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AI & IT Support Technician
Muc-Off Ltd Poole, Dorset
MUC-OFF LTD - SOUTHAMPTON Job Type: Full Time About Muc-Off Muc-Off was founded in 1994 and are now the leading supplier of specialist cycling cleaning and maintenance products in the UK. Following 5 years of explosive growth the company is expanding fast into the European, Asian and North American markets focusing on its core categories of cycling, motorcycle and Athlete performance products. This is a great time to be part of this rapidly growing, truly innovative British business as we embark on new territories and sectors, whilst growing our brand presence across core bicycle and motorbike markets. In what is a truly results driven culture, the rewards and career development opportunities are second to none. About the Role We're looking for a hands on, curious and ambitious AI & IT Support Technician to join our IT team and help shape the future of technology at Muc-Off. This unique role combines practical IT support with the exciting world of Artificial Intelligence. You'll keep our warehouse and office technology running smoothly while helping colleagues make the most of AI tools including ChatGPT, Copilot and Claude to work smarter, faster and more efficiently. From troubleshooting Windows /PCs, printers, Android WMS scanners and warehouse systems to testing new AI tools and improving business processes, no two days will be the same. You'll solve real-world technical challenges, support users across the business, and help identify practical ways AI can simplify everyday work and boost productivity. Working alongside the Head of IT at our Southampton UK Distribution Centre, you'll strengthen our in house IT capability while building valuable experience in both IT support and AI. As your skills and experience grow, you'll have the opportunity to contribute to increasingly advanced AI initiatives, with the potential to progress into an AI Engineer role. Whether you've followed a traditional IT path or are self taught with a passion for technology and AI, if you enjoy solving problems, helping people and finding better ways of working, we'd love to hear from you. Key Responsibilities AI & Innovation You'll help shape how AI is used across Muc-Off by: Championing the practical adoption of AI across the business Supporting colleagues to get the most from AI tools such as ChatGPT, Copilot, Claude and other AI platforms Researching, testing and experimenting with new AI tools, features and workflows Identifying opportunities where AI can simplify everyday tasks, improve productivity and solve real business challenges Building AI assistants, AI agents, prompts and automated workflows Creating simple user guides and delivering AI training to help colleagues build confidence using AI safely and effectively Staying up to date with the latest AI developments and bringing fresh ideas into the business IT Technical Support Alongside helping drive AI adoption, you'll also: Provide friendly, hands on IT support for our warehouse and office teams Troubleshoot Windows 11 PCs, laptops, printers, hardware and software issues Support Android WMS scanners, warehouse technology and connected devices Set up new starter equipment and workstations Troubleshoot desktop, label, USB and network printers Assist with basic networking, Wi Fi and access point checks Maintain IT documentation, asset records and knowledge articles Resolve as many issues as possible in house, escalating where appropriate Qualifications We're more interested in your curiosity, enthusiasm and willingness to learn than ticking every technical box. A genuine passion for AI, technology and finding smarter ways of working Hands on experience using AI tools such as ChatGPT, Copilot, Claude or similar, whether through work, study or personal project. Curiosity to explore, test and experiment with new technologies Strong problem solving skills and a logical approach to troubleshooting Great communication skills and a passion for helping people Willingness to learn new technologies and continuously develop your skills Basic knowledge of Windows PCs and common IT hardware Comfortable working in both warehouse and office environment Willingness to support occasional access point checks at height (training provided) Optional Skills Awareness of responsible AI, data privacy or AI governance Experience with Android handheld scanners or warehouse technology Exposure to WMS, ERP or logistics systems Basic understanding of networking, Wi Fi, switches and firewalls CompTIA A+, Network+ or similar qualifications Experience operating a scissor lift or cherry picker, or willingness to be trained What we can offer 33 days holiday, inclusive of UK bank holidays which increases with length of service Cycle to Work Scheme Long Service Rewards Death in Service Pension contributions Employee Assistance Programme Excellent staff discount on Muc-Off products and other brands in the industry
27/07/2026
Full time
MUC-OFF LTD - SOUTHAMPTON Job Type: Full Time About Muc-Off Muc-Off was founded in 1994 and are now the leading supplier of specialist cycling cleaning and maintenance products in the UK. Following 5 years of explosive growth the company is expanding fast into the European, Asian and North American markets focusing on its core categories of cycling, motorcycle and Athlete performance products. This is a great time to be part of this rapidly growing, truly innovative British business as we embark on new territories and sectors, whilst growing our brand presence across core bicycle and motorbike markets. In what is a truly results driven culture, the rewards and career development opportunities are second to none. About the Role We're looking for a hands on, curious and ambitious AI & IT Support Technician to join our IT team and help shape the future of technology at Muc-Off. This unique role combines practical IT support with the exciting world of Artificial Intelligence. You'll keep our warehouse and office technology running smoothly while helping colleagues make the most of AI tools including ChatGPT, Copilot and Claude to work smarter, faster and more efficiently. From troubleshooting Windows /PCs, printers, Android WMS scanners and warehouse systems to testing new AI tools and improving business processes, no two days will be the same. You'll solve real-world technical challenges, support users across the business, and help identify practical ways AI can simplify everyday work and boost productivity. Working alongside the Head of IT at our Southampton UK Distribution Centre, you'll strengthen our in house IT capability while building valuable experience in both IT support and AI. As your skills and experience grow, you'll have the opportunity to contribute to increasingly advanced AI initiatives, with the potential to progress into an AI Engineer role. Whether you've followed a traditional IT path or are self taught with a passion for technology and AI, if you enjoy solving problems, helping people and finding better ways of working, we'd love to hear from you. Key Responsibilities AI & Innovation You'll help shape how AI is used across Muc-Off by: Championing the practical adoption of AI across the business Supporting colleagues to get the most from AI tools such as ChatGPT, Copilot, Claude and other AI platforms Researching, testing and experimenting with new AI tools, features and workflows Identifying opportunities where AI can simplify everyday tasks, improve productivity and solve real business challenges Building AI assistants, AI agents, prompts and automated workflows Creating simple user guides and delivering AI training to help colleagues build confidence using AI safely and effectively Staying up to date with the latest AI developments and bringing fresh ideas into the business IT Technical Support Alongside helping drive AI adoption, you'll also: Provide friendly, hands on IT support for our warehouse and office teams Troubleshoot Windows 11 PCs, laptops, printers, hardware and software issues Support Android WMS scanners, warehouse technology and connected devices Set up new starter equipment and workstations Troubleshoot desktop, label, USB and network printers Assist with basic networking, Wi Fi and access point checks Maintain IT documentation, asset records and knowledge articles Resolve as many issues as possible in house, escalating where appropriate Qualifications We're more interested in your curiosity, enthusiasm and willingness to learn than ticking every technical box. A genuine passion for AI, technology and finding smarter ways of working Hands on experience using AI tools such as ChatGPT, Copilot, Claude or similar, whether through work, study or personal project. Curiosity to explore, test and experiment with new technologies Strong problem solving skills and a logical approach to troubleshooting Great communication skills and a passion for helping people Willingness to learn new technologies and continuously develop your skills Basic knowledge of Windows PCs and common IT hardware Comfortable working in both warehouse and office environment Willingness to support occasional access point checks at height (training provided) Optional Skills Awareness of responsible AI, data privacy or AI governance Experience with Android handheld scanners or warehouse technology Exposure to WMS, ERP or logistics systems Basic understanding of networking, Wi Fi, switches and firewalls CompTIA A+, Network+ or similar qualifications Experience operating a scissor lift or cherry picker, or willingness to be trained What we can offer 33 days holiday, inclusive of UK bank holidays which increases with length of service Cycle to Work Scheme Long Service Rewards Death in Service Pension contributions Employee Assistance Programme Excellent staff discount on Muc-Off products and other brands in the industry
Software Developer/Analyst
United States Digital Space LLC
The the company (IRC) responds to the world's worst humanitarian crises, helping to restore health, safety, education, economic wellbeing, and power to people devastated by conflict and disaster. Founded in 1933 at the call of Albert Einstein, the IRC is one of the world's largest international humanitarian non-governmental organizations (INGO), at work in more than 40 countries and 29 U.S. cities helping people to survive, reclaim control of their future and strengthen their communities. A force for humanity, IRC employees deliver lasting impact by restoring safety, dignity and hope to millions. If you're a solutions-driven, passionate change-maker, come join us in positively impacting the lives of millions of people world-wide for a better future. To ensure that we are effectively carrying out our mission, we have committed to implement outcome-driven and evidence-based programs, measure what we achieve, act on what we learn, and generate new and relevant evidence. We need to produce high-quality data that can inform decision-making while also meeting donor requirements. The Monitoring Evaluation Technology Accountability and Learning (METAL) Unit is responsible for global guidance, resources and coordination to ensure that staff across all our programs are equipped with the skills and tools they need to generate and manage the right data for programmatic decision-making across the IRC. IRC's M&E efforts rely heavily on technology platforms, and IRC's Measurement Strategic Plan calls for further investment in and commitment to technology for M&E. Over the coming 2-3 years, the Data and Analytics Team (which sits at the intersection of the METAL Unit and IT) will design, deliver and support a more comprehensive technology stack for M&E, ensuring Crisis Response, Recovery and Development (CRRD) program, technical and M&E staff have access to more comprehensive technology platforms to improve program delivery. Job Overview/Summary Focused on Program Data and Analytics technology support, the Software Developer-Analyst is a member of the team responsible for developing, implementing, and supporting IRC's global technology tools and platform for the organization and analysis of the data generated by these products. This includes CommCare, Microsoft PowerApps, Microsoft Power BI, and Microsoft SQL Server Azure based data warehouse. Working in partnership with staff at various levels and locations, the Software Developer Analyst performs a key role in analyzing, developing, and improving tools and processes contributing to the successful rollout of the Technology for Measurement products. Specific tasks include data platform development, support, configuration, technical assistance and issues routing, second line help desk support, and participation in setting standards for processes, data quality, security, and systems configurations. Major Responsibilities Software Development Work with the CRRD MEAL and Program teams and other stakeholders in requirements gathering and analysis to inform development or improvement of measurement technology products. Support the development and rollout of organization-wide dashboard products including Annual Statistics and Program Indicator Dashboards in close collaboration with the METAL Unit MEAL teams and sector subject-matter experts. Develop and improve Power Platform applications and other low-code/no-code data platforms to support program data within the IRC. Participate in the design, implementation, and operation of data quality processes as they apply to the technology for programs data products. Develop technical documentation of technology for program products such as user guides, setup manuals etc. for the implementation team and end users. Develop and maintain technology development standards and guidelines to inform best practices in technology for program products development. Ensure adherence to developed standards and guidelines as well as IRC-wide guidelines, standards, and processes, including information / data security policies. Provide technology training to business teams, deployment teams and end users on developed data products. Support standards for data protection, confidentiality and data security for the technology systems and collaborate with key teams in IT security and protection teams for guidance as needed. Review and analyze software requirements and convert these into estimated developer tasks. Any other duties as assigned by the supervisor. Data Analysis Work with the CRRD MEAL and program teams and other stakeholders to understand and document data analysis requirements and subsequently, Lead the design and development of DataMarts, multi-dimensional cubes and ad-hoc persistent tables to facilitate analysis and development of IRC global dashboards. Training of data analysts and other staff on the use of the BI DataMarts and multi-dimensional cubes to support development of Power BI dashboard using data stored in the IRC data lake house. Develop and maintain data and metadata definitions, documentation and versioning. Technology Support Provide Tier-2 and Tier-3 support emerging from Countries and Regional Technology support team for the measurement technology products rolled out. During piloting and rollout, provide training and hyper-support on measurement technology products in close collaboration with the regional technology teams. Systems analysis support of data engineering and architecture teams in converting business requirements into technology deliverables. Required Skills At least five years of experience working in technology domain to develop and rollout data platforms for programs - out of which, at least three years of experience developing, implementing, and supporting CommCare applications and Microsoft Power BI dashboards for large and complex programs. Experience in public sector programming, and M&E specific technology tools Ability to effectively communicate in English both in verbal (i.e., day-to-day discussions, team meetings) and written (requirements and design specifications) form, as well as an overall ability to be clear and concise in all communications. Strong analytic curiosity and innovative problem-solving skills using a system thinking approach. Demonstrable ability to work both independently and in a dynamic, cross-functional team structure. Demonstrable ability to establish and maintain working relationships across all departments and levels of the organization. Preferred Skills Develop, customize, automate and manage ETLs and other data integration tools including using azure integration services, data factory and SQL server Integration Services in accordance with the IRC data lake house design and architecture. Experience working with enterprise grade systems implemented in multiple departments and countries to collect, store, and visualize data specifically CommCare and PowerBI or similar. Advanced level experience of MS Excel including developing macros and consolidating data from multiple Excel spreadsheets. Experience working with Microsoft T-SQL, Azure SQL Server, Data Factory, SSIS/other ETL tools, data modeling and data factory and warehouse development. Experience providing support for enterprise-level platforms with significant numbers of users across global time zones and varying IT infrastructure. Strong experience with mobile data collection and/or case management using CommCare and the Microsoft Power Platform (PowerApps, Power Automate and Power Flow) Experience with enterprise data architectures, integration, and master data management Direct experience implementing programs or M&E in an international NGO context. Ability to speak, read and understand one other language including French, Spanish and/or Arabic is a strong advantage. This position has an end date of 31 May 2027. This is a hybrid position open to internals candidates based in countries where IRC operates who have the right to work in their location. Successful candidates will be hired on a local employment contract and according to local salary scale. This role is open to candidates located and with the right to work in the United Kingdom, and Kenya. Compensation: (£45,954 - £53,614). Ranges are based on various factors including the labor market, job type, internal equity, and budget. Exact offers are calibrated by work location, individual candidate experience and skills relative to the defined job requirements PROFESSIONAL STANDARDS All the company workers must adhere to the core values and principles outlined in IRC Way - Standards for Professional Conduct. Our Standards are Integrity, Service, Equality and Accountability. In accordance with these values, the IRC operates and enforces policies on Safeguarding, Conflicts of Interest, Fiscal Integrity, and Reporting Wrongdoing and Protection from Retaliation. IRC is committed to take all necessary preventive measures and create an environment where people feel safe, and to take all necessary actions and corrective measures when harm occurs. IRC builds teams of professionals who promote critical reflection, power sharing, debate, and objectivity to deliver the best possible services to our clients.
27/07/2026
Full time
The the company (IRC) responds to the world's worst humanitarian crises, helping to restore health, safety, education, economic wellbeing, and power to people devastated by conflict and disaster. Founded in 1933 at the call of Albert Einstein, the IRC is one of the world's largest international humanitarian non-governmental organizations (INGO), at work in more than 40 countries and 29 U.S. cities helping people to survive, reclaim control of their future and strengthen their communities. A force for humanity, IRC employees deliver lasting impact by restoring safety, dignity and hope to millions. If you're a solutions-driven, passionate change-maker, come join us in positively impacting the lives of millions of people world-wide for a better future. To ensure that we are effectively carrying out our mission, we have committed to implement outcome-driven and evidence-based programs, measure what we achieve, act on what we learn, and generate new and relevant evidence. We need to produce high-quality data that can inform decision-making while also meeting donor requirements. The Monitoring Evaluation Technology Accountability and Learning (METAL) Unit is responsible for global guidance, resources and coordination to ensure that staff across all our programs are equipped with the skills and tools they need to generate and manage the right data for programmatic decision-making across the IRC. IRC's M&E efforts rely heavily on technology platforms, and IRC's Measurement Strategic Plan calls for further investment in and commitment to technology for M&E. Over the coming 2-3 years, the Data and Analytics Team (which sits at the intersection of the METAL Unit and IT) will design, deliver and support a more comprehensive technology stack for M&E, ensuring Crisis Response, Recovery and Development (CRRD) program, technical and M&E staff have access to more comprehensive technology platforms to improve program delivery. Job Overview/Summary Focused on Program Data and Analytics technology support, the Software Developer-Analyst is a member of the team responsible for developing, implementing, and supporting IRC's global technology tools and platform for the organization and analysis of the data generated by these products. This includes CommCare, Microsoft PowerApps, Microsoft Power BI, and Microsoft SQL Server Azure based data warehouse. Working in partnership with staff at various levels and locations, the Software Developer Analyst performs a key role in analyzing, developing, and improving tools and processes contributing to the successful rollout of the Technology for Measurement products. Specific tasks include data platform development, support, configuration, technical assistance and issues routing, second line help desk support, and participation in setting standards for processes, data quality, security, and systems configurations. Major Responsibilities Software Development Work with the CRRD MEAL and Program teams and other stakeholders in requirements gathering and analysis to inform development or improvement of measurement technology products. Support the development and rollout of organization-wide dashboard products including Annual Statistics and Program Indicator Dashboards in close collaboration with the METAL Unit MEAL teams and sector subject-matter experts. Develop and improve Power Platform applications and other low-code/no-code data platforms to support program data within the IRC. Participate in the design, implementation, and operation of data quality processes as they apply to the technology for programs data products. Develop technical documentation of technology for program products such as user guides, setup manuals etc. for the implementation team and end users. Develop and maintain technology development standards and guidelines to inform best practices in technology for program products development. Ensure adherence to developed standards and guidelines as well as IRC-wide guidelines, standards, and processes, including information / data security policies. Provide technology training to business teams, deployment teams and end users on developed data products. Support standards for data protection, confidentiality and data security for the technology systems and collaborate with key teams in IT security and protection teams for guidance as needed. Review and analyze software requirements and convert these into estimated developer tasks. Any other duties as assigned by the supervisor. Data Analysis Work with the CRRD MEAL and program teams and other stakeholders to understand and document data analysis requirements and subsequently, Lead the design and development of DataMarts, multi-dimensional cubes and ad-hoc persistent tables to facilitate analysis and development of IRC global dashboards. Training of data analysts and other staff on the use of the BI DataMarts and multi-dimensional cubes to support development of Power BI dashboard using data stored in the IRC data lake house. Develop and maintain data and metadata definitions, documentation and versioning. Technology Support Provide Tier-2 and Tier-3 support emerging from Countries and Regional Technology support team for the measurement technology products rolled out. During piloting and rollout, provide training and hyper-support on measurement technology products in close collaboration with the regional technology teams. Systems analysis support of data engineering and architecture teams in converting business requirements into technology deliverables. Required Skills At least five years of experience working in technology domain to develop and rollout data platforms for programs - out of which, at least three years of experience developing, implementing, and supporting CommCare applications and Microsoft Power BI dashboards for large and complex programs. Experience in public sector programming, and M&E specific technology tools Ability to effectively communicate in English both in verbal (i.e., day-to-day discussions, team meetings) and written (requirements and design specifications) form, as well as an overall ability to be clear and concise in all communications. Strong analytic curiosity and innovative problem-solving skills using a system thinking approach. Demonstrable ability to work both independently and in a dynamic, cross-functional team structure. Demonstrable ability to establish and maintain working relationships across all departments and levels of the organization. Preferred Skills Develop, customize, automate and manage ETLs and other data integration tools including using azure integration services, data factory and SQL server Integration Services in accordance with the IRC data lake house design and architecture. Experience working with enterprise grade systems implemented in multiple departments and countries to collect, store, and visualize data specifically CommCare and PowerBI or similar. Advanced level experience of MS Excel including developing macros and consolidating data from multiple Excel spreadsheets. Experience working with Microsoft T-SQL, Azure SQL Server, Data Factory, SSIS/other ETL tools, data modeling and data factory and warehouse development. Experience providing support for enterprise-level platforms with significant numbers of users across global time zones and varying IT infrastructure. Strong experience with mobile data collection and/or case management using CommCare and the Microsoft Power Platform (PowerApps, Power Automate and Power Flow) Experience with enterprise data architectures, integration, and master data management Direct experience implementing programs or M&E in an international NGO context. Ability to speak, read and understand one other language including French, Spanish and/or Arabic is a strong advantage. This position has an end date of 31 May 2027. This is a hybrid position open to internals candidates based in countries where IRC operates who have the right to work in their location. Successful candidates will be hired on a local employment contract and according to local salary scale. This role is open to candidates located and with the right to work in the United Kingdom, and Kenya. Compensation: (£45,954 - £53,614). Ranges are based on various factors including the labor market, job type, internal equity, and budget. Exact offers are calibrated by work location, individual candidate experience and skills relative to the defined job requirements PROFESSIONAL STANDARDS All the company workers must adhere to the core values and principles outlined in IRC Way - Standards for Professional Conduct. Our Standards are Integrity, Service, Equality and Accountability. In accordance with these values, the IRC operates and enforces policies on Safeguarding, Conflicts of Interest, Fiscal Integrity, and Reporting Wrongdoing and Protection from Retaliation. IRC is committed to take all necessary preventive measures and create an environment where people feel safe, and to take all necessary actions and corrective measures when harm occurs. IRC builds teams of professionals who promote critical reflection, power sharing, debate, and objectivity to deliver the best possible services to our clients.
Software Developer/Analyst
Herdataproject
Software Developer/AnalystApplyremote type: Hybridlocations: Nairobi, Kenya: London, UKtime type: Full timeposted on: Posted Todayjob requisition id: JRThe International Rescue Committee (IRC) responds to the world's worst humanitarian crises, helping to restore health, safety, education, economic wellbeing, and power to people devastated by conflict and disaster. Founded in 1933 at the call of Albert Einstein, the IRC is one of the world's largest international humanitarian non-governmental organizations (INGO), at work in more than 40 countries and 29 U.S. cities helping people to survive, reclaim control of their future and strengthen their communities. A force for humanity, IRC employees deliver lasting impact by restoring safety, dignity and hope to millions. If you're a solutions-driven, passionate change-maker, come join us in positively impacting the lives of millions of people world-wide for a better future.To ensure that we are effectively carrying out our mission, we have committed to implement outcome-driven and evidence-based programs, measure what we achieve, act on what we learn, and generate new and relevant evidence. We need to produce high-quality data that can inform decision-making while also meeting donor requirements. The Monitoring Evaluation Technology Accountability and Learning (METAL) Unit is responsible for global guidance, resources and coordination to ensure that staff across all our programs are equipped with the skills and tools they need to generate and manage the right data for programmatic decision-making across the IRC. IRC's M&E efforts rely heavily on technology platforms, and IRC's Measurement Strategic Plan calls for further investment in and commitment to technology for M&E. Over the coming 2-3 years, the Data and Analytics Team (which sits at the intersection of the METAL Unit and IT) will design, deliver and support a more comprehensive technology stack for M&E, ensuring Crisis Response, Recovery and Development (CRRD) program, technical and M&E staff have access to more comprehensive technology platforms to improve program delivery. Job Overview/Summary Focused on Program Data and Analytics technology support, the Software Developer-Analyst is a member of the team responsible for developing, implementing, and supporting IRC's global technology tools and platform for the organization and analysis of the data generated by these products. This includes CommCare, Microsoft PowerApps, Microsoft Power BI, and Microsoft SQL Server Azure based data warehouse. Working in partnership with staff at various levels and locations, the Software Developer Analyst performs a key role in analyzing, developing, and improving tools and processes contributing to the successful rollout of the Technology for Measurement products.Specific tasks include data platform development, support, configuration, technical assistance and issues routing, second line help desk support, and participation in setting standards for processes, data quality, security, and systems configurations. Major Responsibilities Software Development Work with the CRRD MEAL and Program teams and other stakeholders in requirements gathering and analysis to inform development or improvement of measurement technology products. Support the development and rollout of organization-wide dashboard products including Annual Statistics and Program Indicator Dashboards in close collaboration with the METAL Unit MEAL teams and sector subject-matter experts. Develop and improve Power Platform applications and other low-code/no-code data platforms to support program data within the IRC. Participate in the design, implementation, and operation of data quality processes as they apply to the technology for programs data products. Develop technical documentation of technology for program products such as user guides, setup manuals etc. for the implementation team and end users. Develop and maintain technology development standards and guidelines to inform best practices in technology for program products development. Ensure adherence to developed standards and guidelines as well as IRC-wide guidelines, standards, and processes, including information / data security policies. Provide technology training to business teams, deployment teams and end users on developed data products. Support standards for data protection, confidentiality and data security for the technology systems and collaborate with key teams in IT security and protection teams for guidance as needed. Review and analyze software requirements and convert these into estimated developer tasks. Any other duties as assigned by the supervisor. Data Analysis Work with the CRRD MEAL and program teams and other stakeholders to understand and document data analysis requirements and subsequently, Lead the design and development of DataMarts, multi-dimensional cubes and ad-hoc persistent tables to facilitate analysis and development of IRC global dashboards. Training of data analysts and other staff on the use of the BI DataMarts and multi-dimensional cubes to support development of Power BI dashboard using data stored in the IRC data lake house. Develop and maintain data and metadata definitions, documentation and versioning. Technology Support Provide Tier-2 and Tier-3 support emerging from Countries and Regional Technology support team for the measurement technology products rolled out. During piloting and rollout, provide training and hyper-support on measurement technology products in close collaboration with the regional technology teams. Systems analysis support of data engineering and architecture teams in converting business requirements into technology deliverables. Required Skills At least five years of experience working in technology domain to develop and rollout data platforms for programs - out of which, at least three years of experience developing, implementing, and supporting CommCare applications and Microsoft Power BI dashboards for large and complex programs. Experience in public sector programming, and M&E specific technology tools Ability to effectively communicate in English both in verbal (i.e., day-to-day discussions, team meetings) and written (requirements and design specifications) form, as well as an overall ability to be clear and concise in all communications. Strong analytic curiosity and innovative problem-solving skills using a system thinking approach. Demonstrable ability to work both independently and in a dynamic, cross-functional team structure. Demonstrable ability to establish and maintain working relationships across all departments and levels of the organization. Preferred Skills Develop, customize, automate and manage ETLs and other data integration tools including using azure integration services, data factory and SQL server Integration Services in accordance with the IRC data lake house design and architecture. Experience working with enterprise grade systems implemented in multiple departments and countries to collect, store, and visualize data specifically CommCare and PowerBI or similar. Advanced level experience of MS Excel including developing macros and consolidating data from multiple Excel spreadsheets. Experience working with Microsoft T-SQL, Azure SQL Server, Data Factory, SSIS/other ETL tools, data modeling and data factory and warehouse development. Experience providing support for enterprise-level platforms with significant numbers of users across global time zones and varying IT infrastructure. Strong experience with mobile data collection and/or case management using CommCare and the Microsoft Power Platform (PowerApps, Power Automate and Power Flow) Experience with enterprise data architectures, integration, and master data management Direct experience implementing programs or M&E in an international NGO context. Ability to speak, read and understand one other language including French, Spanish and/or Arabic is a strong advantage. This position has an end date of 31 May 2027. This is a hybrid position open to internals candidates based in countries where IRC operates who have the right to work in their location. Successful candidates will be hired on a local employment contract and according to local salary scale. This role is open to candidates located and with the right to work in the United Kingdom, and Kenya. Compensation: (£45,954 - £53,614). Ranges are based on various factors including the labor market, job type, internal equity, and budget. Exact offers are calibrated by work location, individual candidate experience and skills relative to the defined job requirements PROFESSIONAL STANDARDS All International Rescue Committee workers must adhere to the core values and principles outlined in IRC Way - Standards for Professional Conduct. Our Standards are Integrity, Service, Equality and Accountability. In accordance with these values, the IRC operates and enforces policies on Safeguarding, Conflicts of Interest, Fiscal Integrity, and Reporting Wrongdoing and Protection from Retaliation. IRC is committed to take all necessary preventive measures and create an environment where people feel safe, and to take all necessary actions and corrective measures when harm occurs. IRC builds teams of professionals who promote critical reflection, power sharing, debate, and objectivity to deliver the best possible services to our clients.
27/07/2026
Full time
Software Developer/AnalystApplyremote type: Hybridlocations: Nairobi, Kenya: London, UKtime type: Full timeposted on: Posted Todayjob requisition id: JRThe International Rescue Committee (IRC) responds to the world's worst humanitarian crises, helping to restore health, safety, education, economic wellbeing, and power to people devastated by conflict and disaster. Founded in 1933 at the call of Albert Einstein, the IRC is one of the world's largest international humanitarian non-governmental organizations (INGO), at work in more than 40 countries and 29 U.S. cities helping people to survive, reclaim control of their future and strengthen their communities. A force for humanity, IRC employees deliver lasting impact by restoring safety, dignity and hope to millions. If you're a solutions-driven, passionate change-maker, come join us in positively impacting the lives of millions of people world-wide for a better future.To ensure that we are effectively carrying out our mission, we have committed to implement outcome-driven and evidence-based programs, measure what we achieve, act on what we learn, and generate new and relevant evidence. We need to produce high-quality data that can inform decision-making while also meeting donor requirements. The Monitoring Evaluation Technology Accountability and Learning (METAL) Unit is responsible for global guidance, resources and coordination to ensure that staff across all our programs are equipped with the skills and tools they need to generate and manage the right data for programmatic decision-making across the IRC. IRC's M&E efforts rely heavily on technology platforms, and IRC's Measurement Strategic Plan calls for further investment in and commitment to technology for M&E. Over the coming 2-3 years, the Data and Analytics Team (which sits at the intersection of the METAL Unit and IT) will design, deliver and support a more comprehensive technology stack for M&E, ensuring Crisis Response, Recovery and Development (CRRD) program, technical and M&E staff have access to more comprehensive technology platforms to improve program delivery. Job Overview/Summary Focused on Program Data and Analytics technology support, the Software Developer-Analyst is a member of the team responsible for developing, implementing, and supporting IRC's global technology tools and platform for the organization and analysis of the data generated by these products. This includes CommCare, Microsoft PowerApps, Microsoft Power BI, and Microsoft SQL Server Azure based data warehouse. Working in partnership with staff at various levels and locations, the Software Developer Analyst performs a key role in analyzing, developing, and improving tools and processes contributing to the successful rollout of the Technology for Measurement products.Specific tasks include data platform development, support, configuration, technical assistance and issues routing, second line help desk support, and participation in setting standards for processes, data quality, security, and systems configurations. Major Responsibilities Software Development Work with the CRRD MEAL and Program teams and other stakeholders in requirements gathering and analysis to inform development or improvement of measurement technology products. Support the development and rollout of organization-wide dashboard products including Annual Statistics and Program Indicator Dashboards in close collaboration with the METAL Unit MEAL teams and sector subject-matter experts. Develop and improve Power Platform applications and other low-code/no-code data platforms to support program data within the IRC. Participate in the design, implementation, and operation of data quality processes as they apply to the technology for programs data products. Develop technical documentation of technology for program products such as user guides, setup manuals etc. for the implementation team and end users. Develop and maintain technology development standards and guidelines to inform best practices in technology for program products development. Ensure adherence to developed standards and guidelines as well as IRC-wide guidelines, standards, and processes, including information / data security policies. Provide technology training to business teams, deployment teams and end users on developed data products. Support standards for data protection, confidentiality and data security for the technology systems and collaborate with key teams in IT security and protection teams for guidance as needed. Review and analyze software requirements and convert these into estimated developer tasks. Any other duties as assigned by the supervisor. Data Analysis Work with the CRRD MEAL and program teams and other stakeholders to understand and document data analysis requirements and subsequently, Lead the design and development of DataMarts, multi-dimensional cubes and ad-hoc persistent tables to facilitate analysis and development of IRC global dashboards. Training of data analysts and other staff on the use of the BI DataMarts and multi-dimensional cubes to support development of Power BI dashboard using data stored in the IRC data lake house. Develop and maintain data and metadata definitions, documentation and versioning. Technology Support Provide Tier-2 and Tier-3 support emerging from Countries and Regional Technology support team for the measurement technology products rolled out. During piloting and rollout, provide training and hyper-support on measurement technology products in close collaboration with the regional technology teams. Systems analysis support of data engineering and architecture teams in converting business requirements into technology deliverables. Required Skills At least five years of experience working in technology domain to develop and rollout data platforms for programs - out of which, at least three years of experience developing, implementing, and supporting CommCare applications and Microsoft Power BI dashboards for large and complex programs. Experience in public sector programming, and M&E specific technology tools Ability to effectively communicate in English both in verbal (i.e., day-to-day discussions, team meetings) and written (requirements and design specifications) form, as well as an overall ability to be clear and concise in all communications. Strong analytic curiosity and innovative problem-solving skills using a system thinking approach. Demonstrable ability to work both independently and in a dynamic, cross-functional team structure. Demonstrable ability to establish and maintain working relationships across all departments and levels of the organization. Preferred Skills Develop, customize, automate and manage ETLs and other data integration tools including using azure integration services, data factory and SQL server Integration Services in accordance with the IRC data lake house design and architecture. Experience working with enterprise grade systems implemented in multiple departments and countries to collect, store, and visualize data specifically CommCare and PowerBI or similar. Advanced level experience of MS Excel including developing macros and consolidating data from multiple Excel spreadsheets. Experience working with Microsoft T-SQL, Azure SQL Server, Data Factory, SSIS/other ETL tools, data modeling and data factory and warehouse development. Experience providing support for enterprise-level platforms with significant numbers of users across global time zones and varying IT infrastructure. Strong experience with mobile data collection and/or case management using CommCare and the Microsoft Power Platform (PowerApps, Power Automate and Power Flow) Experience with enterprise data architectures, integration, and master data management Direct experience implementing programs or M&E in an international NGO context. Ability to speak, read and understand one other language including French, Spanish and/or Arabic is a strong advantage. This position has an end date of 31 May 2027. This is a hybrid position open to internals candidates based in countries where IRC operates who have the right to work in their location. Successful candidates will be hired on a local employment contract and according to local salary scale. This role is open to candidates located and with the right to work in the United Kingdom, and Kenya. Compensation: (£45,954 - £53,614). Ranges are based on various factors including the labor market, job type, internal equity, and budget. Exact offers are calibrated by work location, individual candidate experience and skills relative to the defined job requirements PROFESSIONAL STANDARDS All International Rescue Committee workers must adhere to the core values and principles outlined in IRC Way - Standards for Professional Conduct. Our Standards are Integrity, Service, Equality and Accountability. In accordance with these values, the IRC operates and enforces policies on Safeguarding, Conflicts of Interest, Fiscal Integrity, and Reporting Wrongdoing and Protection from Retaliation. IRC is committed to take all necessary preventive measures and create an environment where people feel safe, and to take all necessary actions and corrective measures when harm occurs. IRC builds teams of professionals who promote critical reflection, power sharing, debate, and objectivity to deliver the best possible services to our clients.
Data Architect & Engineering Lead
NHS St. Albans, Hertfordshire
Go back Hertfordshire Partnership University NHS Foundation Trust Data Architect & Engineering Lead The closing date is 26 July 2026 We are seeking an experienced and forward-thinking Data Architect and Engineering Lead to play a pivotal role in the development of a modern data platform, that underpins reporting, analytics, and decision-making across clinical and corporate services. The role will provide leadership for the Trust's data architecture, ensuring that high-quality, trusted data is available to support better patient outcomes, service improvement, and organisational performance. This role offers the opportunity to make a significant impact by combining technical leadership and transformation within an organisation where data is increasingly central to delivering high-quality healthcare services. Main duties of the job The Data Architect & Engineering Lead will: Oversee the design, build, and maintenance of the data platform, including storage, data movement, and transformation. Use data modelling and engineering skills to support operational systems, business intelligence, and analytics. Provide technical leadership and lead data engineers Produce and maintain high-quality documentation. About us Hertfordshire Partnership University NHS Foundation Trust are one of just five mental health trusts to achieve an overall rating of 'Outstanding' from the Care Quality Commission. Our family of over 4,500 members of staff provide health and social care for people with mental ill health, physical ill health and learning disabilities across Hertfordshire, Buckinghamshire, Essex and Norfolk, delivering these services within the community and several inpatient settings. Everything is underpinned by choice, independence and equality, with our Trust values embedded throughout: Welcoming. Kind. Positive. Respectful. Professional. Job description Job responsibilities Data Engineering Define and own the Trusts data architecture and engineering strategy, aligning with organizational priorities and digital transformation goals. Champion the adoption of modern data technologies (cloud, data lakes, streaming pipelines) to future-proof the Trusts architecture. Oversee the design, build, and maintenance of the enterprise data platform, ensuring resilience, scalability, and performance. Lead the integration of disparate clinical and operational systems into a unified warehouse Establish data quality standards for data ingestion, transformation, and storage, ensuring consistency across all pipelines. Ensure the data platform supports predictive modelling, AI/ML initiatives, and near real-time reporting Provide ongoing source of expertise in database design, development and maintenance of the data environment. Identify, report on and implement new techniques, tools and best practices where they will benefit the organisation. To maintain technical, professional and specialist knowledge and understanding and be competent in the use of a wide range of specialist software packages, including, but not limited to Microsoft SQL Server (including MSSQL, Reporting Services, Integration Services, Analytical Services) and Power BI. To specify and develop solutions that will drive automation and efficiency across data engineering processes. Interpret; analyse; investigate; and resolve complex data warehouse problems and evaluate and analyse a range of options to implement the most cost-effective solution to prevent reoccurrence of the problems. Skilled in data modelling techniques and tools to design, optimize, and manage data structures To create and maintain high quality documentation for all data warehouse and data engineering related processes. Able to document using approaches such as Entity Relationship diagrams, Data Flow Diagrams or Star Schema Diagrams Develop detailed technical designs, SOPs, and post-incident reports to support continuous improvement. Keep documentation up to date to minimise recurrence of issues and support future development. Analysing and Judgement Independently exercise sound judgment in complex situations, requiring thorough analysis, and interpretation of patterns and anomalies in data. Analyse, investigate and resolve complex data queries and data quality issues (e.g. missing data, erroneous data, inaccurate data translation) using in-depth knowledge and advanced analysis skills. Planning and Organising Responsible for planning, organising, and coordinating both their own work and the work of a direct report. The role will break down complex technical requirements into actionable tasks, define timelines and milestones, and proactively manage risks, dependencies, and resource needs. For instance, the delivery of the data models part of the Trust PowerBI reporting project. Ability to organise, prioritise and manage a complex, heavy workload. This will include the ability to adjust plans at short notice to reflect changing priorities for projects and programmes that impact across departments. Use proven organisational skills to influence and empower less experienced stakeholders in a project. Able to ensure timely, appropriate updates to managers and project managers, highlighting areas of concerns around meeting deadlines. Ability to delegate appropriately to ensure the team meets deadlines. To inform and make recommendations to support the digital deployment and roll out of project plans. Reporting Support the development of business intelligence (BI) reporting systems, ensuring solutions are efficient, scalable, and future proof. Lead the development of nationally mandated datasets, adhering to relevant standards and timelines. Implement changes to IM&T practices and procedures in response to evolving reporting requirements or identified data quality concerns. Stakeholder Collaboration Act as the senior authority on data architecture and engineering, advising stakeholders on opportunities and risks. Build strong partnerships with external suppliers (e.g., clinical system vendors) to facilitate seamless data integration. Negotiate technical requirements, SLAs, and compliance standards with third-party providers. Represent the Trust in external forums, ensuring alignment with industry best practices and regulatory frameworks. Consult with all relevant stakeholders to develop the trusts various data warehouses to meet the full range of clinical and operational needs, including near real-time as well as retrospective reporting. Act as a key technical advisor during digital transformation initiatives such as system migrations, upgrades and procurements. Communicate complex integration concepts to non-technical stakeholders, fostering shared understanding and trust. Person Specification Experience Essential Significant experience in data architecture and engineering leadership roles. Extensive experience in designing and delivering large scale data solutions. Experience of data modelling techniques and tools to design and manage data structures. Knowledge Essential Knowledge of data governance and data quality assurance. Experience of designing and implementing data quality frameworks. Proven experience of using Microsoft BI stack (SSIS), SQL Server and Reporting Services (SSRS, Power BI), Analytical Service (SSAS), Fabric. Desirable Knowledge of Mental Health Services. Knowledge of hospital information systems, particularly patient administration and clinical management systems. Qualifications Essential A master's degree or postgraduate qualification in a related technical discipline and / or equivalent professional experience. Educated to degree level in Computer Science, data engineering, or a related technical discipline; or equivalent experience working in complex corporate IT operational environments. Evidence of continued professional development. Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions. Employer details Employer name Hertfordshire Partnership University NHS Foundation Trust Address 99 Waverley Road 99 Waverley Road St Albans AL35TL United Kingdom Employer's website (Opens in a new tab) £59,798 to £67,020 a yearper annum pro rata (5% fringe HCAS included)
27/07/2026
Full time
Go back Hertfordshire Partnership University NHS Foundation Trust Data Architect & Engineering Lead The closing date is 26 July 2026 We are seeking an experienced and forward-thinking Data Architect and Engineering Lead to play a pivotal role in the development of a modern data platform, that underpins reporting, analytics, and decision-making across clinical and corporate services. The role will provide leadership for the Trust's data architecture, ensuring that high-quality, trusted data is available to support better patient outcomes, service improvement, and organisational performance. This role offers the opportunity to make a significant impact by combining technical leadership and transformation within an organisation where data is increasingly central to delivering high-quality healthcare services. Main duties of the job The Data Architect & Engineering Lead will: Oversee the design, build, and maintenance of the data platform, including storage, data movement, and transformation. Use data modelling and engineering skills to support operational systems, business intelligence, and analytics. Provide technical leadership and lead data engineers Produce and maintain high-quality documentation. About us Hertfordshire Partnership University NHS Foundation Trust are one of just five mental health trusts to achieve an overall rating of 'Outstanding' from the Care Quality Commission. Our family of over 4,500 members of staff provide health and social care for people with mental ill health, physical ill health and learning disabilities across Hertfordshire, Buckinghamshire, Essex and Norfolk, delivering these services within the community and several inpatient settings. Everything is underpinned by choice, independence and equality, with our Trust values embedded throughout: Welcoming. Kind. Positive. Respectful. Professional. Job description Job responsibilities Data Engineering Define and own the Trusts data architecture and engineering strategy, aligning with organizational priorities and digital transformation goals. Champion the adoption of modern data technologies (cloud, data lakes, streaming pipelines) to future-proof the Trusts architecture. Oversee the design, build, and maintenance of the enterprise data platform, ensuring resilience, scalability, and performance. Lead the integration of disparate clinical and operational systems into a unified warehouse Establish data quality standards for data ingestion, transformation, and storage, ensuring consistency across all pipelines. Ensure the data platform supports predictive modelling, AI/ML initiatives, and near real-time reporting Provide ongoing source of expertise in database design, development and maintenance of the data environment. Identify, report on and implement new techniques, tools and best practices where they will benefit the organisation. To maintain technical, professional and specialist knowledge and understanding and be competent in the use of a wide range of specialist software packages, including, but not limited to Microsoft SQL Server (including MSSQL, Reporting Services, Integration Services, Analytical Services) and Power BI. To specify and develop solutions that will drive automation and efficiency across data engineering processes. Interpret; analyse; investigate; and resolve complex data warehouse problems and evaluate and analyse a range of options to implement the most cost-effective solution to prevent reoccurrence of the problems. Skilled in data modelling techniques and tools to design, optimize, and manage data structures To create and maintain high quality documentation for all data warehouse and data engineering related processes. Able to document using approaches such as Entity Relationship diagrams, Data Flow Diagrams or Star Schema Diagrams Develop detailed technical designs, SOPs, and post-incident reports to support continuous improvement. Keep documentation up to date to minimise recurrence of issues and support future development. Analysing and Judgement Independently exercise sound judgment in complex situations, requiring thorough analysis, and interpretation of patterns and anomalies in data. Analyse, investigate and resolve complex data queries and data quality issues (e.g. missing data, erroneous data, inaccurate data translation) using in-depth knowledge and advanced analysis skills. Planning and Organising Responsible for planning, organising, and coordinating both their own work and the work of a direct report. The role will break down complex technical requirements into actionable tasks, define timelines and milestones, and proactively manage risks, dependencies, and resource needs. For instance, the delivery of the data models part of the Trust PowerBI reporting project. Ability to organise, prioritise and manage a complex, heavy workload. This will include the ability to adjust plans at short notice to reflect changing priorities for projects and programmes that impact across departments. Use proven organisational skills to influence and empower less experienced stakeholders in a project. Able to ensure timely, appropriate updates to managers and project managers, highlighting areas of concerns around meeting deadlines. Ability to delegate appropriately to ensure the team meets deadlines. To inform and make recommendations to support the digital deployment and roll out of project plans. Reporting Support the development of business intelligence (BI) reporting systems, ensuring solutions are efficient, scalable, and future proof. Lead the development of nationally mandated datasets, adhering to relevant standards and timelines. Implement changes to IM&T practices and procedures in response to evolving reporting requirements or identified data quality concerns. Stakeholder Collaboration Act as the senior authority on data architecture and engineering, advising stakeholders on opportunities and risks. Build strong partnerships with external suppliers (e.g., clinical system vendors) to facilitate seamless data integration. Negotiate technical requirements, SLAs, and compliance standards with third-party providers. Represent the Trust in external forums, ensuring alignment with industry best practices and regulatory frameworks. Consult with all relevant stakeholders to develop the trusts various data warehouses to meet the full range of clinical and operational needs, including near real-time as well as retrospective reporting. Act as a key technical advisor during digital transformation initiatives such as system migrations, upgrades and procurements. Communicate complex integration concepts to non-technical stakeholders, fostering shared understanding and trust. Person Specification Experience Essential Significant experience in data architecture and engineering leadership roles. Extensive experience in designing and delivering large scale data solutions. Experience of data modelling techniques and tools to design and manage data structures. Knowledge Essential Knowledge of data governance and data quality assurance. Experience of designing and implementing data quality frameworks. Proven experience of using Microsoft BI stack (SSIS), SQL Server and Reporting Services (SSRS, Power BI), Analytical Service (SSAS), Fabric. Desirable Knowledge of Mental Health Services. Knowledge of hospital information systems, particularly patient administration and clinical management systems. Qualifications Essential A master's degree or postgraduate qualification in a related technical discipline and / or equivalent professional experience. Educated to degree level in Computer Science, data engineering, or a related technical discipline; or equivalent experience working in complex corporate IT operational environments. Evidence of continued professional development. Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions. Employer details Employer name Hertfordshire Partnership University NHS Foundation Trust Address 99 Waverley Road 99 Waverley Road St Albans AL35TL United Kingdom Employer's website (Opens in a new tab) £59,798 to £67,020 a yearper annum pro rata (5% fringe HCAS included)
Lead Data Engineer
慨正橡扯
Lead Data Engineer As a Lead Data Engineer (Consultant) at Kainos you will be responsible for designing and developing data processing and data persistence software components for solutions which handle data at scale. Working in agile teams, Lead Data Engineers provide strong development leadership for team members and take responsibility for the quality of the codebase as well as the match to user needs. Your responsibilities will include: Taking responsibility for the development of whole components or subsystems within a team. Development incorporates design, code, test and defect resolution. Focusing on hands on design and development, using open source and commercial platforms. Defining and enforcing development best practice and coaching team members to ensure consistency. Working with project architects, taking responsibility for non functional needs of ETL/ELT data processing pipelines such as robustness and performance. Taking responsibility for standards and execution of unit and integration testing done within the team. Taking responsibility for software product due diligence and integration. Leading troubleshooting and tuning of activities. Working with Operations teams to ensure the application software is operationally ready. Working with Security Architects and accreditors to ensure compliance with relevant legal and security requirements Advising customers and managers and other team members of the estimated effort and technical implications of user stories and user journeys. Contributing to technical proposals as part of the sales process. Managing, coaching and developing a small number of staff, with a focus on managing employee performance and assisting in their career development. You'll also provide direction for your team as you solve problems together Minimum (essential) requirements: Experience of leading a team of engineers in the implementation of data intensive system components Experience of applying standards for design (patterns), development, (style guides) and operational readiness (automation, deployment) Proficient software development experience in one of Java, Scala, or Python Software development experience withdata-processing platforms from vendors including Informatica, Azure Databricks or any relevant ETL tools Expert in SQL or SQL extensions for analytical use case Expert understanding of distributed data stores and data processing frameworks Ability to simply and clearly communicate technical design both written and verbally Proficient in designing analytical and operational data models A keen interest in AI technologies Desirable: Comfortable with Data Warehouse methodsandtechniques Actively shares their thoughts and views on data practices AWS/Azure/GCP Certified in Data Services Expertise in continuous improvement and sharing input on data best practice Participation in development and/or technology communities Practical experience with AI technologies, tools, processes and delivery Who you are: Our vision is to enable outstanding people to create digital solutions that have a positive impact on people's lives. Our values aren't abstract; they are the behaviours we expect from each other every day, and underpin everything that we do. We expect everyone to display our values by being determined in how obstacles are overcome; honest when dealing with others; respectful of how you treat others; creative to find solutions to complex problems and cooperative by sharing information, knowledge and experience. These values, applied collectively, help to produce an outstanding Kainos person, team and culture. About us Kainos is a high growth IT services company providing digital technology solutions and agile software development to enterprise customers. Across our 30-year history, we have worked on transformational projects across government, NHS and a myriad of private sector clients.
26/07/2026
Full time
Lead Data Engineer As a Lead Data Engineer (Consultant) at Kainos you will be responsible for designing and developing data processing and data persistence software components for solutions which handle data at scale. Working in agile teams, Lead Data Engineers provide strong development leadership for team members and take responsibility for the quality of the codebase as well as the match to user needs. Your responsibilities will include: Taking responsibility for the development of whole components or subsystems within a team. Development incorporates design, code, test and defect resolution. Focusing on hands on design and development, using open source and commercial platforms. Defining and enforcing development best practice and coaching team members to ensure consistency. Working with project architects, taking responsibility for non functional needs of ETL/ELT data processing pipelines such as robustness and performance. Taking responsibility for standards and execution of unit and integration testing done within the team. Taking responsibility for software product due diligence and integration. Leading troubleshooting and tuning of activities. Working with Operations teams to ensure the application software is operationally ready. Working with Security Architects and accreditors to ensure compliance with relevant legal and security requirements Advising customers and managers and other team members of the estimated effort and technical implications of user stories and user journeys. Contributing to technical proposals as part of the sales process. Managing, coaching and developing a small number of staff, with a focus on managing employee performance and assisting in their career development. You'll also provide direction for your team as you solve problems together Minimum (essential) requirements: Experience of leading a team of engineers in the implementation of data intensive system components Experience of applying standards for design (patterns), development, (style guides) and operational readiness (automation, deployment) Proficient software development experience in one of Java, Scala, or Python Software development experience withdata-processing platforms from vendors including Informatica, Azure Databricks or any relevant ETL tools Expert in SQL or SQL extensions for analytical use case Expert understanding of distributed data stores and data processing frameworks Ability to simply and clearly communicate technical design both written and verbally Proficient in designing analytical and operational data models A keen interest in AI technologies Desirable: Comfortable with Data Warehouse methodsandtechniques Actively shares their thoughts and views on data practices AWS/Azure/GCP Certified in Data Services Expertise in continuous improvement and sharing input on data best practice Participation in development and/or technology communities Practical experience with AI technologies, tools, processes and delivery Who you are: Our vision is to enable outstanding people to create digital solutions that have a positive impact on people's lives. Our values aren't abstract; they are the behaviours we expect from each other every day, and underpin everything that we do. We expect everyone to display our values by being determined in how obstacles are overcome; honest when dealing with others; respectful of how you treat others; creative to find solutions to complex problems and cooperative by sharing information, knowledge and experience. These values, applied collectively, help to produce an outstanding Kainos person, team and culture. About us Kainos is a high growth IT services company providing digital technology solutions and agile software development to enterprise customers. Across our 30-year history, we have worked on transformational projects across government, NHS and a myriad of private sector clients.
Lead Data Engineer
慨正橡扯 Wales, Yorkshire
Description As a Lead Data Engineer or architect at Made Tech, you'll play a pivotal role in helping public sector organisations become truly data lead, by equipping them with robust data platforms. You'll join a data team on its mission to get data knowledge and skills out of silos and embedded into delivery teams. You'll help implement efficient data pipelines and storage. Key Responsibilities Define, shape and perfect data strategies in central and local government. Help public sector teams understand the value of their data, and make the most of it. Establish yourself as a trusted advisor in data driven approaches using public cloud services like AWS, Azure and GCP. Contribute to recruitment efforts and take on line management responsibilities. Skills, Knowledge & Expertise We are looking for candidates with a range of skills and experience. Please apply even if you don't meet all the criteria, as we can provide feedback. Proficiency in Git (including GitHub Actions) and ability to explain branch strategy benefits. Strong experience in IaC and guidance on deploying infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc.) with Apache Spark, Databricks or Hadoop. Good understanding of modern data system design architectures (Data Warehouse, Data Lakes, Data Meshes). Ability to create data pipelines in a cloud environment and integrate error handling. Understand how to create reusable libraries to encourage uniformity across multiple data pipelines. Document and present end to end diagrams to explain a data processing system on a cloud environment. Knowledge of diagramming notations such as C4, UML, etc. Enthusiasm for learning and self development. Experience with agile delivery lead projects and applying agile practices such as Scrum, XP, Kanban. Own the cloud infrastructure underpinning data systems through a DevOps approach. Design and implement efficient data transformation processes at scale, both in batch and streaming. Skill in delivering data platforms as a Data Engineer. Knowledge of SOLID, DRY and TDD principles and practical implementation. Commercial mindset to grow accounts organically with senior stakeholders. Improve resilience in projects by checking for software vulnerabilities and implementing appropriate testing strategies (unit, integration, data quality). Guide on implementing a robust DevOps approach in a data project. Discuss tools needed such as DataOps in areas such as orchestration, data integration and data analytics. Desirable Experience Working at a technology consultancy. Using Docker and virtual environments in development and CI/CD. Collaborating with senior stakeholders to gather requirements and maintain engagement. Using pair programming or mob programming techniques. Productionising machine learning models with data scientists. Working knowledge of statistics. Working with multidisciplinary digital and technology teams. Working within the public sector. Benefits 30 days of paid annual leave. Flexible parental leave options. Remote working available part time for all staff. Paid counselling and financial/legal advice. Pension plan with 7% employer match. Optional social and wellbeing calendar of events. Smart Tech scheme, Cycle to work scheme, and individual benefits allowance (Health care cash plan or pension plan). SC (Security Check) clearance is required for all successful candidates. Eligibility requires 5 years UK residency and 5 years employment history (or full time education). Ideally no more than 30 consecutive days spent outside the UK in the last five years. If at any point it is apparent that you may not be eligible for SC, we will not be able to progress your application.
25/07/2026
Full time
Description As a Lead Data Engineer or architect at Made Tech, you'll play a pivotal role in helping public sector organisations become truly data lead, by equipping them with robust data platforms. You'll join a data team on its mission to get data knowledge and skills out of silos and embedded into delivery teams. You'll help implement efficient data pipelines and storage. Key Responsibilities Define, shape and perfect data strategies in central and local government. Help public sector teams understand the value of their data, and make the most of it. Establish yourself as a trusted advisor in data driven approaches using public cloud services like AWS, Azure and GCP. Contribute to recruitment efforts and take on line management responsibilities. Skills, Knowledge & Expertise We are looking for candidates with a range of skills and experience. Please apply even if you don't meet all the criteria, as we can provide feedback. Proficiency in Git (including GitHub Actions) and ability to explain branch strategy benefits. Strong experience in IaC and guidance on deploying infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc.) with Apache Spark, Databricks or Hadoop. Good understanding of modern data system design architectures (Data Warehouse, Data Lakes, Data Meshes). Ability to create data pipelines in a cloud environment and integrate error handling. Understand how to create reusable libraries to encourage uniformity across multiple data pipelines. Document and present end to end diagrams to explain a data processing system on a cloud environment. Knowledge of diagramming notations such as C4, UML, etc. Enthusiasm for learning and self development. Experience with agile delivery lead projects and applying agile practices such as Scrum, XP, Kanban. Own the cloud infrastructure underpinning data systems through a DevOps approach. Design and implement efficient data transformation processes at scale, both in batch and streaming. Skill in delivering data platforms as a Data Engineer. Knowledge of SOLID, DRY and TDD principles and practical implementation. Commercial mindset to grow accounts organically with senior stakeholders. Improve resilience in projects by checking for software vulnerabilities and implementing appropriate testing strategies (unit, integration, data quality). Guide on implementing a robust DevOps approach in a data project. Discuss tools needed such as DataOps in areas such as orchestration, data integration and data analytics. Desirable Experience Working at a technology consultancy. Using Docker and virtual environments in development and CI/CD. Collaborating with senior stakeholders to gather requirements and maintain engagement. Using pair programming or mob programming techniques. Productionising machine learning models with data scientists. Working knowledge of statistics. Working with multidisciplinary digital and technology teams. Working within the public sector. Benefits 30 days of paid annual leave. Flexible parental leave options. Remote working available part time for all staff. Paid counselling and financial/legal advice. Pension plan with 7% employer match. Optional social and wellbeing calendar of events. Smart Tech scheme, Cycle to work scheme, and individual benefits allowance (Health care cash plan or pension plan). SC (Security Check) clearance is required for all successful candidates. Eligibility requires 5 years UK residency and 5 years employment history (or full time education). Ideally no more than 30 consecutive days spent outside the UK in the last five years. If at any point it is apparent that you may not be eligible for SC, we will not be able to progress your application.
Senior Data Platform Architect - Public Sector
慨正橡扯 Wales, Yorkshire
Description As a Lead Data Engineer or architect at Made Tech, you'll play a pivotal role in helping public sector organisations become truly data lead, by equipping them with robust data platforms. You'll join a data team on its mission to get data knowledge and skills out of silos and embedded into delivery teams. You'll help implement efficient data pipelines and storage. Key Responsibilities Define, shape and perfect data strategies in central and local government. Help public sector teams understand the value of their data, and make the most of it. Establish yourself as a trusted advisor in data driven approaches using public cloud services like AWS, Azure and GCP. Contribute to recruitment efforts and take on line management responsibilities. Skills, Knowledge & Expertise We are looking for candidates with a range of skills and experience. Please apply even if you don't meet all the criteria, as we can provide feedback. Proficiency in Git (including GitHub Actions) and ability to explain branch strategy benefits. Strong experience in IaC and guidance on deploying infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc.) with Apache Spark, Databricks or Hadoop. Good understanding of modern data system design architectures (Data Warehouse, Data Lakes, Data Meshes). Ability to create data pipelines in a cloud environment and integrate error handling. Understand how to create reusable libraries to encourage uniformity across multiple data pipelines. Document and present end to end diagrams to explain a data processing system on a cloud environment. Knowledge of diagramming notations such as C4, UML, etc. Enthusiasm for learning and self development. Experience with agile delivery lead projects and applying agile practices such as Scrum, XP, Kanban. Own the cloud infrastructure underpinning data systems through a DevOps approach. Design and implement efficient data transformation processes at scale, both in batch and streaming. Skill in delivering data platforms as a Data Engineer. Knowledge of SOLID, DRY and TDD principles and practical implementation. Commercial mindset to grow accounts organically with senior stakeholders. Improve resilience in projects by checking for software vulnerabilities and implementing appropriate testing strategies (unit, integration, data quality). Guide on implementing a robust DevOps approach in a data project. Discuss tools needed such as DataOps in areas such as orchestration, data integration and data analytics. Desirable Experience Working at a technology consultancy. Using Docker and virtual environments in development and CI/CD. Collaborating with senior stakeholders to gather requirements and maintain engagement. Using pair programming or mob programming techniques. Productionising machine learning models with data scientists. Working knowledge of statistics. Working with multidisciplinary digital and technology teams. Working within the public sector. Benefits 30 days of paid annual leave. Flexible parental leave options. Remote working available part time for all staff. Paid counselling and financial/legal advice. Pension plan with 7% employer match. Optional social and wellbeing calendar of events. Smart Tech scheme, Cycle to work scheme, and individual benefits allowance (Health care cash plan or pension plan). SC (Security Check) clearance is required for all successful candidates. Eligibility requires 5 years UK residency and 5 years employment history (or full time education). Ideally no more than 30 consecutive days spent outside the UK in the last five years. If at any point it is apparent that you may not be eligible for SC, we will not be able to progress your application.
23/07/2026
Full time
Description As a Lead Data Engineer or architect at Made Tech, you'll play a pivotal role in helping public sector organisations become truly data lead, by equipping them with robust data platforms. You'll join a data team on its mission to get data knowledge and skills out of silos and embedded into delivery teams. You'll help implement efficient data pipelines and storage. Key Responsibilities Define, shape and perfect data strategies in central and local government. Help public sector teams understand the value of their data, and make the most of it. Establish yourself as a trusted advisor in data driven approaches using public cloud services like AWS, Azure and GCP. Contribute to recruitment efforts and take on line management responsibilities. Skills, Knowledge & Expertise We are looking for candidates with a range of skills and experience. Please apply even if you don't meet all the criteria, as we can provide feedback. Proficiency in Git (including GitHub Actions) and ability to explain branch strategy benefits. Strong experience in IaC and guidance on deploying infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc.) with Apache Spark, Databricks or Hadoop. Good understanding of modern data system design architectures (Data Warehouse, Data Lakes, Data Meshes). Ability to create data pipelines in a cloud environment and integrate error handling. Understand how to create reusable libraries to encourage uniformity across multiple data pipelines. Document and present end to end diagrams to explain a data processing system on a cloud environment. Knowledge of diagramming notations such as C4, UML, etc. Enthusiasm for learning and self development. Experience with agile delivery lead projects and applying agile practices such as Scrum, XP, Kanban. Own the cloud infrastructure underpinning data systems through a DevOps approach. Design and implement efficient data transformation processes at scale, both in batch and streaming. Skill in delivering data platforms as a Data Engineer. Knowledge of SOLID, DRY and TDD principles and practical implementation. Commercial mindset to grow accounts organically with senior stakeholders. Improve resilience in projects by checking for software vulnerabilities and implementing appropriate testing strategies (unit, integration, data quality). Guide on implementing a robust DevOps approach in a data project. Discuss tools needed such as DataOps in areas such as orchestration, data integration and data analytics. Desirable Experience Working at a technology consultancy. Using Docker and virtual environments in development and CI/CD. Collaborating with senior stakeholders to gather requirements and maintain engagement. Using pair programming or mob programming techniques. Productionising machine learning models with data scientists. Working knowledge of statistics. Working with multidisciplinary digital and technology teams. Working within the public sector. Benefits 30 days of paid annual leave. Flexible parental leave options. Remote working available part time for all staff. Paid counselling and financial/legal advice. Pension plan with 7% employer match. Optional social and wellbeing calendar of events. Smart Tech scheme, Cycle to work scheme, and individual benefits allowance (Health care cash plan or pension plan). SC (Security Check) clearance is required for all successful candidates. Eligibility requires 5 years UK residency and 5 years employment history (or full time education). Ideally no more than 30 consecutive days spent outside the UK in the last five years. If at any point it is apparent that you may not be eligible for SC, we will not be able to progress your application.
Asset & Wealth Management - Software Engineer - Vice President - Birmingham Birmingham United ...
Goldman Sachs Bank AG Birmingham, Staffordshire
Asset & Wealth Management - Software Engineer - Vice President - Birmingham location_on Birmingham, West Midlands, England, United Kingdom What We Do At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Who We Look For Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. HOW YOU WILL FULFILL YOUR POTENTIAL We are looking for a skilled and motivated software engineer to design, build, and maintain robust, scalable, and efficient systems and infrastructure for our billing platform. Propose, design, and implement software solutions to enhance our services and enable new business functions. Perform hands on development; participate in architecture and design discussions and design reviews. Work closely with other engineering teams across the firm to develop data feeds, APIs, and processing pipelines. Work closely with the global user group to support and enhance the applications to meet new requirements. Understand the business workflows to assist in analysing and converting business requirements into technical specifications. Collaborate with business stakeholders to gather requirements, understand data needs, and transform them into actionable insights that drive business decisions. Develop and maintain scalable and efficient dashboards, reports, and data visualisations that present complex data in a user-friendly manner. Provide technical support and troubleshooting for data pipelines and transformations, resolving issues and ensuring system availability. Stay up to date with emerging technologies, industry trends, and business intelligence and data analytics best practices. SKILLS AND EXPERIENCE WE ARE LOOKING FOR Bachelor's or Master's degree in computer science, Information Systems, or a related field. 7+ years of hands on software development experience. Solid understanding of object oriented skills and frameworks. Experience with producing scalable software designs. Experience in Spring, REST services, JMS, Hibernate/JPA, JSON is required. Experience working with databases such as Sybase or MongoDB. Experience with designing/delivering messaging based solutions (e.g. Kafka). Fast learner who can pick up existing applications (functionally & technically). Excellent problem solving abilities and attention to detail. Strong communication and collaboration skills to work effectively with cross functional teams. Ability to work in a fast paced environment, manage multiple priorities, and meet project deadlines. Strong sense of ownership, focus on quality, responsiveness, efficiency, and innovation. Strong communication skills (in person, phone, and email). Prior experience with people management. Prior experience leading & delivering projects independently and working in a global project team setup. Ability to work on multiple programs. Interest in finance. Preferred Qualifications Experience in the financial industry or a related field. Familiarity with cloud based data warehouses (e.g., Snowflake, GBQ). Familiarity with cloud based data pipeline services (e.g. AWS Glue) or distributed processing frameworks like Apache Spark. Equal Opportunity Employment Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, colour, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.
22/07/2026
Full time
Asset & Wealth Management - Software Engineer - Vice President - Birmingham location_on Birmingham, West Midlands, England, United Kingdom What We Do At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Who We Look For Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. HOW YOU WILL FULFILL YOUR POTENTIAL We are looking for a skilled and motivated software engineer to design, build, and maintain robust, scalable, and efficient systems and infrastructure for our billing platform. Propose, design, and implement software solutions to enhance our services and enable new business functions. Perform hands on development; participate in architecture and design discussions and design reviews. Work closely with other engineering teams across the firm to develop data feeds, APIs, and processing pipelines. Work closely with the global user group to support and enhance the applications to meet new requirements. Understand the business workflows to assist in analysing and converting business requirements into technical specifications. Collaborate with business stakeholders to gather requirements, understand data needs, and transform them into actionable insights that drive business decisions. Develop and maintain scalable and efficient dashboards, reports, and data visualisations that present complex data in a user-friendly manner. Provide technical support and troubleshooting for data pipelines and transformations, resolving issues and ensuring system availability. Stay up to date with emerging technologies, industry trends, and business intelligence and data analytics best practices. SKILLS AND EXPERIENCE WE ARE LOOKING FOR Bachelor's or Master's degree in computer science, Information Systems, or a related field. 7+ years of hands on software development experience. Solid understanding of object oriented skills and frameworks. Experience with producing scalable software designs. Experience in Spring, REST services, JMS, Hibernate/JPA, JSON is required. Experience working with databases such as Sybase or MongoDB. Experience with designing/delivering messaging based solutions (e.g. Kafka). Fast learner who can pick up existing applications (functionally & technically). Excellent problem solving abilities and attention to detail. Strong communication and collaboration skills to work effectively with cross functional teams. Ability to work in a fast paced environment, manage multiple priorities, and meet project deadlines. Strong sense of ownership, focus on quality, responsiveness, efficiency, and innovation. Strong communication skills (in person, phone, and email). Prior experience with people management. Prior experience leading & delivering projects independently and working in a global project team setup. Ability to work on multiple programs. Interest in finance. Preferred Qualifications Experience in the financial industry or a related field. Familiarity with cloud based data warehouses (e.g., Snowflake, GBQ). Familiarity with cloud based data pipeline services (e.g. AWS Glue) or distributed processing frameworks like Apache Spark. Equal Opportunity Employment Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, colour, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.
Sr./Staff Software Engineer (Data Team)
Thehumanoid
Here at Humanoid, we believe in a future where robots amplify human potential. That's why we've set out on a mission to build the world's most capable, commercially-scalable, and safe humanoid robots. We're bringing that mission to life with HMND 01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we're growing the team to take it even further. About the Role We're hiring a Sr./Staff Software Engineer to join our Data Engineering team based in London. As the Data Engineering Lead, we strive to create the world's leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. We're looking for experienced Engineers to help build our data platform from the ground up. You'll have the opportunity to define its architecture, make key decisions, and shape how we handle and process petabyte-scale data in the near future. What You'll Do Build the Capability Factory - an internal platform designed for everyone from software engineers to non-technical operators, enabling the entire organization to teach HMND robots new skills at scale, from raw data all the way to deployed capabilities. Curate, preprocess, and manage large-scale datasets for humanoid robot training - a corpus of robot telemetry growing toward petabyte scale. Design and operate highly scalable data pipelines and the compute infrastructure that powers them, ensuring reliability and throughput as data volume and team demands grow. Ensure the quality, accuracy, and consistency of training data across multiple concurrent projects and robot platforms. Collaborate with machine learning teams to shape the Capability Factory, streamline MLOps, and build the evaluation workflows that close the loop between training runs and real-world robot performance. Build data warehouse solutions and BI dashboards that give stakeholders across the organization clear visibility into data collection, model progress, and operational health. Establish and uphold best practices for data management - versioning, access control, security, and compliance. What We're Looking For 5+ years of software engineering experience, with a track record of owning and delivering complex systems end-to-end, not just contributing to them. Strong backend engineering - designing and operating production-grade APIs and services: clean data modeling, reliable error handling, performance under load. Data engineering at PB+ scale - building and maintaining pipelines that move, transform, and validate large volumes of data reliably; understanding of batch and streaming processing patterns, data quality, and schema evolution. Workflow orchestration at scale - designing and operating multi-step automated pipelines with retries, observability, and graceful failure handling. Distributed systems fundamentals - you understand how things break at scale: eventual consistency, idempotency, backpressure, job scheduling, and failure modes in distributed compute and storage. Cloud infrastructure fluency - you have shipped and operated real systems on a major cloud provider; you think about cost, reliability, and security as first-class concerns, not afterthoughts. Container orchestration - deploying and operating workloads on Kubernetes at a level where you can debug scheduling issues, design resource allocation, and reason about cluster health without guidance. Full-stack range - comfortable building both the backend and the frontend of an internal product; you can own a feature from database schema to UI without handing off. Production ownership mindset - you've been on-call, triaged incidents under pressure, and improved systems after postmortems. You take reliability personally. Nice to Have ML infrastructure or MLOps experience - understanding of how training jobs run, how model artifacts are managed, and what makes an evaluation pipeline trustworthy; you've worked alongside or directly supported ML researchers. Distributed compute frameworks - experience with large-scale parallel data processing, whether for data transformation, model training, or evaluation. Domain knowledge in robotics or embodied AI - familiarity with robot data formats, sensor telemetry, or the sim-to-real evaluation loop is a significant head start. BI and data warehouse experience - building data models and dashboards that translate raw operational data into decisions for non-technical stakeholders. Dual-cloud or multi-cloud storage - experience reasoning about cost, latency, and consistency tradeoffs across storage providers. Frontend product sense - beyond just shipping features, you have opinions about what makes an internal tool actually usable by non-engineers. What We Offer Competitive equity: stock options with meaningful upside as we scale. 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas-New Year shutdown). Private healthcare, including virtual and in-person care. Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. Free daily breakfast, catered lunch, and snacks in-office. Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
18/07/2026
Full time
Here at Humanoid, we believe in a future where robots amplify human potential. That's why we've set out on a mission to build the world's most capable, commercially-scalable, and safe humanoid robots. We're bringing that mission to life with HMND 01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we're growing the team to take it even further. About the Role We're hiring a Sr./Staff Software Engineer to join our Data Engineering team based in London. As the Data Engineering Lead, we strive to create the world's leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. We're looking for experienced Engineers to help build our data platform from the ground up. You'll have the opportunity to define its architecture, make key decisions, and shape how we handle and process petabyte-scale data in the near future. What You'll Do Build the Capability Factory - an internal platform designed for everyone from software engineers to non-technical operators, enabling the entire organization to teach HMND robots new skills at scale, from raw data all the way to deployed capabilities. Curate, preprocess, and manage large-scale datasets for humanoid robot training - a corpus of robot telemetry growing toward petabyte scale. Design and operate highly scalable data pipelines and the compute infrastructure that powers them, ensuring reliability and throughput as data volume and team demands grow. Ensure the quality, accuracy, and consistency of training data across multiple concurrent projects and robot platforms. Collaborate with machine learning teams to shape the Capability Factory, streamline MLOps, and build the evaluation workflows that close the loop between training runs and real-world robot performance. Build data warehouse solutions and BI dashboards that give stakeholders across the organization clear visibility into data collection, model progress, and operational health. Establish and uphold best practices for data management - versioning, access control, security, and compliance. What We're Looking For 5+ years of software engineering experience, with a track record of owning and delivering complex systems end-to-end, not just contributing to them. Strong backend engineering - designing and operating production-grade APIs and services: clean data modeling, reliable error handling, performance under load. Data engineering at PB+ scale - building and maintaining pipelines that move, transform, and validate large volumes of data reliably; understanding of batch and streaming processing patterns, data quality, and schema evolution. Workflow orchestration at scale - designing and operating multi-step automated pipelines with retries, observability, and graceful failure handling. Distributed systems fundamentals - you understand how things break at scale: eventual consistency, idempotency, backpressure, job scheduling, and failure modes in distributed compute and storage. Cloud infrastructure fluency - you have shipped and operated real systems on a major cloud provider; you think about cost, reliability, and security as first-class concerns, not afterthoughts. Container orchestration - deploying and operating workloads on Kubernetes at a level where you can debug scheduling issues, design resource allocation, and reason about cluster health without guidance. Full-stack range - comfortable building both the backend and the frontend of an internal product; you can own a feature from database schema to UI without handing off. Production ownership mindset - you've been on-call, triaged incidents under pressure, and improved systems after postmortems. You take reliability personally. Nice to Have ML infrastructure or MLOps experience - understanding of how training jobs run, how model artifacts are managed, and what makes an evaluation pipeline trustworthy; you've worked alongside or directly supported ML researchers. Distributed compute frameworks - experience with large-scale parallel data processing, whether for data transformation, model training, or evaluation. Domain knowledge in robotics or embodied AI - familiarity with robot data formats, sensor telemetry, or the sim-to-real evaluation loop is a significant head start. BI and data warehouse experience - building data models and dashboards that translate raw operational data into decisions for non-technical stakeholders. Dual-cloud or multi-cloud storage - experience reasoning about cost, latency, and consistency tradeoffs across storage providers. Frontend product sense - beyond just shipping features, you have opinions about what makes an internal tool actually usable by non-engineers. What We Offer Competitive equity: stock options with meaningful upside as we scale. 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas-New Year shutdown). Private healthcare, including virtual and in-person care. Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. Free daily breakfast, catered lunch, and snacks in-office. Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Staff Platform Engineer - UK
P2P
We're looking for a curious, rigorous, problem-hungry platform engineer (who codes!) to carry the ball as we bring Ashby to the big leagues. Ashby builds software that lets talent teams build an efficient, delightful, respectful hiring process. Similarly, you're an engineer who wants to build a "paved road" that excellent engineering teams can safely take to the moon and back. We have notable customers like Notion, Linear, Shopify, and Snowflake. Our growth and retention metrics are best-in-class among our peers: we have tens of millions in ARR, growing >100% year over year, over 2500 customers, very low churn, and many years of runway. We'll share more details once we meet, but you now probably have a good idea as to why we're hiring for this role . We've listed this role twice: as a Platform Engineer and Site Reliability Engineer - our team does both, and we are open to candidates who lean towards one or the other. About The Role And How We Work Hi I'm Colin, Head of EMEA Engineering. I've spent a number of years leading engineering teams in startups, and that has always included being close to infrastructure teams - no matter what name they've worn (SRE, infrastructure, platform, etc). I've got my hands dirty building the initial infrastructure for startups and know the value a talented infrastructure engineer brings. The rigour, the discipline, the peace and quiet when everything just hums along. Our infrastructure is in a good place for now. Nothing is static. Ashby continues to grow rapidly, putting strain on our existing infrastructure. We're always looking to give our customers more powerful hiring software, and building new product features often requires new pieces of infrastructure. Having herded plenty of snowflake servers in the past, I've learned there's a better way. I (and Ashby) place a lot of value on infrastructure as code. As a Platform Engineer at Ashby, you'll get to dive into scaling problems, add new capabilities to our platform, and think about how our entire team interacts with infrastructure. All our own engineers own their projects end to end and ship with minimal oversight. We don't put roadblocks to ensure security when common sense will do and we don't build processes like change management boards around the lowest common denominator. But with great power comes great responsibility: we handle personal and confidential data about some of the biggest decisions we ever make at work. As we grow, more and bigger customers rely on us to be reliable and secure and how we operate internally will need to evolve. We're at an inflection point where our ability to scale and deliver a seamless experience has a make or break impact - we have some of the fastest growing companies using our platform every day to hire hundreds of people per month. We need someone like you to make good decisions, debug thorny issues, and build us a future proof platform that can withstand this scale. Our small but mighty infrastructure team has set up a secure and simple environment (we don't believe in spinning up a new service unless necessary!) for our growing product team to build in. That's where you come in: you, too, will own projects end to end and have an impact on core parts of the Ashby developer and user experience. For instance, you could work on: Optimize our homegrown ultra dynamic recruiting DSL to SQL compiler, and create tools to help developers do so Create automated guardrails for the security and privacy of our customer data Help our developers ship features fast through canary deploys, gradual rollouts and feature flags, while keeping complexity manageable and reducing downtime Work with the business and the engineering team to define SLOs and implement the corresponding SLIs. Ensure all communication with external services supports retries and circuit breakers. Implement the infrastructure to support an event driven architecture and data warehouse. We're looking for someone who can build systems that an engineer would like to work with: mature and boring but open minded and approachable. We have to balance reliability with flexibility. Software and its availability are now mission critical to almost every working professional. To be an SRE in today's world, you have to be extremely comfortable evaluating risk, those you take and those others take. You Should Apply If You never stop. You get weirdly obsessed about a problem that doesn't yet make sense, turn it every which way in your head until the explanation dawns. You'll search every rock, inventory every clue, hunt every mismatch. We do that, too - together we'll be armed with state of the art monitoring tools and an impressive amount of data, and join you in the adventure. You don't take shortcuts. You're speaking up for the future user, the edge case, the doomsday design. You know product engineers want to build it with you, and see them as allies, where you give them the power and knowledge to access greater things. You're someone who cares about what you do and the team you do it with, and want to work with others who do as well. You'll be on interview panels choosing your next colleagues, and you'll take that seriously. You only want to work with people who make you better, and want to make you better. You've built infrastructure at a slightly later stage than Ashby is at - you know how to deal with millions of data points, have seen great (or not great) infrastructure make or break customer experience, and have automated everything from provisioning to monitoring and release process. You're a Swiss army knife (all nationalities welcome ; . You'll get every hard problem the company faces. You'll get to do infrastructure updates, security enforcements, database optimization, Kubernetes debugging, and digging through Typescript traces figuring out what doesn't work. You probably don't feel like an expert at at least some of that and that appeals to you. Role All that makes for a pretty specific kind of role, and the job isn't to everyone's tastes! You should not apply if: You don't want to make your own decisions on what is the best paved road to build for Ashby, and expect a lead or manager to make the final call on what that is. Our leads (and managers) give ample commentary and feedback on technical decisions and how they're made, but you ship what you want to build and are accountable for it. You hate SQL. We have a lot of features built around making the best out of data, and our platform engineers also sometimes dive into a gnarly report or advise engineers on a more performant data model to use. You don't want to code. Our SREs are some of our best software engineers and they are just as responsible for the application as the other engineering teams - albeit at a platform level. Reviewing code and submitting code changes will be part of your day to day. Your primary mode of communicating best practices to engineers is live meetings. We're a very async culture and written communication (and code) is how changes get made. As an Ashby SRE, you will need to share new tooling and best practices with engineers faster than your next meeting opportunity will take you. You've never delivered a project, on your own, without someone prodding you for updates. We have no project or delivery managers to fill your calendar with busy work, but the flip side is you have to do your project management, seek the help you need to get unstuck and cut scope when it's worthwhile. Technology Stack TypeScript (frontend & backend), Node.js, React, Apollo GraphQL, Postgres, Redis. We use Datadog and Sentry on 100% cloud based (AWS) infra. We take developer experience and reliability seriously: all engineers are on call in a follow the sun model, and everyone contributes to developer tooling. Interview Process We'll dive into past projects and simulate working together via pair programming, writing product and tech specs collaboratively, and talking through decisions. There are no leetcode or whiteboard exercises. Introduction call with Hiring Manager (15 to 30m, live) A technical screen where we pair in our actual codebase (1h, live) Three non coding interviews that focus on technical design, debugging incidents, and infrastructure (3h 15m, live can be split across multiple days) Depending on our leadership team's bandwidth, we may start with an additional 30m screen with a recruiter. Benefits Competitive salary and equity. 10 year exercise window for stock options. You shouldn't feel pressure to purchase stock options if you leave Ashby - do it when you feel financially comfortable. Unlimited PTO, and we will encourage you to take it. A minimum of 12 weeks of fully paid parental leave, covered by Ashby. For folks outside the US, it may be longer to be in line with regional requirements. Generous equipment, software, and office furniture budget. Get what you need to be happy and productive! $100/month education budget with more expensive items (like conferences) covered with manager approval. If you're in the US, we offer top tier health insurance for you and your dependents, with 100% of premiums covered by Ashby. In other countries, we provide high quality supplemental health insurance for you and your dependents, also fully covered by us. Ashby's success hinges on hiring great people and creating an environment where we can be happy, feel challenged, and do our best work. We're being deliberate about building that environment from the ground up. We hope that excites you enough to apply. . click apply for full job details
18/07/2026
Full time
We're looking for a curious, rigorous, problem-hungry platform engineer (who codes!) to carry the ball as we bring Ashby to the big leagues. Ashby builds software that lets talent teams build an efficient, delightful, respectful hiring process. Similarly, you're an engineer who wants to build a "paved road" that excellent engineering teams can safely take to the moon and back. We have notable customers like Notion, Linear, Shopify, and Snowflake. Our growth and retention metrics are best-in-class among our peers: we have tens of millions in ARR, growing >100% year over year, over 2500 customers, very low churn, and many years of runway. We'll share more details once we meet, but you now probably have a good idea as to why we're hiring for this role . We've listed this role twice: as a Platform Engineer and Site Reliability Engineer - our team does both, and we are open to candidates who lean towards one or the other. About The Role And How We Work Hi I'm Colin, Head of EMEA Engineering. I've spent a number of years leading engineering teams in startups, and that has always included being close to infrastructure teams - no matter what name they've worn (SRE, infrastructure, platform, etc). I've got my hands dirty building the initial infrastructure for startups and know the value a talented infrastructure engineer brings. The rigour, the discipline, the peace and quiet when everything just hums along. Our infrastructure is in a good place for now. Nothing is static. Ashby continues to grow rapidly, putting strain on our existing infrastructure. We're always looking to give our customers more powerful hiring software, and building new product features often requires new pieces of infrastructure. Having herded plenty of snowflake servers in the past, I've learned there's a better way. I (and Ashby) place a lot of value on infrastructure as code. As a Platform Engineer at Ashby, you'll get to dive into scaling problems, add new capabilities to our platform, and think about how our entire team interacts with infrastructure. All our own engineers own their projects end to end and ship with minimal oversight. We don't put roadblocks to ensure security when common sense will do and we don't build processes like change management boards around the lowest common denominator. But with great power comes great responsibility: we handle personal and confidential data about some of the biggest decisions we ever make at work. As we grow, more and bigger customers rely on us to be reliable and secure and how we operate internally will need to evolve. We're at an inflection point where our ability to scale and deliver a seamless experience has a make or break impact - we have some of the fastest growing companies using our platform every day to hire hundreds of people per month. We need someone like you to make good decisions, debug thorny issues, and build us a future proof platform that can withstand this scale. Our small but mighty infrastructure team has set up a secure and simple environment (we don't believe in spinning up a new service unless necessary!) for our growing product team to build in. That's where you come in: you, too, will own projects end to end and have an impact on core parts of the Ashby developer and user experience. For instance, you could work on: Optimize our homegrown ultra dynamic recruiting DSL to SQL compiler, and create tools to help developers do so Create automated guardrails for the security and privacy of our customer data Help our developers ship features fast through canary deploys, gradual rollouts and feature flags, while keeping complexity manageable and reducing downtime Work with the business and the engineering team to define SLOs and implement the corresponding SLIs. Ensure all communication with external services supports retries and circuit breakers. Implement the infrastructure to support an event driven architecture and data warehouse. We're looking for someone who can build systems that an engineer would like to work with: mature and boring but open minded and approachable. We have to balance reliability with flexibility. Software and its availability are now mission critical to almost every working professional. To be an SRE in today's world, you have to be extremely comfortable evaluating risk, those you take and those others take. You Should Apply If You never stop. You get weirdly obsessed about a problem that doesn't yet make sense, turn it every which way in your head until the explanation dawns. You'll search every rock, inventory every clue, hunt every mismatch. We do that, too - together we'll be armed with state of the art monitoring tools and an impressive amount of data, and join you in the adventure. You don't take shortcuts. You're speaking up for the future user, the edge case, the doomsday design. You know product engineers want to build it with you, and see them as allies, where you give them the power and knowledge to access greater things. You're someone who cares about what you do and the team you do it with, and want to work with others who do as well. You'll be on interview panels choosing your next colleagues, and you'll take that seriously. You only want to work with people who make you better, and want to make you better. You've built infrastructure at a slightly later stage than Ashby is at - you know how to deal with millions of data points, have seen great (or not great) infrastructure make or break customer experience, and have automated everything from provisioning to monitoring and release process. You're a Swiss army knife (all nationalities welcome ; . You'll get every hard problem the company faces. You'll get to do infrastructure updates, security enforcements, database optimization, Kubernetes debugging, and digging through Typescript traces figuring out what doesn't work. You probably don't feel like an expert at at least some of that and that appeals to you. Role All that makes for a pretty specific kind of role, and the job isn't to everyone's tastes! You should not apply if: You don't want to make your own decisions on what is the best paved road to build for Ashby, and expect a lead or manager to make the final call on what that is. Our leads (and managers) give ample commentary and feedback on technical decisions and how they're made, but you ship what you want to build and are accountable for it. You hate SQL. We have a lot of features built around making the best out of data, and our platform engineers also sometimes dive into a gnarly report or advise engineers on a more performant data model to use. You don't want to code. Our SREs are some of our best software engineers and they are just as responsible for the application as the other engineering teams - albeit at a platform level. Reviewing code and submitting code changes will be part of your day to day. Your primary mode of communicating best practices to engineers is live meetings. We're a very async culture and written communication (and code) is how changes get made. As an Ashby SRE, you will need to share new tooling and best practices with engineers faster than your next meeting opportunity will take you. You've never delivered a project, on your own, without someone prodding you for updates. We have no project or delivery managers to fill your calendar with busy work, but the flip side is you have to do your project management, seek the help you need to get unstuck and cut scope when it's worthwhile. Technology Stack TypeScript (frontend & backend), Node.js, React, Apollo GraphQL, Postgres, Redis. We use Datadog and Sentry on 100% cloud based (AWS) infra. We take developer experience and reliability seriously: all engineers are on call in a follow the sun model, and everyone contributes to developer tooling. Interview Process We'll dive into past projects and simulate working together via pair programming, writing product and tech specs collaboratively, and talking through decisions. There are no leetcode or whiteboard exercises. Introduction call with Hiring Manager (15 to 30m, live) A technical screen where we pair in our actual codebase (1h, live) Three non coding interviews that focus on technical design, debugging incidents, and infrastructure (3h 15m, live can be split across multiple days) Depending on our leadership team's bandwidth, we may start with an additional 30m screen with a recruiter. Benefits Competitive salary and equity. 10 year exercise window for stock options. You shouldn't feel pressure to purchase stock options if you leave Ashby - do it when you feel financially comfortable. Unlimited PTO, and we will encourage you to take it. A minimum of 12 weeks of fully paid parental leave, covered by Ashby. For folks outside the US, it may be longer to be in line with regional requirements. Generous equipment, software, and office furniture budget. Get what you need to be happy and productive! $100/month education budget with more expensive items (like conferences) covered with manager approval. If you're in the US, we offer top tier health insurance for you and your dependents, with 100% of premiums covered by Ashby. In other countries, we provide high quality supplemental health insurance for you and your dependents, also fully covered by us. Ashby's success hinges on hiring great people and creating an environment where we can be happy, feel challenged, and do our best work. We're being deliberate about building that environment from the ground up. We hope that excites you enough to apply. . click apply for full job details
Lead Data Engineer
Limelight Health Wales, Yorkshire
Description As a Lead Data Engineer or architect at Made Tech, you'll play a pivotal role in helping public sector organisations become truly data lead, equipping them with robust data platforms and joining a data team on its mission to eliminate silos and embed data knowledge into delivery teams. You will also help implement efficient data pipelines and storage. Key Responsibilities Define, shape and perfect data strategies in central and local government. Help public sector teams understand the value of their data, and make the most of it. Establish yourself as a trusted advisor in data driven approaches using public cloud services like AWS, Azure and GCP. Contribute to recruitment efforts and take on line management responsibilities. Skills, Knowledge & Expertise Proficiency in Git (including GitHub Actions) and ability to explain the benefits of different branch strategies. Strong experience in IaC and ability to guide how to deploy infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc.) with Apache Spark, Databricks or Hadoop. Good understanding of possible architectures in modern data system design (Data Warehouse, Data Lakes, Data Mesh). Ability to create data pipelines on a cloud environment and integrate error handling within these pipelines. Understanding of how to create reusable libraries to encourage uniformity across multiple data pipelines. Ability to document and present end to end diagrams to explain a data processing system on a cloud environment. Some knowledge of diagram representation such as C4, UML, etc. Enthusiasm for learning and self development. Experience working on agile delivery lead projects and application of agile practices such as Scrum, XP and Kanban. Ownership of cloud infrastructure underpinning data systems through a DevOps approach. Design and implement efficient data transformation processes at scale, both in batch and streaming use cases. Skilled Data Engineer who has delivered data platforms. Knowledge of SOLID, DRY and TDD principles and how to implement them into a project. Commercial mindset for growing accounts organically with senior stakeholders. Experience enhancing project resilience by checking for software vulnerabilities and implementing appropriate testing strategies (unit, integration, data quality). Skill at guiding robust DevOps approaches in data projects. Ability to discuss tools needed for DataOps, including orchestration, data integration and analytics. Desirable Experience Experience working at a technology consultancy. Experience with Docker and virtual environments as part of the development and CI/CD process. Experience working with senior stakeholders to gather requirements and keep them engaged. Experience working with a team of engineers using techniques such as pair programming or mob programming. Experience working with data scientists to productionise advanced deliverables such as machine learning models. Working knowledge of statistics. Experience with multidisciplinary digital and technology teams. Experience within the public sector. Experience with data scientists to productionise advanced deliverables, such as machine learning models. Job Benefits Life at Made Tech We're committed to building a happy, inclusive and diverse workforce. Our blog covers mental health, communities of practice and neurodiversity, as well as client work and best practice. We use Slack to foster community and have special interest groups for music, food and pets, 10+ dedicated Slack channels for specific communities, allies, identities and learning spaces called COPs. If you'd like to speak to someone from one of these groups, let a member of the Made Tech talent team know. Benefits 30 days paid annual leave. Flexible parental leave options. Part time remote working available for all staff. Paid counselling as well as financial and legal advice. 7% employer matched pension. An increasing number of our customers are specifying a minimum of SC (security check) clearance for projects. Successful candidates must have eligibility: 5 years UK residency and 5 years employment history (or full time education), and no more than 30 consecutive days spent outside the UK in the last five years. If at any point it is apparent that you may not be eligible for SC, we will not progress your application and will contact you to let you know why. About Made Tech Made Tech is on a mission to use technology to improve society for everyone. We help organisations transform, deliver and manage world class digital products and services. Recent achievements include the design and build of a Homes for Ukraine service delivered in 2 weeks, the digitalisation of NHS services, and support for local authorities in housing repairs. We are also advancing energy outcomes by improving network performance through real time asset monitoring. We were recently a finalist for the Raising the Bar for Workplace Transparency Award.
17/07/2026
Full time
Description As a Lead Data Engineer or architect at Made Tech, you'll play a pivotal role in helping public sector organisations become truly data lead, equipping them with robust data platforms and joining a data team on its mission to eliminate silos and embed data knowledge into delivery teams. You will also help implement efficient data pipelines and storage. Key Responsibilities Define, shape and perfect data strategies in central and local government. Help public sector teams understand the value of their data, and make the most of it. Establish yourself as a trusted advisor in data driven approaches using public cloud services like AWS, Azure and GCP. Contribute to recruitment efforts and take on line management responsibilities. Skills, Knowledge & Expertise Proficiency in Git (including GitHub Actions) and ability to explain the benefits of different branch strategies. Strong experience in IaC and ability to guide how to deploy infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc.) with Apache Spark, Databricks or Hadoop. Good understanding of possible architectures in modern data system design (Data Warehouse, Data Lakes, Data Mesh). Ability to create data pipelines on a cloud environment and integrate error handling within these pipelines. Understanding of how to create reusable libraries to encourage uniformity across multiple data pipelines. Ability to document and present end to end diagrams to explain a data processing system on a cloud environment. Some knowledge of diagram representation such as C4, UML, etc. Enthusiasm for learning and self development. Experience working on agile delivery lead projects and application of agile practices such as Scrum, XP and Kanban. Ownership of cloud infrastructure underpinning data systems through a DevOps approach. Design and implement efficient data transformation processes at scale, both in batch and streaming use cases. Skilled Data Engineer who has delivered data platforms. Knowledge of SOLID, DRY and TDD principles and how to implement them into a project. Commercial mindset for growing accounts organically with senior stakeholders. Experience enhancing project resilience by checking for software vulnerabilities and implementing appropriate testing strategies (unit, integration, data quality). Skill at guiding robust DevOps approaches in data projects. Ability to discuss tools needed for DataOps, including orchestration, data integration and analytics. Desirable Experience Experience working at a technology consultancy. Experience with Docker and virtual environments as part of the development and CI/CD process. Experience working with senior stakeholders to gather requirements and keep them engaged. Experience working with a team of engineers using techniques such as pair programming or mob programming. Experience working with data scientists to productionise advanced deliverables such as machine learning models. Working knowledge of statistics. Experience with multidisciplinary digital and technology teams. Experience within the public sector. Experience with data scientists to productionise advanced deliverables, such as machine learning models. Job Benefits Life at Made Tech We're committed to building a happy, inclusive and diverse workforce. Our blog covers mental health, communities of practice and neurodiversity, as well as client work and best practice. We use Slack to foster community and have special interest groups for music, food and pets, 10+ dedicated Slack channels for specific communities, allies, identities and learning spaces called COPs. If you'd like to speak to someone from one of these groups, let a member of the Made Tech talent team know. Benefits 30 days paid annual leave. Flexible parental leave options. Part time remote working available for all staff. Paid counselling as well as financial and legal advice. 7% employer matched pension. An increasing number of our customers are specifying a minimum of SC (security check) clearance for projects. Successful candidates must have eligibility: 5 years UK residency and 5 years employment history (or full time education), and no more than 30 consecutive days spent outside the UK in the last five years. If at any point it is apparent that you may not be eligible for SC, we will not progress your application and will contact you to let you know why. About Made Tech Made Tech is on a mission to use technology to improve society for everyone. We help organisations transform, deliver and manage world class digital products and services. Recent achievements include the design and build of a Homes for Ukraine service delivered in 2 weeks, the digitalisation of NHS services, and support for local authorities in housing repairs. We are also advancing energy outcomes by improving network performance through real time asset monitoring. We were recently a finalist for the Raising the Bar for Workplace Transparency Award.
Sr./Staff Software Engineer (Data Platform)
Groupe-Ebra-1
Here at Humanoid, we believe in a future where robots amplify human potential. That's why we've set out on a mission to build the world's most capable, commercially-scalable, and safe humanoid robots. We're bringing that mission to life with HMND 01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we're growing the team to take it even further. About the Role We're hiring a Sr./Staff Software Engineer to join our Data Engineering team based in London. As the Data Engineering Lead, we strive to create the world's leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. We're looking for experienced Engineers to help build our data platform from the ground up. You'll have the opportunity to define its architecture, make key decisions, and shape how we handle and process petabyte-scale data in the near future. What You'll Do Build the Capability Factory - an internal platform designed for everyone from software engineers to non-technical operators, enabling the entire organization to teach HMND robots new skills at scale, from raw data all the way to deployed capabilities. Curate, preprocess, and manage large-scale datasets for humanoid robot training - a corpus of robot telemetry growing toward petabyte scale. Design and operate highly scalable data pipelines and the compute infrastructure that powers them, ensuring reliability and throughput as data volume and team demands grow. Ensure the quality, accuracy, and consistency of training data across multiple concurrent projects and robot platforms. Collaborate with machine learning teams to shape the Capability Factory, streamline MLOps, and build the evaluation workflows that close the loop between training runs and real-world robot performance. Build data warehouse solutions and BI dashboards that give stakeholders across the organization clear visibility into data collection, model progress, and operational health. Establish and uphold best practices for data management - versioning, access control, security, and compliance. What We're Looking For 5+ years of software engineering experience, with a track record of owning and delivering complex systems end-to-end, not just contributing to them. Strong backend engineering - designing and operating production-grade APIs and services: clean data modeling, reliable error handling, performance under load. Data engineering at PB+ scale - building and maintaining pipelines that move, transform, and validate large volumes of data reliably; understanding of batch and streaming processing patterns, data quality, and schema evolution. Workflow orchestration at scale - designing and operating multi-step automated pipelines with retries, observability, and graceful failure handling. Distributed systems fundamentals - you understand how things break at scale: eventual consistency, idempotency, backpressure, job scheduling, and failure modes in distributed compute and storage. Cloud infrastructure fluency - you have shipped and operated real systems on a major cloud provider; you think about cost, reliability, and security as first-class concerns, not afterthoughts. Container orchestration - deploying and operating workloads on Kubernetes at a level where you can debug scheduling issues, design resource allocation, and reason about cluster health without guidance. Full-stack range - comfortable building both the backend and the frontend of an internal product; you can own a feature from database schema to UI without handing off. Production ownership mindset - you've been on-call, triaged incidents under pressure, and improved systems after postmortems. You take reliability personally. Nice to Have ML infrastructure or MLOps experience - understanding of how training jobs run, how model artifacts are managed, and what makes an evaluation pipeline trustworthy; you've worked alongside or directly supported ML researchers. Distributed compute frameworks - experience with large-scale parallel data processing, whether for data transformation, model training, or evaluation. Domain knowledge in robotics or embodied AI - familiarity with robot data formats, sensor telemetry, or the sim-to-real evaluation loop is a significant head start. BI and data warehouse experience - building data models and dashboards that translate raw operational data into decisions for non-technical stakeholders. Dual-cloud or multi-cloud storage - experience reasoning about cost, latency, and consistency tradeoffs across storage providers. Frontend product sense - beyond just shipping features, you have opinions about what makes an internal tool actually usable by non-engineers. What We Offer Competitive equity: stock options with meaningful upside as we scale. 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas-New Year shutdown). Private healthcare, including virtual and in-person care. Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. Free daily breakfast, catered lunch, and snacks in-office. Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
17/07/2026
Full time
Here at Humanoid, we believe in a future where robots amplify human potential. That's why we've set out on a mission to build the world's most capable, commercially-scalable, and safe humanoid robots. We're bringing that mission to life with HMND 01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we're growing the team to take it even further. About the Role We're hiring a Sr./Staff Software Engineer to join our Data Engineering team based in London. As the Data Engineering Lead, we strive to create the world's leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. We're looking for experienced Engineers to help build our data platform from the ground up. You'll have the opportunity to define its architecture, make key decisions, and shape how we handle and process petabyte-scale data in the near future. What You'll Do Build the Capability Factory - an internal platform designed for everyone from software engineers to non-technical operators, enabling the entire organization to teach HMND robots new skills at scale, from raw data all the way to deployed capabilities. Curate, preprocess, and manage large-scale datasets for humanoid robot training - a corpus of robot telemetry growing toward petabyte scale. Design and operate highly scalable data pipelines and the compute infrastructure that powers them, ensuring reliability and throughput as data volume and team demands grow. Ensure the quality, accuracy, and consistency of training data across multiple concurrent projects and robot platforms. Collaborate with machine learning teams to shape the Capability Factory, streamline MLOps, and build the evaluation workflows that close the loop between training runs and real-world robot performance. Build data warehouse solutions and BI dashboards that give stakeholders across the organization clear visibility into data collection, model progress, and operational health. Establish and uphold best practices for data management - versioning, access control, security, and compliance. What We're Looking For 5+ years of software engineering experience, with a track record of owning and delivering complex systems end-to-end, not just contributing to them. Strong backend engineering - designing and operating production-grade APIs and services: clean data modeling, reliable error handling, performance under load. Data engineering at PB+ scale - building and maintaining pipelines that move, transform, and validate large volumes of data reliably; understanding of batch and streaming processing patterns, data quality, and schema evolution. Workflow orchestration at scale - designing and operating multi-step automated pipelines with retries, observability, and graceful failure handling. Distributed systems fundamentals - you understand how things break at scale: eventual consistency, idempotency, backpressure, job scheduling, and failure modes in distributed compute and storage. Cloud infrastructure fluency - you have shipped and operated real systems on a major cloud provider; you think about cost, reliability, and security as first-class concerns, not afterthoughts. Container orchestration - deploying and operating workloads on Kubernetes at a level where you can debug scheduling issues, design resource allocation, and reason about cluster health without guidance. Full-stack range - comfortable building both the backend and the frontend of an internal product; you can own a feature from database schema to UI without handing off. Production ownership mindset - you've been on-call, triaged incidents under pressure, and improved systems after postmortems. You take reliability personally. Nice to Have ML infrastructure or MLOps experience - understanding of how training jobs run, how model artifacts are managed, and what makes an evaluation pipeline trustworthy; you've worked alongside or directly supported ML researchers. Distributed compute frameworks - experience with large-scale parallel data processing, whether for data transformation, model training, or evaluation. Domain knowledge in robotics or embodied AI - familiarity with robot data formats, sensor telemetry, or the sim-to-real evaluation loop is a significant head start. BI and data warehouse experience - building data models and dashboards that translate raw operational data into decisions for non-technical stakeholders. Dual-cloud or multi-cloud storage - experience reasoning about cost, latency, and consistency tradeoffs across storage providers. Frontend product sense - beyond just shipping features, you have opinions about what makes an internal tool actually usable by non-engineers. What We Offer Competitive equity: stock options with meaningful upside as we scale. 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas-New Year shutdown). Private healthcare, including virtual and in-person care. Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. Free daily breakfast, catered lunch, and snacks in-office. Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
D365 and Power Platform Solution Architect
Control Risks
As a D365 and Power Platform Solution Architect, you will be responsible for translating the needs of the business into technical designs which can be moulded into high performing, highly available, extensible, and efficient software systems. The D365 and Power Platform Solution Architect will provide domain expertise across the D365 suite of applications and the Power Platform and will support all technical implementations of the D365 and Power Platform suite of applications and related integrations, especially focussing on the Vista & other company wide initiatives The role will demonstrate core competency in the processes and provide guidance and knowledge to the internal team as well as the 3rd Party SI team on all technical aspects. What You'll Do: Have responsibility for designing solutions that may involve a combination of in-house enterprise grade solutions and related products across one or more teams and/or third parties. This will involve working with other functions in ETS (Architecture, Infrastructure, Service Delivery, Security, Business Analysis, etc), stakeholder functions 3rd parties who will all be engaged to develop high level designs. Be responsible for identifying, assessing, and selecting the most appropriate technologies, architectural styles and patterns needed to deliver a software solution, in conjunction with other functions in ETS Assist in diagnosing key constraints and issues within core back office systems and help drive resolution through a collaborative working approach Have an 'AI first' approach in considering the existing D365 Co Pilots, their application and licensing and how they could simplify or augment business processes Work closely with architects, ETS functions, business analysts and partners to ensure that solutions can be translated into working, high quality solutions and be clearly articulated to the team Work closely with third parties/vendors involved to ensure fitment of the end to end solutions Develop strong relationships with Business stakeholders, Product Owners and other Teams; both within ETS and across the organization to guarantee that solution designs map to the requirements of the business and are aligned to the roadmap of partner teams and the wider strategic roadmap of the company Support project and programme management to understand, communicate and manage technical dependencies across platforms and projects Ensure that any non functional requirements, environmental or technology constraints are captured, considered, and addressed as part of the solution design Assure that Architectural standards are met and that key artefacts are produced and maintained Work with Architects to ensure the continual improvement of the architecture and engineering practices Guide and mentor within the teams you work with, and provide feedback to the line managers around performance and reviews; and seek out and actively promote ideas and techniques in the community - both internally and externally Review, feedback and validate all technical designs and implementation plans of the 3rd party SI / vendors Provide technical knowledge and understand of existing applications, data & integration configuration Own collation and delivery of Control Risks' Non Functional Requirements to the project Accountable for the assurance of the technical design, system configuration, data structures, projected performance, security, integration, resilience of D365 and Power Platform solutions Accountable for ensuring appropriate resilience is built into the technical design of the solution to maximise availability of platform in accordance with business need Accountable for the identification of all integrations with other systems/services and work with 3rd party SI to accommodate in the D365 solutions Work with the test managers for the assurance of the test strategy and execution to ensure all technical defects are identified and remediated ahead of release into production Proactively identify and highlight all risks and issues with technical transitions. Ensure risks and issues are raised to project leadership team through the appropriate governance and work with 3rd party SI to mitigate. Work with the Delivery Managers concerned to support and resolve post implementation defects/issues Engage with the design authority on all solution designs, technical specifications and detailed low level architecture discussions Troubleshoot technical issues encountered during development and/or deployment Ensure Information Security have reviewed and signed off all technical solution designs Support the Service Design and Transition activities to ensure all technical, operations and lifecycle implications of the D365 and Power Platform solutions are considered Review technical and operational documentation associated with the D365 and Power Platform solutions Provide support to the service transition activities to ensure smooth transition of technical platforms from development into production Power Platform: Ensure existing Power Platform projects are supported (Power Automate, Power BI, Power Apps), engage in understanding new requirements and impact on the business flows, focused on the D365 solutions overall architecture Data and Reporting: Represent D365 reporting holistically from all platforms, working with the data engineers and architects to ensure application reporting is delivered as required for the business Provide understanding for the transition of existing legacy platforms as required Work with support teams to deliver timely feature releases and hotfix updates, work with the teams to design and test and schedule CAB releases for the platforms as designed for LCS Who You Are: Proven experience in working with or implementing the D365 suite solutions and the Power Platform, including associated reporting and integration architectures Excellent and proven design capabilities, preferably in a micro services architecture as well as working with and influencing 3rd parties to develop the right solution Proven experience of helping teams to successfully deliver complex, highly performing and high quality software systems, both from Engineering and Architectural standpoints Experience shaping both functional and non functional requirements, ideally within a high volume and geographically dispersed global integrated ERP CRM environment Ability to assess 3rd Party products and technologies, along with being able to evaluate whether to take a build or buy approach Ability to use AI tools like the Co Pilot Studio and D365 Co Pilots in simplifying and/or augmenting business processes, including licence considerations Experienced at effectively communicating technical designs to both technical and non technical audiences; familiar with modelling languages and producing formal design artifacts to convey designs, but is equally comfortable translating them into a higher level view Experience of the full software development lifecycle, along with an appreciation of quality assurance, continuous integration/delivery, and the benefits of automation Experience and understanding of Agile practices and the ability to gauge the appropriate amount of up front design that will be required to ensure the team can build, but are not overly restricted or constrained by the design should changes be required Excellent communication and influencing skills, being able to adapt according to target audience. Strategic thinking, delivering artefacts such as future state architectures and roadmaps that consider the wider and longer term implications while maintaining pragmatism Appropriate planning to support the delivery of core capabilities in a fast paced environment IT applications, operations, service, and support organizations in a global business Data migration tools processing (DMF), analysis and Microsoft LCS management tools Experience in managing DevOps projects in an Agile environment Desirable Implementing and supporting Microsoft D365 solutions, Microsoft Power Platform solutions and Microsoft Data solutions (Data Lake, Data Factory, Data Warehouse) MS SQL DB, TSQL language, ETL, SSRS, SSIS Experience Dataverse, Common Data Services, Synapse Experience Strong communication skills with a proven ability to understand key concepts and communicate effectively with technical staff, business stakeholders and senior management. Proven ability to communicate technical concepts to non technical people to enhance understanding and drive to decisions that lead to positive outcomes Proven ability to collaborate, build relationships and influence individuals at all levels in a matrix management environment (as well as external vendors and service providers) to ensure that segregation and overlapping roles are identified and coordinated Strong organisational skills, the ability to perform under pressure and management of multiple priorities with competing demands for resources Strong analytical, data processing and problem solving skills Proficiency in process formulation and continual improvement and Life Cycle management Problem Solving Takes responsibility to analyse the situation to provide and/or escape the solution Innovation & Creativity Shows initiative in work, contributing new solutions or ways of doing things Applied Thinking/Decision Making . click apply for full job details
15/07/2026
Full time
As a D365 and Power Platform Solution Architect, you will be responsible for translating the needs of the business into technical designs which can be moulded into high performing, highly available, extensible, and efficient software systems. The D365 and Power Platform Solution Architect will provide domain expertise across the D365 suite of applications and the Power Platform and will support all technical implementations of the D365 and Power Platform suite of applications and related integrations, especially focussing on the Vista & other company wide initiatives The role will demonstrate core competency in the processes and provide guidance and knowledge to the internal team as well as the 3rd Party SI team on all technical aspects. What You'll Do: Have responsibility for designing solutions that may involve a combination of in-house enterprise grade solutions and related products across one or more teams and/or third parties. This will involve working with other functions in ETS (Architecture, Infrastructure, Service Delivery, Security, Business Analysis, etc), stakeholder functions 3rd parties who will all be engaged to develop high level designs. Be responsible for identifying, assessing, and selecting the most appropriate technologies, architectural styles and patterns needed to deliver a software solution, in conjunction with other functions in ETS Assist in diagnosing key constraints and issues within core back office systems and help drive resolution through a collaborative working approach Have an 'AI first' approach in considering the existing D365 Co Pilots, their application and licensing and how they could simplify or augment business processes Work closely with architects, ETS functions, business analysts and partners to ensure that solutions can be translated into working, high quality solutions and be clearly articulated to the team Work closely with third parties/vendors involved to ensure fitment of the end to end solutions Develop strong relationships with Business stakeholders, Product Owners and other Teams; both within ETS and across the organization to guarantee that solution designs map to the requirements of the business and are aligned to the roadmap of partner teams and the wider strategic roadmap of the company Support project and programme management to understand, communicate and manage technical dependencies across platforms and projects Ensure that any non functional requirements, environmental or technology constraints are captured, considered, and addressed as part of the solution design Assure that Architectural standards are met and that key artefacts are produced and maintained Work with Architects to ensure the continual improvement of the architecture and engineering practices Guide and mentor within the teams you work with, and provide feedback to the line managers around performance and reviews; and seek out and actively promote ideas and techniques in the community - both internally and externally Review, feedback and validate all technical designs and implementation plans of the 3rd party SI / vendors Provide technical knowledge and understand of existing applications, data & integration configuration Own collation and delivery of Control Risks' Non Functional Requirements to the project Accountable for the assurance of the technical design, system configuration, data structures, projected performance, security, integration, resilience of D365 and Power Platform solutions Accountable for ensuring appropriate resilience is built into the technical design of the solution to maximise availability of platform in accordance with business need Accountable for the identification of all integrations with other systems/services and work with 3rd party SI to accommodate in the D365 solutions Work with the test managers for the assurance of the test strategy and execution to ensure all technical defects are identified and remediated ahead of release into production Proactively identify and highlight all risks and issues with technical transitions. Ensure risks and issues are raised to project leadership team through the appropriate governance and work with 3rd party SI to mitigate. Work with the Delivery Managers concerned to support and resolve post implementation defects/issues Engage with the design authority on all solution designs, technical specifications and detailed low level architecture discussions Troubleshoot technical issues encountered during development and/or deployment Ensure Information Security have reviewed and signed off all technical solution designs Support the Service Design and Transition activities to ensure all technical, operations and lifecycle implications of the D365 and Power Platform solutions are considered Review technical and operational documentation associated with the D365 and Power Platform solutions Provide support to the service transition activities to ensure smooth transition of technical platforms from development into production Power Platform: Ensure existing Power Platform projects are supported (Power Automate, Power BI, Power Apps), engage in understanding new requirements and impact on the business flows, focused on the D365 solutions overall architecture Data and Reporting: Represent D365 reporting holistically from all platforms, working with the data engineers and architects to ensure application reporting is delivered as required for the business Provide understanding for the transition of existing legacy platforms as required Work with support teams to deliver timely feature releases and hotfix updates, work with the teams to design and test and schedule CAB releases for the platforms as designed for LCS Who You Are: Proven experience in working with or implementing the D365 suite solutions and the Power Platform, including associated reporting and integration architectures Excellent and proven design capabilities, preferably in a micro services architecture as well as working with and influencing 3rd parties to develop the right solution Proven experience of helping teams to successfully deliver complex, highly performing and high quality software systems, both from Engineering and Architectural standpoints Experience shaping both functional and non functional requirements, ideally within a high volume and geographically dispersed global integrated ERP CRM environment Ability to assess 3rd Party products and technologies, along with being able to evaluate whether to take a build or buy approach Ability to use AI tools like the Co Pilot Studio and D365 Co Pilots in simplifying and/or augmenting business processes, including licence considerations Experienced at effectively communicating technical designs to both technical and non technical audiences; familiar with modelling languages and producing formal design artifacts to convey designs, but is equally comfortable translating them into a higher level view Experience of the full software development lifecycle, along with an appreciation of quality assurance, continuous integration/delivery, and the benefits of automation Experience and understanding of Agile practices and the ability to gauge the appropriate amount of up front design that will be required to ensure the team can build, but are not overly restricted or constrained by the design should changes be required Excellent communication and influencing skills, being able to adapt according to target audience. Strategic thinking, delivering artefacts such as future state architectures and roadmaps that consider the wider and longer term implications while maintaining pragmatism Appropriate planning to support the delivery of core capabilities in a fast paced environment IT applications, operations, service, and support organizations in a global business Data migration tools processing (DMF), analysis and Microsoft LCS management tools Experience in managing DevOps projects in an Agile environment Desirable Implementing and supporting Microsoft D365 solutions, Microsoft Power Platform solutions and Microsoft Data solutions (Data Lake, Data Factory, Data Warehouse) MS SQL DB, TSQL language, ETL, SSRS, SSIS Experience Dataverse, Common Data Services, Synapse Experience Strong communication skills with a proven ability to understand key concepts and communicate effectively with technical staff, business stakeholders and senior management. Proven ability to communicate technical concepts to non technical people to enhance understanding and drive to decisions that lead to positive outcomes Proven ability to collaborate, build relationships and influence individuals at all levels in a matrix management environment (as well as external vendors and service providers) to ensure that segregation and overlapping roles are identified and coordinated Strong organisational skills, the ability to perform under pressure and management of multiple priorities with competing demands for resources Strong analytical, data processing and problem solving skills Proficiency in process formulation and continual improvement and Life Cycle management Problem Solving Takes responsibility to analyse the situation to provide and/or escape the solution Innovation & Creativity Shows initiative in work, contributing new solutions or ways of doing things Applied Thinking/Decision Making . click apply for full job details
Staff Platform Engineer, UK
Multicoin
Location UK Employment Type Full time Location Type Remote Department Engineering EMEA Engineering Compensation L4-L5 (Staff - Sr Staff) - UK - London £138K - £224K • Offers Equity L4-L5 (Staff - Sr Staff) - UK - London £138K - £224K • Offers Equity Please read our Engineering Levels and Engineering Compensation resources to learn how we define levels and approach compensation across different locations. The posted range represents the typical compensation range for this role. To determine actual compensation we review the market rate of each candidate which can include a variety of factors including qualifications, experience, and location. Additional benefits are shared as part of the job posting. We're looking for a curious, rigorous, problem-hungry platform engineer (who codes!) to carry the ball as we bring Ashby to the big leagues. Ashby builds software that lets talent teams build an efficient, delightful, respectful hiring process. Similarly, you're an engineer who wants to build a "paved road" that excellent engineering teams can safely take to the moon and back. We have notable customers like Notion, Linear, Shopify, and Snowflake. Our growth and retention metrics are best-in-class among our peers: we have tens of millions in ARR, growing >100% year over year, over 2500 customers, very low churn, and many years of runway. We'll share more details once we meet, but you now probably have a good idea as to why we're hiring for this role . We've listed this role twice: as a Platform Engineer and Site Reliability Engineer - our team does both, and we are open to candidates who lean towards one or the other. About the role and how we work Hi I'm Colin, Head of EMEA Engineering. I've spent a number of years leading engineering teams in startups, and that has always included being close to infrastructure teams - no matter what name they've worn (SRE, infrastructure, platform, etc). I've got my hands dirty building the initial infrastructure for startups and know the value a talented infrastructure engineer brings. The rigour, the discipline, the peace and quiet when everything just hums along. Our infrastructure is in a good place for now. Nothing is static. Ashby continues to grow rapidly, putting strain on our existing infrastructure. We're always looking to give our customers more powerful hiring software, and building new product features often requires new pieces of infrastructure. Having herded plenty of snowflakeservers in the past, I've learned there's a better way. I (and Ashby) place a lot of value on infrastructure-as-code. As a Platform Engineer at Ashby, you'll get to dive into scaling problems, add new capabilities to our platform, and think about how our entire team interacts with infrastructure. All our own engineers own their projects end-to-end and ship with minimal oversight. We don't put roadblocks to ensure security when common sense will do and we don't build processes like change management boards around the lowest common denominator. But with great power comes great responsibility: we handle personal and confidential data about some of the biggest decisions we ever make at work. As we grow, more and bigger customers rely on us to be reliable and secure and how we operate internally will need to evolve. We're at an inflection point where our ability to scale and deliver a seamless experience has a make-or-break impact - we have some of the fastest growing companies using our platform every day to hire hundreds of people per month. We need someone like you to make good decisions, debug thorny issues, and build us a future-proof platform that can withstand this scale. Our small but mighty infrastructure team has set up a secure and simple environment (we don't believe in spinning up a new service unless necessary!) for our growing product team to build in. That's where you come in: you, too, will own projects end-to-end and have an impact on core parts of the Ashby developer and user experience. For instance, you could work on: Optimize our homegrown ultra-dynamic recruiting DSL-to-SQL compiler, and create tools to help developers do so Create automated guardrails for the security and privacy of our customer data Help our developers ship features fast through canary deploys, gradual rollouts and feature flags, while keeping complexity manageable and reducing downtime Work with the business and the engineering team to define SLOs and implement the corresponding SLIs. Ensure all communication with external services supports retries and circuit-breakers. Implement the infrastructure to support an event-driven architecture and data warehouse. We're looking for someone who can build systems that an engineer would like to work with: mature and boring but open-minded and approachable. We have to balance reliability with flexibility. Software and its availability are now mission critical to almost every working professional. To be in an SRE in today's world, you have to be extremely comfortable evaluating risk, those you take and those others take. Why you should or shouldn't apply You should apply if: You never stop. You get weirdly obsessed about a problem that doesn't yet make sense, turn it every which way in your head until the explanation dawns. You'll search every rock, inventory every clue, hunt every mismatch. We do that too - together we'll be armed with state-of-the-art monitoring tools and an impressive amount of data, and join you in the adventure. You don't take shortcuts. You're speaking up for the future user, the edge case, the doomsday design. You know product engineers want to build it with you, and see them as allies, where you give them the power and knowledge to access greater things. You're someone who cares about what you do and the team you do it with, and want to work with others who do as well. You'll be on interview panels choosing your next colleagues, and you'll take that seriously. You only want to work with people who make you better, and want to make you better. You've built infrastructure at a slightly later stage than Ashby is at - you know how to deal with millions of data points, have seen great (or not great) infrastructure make or break customer experience, and have automated everything from provisioning to monitoring and release process. You're a Swiss army knife (all nationalities welcome). You'll get every hard problem the company faces. You'll get to do infrastructure updates, security enforcements, database optimization, Kubernetes debugging, and digging through Typescript traces figuring out what doesn't work. You probably don't feel like an expert at at least some of that and that appeals to you. All that makes for a pretty specific kind of role, and the job isn't to everyone's tastes! You should not apply if: You don't want to make your own decisions on what is the best paved road to build for Ashby, and expect a lead or manager to make the final call on that. Our leads (and managers) give ample commentary and feedback on technical decisions and how they're made, but you ship what you want to build and are accountable for it. You hate SQL. We have a lot of features built around making the best out of data, and our platform engineers also sometimes dive into a gnarly report or advise engineers on a more performant data model to use. You don't want to code. Our SREs are some of our best software engineers and they are just as responsible for the application as the other engineering teams - albeit at a platform level. Reviewing code and submitting code changes will be part of your day to day. Your primary mode of communicating best practices to engineers is live meetings. We're a very async culture and written communication (and code) is how changes get made. As an Ashby SRE, you will need to share new tooling and best practices with engineers faster than your next meeting opportunity will take you. You've never delivered a project, on your own, without someone prodding you for updates. We have no project or delivery managers to fill your calendar with busy work, but the flip side is you have to do your project management, seek the help you need to get unstuck and cut scope when it's worthwhile. Technology Stack We share our tech stack with the caveat that we don't require previous experience in it: TypeScript (frontend & backend), Node.js, React, Apollo GraphQL, Postgres, Redis. We use Datadog and Sentry on 100% cloud-based (AWS) infra. We take developer experience and reliability seriously: all engineers are on call in a follow-the-sun model, and everyone contributes to developer tooling. What We're Building As engineers, we are used to tooling that makes us better at what we do. When we started Ashby, we saw the opposite with Talent Acquisition software. Recruiting teams were leveling up how they did their work, but instead of software meeting this new standard, it held them back. Scheduling a final round is an excellent example. Recruiting teams wanted to schedule candidates faster, track interviewer preparation and quality, and do it with half the headcount. A recruiter needed to manually collect availability from the candidate, identify qualified interviewers, perform "Calendar Tetris" to find who is available to interview the candidate, schedule on the earliest date possible, and make any last-minute adjustments as availability changed. They must do this while considering the interview load on each individual and whether interviewers need to be trained and shadowing others. TA software didn't help. As hiring managers . click apply for full job details
14/07/2026
Full time
Location UK Employment Type Full time Location Type Remote Department Engineering EMEA Engineering Compensation L4-L5 (Staff - Sr Staff) - UK - London £138K - £224K • Offers Equity L4-L5 (Staff - Sr Staff) - UK - London £138K - £224K • Offers Equity Please read our Engineering Levels and Engineering Compensation resources to learn how we define levels and approach compensation across different locations. The posted range represents the typical compensation range for this role. To determine actual compensation we review the market rate of each candidate which can include a variety of factors including qualifications, experience, and location. Additional benefits are shared as part of the job posting. We're looking for a curious, rigorous, problem-hungry platform engineer (who codes!) to carry the ball as we bring Ashby to the big leagues. Ashby builds software that lets talent teams build an efficient, delightful, respectful hiring process. Similarly, you're an engineer who wants to build a "paved road" that excellent engineering teams can safely take to the moon and back. We have notable customers like Notion, Linear, Shopify, and Snowflake. Our growth and retention metrics are best-in-class among our peers: we have tens of millions in ARR, growing >100% year over year, over 2500 customers, very low churn, and many years of runway. We'll share more details once we meet, but you now probably have a good idea as to why we're hiring for this role . We've listed this role twice: as a Platform Engineer and Site Reliability Engineer - our team does both, and we are open to candidates who lean towards one or the other. About the role and how we work Hi I'm Colin, Head of EMEA Engineering. I've spent a number of years leading engineering teams in startups, and that has always included being close to infrastructure teams - no matter what name they've worn (SRE, infrastructure, platform, etc). I've got my hands dirty building the initial infrastructure for startups and know the value a talented infrastructure engineer brings. The rigour, the discipline, the peace and quiet when everything just hums along. Our infrastructure is in a good place for now. Nothing is static. Ashby continues to grow rapidly, putting strain on our existing infrastructure. We're always looking to give our customers more powerful hiring software, and building new product features often requires new pieces of infrastructure. Having herded plenty of snowflakeservers in the past, I've learned there's a better way. I (and Ashby) place a lot of value on infrastructure-as-code. As a Platform Engineer at Ashby, you'll get to dive into scaling problems, add new capabilities to our platform, and think about how our entire team interacts with infrastructure. All our own engineers own their projects end-to-end and ship with minimal oversight. We don't put roadblocks to ensure security when common sense will do and we don't build processes like change management boards around the lowest common denominator. But with great power comes great responsibility: we handle personal and confidential data about some of the biggest decisions we ever make at work. As we grow, more and bigger customers rely on us to be reliable and secure and how we operate internally will need to evolve. We're at an inflection point where our ability to scale and deliver a seamless experience has a make-or-break impact - we have some of the fastest growing companies using our platform every day to hire hundreds of people per month. We need someone like you to make good decisions, debug thorny issues, and build us a future-proof platform that can withstand this scale. Our small but mighty infrastructure team has set up a secure and simple environment (we don't believe in spinning up a new service unless necessary!) for our growing product team to build in. That's where you come in: you, too, will own projects end-to-end and have an impact on core parts of the Ashby developer and user experience. For instance, you could work on: Optimize our homegrown ultra-dynamic recruiting DSL-to-SQL compiler, and create tools to help developers do so Create automated guardrails for the security and privacy of our customer data Help our developers ship features fast through canary deploys, gradual rollouts and feature flags, while keeping complexity manageable and reducing downtime Work with the business and the engineering team to define SLOs and implement the corresponding SLIs. Ensure all communication with external services supports retries and circuit-breakers. Implement the infrastructure to support an event-driven architecture and data warehouse. We're looking for someone who can build systems that an engineer would like to work with: mature and boring but open-minded and approachable. We have to balance reliability with flexibility. Software and its availability are now mission critical to almost every working professional. To be in an SRE in today's world, you have to be extremely comfortable evaluating risk, those you take and those others take. Why you should or shouldn't apply You should apply if: You never stop. You get weirdly obsessed about a problem that doesn't yet make sense, turn it every which way in your head until the explanation dawns. You'll search every rock, inventory every clue, hunt every mismatch. We do that too - together we'll be armed with state-of-the-art monitoring tools and an impressive amount of data, and join you in the adventure. You don't take shortcuts. You're speaking up for the future user, the edge case, the doomsday design. You know product engineers want to build it with you, and see them as allies, where you give them the power and knowledge to access greater things. You're someone who cares about what you do and the team you do it with, and want to work with others who do as well. You'll be on interview panels choosing your next colleagues, and you'll take that seriously. You only want to work with people who make you better, and want to make you better. You've built infrastructure at a slightly later stage than Ashby is at - you know how to deal with millions of data points, have seen great (or not great) infrastructure make or break customer experience, and have automated everything from provisioning to monitoring and release process. You're a Swiss army knife (all nationalities welcome). You'll get every hard problem the company faces. You'll get to do infrastructure updates, security enforcements, database optimization, Kubernetes debugging, and digging through Typescript traces figuring out what doesn't work. You probably don't feel like an expert at at least some of that and that appeals to you. All that makes for a pretty specific kind of role, and the job isn't to everyone's tastes! You should not apply if: You don't want to make your own decisions on what is the best paved road to build for Ashby, and expect a lead or manager to make the final call on that. Our leads (and managers) give ample commentary and feedback on technical decisions and how they're made, but you ship what you want to build and are accountable for it. You hate SQL. We have a lot of features built around making the best out of data, and our platform engineers also sometimes dive into a gnarly report or advise engineers on a more performant data model to use. You don't want to code. Our SREs are some of our best software engineers and they are just as responsible for the application as the other engineering teams - albeit at a platform level. Reviewing code and submitting code changes will be part of your day to day. Your primary mode of communicating best practices to engineers is live meetings. We're a very async culture and written communication (and code) is how changes get made. As an Ashby SRE, you will need to share new tooling and best practices with engineers faster than your next meeting opportunity will take you. You've never delivered a project, on your own, without someone prodding you for updates. We have no project or delivery managers to fill your calendar with busy work, but the flip side is you have to do your project management, seek the help you need to get unstuck and cut scope when it's worthwhile. Technology Stack We share our tech stack with the caveat that we don't require previous experience in it: TypeScript (frontend & backend), Node.js, React, Apollo GraphQL, Postgres, Redis. We use Datadog and Sentry on 100% cloud-based (AWS) infra. We take developer experience and reliability seriously: all engineers are on call in a follow-the-sun model, and everyone contributes to developer tooling. What We're Building As engineers, we are used to tooling that makes us better at what we do. When we started Ashby, we saw the opposite with Talent Acquisition software. Recruiting teams were leveling up how they did their work, but instead of software meeting this new standard, it held them back. Scheduling a final round is an excellent example. Recruiting teams wanted to schedule candidates faster, track interviewer preparation and quality, and do it with half the headcount. A recruiter needed to manually collect availability from the candidate, identify qualified interviewers, perform "Calendar Tetris" to find who is available to interview the candidate, schedule on the earliest date possible, and make any last-minute adjustments as availability changed. They must do this while considering the interview load on each individual and whether interviewers need to be trained and shadowing others. TA software didn't help. As hiring managers . click apply for full job details
Lead Data Engineer
Limelight Health
As a Lead Data Engineer (Consultant) at Kainos you will be responsible for designing and developing data processing and data persistence software components for solutions which handle data at scale. Working in agile teams, Lead Data Engineers provide strong development leadership for team members and take responsibility for the quality of the codebase as well as the match to user needs. Responsibilities Taking responsibility for the development of whole components or subsystems within a team. Development incorporates design, code, test and defect resolution. Focusing on hands on design and development, using open source and commercial platforms. Defining and enforcing development best practice and coaching team members to ensure consistency. Working with project architects, taking responsibility for non functional needs of ETL/ELT data processing pipelines such as robustness and performance. Taking responsibility for standards and execution of unit and integration testing done within the team. Taking responsibility for software product due diligence and integration. Leading troubleshooting and tuning of activities. Working with Operations teams to ensure the application software is operationally ready. Working with Security Architects and accreditors to ensure compliance with relevant legal and security requirements Advising customers and managers and other team members of the estimated effort and technical implications of user stories and user journeys. Contributing to technical proposals as part of the sales process. Managing, coaching and developing a small number of staff, with a focus on managing employee performance and assisting in their career development. You'll also provide direction for your team as you solve problems together Qualifications Minimum (essential) Requirements Experience of leading a team of engineers in the implementation of data intensive system components Experience of applying standards for design (patterns), development (style guides) and operational readiness (automation, deployment) Proficient software development experience in one of Java, Scala, or Python Software development experience with data processing platforms from vendors including Informatica, Azure Databricks or any relevant ETL tools Expert in SQL or SQL extensions for analytical use case Expert understanding of distributed data stores and data processing frameworks Ability to simply and clearly communicate technical design both written and verbally Proficient in designing analytical and operational data models A keen interest in AI technologies Desirable Comfortable with Data Warehouse methods and techniques Actively shares their thoughts and views on data practices AWS/Azure/GCP Certified in Data Services Expertise in continuous improvement and sharing input on data best practice Participation in development and/or technology communities Practical experience with AI technologies, tools, processes and delivery Who You Are Our vision is to enable outstanding people to create digital solutions that have a positive impact on people's lives. Our values aren't abstract; they are the behaviours we expect from each other every day, and underpin everything that we do. We expect everyone to display our values by being determined in how obstacles are overcome; honest when dealing with others; respectful of how you treat others; creative to find solutions to complex problems and cooperative by sharing information, knowledge and experience. These values, applied collectively, help to produce an outstanding Kainos person, team and culture.
12/07/2026
Full time
As a Lead Data Engineer (Consultant) at Kainos you will be responsible for designing and developing data processing and data persistence software components for solutions which handle data at scale. Working in agile teams, Lead Data Engineers provide strong development leadership for team members and take responsibility for the quality of the codebase as well as the match to user needs. Responsibilities Taking responsibility for the development of whole components or subsystems within a team. Development incorporates design, code, test and defect resolution. Focusing on hands on design and development, using open source and commercial platforms. Defining and enforcing development best practice and coaching team members to ensure consistency. Working with project architects, taking responsibility for non functional needs of ETL/ELT data processing pipelines such as robustness and performance. Taking responsibility for standards and execution of unit and integration testing done within the team. Taking responsibility for software product due diligence and integration. Leading troubleshooting and tuning of activities. Working with Operations teams to ensure the application software is operationally ready. Working with Security Architects and accreditors to ensure compliance with relevant legal and security requirements Advising customers and managers and other team members of the estimated effort and technical implications of user stories and user journeys. Contributing to technical proposals as part of the sales process. Managing, coaching and developing a small number of staff, with a focus on managing employee performance and assisting in their career development. You'll also provide direction for your team as you solve problems together Qualifications Minimum (essential) Requirements Experience of leading a team of engineers in the implementation of data intensive system components Experience of applying standards for design (patterns), development (style guides) and operational readiness (automation, deployment) Proficient software development experience in one of Java, Scala, or Python Software development experience with data processing platforms from vendors including Informatica, Azure Databricks or any relevant ETL tools Expert in SQL or SQL extensions for analytical use case Expert understanding of distributed data stores and data processing frameworks Ability to simply and clearly communicate technical design both written and verbally Proficient in designing analytical and operational data models A keen interest in AI technologies Desirable Comfortable with Data Warehouse methods and techniques Actively shares their thoughts and views on data practices AWS/Azure/GCP Certified in Data Services Expertise in continuous improvement and sharing input on data best practice Participation in development and/or technology communities Practical experience with AI technologies, tools, processes and delivery Who You Are Our vision is to enable outstanding people to create digital solutions that have a positive impact on people's lives. Our values aren't abstract; they are the behaviours we expect from each other every day, and underpin everything that we do. We expect everyone to display our values by being determined in how obstacles are overcome; honest when dealing with others; respectful of how you treat others; creative to find solutions to complex problems and cooperative by sharing information, knowledge and experience. These values, applied collectively, help to produce an outstanding Kainos person, team and culture.
Sr./Staff Software Engineer (Data Team)
Humanoid
Here at Humanoid, we believe in a future where robots amplify human potential. That's why we've set out on a mission to build the world's most capable, commercially-scalable, and safe humanoid robots. We're bringing that mission to life with HMND 01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we're growing the team to take it even further. About the Role We're hiring a Sr./Staff Software Engineer to join our Data Engineering team based in London. As the Data Engineering Lead, we strive to create the world's leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. We're looking for experienced Engineers to help build our data platform from the ground up. You'll have the opportunity to define its architecture, make key decisions, and shape how we handle and process petabyte-scale data in the near future. What You'll Do Build the Capability Factory - an internal platform designed for everyone from software engineers to non-technical operators, enabling the entire organization to teach HMND robots new skills at scale, from raw data all the way to deployed capabilities. Curate, preprocess, and manage large-scale datasets for humanoid robot training - a corpus of robot telemetry growing toward petabyte scale. Design and operate highly scalable data pipelines and the compute infrastructure that powers them, ensuring reliability and throughput as data volume and team demands grow. Ensure the quality, accuracy, and consistency of training data across multiple concurrent projects and robot platforms. Collaborate with machine learning teams to shape the Capability Factory, streamline MLOps, and build the evaluation workflows that close the loop between training runs and real-world robot performance. Build data warehouse solutions and BI dashboards that give stakeholders across the organization clear visibility into data collection, model progress, and operational health. Establish and uphold best practices for data management - versioning, access control, security, and compliance. What We're Looking For 5+ years of software engineering experience, with a track record of owning and delivering complex systems end-to-end, not just contributing to them. Strong backend engineering - designing and operating production-grade APIs and services: clean data modeling, reliable error handling, performance under load. Data engineering at PB+ scale - building and maintaining pipelines that move, transform, and validate large volumes of data reliably; understanding of batch and streaming processing patterns, data quality, and schema evolution. Workflow orchestration at scale - designing and operating multi-step automated pipelines with retries, observability, and graceful failure handling. Distributed systems fundamentals - you understand how things break at scale: eventual consistency, idempotency, backpressure, job scheduling, and failure modes in distributed compute and storage. Cloud infrastructure fluency - you have shipped and operated real systems on a major cloud provider; you think about cost, reliability, and security as first-class concerns, not afterthoughts. Container orchestration - deploying and operating workloads on Kubernetes at a level where you can debug scheduling issues, design resource allocation, and reason about cluster health without guidance. Full-stack range - comfortable building both the backend and the frontend of an internal product; you can own a feature from database schema to UI without handing off. Production ownership mindset - you've been on-call, triaged incidents under pressure, and improved systems after postmortems. You take reliability personally. Nice to Have ML infrastructure or MLOps experience - understanding of how training jobs run, how model artifacts are managed, and what makes an evaluation pipeline trustworthy; you've worked alongside or directly supported ML researchers. Distributed compute frameworks - experience with large-scale parallel data processing, whether for data transformation, model training, or evaluation. Domain knowledge in robotics or embodied AI - familiarity with robot data formats, sensor telemetry, or the sim-to-real evaluation loop is a significant head start. BI and data warehouse experience - building data models and dashboards that translate raw operational data into decisions for non-technical stakeholders. Dual-cloud or multi-cloud storage - experience reasoning about cost, latency, and consistency tradeoffs across storage providers. Frontend product sense - beyond just shipping features, you have opinions about what makes an internal tool actually usable by non-engineers. What We Offer Competitive equity: stock options with meaningful upside as we scale. 30+ days off, including 23 days annual leave, all UK bank holidays, and additional company closure days (including Christmas-New Year shutdown). Private healthcare, including virtual and in-person care. Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. Free daily breakfast, catered lunch, and snacks in-office. Work at the frontier - collaborate daily with world class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
12/07/2026
Full time
Here at Humanoid, we believe in a future where robots amplify human potential. That's why we've set out on a mission to build the world's most capable, commercially-scalable, and safe humanoid robots. We're bringing that mission to life with HMND 01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we're growing the team to take it even further. About the Role We're hiring a Sr./Staff Software Engineer to join our Data Engineering team based in London. As the Data Engineering Lead, we strive to create the world's leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. We're looking for experienced Engineers to help build our data platform from the ground up. You'll have the opportunity to define its architecture, make key decisions, and shape how we handle and process petabyte-scale data in the near future. What You'll Do Build the Capability Factory - an internal platform designed for everyone from software engineers to non-technical operators, enabling the entire organization to teach HMND robots new skills at scale, from raw data all the way to deployed capabilities. Curate, preprocess, and manage large-scale datasets for humanoid robot training - a corpus of robot telemetry growing toward petabyte scale. Design and operate highly scalable data pipelines and the compute infrastructure that powers them, ensuring reliability and throughput as data volume and team demands grow. Ensure the quality, accuracy, and consistency of training data across multiple concurrent projects and robot platforms. Collaborate with machine learning teams to shape the Capability Factory, streamline MLOps, and build the evaluation workflows that close the loop between training runs and real-world robot performance. Build data warehouse solutions and BI dashboards that give stakeholders across the organization clear visibility into data collection, model progress, and operational health. Establish and uphold best practices for data management - versioning, access control, security, and compliance. What We're Looking For 5+ years of software engineering experience, with a track record of owning and delivering complex systems end-to-end, not just contributing to them. Strong backend engineering - designing and operating production-grade APIs and services: clean data modeling, reliable error handling, performance under load. Data engineering at PB+ scale - building and maintaining pipelines that move, transform, and validate large volumes of data reliably; understanding of batch and streaming processing patterns, data quality, and schema evolution. Workflow orchestration at scale - designing and operating multi-step automated pipelines with retries, observability, and graceful failure handling. Distributed systems fundamentals - you understand how things break at scale: eventual consistency, idempotency, backpressure, job scheduling, and failure modes in distributed compute and storage. Cloud infrastructure fluency - you have shipped and operated real systems on a major cloud provider; you think about cost, reliability, and security as first-class concerns, not afterthoughts. Container orchestration - deploying and operating workloads on Kubernetes at a level where you can debug scheduling issues, design resource allocation, and reason about cluster health without guidance. Full-stack range - comfortable building both the backend and the frontend of an internal product; you can own a feature from database schema to UI without handing off. Production ownership mindset - you've been on-call, triaged incidents under pressure, and improved systems after postmortems. You take reliability personally. Nice to Have ML infrastructure or MLOps experience - understanding of how training jobs run, how model artifacts are managed, and what makes an evaluation pipeline trustworthy; you've worked alongside or directly supported ML researchers. Distributed compute frameworks - experience with large-scale parallel data processing, whether for data transformation, model training, or evaluation. Domain knowledge in robotics or embodied AI - familiarity with robot data formats, sensor telemetry, or the sim-to-real evaluation loop is a significant head start. BI and data warehouse experience - building data models and dashboards that translate raw operational data into decisions for non-technical stakeholders. Dual-cloud or multi-cloud storage - experience reasoning about cost, latency, and consistency tradeoffs across storage providers. Frontend product sense - beyond just shipping features, you have opinions about what makes an internal tool actually usable by non-engineers. What We Offer Competitive equity: stock options with meaningful upside as we scale. 30+ days off, including 23 days annual leave, all UK bank holidays, and additional company closure days (including Christmas-New Year shutdown). Private healthcare, including virtual and in-person care. Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. Free daily breakfast, catered lunch, and snacks in-office. Work at the frontier - collaborate daily with world class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Senior Full Stack Engineer UK
Purple Dot
At Purple Dot , our vision for e-commerce is simple: Everything that gets made, gets sold. Nearly 1 in 4 products is never sold - leading to major losses and massive waste within the industry. We believe this problem exists because of lack of control and flexibility over when brands can sell - with long, fixed timelines where brands have to wait until stock is at the warehouse to start selling. It's time for a radical shift in how e-commerce operates. Purple Dot is pioneering the pre-commerce category : helping brands sell earlier - before inventory arrives - to increase sell-through, reduce waste, and drive profitability. Whether stock is 1 day or 1 year away, our platform enables smarter, faster sales that reduce risk and unlock new growth. Trusted by over 100 leading brands including Mattel, McLaren, New Era, Limited Run Games , and Oh Polly , we process millions in pre-orders every month and are proudly leading the category out front . Backed by top investors like OpenOcean, Connect, and Unusual Ventures , we're a 22-person team based in NYC, Charlotte, and London - and led by second-time founders with a track record of acquisition . The Job As a Senior Full Stack Engineer, your goal is to grab ideas for new features for our pre-commerce platform and turn them into reality, as quickly and with as much quality as makes sense at the time. You work on all shopper and merchant facing features of Purple Dot and implement them fully (there is no frontend/backend/infra split). In practice this means that one week you will be working on our shopper facing checkout, next week it might be the interactive merchant dashboards or one of backend APIs, integrations or data products. You work closely with the rest of our (small - 6 people, all in London) engineering team on scoping, breaking down and planning the implementation, then shipping the required code independently or leading a small temporary team formed for the duration of that project. You participate in our lightweight process - code reviews, frequent deploys and daily standups. Have a look here to learn more about our engineering culture You keep in mind the availability, stability, and security of our services as we scale the number of merchants and transactions through the next two orders of magnitude. Like every other engineer you support the software we build, including out of hours (on a predictable schedule, no more than 1 week/month). Why we think you'll love working at Purple Dot Work with the founding members of a fast-moving, flexible, and focused team that has already taken one startup from an idea to a successful exit. You'll have an opportunity to learn and grow very quickly, working alongside an unusually experienced team (senior and staff+ only). We have reached product market fit, our business is growing 3x+ YoY and we have committed customers that contribute to a cohesive and pointed product roadmap. Have a direct impact on our merchants and shoppers with everything you build, and spend a lot of time on writing and overseeing complex changes to core features instead of keeping the lights on. We are all in this for the journey and the experience and like to make it fun. What you'll need to be successful Have the willingness and the ability to own complex and impactful features throughout their whole development lifecycle. Be product-focused and have a pragmatic approach to engineering, prioritising delivering value to our customers. Have a desire to quickly release and iterate - you are happiest when the things you build go live. Have a growth mindset An open mind and a willingness to stretch yourself and to learn new skills. As we scale we are discovering every day what does and does not work - you'll need to be comfortable with learning from failure. Write and talk about complex ideas - and their progress - with technical and non-technical stakeholders Listen and guide other engineers to reach consensus 5+ years of working on frontend and backend systems exposed to the public. We are looking for someone with battle-hardened experiences of: Writing applications that interfaces with large SQL databases - we use Postgres. Running applications on cloud platforms (we use AWS). Integrating 3rd party software into a user facing software stack. Familiarity with frontend frameworks - we use React.js/Next.js. Either good existing knowledge or ability to pick up TypeScript very fast - we are a polyglot team but majority of our code is in .ts. Experience with e-commerce platforms like Shopify or Salesforce and their app eco-system. Experience integrating with e-commerce ERPs, OMSs and 3PLs. Experience with payment infra such Stripe or Paypal. Experience with analysing data and building data-heavy features, or working on data warehousing and data analysis tooling. Experience building applications that integrate into 3rd party websites. Equity options so that you can share in Purple Dot's success. £1500 per year to work out of our US office for a week. £1000 per year to spend on your own holidays. £1000 per year to spend on your own learning and development. £250 per year to spend on products sold through Purple Dot. Company MacBook Pro delivered in time for your first day. Sometimes there's free food, sometimes there's free travel. How we interview We run a simple process that we aim to go through in just a few days (1h) Meet with Ryszard our Head of Engineering to learn more about each other and this role. (1h) Conversation about your current work - expect this to go into a lot of technical detail. (2h) Final stage when you will pair with us on a System Design exercise. In our London office or over Zoom, the choice is yours. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age. Join Purple Dot and be a part of a team that is reshaping the future of retail. If you have a passion for driving customer success and want to make a meaningful impact, we'd love to hear from you!
12/07/2026
Full time
At Purple Dot , our vision for e-commerce is simple: Everything that gets made, gets sold. Nearly 1 in 4 products is never sold - leading to major losses and massive waste within the industry. We believe this problem exists because of lack of control and flexibility over when brands can sell - with long, fixed timelines where brands have to wait until stock is at the warehouse to start selling. It's time for a radical shift in how e-commerce operates. Purple Dot is pioneering the pre-commerce category : helping brands sell earlier - before inventory arrives - to increase sell-through, reduce waste, and drive profitability. Whether stock is 1 day or 1 year away, our platform enables smarter, faster sales that reduce risk and unlock new growth. Trusted by over 100 leading brands including Mattel, McLaren, New Era, Limited Run Games , and Oh Polly , we process millions in pre-orders every month and are proudly leading the category out front . Backed by top investors like OpenOcean, Connect, and Unusual Ventures , we're a 22-person team based in NYC, Charlotte, and London - and led by second-time founders with a track record of acquisition . The Job As a Senior Full Stack Engineer, your goal is to grab ideas for new features for our pre-commerce platform and turn them into reality, as quickly and with as much quality as makes sense at the time. You work on all shopper and merchant facing features of Purple Dot and implement them fully (there is no frontend/backend/infra split). In practice this means that one week you will be working on our shopper facing checkout, next week it might be the interactive merchant dashboards or one of backend APIs, integrations or data products. You work closely with the rest of our (small - 6 people, all in London) engineering team on scoping, breaking down and planning the implementation, then shipping the required code independently or leading a small temporary team formed for the duration of that project. You participate in our lightweight process - code reviews, frequent deploys and daily standups. Have a look here to learn more about our engineering culture You keep in mind the availability, stability, and security of our services as we scale the number of merchants and transactions through the next two orders of magnitude. Like every other engineer you support the software we build, including out of hours (on a predictable schedule, no more than 1 week/month). Why we think you'll love working at Purple Dot Work with the founding members of a fast-moving, flexible, and focused team that has already taken one startup from an idea to a successful exit. You'll have an opportunity to learn and grow very quickly, working alongside an unusually experienced team (senior and staff+ only). We have reached product market fit, our business is growing 3x+ YoY and we have committed customers that contribute to a cohesive and pointed product roadmap. Have a direct impact on our merchants and shoppers with everything you build, and spend a lot of time on writing and overseeing complex changes to core features instead of keeping the lights on. We are all in this for the journey and the experience and like to make it fun. What you'll need to be successful Have the willingness and the ability to own complex and impactful features throughout their whole development lifecycle. Be product-focused and have a pragmatic approach to engineering, prioritising delivering value to our customers. Have a desire to quickly release and iterate - you are happiest when the things you build go live. Have a growth mindset An open mind and a willingness to stretch yourself and to learn new skills. As we scale we are discovering every day what does and does not work - you'll need to be comfortable with learning from failure. Write and talk about complex ideas - and their progress - with technical and non-technical stakeholders Listen and guide other engineers to reach consensus 5+ years of working on frontend and backend systems exposed to the public. We are looking for someone with battle-hardened experiences of: Writing applications that interfaces with large SQL databases - we use Postgres. Running applications on cloud platforms (we use AWS). Integrating 3rd party software into a user facing software stack. Familiarity with frontend frameworks - we use React.js/Next.js. Either good existing knowledge or ability to pick up TypeScript very fast - we are a polyglot team but majority of our code is in .ts. Experience with e-commerce platforms like Shopify or Salesforce and their app eco-system. Experience integrating with e-commerce ERPs, OMSs and 3PLs. Experience with payment infra such Stripe or Paypal. Experience with analysing data and building data-heavy features, or working on data warehousing and data analysis tooling. Experience building applications that integrate into 3rd party websites. Equity options so that you can share in Purple Dot's success. £1500 per year to work out of our US office for a week. £1000 per year to spend on your own holidays. £1000 per year to spend on your own learning and development. £250 per year to spend on products sold through Purple Dot. Company MacBook Pro delivered in time for your first day. Sometimes there's free food, sometimes there's free travel. How we interview We run a simple process that we aim to go through in just a few days (1h) Meet with Ryszard our Head of Engineering to learn more about each other and this role. (1h) Conversation about your current work - expect this to go into a lot of technical detail. (2h) Final stage when you will pair with us on a System Design exercise. In our London office or over Zoom, the choice is yours. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age. Join Purple Dot and be a part of a team that is reshaping the future of retail. If you have a passion for driving customer success and want to make a meaningful impact, we'd love to hear from you!
D365 and Power Platform Solution Architect
Control Risks
As a D365 and Power Platform Solution Architect, you will be responsible for translating the needs of the business into technical designs which can be moulded into high performing, highly available, extensible, and efficient software systems. The D365 and Power Platform Solution Architect will provide domain expertise across the D365 suite of applications and the Power Platform and will support all technical implementations of the D365 and Power Platform suite of applications and related integrations, especially focussing on the Vista & other company wide initiatives The role will demonstrate core competency in the processes and provide guidance and knowledge to the internal team as well as the 3rd Party SI team on all technical aspects. What You'll Do: Have responsibility for designing solutions that may involve a combination of in-house enterprise-grade solutions and related products across one or more teams and/or third parties. This will involve working with other functions in ETS (Architecture, Infrastructure, Service Delivery, Security, Business Analysis, etc), stakeholder functions 3rd parties who will all be engaged to develop high-level designs. Be responsible for identifying, assessing, and selecting the most appropriate technologies, architectural styles and patterns needed to deliver a software solution, in conjunction with other functions in ETS Assist in diagnosing key constraints and issues within core back-office systems and help drive resolution through a collaborative working approach Have an 'AI first' approach in considering the existing D365 Co Pilots, their application and licensing and how they could simplify or augment business processes Work closely with architects, ETS functions, business analysts and partners to ensure that solutions can be translated into working, high quality solutions and be clearly articulated to the team Work closely with third parties/vendors involved to ensure fitment of the end-to-end solutions Develop strong relationships with Business stakeholders, Product Owners and other Teams; both within ETS and across the organization to guarantee that solution designs map to the requirements of the business and are aligned to the roadmap of partner teams and the wider strategic roadmap of the company Support project and programme management to understand, communicate and manage technical dependencies across platforms and projects Ensure that any non-functional requirements, environmental or technology constraints are captured, considered, and addressed as part of the solution design Assure that Architectural standards are met and that key artefacts are produced and maintained Work with Architects to ensure the continual improvement of the architecture and engineering practices Guide and mentor within the teams you work with, and provide feedback to the line managers around performance and reviews; and seek out and actively promote ideas and techniques in the community - both internally and externally Review, feedback and validate all technical designs and implementation plans of the 3rd party SI / vendors Provide technical knowledge and understand of existing applications, data & integration configuration Own collation and delivery of Control Risks' Non-Functional Requirements to the project Accountable for the assurance of the technical design, system configuration, data structures, projected performance, security, integration, resilience of D365 and Power Platform solutions Accountable for ensuring appropriate resilience is built into the technical design of the solution to maximise availability of platform in accordance with business need Accountable for the identification of all integrations with other systems/services and work with 3rd party SI to accommodate in the D365 solutions Work with the test managers for the assurance of the test strategy and execution to ensure all technical defects are identified and remediated ahead of release into production Proactively identify and highlight all risks and issues with technical transitions. Ensure risks and issues are raised to project leadership team through the appropriate governance and work with 3rd party SI to mitigate. Work with the Delivery Managers concerned to support and resolve post-implementation defects/issues Engage with the design authority on all solution designs, technical specifications and detailed low-level architecture discussions Troubleshoot technical issues encountered during development and/or deployment Ensure Information Security have reviewed and signed off all technical solution designs Support the Service Design and Transition activities to ensure all technical, operations and lifecycle implications of the D365 and Power Platform solutions are considered Review technical and operational documentation associated with the D365 and Power Platform solutions Provide support to the service transition activities to ensure smooth transition of technical platforms from development into production Power Platform: Ensure existing Power Platform projects are supported (Power Automate, Power BI, Power Apps), engage in understanding new requirements and impact on the business flows, focused on the D365 solutions overall architecture Data and Reporting: Represent D365 reporting holistically from all platforms, working with the data engineers and architects to ensure application reporting is delivered as required for the business Provide understanding for the transition of existing legacy platforms as required Work with support teams to deliver timely feature releases and hotfix updates, work with the teams to design and test and schedule CAB releases for the platforms as designed for LCS Who You Are: Proven experience in working with or implementing the D365 suite solutions and the Power Platform, including associated reporting and integration architectures Excellent and proven design capabilities, preferably in a micro-services architecture as well as working with and influencing 3rd parties to develop the right solution Proven experience of helping teams to successfully deliver complex, highly performing and high quality software systems, both from Engineering and Architectural stand points Experience shaping both functional and non functional requirements, ideally within a high volume and geographically dispersed global integrated ERP CRM environment Ability to assess 3rd Party products and technologies, along with being able to evaluate whether to take a build or buy approach Ability to use AI tools like the Co Pilot Studio and D365 Co Pilots in simplifying and/or augmenting business processes, including licence considerations Experienced at effectively communicating technical designs to both technical and non technical audiences; familiar with modelling languages and producing formal design artifacts to convey designs, but is equally comfortable translating them into a higher level view Experience of the full software development lifecycle, along with an appreciation of quality assurance, continuous integration/delivery, and the benefits of automation Experience and understanding of Agile practices and the ability to gauge the appropriate amount of up front design that will be required to ensure the team can build, but are not overly restricted or constrained by the design should changes be required Excellent communication and influencing skills, being able to adapt according to target audience. Strategic thinking, delivering artefacts such as future state architectures and roadmaps that consider the wider and longer term implications while maintaining pragmatism Appropriate planning to support the delivery of core capabilities in a fast paced environment IT applications, operations, service, and support organisations in a global business Data migration tools processing (DMF), analysis and Microsoft LCS management tools Experience in managing DevOps projects in an Agile environment Desirable Implementing and supporting Microsoft D365 solutions, Microsoft Power Platform solutions and Microsoft Data solutions (Data Lake, Data Factory, Data Warehouse) MS SQL DB, TSQL language, ETL, SSRS, SSIS Experience Dataverse, Common Data Services, Synapse Experience Strong communication skills with a proven ability to understand key concepts and communicate effectively with technical staff, business stakeholders and senior management. Proven ability to communicate technical concepts to non technical people to enhance understanding and drive to decisions that lead to positive outcomes Proven ability to collaborate, build relationships and influence individuals at all levels in a matrix management environment (as well as external vendors and service providers) to ensure that segregation and overlapping roles are identified and coordinated Strong organisational skills, the ability to perform under pressure and management of multiple priorities with competing demands for resources Strong analytical, data processing and problem solving skills Proficiency in process formulation and continual improvement and Life Cycle management Problem Solving Takes responsibility to analyse the situation to provide and/or accelerate the solution Innovation & Creativity Shows initiative in work, contributing new solutions or ways of doing things Applied Thinking/Decision Making . click apply for full job details
09/07/2026
Full time
As a D365 and Power Platform Solution Architect, you will be responsible for translating the needs of the business into technical designs which can be moulded into high performing, highly available, extensible, and efficient software systems. The D365 and Power Platform Solution Architect will provide domain expertise across the D365 suite of applications and the Power Platform and will support all technical implementations of the D365 and Power Platform suite of applications and related integrations, especially focussing on the Vista & other company wide initiatives The role will demonstrate core competency in the processes and provide guidance and knowledge to the internal team as well as the 3rd Party SI team on all technical aspects. What You'll Do: Have responsibility for designing solutions that may involve a combination of in-house enterprise-grade solutions and related products across one or more teams and/or third parties. This will involve working with other functions in ETS (Architecture, Infrastructure, Service Delivery, Security, Business Analysis, etc), stakeholder functions 3rd parties who will all be engaged to develop high-level designs. Be responsible for identifying, assessing, and selecting the most appropriate technologies, architectural styles and patterns needed to deliver a software solution, in conjunction with other functions in ETS Assist in diagnosing key constraints and issues within core back-office systems and help drive resolution through a collaborative working approach Have an 'AI first' approach in considering the existing D365 Co Pilots, their application and licensing and how they could simplify or augment business processes Work closely with architects, ETS functions, business analysts and partners to ensure that solutions can be translated into working, high quality solutions and be clearly articulated to the team Work closely with third parties/vendors involved to ensure fitment of the end-to-end solutions Develop strong relationships with Business stakeholders, Product Owners and other Teams; both within ETS and across the organization to guarantee that solution designs map to the requirements of the business and are aligned to the roadmap of partner teams and the wider strategic roadmap of the company Support project and programme management to understand, communicate and manage technical dependencies across platforms and projects Ensure that any non-functional requirements, environmental or technology constraints are captured, considered, and addressed as part of the solution design Assure that Architectural standards are met and that key artefacts are produced and maintained Work with Architects to ensure the continual improvement of the architecture and engineering practices Guide and mentor within the teams you work with, and provide feedback to the line managers around performance and reviews; and seek out and actively promote ideas and techniques in the community - both internally and externally Review, feedback and validate all technical designs and implementation plans of the 3rd party SI / vendors Provide technical knowledge and understand of existing applications, data & integration configuration Own collation and delivery of Control Risks' Non-Functional Requirements to the project Accountable for the assurance of the technical design, system configuration, data structures, projected performance, security, integration, resilience of D365 and Power Platform solutions Accountable for ensuring appropriate resilience is built into the technical design of the solution to maximise availability of platform in accordance with business need Accountable for the identification of all integrations with other systems/services and work with 3rd party SI to accommodate in the D365 solutions Work with the test managers for the assurance of the test strategy and execution to ensure all technical defects are identified and remediated ahead of release into production Proactively identify and highlight all risks and issues with technical transitions. Ensure risks and issues are raised to project leadership team through the appropriate governance and work with 3rd party SI to mitigate. Work with the Delivery Managers concerned to support and resolve post-implementation defects/issues Engage with the design authority on all solution designs, technical specifications and detailed low-level architecture discussions Troubleshoot technical issues encountered during development and/or deployment Ensure Information Security have reviewed and signed off all technical solution designs Support the Service Design and Transition activities to ensure all technical, operations and lifecycle implications of the D365 and Power Platform solutions are considered Review technical and operational documentation associated with the D365 and Power Platform solutions Provide support to the service transition activities to ensure smooth transition of technical platforms from development into production Power Platform: Ensure existing Power Platform projects are supported (Power Automate, Power BI, Power Apps), engage in understanding new requirements and impact on the business flows, focused on the D365 solutions overall architecture Data and Reporting: Represent D365 reporting holistically from all platforms, working with the data engineers and architects to ensure application reporting is delivered as required for the business Provide understanding for the transition of existing legacy platforms as required Work with support teams to deliver timely feature releases and hotfix updates, work with the teams to design and test and schedule CAB releases for the platforms as designed for LCS Who You Are: Proven experience in working with or implementing the D365 suite solutions and the Power Platform, including associated reporting and integration architectures Excellent and proven design capabilities, preferably in a micro-services architecture as well as working with and influencing 3rd parties to develop the right solution Proven experience of helping teams to successfully deliver complex, highly performing and high quality software systems, both from Engineering and Architectural stand points Experience shaping both functional and non functional requirements, ideally within a high volume and geographically dispersed global integrated ERP CRM environment Ability to assess 3rd Party products and technologies, along with being able to evaluate whether to take a build or buy approach Ability to use AI tools like the Co Pilot Studio and D365 Co Pilots in simplifying and/or augmenting business processes, including licence considerations Experienced at effectively communicating technical designs to both technical and non technical audiences; familiar with modelling languages and producing formal design artifacts to convey designs, but is equally comfortable translating them into a higher level view Experience of the full software development lifecycle, along with an appreciation of quality assurance, continuous integration/delivery, and the benefits of automation Experience and understanding of Agile practices and the ability to gauge the appropriate amount of up front design that will be required to ensure the team can build, but are not overly restricted or constrained by the design should changes be required Excellent communication and influencing skills, being able to adapt according to target audience. Strategic thinking, delivering artefacts such as future state architectures and roadmaps that consider the wider and longer term implications while maintaining pragmatism Appropriate planning to support the delivery of core capabilities in a fast paced environment IT applications, operations, service, and support organisations in a global business Data migration tools processing (DMF), analysis and Microsoft LCS management tools Experience in managing DevOps projects in an Agile environment Desirable Implementing and supporting Microsoft D365 solutions, Microsoft Power Platform solutions and Microsoft Data solutions (Data Lake, Data Factory, Data Warehouse) MS SQL DB, TSQL language, ETL, SSRS, SSIS Experience Dataverse, Common Data Services, Synapse Experience Strong communication skills with a proven ability to understand key concepts and communicate effectively with technical staff, business stakeholders and senior management. Proven ability to communicate technical concepts to non technical people to enhance understanding and drive to decisions that lead to positive outcomes Proven ability to collaborate, build relationships and influence individuals at all levels in a matrix management environment (as well as external vendors and service providers) to ensure that segregation and overlapping roles are identified and coordinated Strong organisational skills, the ability to perform under pressure and management of multiple priorities with competing demands for resources Strong analytical, data processing and problem solving skills Proficiency in process formulation and continual improvement and Life Cycle management Problem Solving Takes responsibility to analyse the situation to provide and/or accelerate the solution Innovation & Creativity Shows initiative in work, contributing new solutions or ways of doing things Applied Thinking/Decision Making . click apply for full job details
4C Strategies
Staff Engineer (Tech Lead), Full-Stack
4C Strategies Warminster, Wiltshire
Who we are 4C Strategies builds organisational readiness and military training management software for clients in over 70 countries. Our flagship product, Exonaut , is used by NATO and allied forces to plan, run and evaluate exercises in real time. Our consultants and engineers work alongside armed forces across the UK, Europe, North America and beyond to deliver training and exercise management solutions. Your Role Much of this hasn't been designed yet - and that's the point. We're connecting Exonaut to a fast-growing landscape of systems - a data lakehouse, customer ERP platforms, optimisation engines and partner platforms - on one of the most significant training transformation programmes in UK defence, and many of the hard problems are still open. We want a Staff Engineer to act as technical lead for the team: a full-stack engineer whose centre of gravity is backend and integration work, who is energised by that ambiguity and can take a vaguely-defined need, shape it with the team, and build it across the stack. You'll lead through influence rather than formal authority, partnering closely with our Engineering Managers and Product Managers. You'll own and evolve parts of the Exonaut platform itself, not just wire systems together - product engineering at the seams of several moving parts, from the services and APIs underneath to the interfaces people use. There's a clear programme direction and a strong team around you; within that, scope will shift and you'll have the autonomy to make the calls that matter. This is a Staff role with real ownership. You'll lead substantial pieces of work end-to-end - designing, choosing the right patterns, and seeing them through to production - and steward the technical direction across the team: the architecture, the standards, the tools, and how we test and observe what we build. You'll still spend meaningful time hands on in the code, with the balance gradually tilting toward leadership - your impact growing through the design sessions you lead, the engineers you mentor, and the architecture you shape across data, integrations and APIs. Day to day you'll collaborate with other engineers, project managers and designers on the programme, with senior stakeholders on the customer side, and with peers across the wider 4C engineering organisation - where the IC track is treated as a first class career path alongside management. What you'll do Hold the technical vision for our work on the programme, in close partnership with Engineering Management, Product and Delivery - and stay close enough to the code to lead by example. Figure out and build how Exonaut talks to everything around it - a data lakehouse, customer ERP systems, optimisation engines and partner platforms - often from a rough idea rather than a finished spec, reading and writing data reliably with maintainability, observability and security designed in from the start. Build full stack features on the Exonaut platform - the backend services and APIs, and the user facing interfaces on top of them - so the systems you connect are matched by interfaces people can actually use. Work across a modern stack - Java and SQL on the backend, Angular on the front end, plus pipeline and data tooling - making real architecture calls rather than inheriting someone else's, so judgement and pragmatism matter more than experience with any one tool. Introduce event driven and change data capture (CDC) patterns where they keep data flowing in near real time. Lead design sessions and steward the architecture across data, integrations and APIs - driving simplicity and sustainability so the calls we make today still serve the programme years from now. Help raise our engineering standards around code quality, automated testing, CI/CD and observability - building the pipelines and test automation that let us ship changes safely and often, with quality and operability treated as first class engineering concerns, not an afterthought. Mentor and coach engineers across the team - not just juniors - mentoring Senior Engineers toward Staff level scope, and help grow our full stack and integration engineering practice inside 4C. Represent engineering thoughtfully with customers, partners and 4C peers - presenting technical work externally and making sure the engineering perspective has a strong voice in cross functional and customer settings. Work directly with stakeholders on both sides - our own project managers, designers and engineers, and the customer's technical and non technical people - drawing out what's really needed, explaining technical trade offs in plain language, and making sure what we build genuinely serves the people who use it. About you An experienced full stack engineer who still enjoys writing code, with several years operating at Senior Engineer level or above and a track record of guiding non trivial technical work across a team or cluster of teams. Your centre of gravity is backend and data, and you're comfortable working up the stack into the user facing layer - so this suits a backend leaning full stack engineer rather than a front end specialist. Comfortable building backend services and APIs (REST and/or event based), integrating with third party systems such as ERP platforms, data stores and external engines, and building the front end on top - with a good grasp of integration patterns, authentication and performance. Strong Java and SQL, with working familiarity with Angular (or a comparable modern front end framework). We care more about depth and judgement than about an exact match - if you're strong in a neighbouring backend language and willing to work in Java, we'd still like to hear from you. You treat version control, code review, automated testing and CI/CD as part of building, not a separate phase. Comfortable being a team's technical point of reference - you lead through influence, partnership and consistently good judgement. Energised rather than unsettled by ambiguity: you can pick up a new stack quickly, you're happy to define the problem rather than only solve a specified one, and you make sound calls when requirements are still moving. We care more about that than about any specific technology you already know. Sound judgement around system and data design - including integrating with a data warehouse / lakehouse - and good instincts for when to use streaming or event driven approaches versus batch. Pragmatic about quality: you instrument what you build and care as much about how it runs in production as how it looks in code review. A strong communicator who can hold a technical conversation with engineers and a plain language one with project managers, designers and senior customer stakeholders - internal and external, including in regulated environments. A mentor who lifts the people around you and spreads good practice - you can point to engineers whose growth you've helped shape. Fluent written and spoken English, as required for security cleared defence work and for clear communication with UK customer stakeholders. This role requires the successful candidate to be a UK national and eligible to obtain UK Security Clearance (SC). Candidates who already hold current UK SC clearance will be at an advantage; however, we also welcome applications from individuals who meet the eligibility requirements and are willing to undergo the SC clearance process. A genuine interest in our mission - software that helps armed forces, public safety and resilience organisations train, prepare, and respond. If you don't tick every box but recognise yourself in much of the above, please apply anyway - we'd genuinely like to hear from you. What you can expect from 4C Strategies Warminster based, with hybrid working - typically around three days a week on site at our office or a customer site. Some of the work needs to be done on site, and the exact pattern can vary with the programme's needs, but we're supportive of flexibility where the work allows. Easily commutable from Bath, Salisbury, Trowbridge and the surrounding area. Competitive salary, reviewed annually Pension Scheme with 5% employer contribution Private healthcare including dental Enhanced family leave (maternity, paternity and adoption) 25 days holidays (plus bank holidays) Life Assurance Cycle to work scheme Work Extras Discounts at over 80 retailers Company social events Why Join 4C Strategies If you're happiest when the path isn't drawn yet, this is a rare chance to own hard, open problems on a large, multi year programme - real scale, real production systems, and the freedom to shape how they're built, with a collaborative team alongside you. You'll work with experienced engineers and military specialists, with the individual contributor track valued as highly as management, so you can grow without leaving the code behind. The work matters: what you build helps armed forces, public safety and resilience organisations train, prepare, and respond. If you want Staff level ownership on systems that are used in earnest - not a backlog ticket factory - this is that role. Application Process Interested candidates are invited to submit their CV. A short cover note on your experience and motivation is welcome but not required. We review applications on a rolling basis. The process starts with a behavioural screening interview with the hiring manager; candidates who progress go through a full interview loop that, for this Staff full stack role, includes a hands on programming session (our stack is Java and Angular . click apply for full job details
05/07/2026
Full time
Who we are 4C Strategies builds organisational readiness and military training management software for clients in over 70 countries. Our flagship product, Exonaut , is used by NATO and allied forces to plan, run and evaluate exercises in real time. Our consultants and engineers work alongside armed forces across the UK, Europe, North America and beyond to deliver training and exercise management solutions. Your Role Much of this hasn't been designed yet - and that's the point. We're connecting Exonaut to a fast-growing landscape of systems - a data lakehouse, customer ERP platforms, optimisation engines and partner platforms - on one of the most significant training transformation programmes in UK defence, and many of the hard problems are still open. We want a Staff Engineer to act as technical lead for the team: a full-stack engineer whose centre of gravity is backend and integration work, who is energised by that ambiguity and can take a vaguely-defined need, shape it with the team, and build it across the stack. You'll lead through influence rather than formal authority, partnering closely with our Engineering Managers and Product Managers. You'll own and evolve parts of the Exonaut platform itself, not just wire systems together - product engineering at the seams of several moving parts, from the services and APIs underneath to the interfaces people use. There's a clear programme direction and a strong team around you; within that, scope will shift and you'll have the autonomy to make the calls that matter. This is a Staff role with real ownership. You'll lead substantial pieces of work end-to-end - designing, choosing the right patterns, and seeing them through to production - and steward the technical direction across the team: the architecture, the standards, the tools, and how we test and observe what we build. You'll still spend meaningful time hands on in the code, with the balance gradually tilting toward leadership - your impact growing through the design sessions you lead, the engineers you mentor, and the architecture you shape across data, integrations and APIs. Day to day you'll collaborate with other engineers, project managers and designers on the programme, with senior stakeholders on the customer side, and with peers across the wider 4C engineering organisation - where the IC track is treated as a first class career path alongside management. What you'll do Hold the technical vision for our work on the programme, in close partnership with Engineering Management, Product and Delivery - and stay close enough to the code to lead by example. Figure out and build how Exonaut talks to everything around it - a data lakehouse, customer ERP systems, optimisation engines and partner platforms - often from a rough idea rather than a finished spec, reading and writing data reliably with maintainability, observability and security designed in from the start. Build full stack features on the Exonaut platform - the backend services and APIs, and the user facing interfaces on top of them - so the systems you connect are matched by interfaces people can actually use. Work across a modern stack - Java and SQL on the backend, Angular on the front end, plus pipeline and data tooling - making real architecture calls rather than inheriting someone else's, so judgement and pragmatism matter more than experience with any one tool. Introduce event driven and change data capture (CDC) patterns where they keep data flowing in near real time. Lead design sessions and steward the architecture across data, integrations and APIs - driving simplicity and sustainability so the calls we make today still serve the programme years from now. Help raise our engineering standards around code quality, automated testing, CI/CD and observability - building the pipelines and test automation that let us ship changes safely and often, with quality and operability treated as first class engineering concerns, not an afterthought. Mentor and coach engineers across the team - not just juniors - mentoring Senior Engineers toward Staff level scope, and help grow our full stack and integration engineering practice inside 4C. Represent engineering thoughtfully with customers, partners and 4C peers - presenting technical work externally and making sure the engineering perspective has a strong voice in cross functional and customer settings. Work directly with stakeholders on both sides - our own project managers, designers and engineers, and the customer's technical and non technical people - drawing out what's really needed, explaining technical trade offs in plain language, and making sure what we build genuinely serves the people who use it. About you An experienced full stack engineer who still enjoys writing code, with several years operating at Senior Engineer level or above and a track record of guiding non trivial technical work across a team or cluster of teams. Your centre of gravity is backend and data, and you're comfortable working up the stack into the user facing layer - so this suits a backend leaning full stack engineer rather than a front end specialist. Comfortable building backend services and APIs (REST and/or event based), integrating with third party systems such as ERP platforms, data stores and external engines, and building the front end on top - with a good grasp of integration patterns, authentication and performance. Strong Java and SQL, with working familiarity with Angular (or a comparable modern front end framework). We care more about depth and judgement than about an exact match - if you're strong in a neighbouring backend language and willing to work in Java, we'd still like to hear from you. You treat version control, code review, automated testing and CI/CD as part of building, not a separate phase. Comfortable being a team's technical point of reference - you lead through influence, partnership and consistently good judgement. Energised rather than unsettled by ambiguity: you can pick up a new stack quickly, you're happy to define the problem rather than only solve a specified one, and you make sound calls when requirements are still moving. We care more about that than about any specific technology you already know. Sound judgement around system and data design - including integrating with a data warehouse / lakehouse - and good instincts for when to use streaming or event driven approaches versus batch. Pragmatic about quality: you instrument what you build and care as much about how it runs in production as how it looks in code review. A strong communicator who can hold a technical conversation with engineers and a plain language one with project managers, designers and senior customer stakeholders - internal and external, including in regulated environments. A mentor who lifts the people around you and spreads good practice - you can point to engineers whose growth you've helped shape. Fluent written and spoken English, as required for security cleared defence work and for clear communication with UK customer stakeholders. This role requires the successful candidate to be a UK national and eligible to obtain UK Security Clearance (SC). Candidates who already hold current UK SC clearance will be at an advantage; however, we also welcome applications from individuals who meet the eligibility requirements and are willing to undergo the SC clearance process. A genuine interest in our mission - software that helps armed forces, public safety and resilience organisations train, prepare, and respond. If you don't tick every box but recognise yourself in much of the above, please apply anyway - we'd genuinely like to hear from you. What you can expect from 4C Strategies Warminster based, with hybrid working - typically around three days a week on site at our office or a customer site. Some of the work needs to be done on site, and the exact pattern can vary with the programme's needs, but we're supportive of flexibility where the work allows. Easily commutable from Bath, Salisbury, Trowbridge and the surrounding area. Competitive salary, reviewed annually Pension Scheme with 5% employer contribution Private healthcare including dental Enhanced family leave (maternity, paternity and adoption) 25 days holidays (plus bank holidays) Life Assurance Cycle to work scheme Work Extras Discounts at over 80 retailers Company social events Why Join 4C Strategies If you're happiest when the path isn't drawn yet, this is a rare chance to own hard, open problems on a large, multi year programme - real scale, real production systems, and the freedom to shape how they're built, with a collaborative team alongside you. You'll work with experienced engineers and military specialists, with the individual contributor track valued as highly as management, so you can grow without leaving the code behind. The work matters: what you build helps armed forces, public safety and resilience organisations train, prepare, and respond. If you want Staff level ownership on systems that are used in earnest - not a backlog ticket factory - this is that role. Application Process Interested candidates are invited to submit their CV. A short cover note on your experience and motivation is welcome but not required. We review applications on a rolling basis. The process starts with a behavioural screening interview with the hiring manager; candidates who progress go through a full interview loop that, for this Staff full stack role, includes a hands on programming session (our stack is Java and Angular . click apply for full job details

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