Hybrid, within commuting distance of Birmingham, Bristol, London, Blackburn, Redcar or Doncaster £56,667 + benefits (+ London weighting, if applicable) We are seeking a motivated and enthusiastic Senior Data Engineer to join our TED team and play an important role in building and maintaining the technical infrastructure that supports the NIoT and TED. About Us The National Institute of Teaching (NIoT) has an unswerving commitment to high-quality, evidence-informed teacher education, and is on a mission to improve teacher and leader development across the education system. A key part of that mission is our Teacher Education Dataset (TED), an ambitious data and research initiative focused on building better evidence about teacher development and what makes teaching impactful. By bringing together education, research and digital infrastructure, TED will support new insight into how teachers develop, improve and thrive across their careers. About the Role We are seeking a motivated and enthusiastic Senior Data Engineer to join our TED team and play an important role in building and maintaining the technical infrastructure that supports the NIoT and TED. Working at the intersection of data engineering, data and research, the postholder will help develop secure, reliable and scalable systems that enable robust analysis and contribute to high-quality, evidence-informed improvement across the sector. Corporate Responsibilities To ensure that the responsibilities of the role are carried out in a way which reflects the mission and the values of the NIoT. To be aware of and observe all policies, procedures, working practices and regulations, and in particular to comply with policies relating to Equal Opportunities, Health and Safety, Confidentiality, Data Protection and Financial Regulations, reporting any concerns to an appropriate person. To comply with all reasonable management requests. Key Responsibilities Design, build and maintain Azure-based data pipelines to support the ingestion, transformation and curation of TED datasets. Develop and maintain Azure SQL databases and research-facing schemas across raw, transformed and curated data layers. Write efficient, secure and well-structured T-SQL to support ingestion, validation, transformation and optimisation. Contribute to the development and ongoing refinement of a Common Data Model across multiple education data providers. Integrate and harmonise data from school MIS and EdTech platforms, including Bromcom, Arbor and Wonde. Build and maintain robust validation, logging, auditing and reconciliation processes to improve data quality and trust. Support secure data handling, including pseudonymisation, access control and compliance with data-sharing agreements and security requirements. Work closely with analysts, researchers, architects and partners to deliver scalable, analytics-ready data solutions. Contribute to agile planning, technical design, documentation and operational handover. Essential Criteria Proven experience in data engineering, including building and maintaining production-grade data pipelines. Strong experience with Azure Data Factory and Azure SQL Server. Strong T-SQL skills, including schema design, stored procedures and query optimisation. Experience implementing validation, monitoring, logging and reconciliation controls within data pipelines. Strong understanding of secure data architecture and the handling of sensitive personal data. Experience with Azure DevOps, version control and CI/CD practices. Strong analytical and problem solving skills, with excellent attention to detail. Ability to communicate effectively and work successfully in a multidisciplinary team. Desirable Criteria Experience with education datasets, school MIS systems or EdTech platforms. Experience with common data models, longitudinal datasets or research-oriented data infrastructure. Experience with Power BI, Fabric or related analytics technologies. Experience in a public sector, education or high-governance data environment. Interest in applying data engineering to improve education and teacher development. Key Benefits Generous Annual Leave - 27 days' holiday a year (plus 8 bank holidays). Flexible Working - we offer flexible start and end working times, with hybrid working in place for all roles. Pension - Entry to the Local Government Pension Scheme. Salary Sacrifice Schemes - we offer salary sacrifice schemes for bikes, cars and tech! Lifestyle Benefits - We offer discounts on gyms, cinema, retail and much more! Parenthood Leave - We offer above the statutory minimum for maternity, adoption and paternity leave. Working Environment - We have a stimulating, supportive and rewarding working environment with a dedicated team of likeminded professionals. Support: Our Employee Assistance Programme (EAP) provides confidential support for employees on personal or work-related matters. Development: We fully support the development of our staff and ensure that you have high level of continuous professional development. To ensure a fair and robust selection process, we expect all application responses to be based on your own original thoughts, skills and experience. Our system includes functionality to identify AI-generated content, and applications where responses appear not to be the candidate's own work may be disregarded. This post requires a satisfactory enhanced disclosure from the Disclosure and Barring Service (DBS) with a Children's Barred List Check and Occupational Health Check is required as a condition of employment.
26/07/2026
Full time
Hybrid, within commuting distance of Birmingham, Bristol, London, Blackburn, Redcar or Doncaster £56,667 + benefits (+ London weighting, if applicable) We are seeking a motivated and enthusiastic Senior Data Engineer to join our TED team and play an important role in building and maintaining the technical infrastructure that supports the NIoT and TED. About Us The National Institute of Teaching (NIoT) has an unswerving commitment to high-quality, evidence-informed teacher education, and is on a mission to improve teacher and leader development across the education system. A key part of that mission is our Teacher Education Dataset (TED), an ambitious data and research initiative focused on building better evidence about teacher development and what makes teaching impactful. By bringing together education, research and digital infrastructure, TED will support new insight into how teachers develop, improve and thrive across their careers. About the Role We are seeking a motivated and enthusiastic Senior Data Engineer to join our TED team and play an important role in building and maintaining the technical infrastructure that supports the NIoT and TED. Working at the intersection of data engineering, data and research, the postholder will help develop secure, reliable and scalable systems that enable robust analysis and contribute to high-quality, evidence-informed improvement across the sector. Corporate Responsibilities To ensure that the responsibilities of the role are carried out in a way which reflects the mission and the values of the NIoT. To be aware of and observe all policies, procedures, working practices and regulations, and in particular to comply with policies relating to Equal Opportunities, Health and Safety, Confidentiality, Data Protection and Financial Regulations, reporting any concerns to an appropriate person. To comply with all reasonable management requests. Key Responsibilities Design, build and maintain Azure-based data pipelines to support the ingestion, transformation and curation of TED datasets. Develop and maintain Azure SQL databases and research-facing schemas across raw, transformed and curated data layers. Write efficient, secure and well-structured T-SQL to support ingestion, validation, transformation and optimisation. Contribute to the development and ongoing refinement of a Common Data Model across multiple education data providers. Integrate and harmonise data from school MIS and EdTech platforms, including Bromcom, Arbor and Wonde. Build and maintain robust validation, logging, auditing and reconciliation processes to improve data quality and trust. Support secure data handling, including pseudonymisation, access control and compliance with data-sharing agreements and security requirements. Work closely with analysts, researchers, architects and partners to deliver scalable, analytics-ready data solutions. Contribute to agile planning, technical design, documentation and operational handover. Essential Criteria Proven experience in data engineering, including building and maintaining production-grade data pipelines. Strong experience with Azure Data Factory and Azure SQL Server. Strong T-SQL skills, including schema design, stored procedures and query optimisation. Experience implementing validation, monitoring, logging and reconciliation controls within data pipelines. Strong understanding of secure data architecture and the handling of sensitive personal data. Experience with Azure DevOps, version control and CI/CD practices. Strong analytical and problem solving skills, with excellent attention to detail. Ability to communicate effectively and work successfully in a multidisciplinary team. Desirable Criteria Experience with education datasets, school MIS systems or EdTech platforms. Experience with common data models, longitudinal datasets or research-oriented data infrastructure. Experience with Power BI, Fabric or related analytics technologies. Experience in a public sector, education or high-governance data environment. Interest in applying data engineering to improve education and teacher development. Key Benefits Generous Annual Leave - 27 days' holiday a year (plus 8 bank holidays). Flexible Working - we offer flexible start and end working times, with hybrid working in place for all roles. Pension - Entry to the Local Government Pension Scheme. Salary Sacrifice Schemes - we offer salary sacrifice schemes for bikes, cars and tech! Lifestyle Benefits - We offer discounts on gyms, cinema, retail and much more! Parenthood Leave - We offer above the statutory minimum for maternity, adoption and paternity leave. Working Environment - We have a stimulating, supportive and rewarding working environment with a dedicated team of likeminded professionals. Support: Our Employee Assistance Programme (EAP) provides confidential support for employees on personal or work-related matters. Development: We fully support the development of our staff and ensure that you have high level of continuous professional development. To ensure a fair and robust selection process, we expect all application responses to be based on your own original thoughts, skills and experience. Our system includes functionality to identify AI-generated content, and applications where responses appear not to be the candidate's own work may be disregarded. This post requires a satisfactory enhanced disclosure from the Disclosure and Barring Service (DBS) with a Children's Barred List Check and Occupational Health Check is required as a condition of employment.
Overview Location: Remote (with monthly travel into central London and some other travel required) Salary: £40,000 to £43,000 per annum depending on experience and qualifications, with an additional £5,000 budget for the duration of the project for professional and personal development ContractType: Fixed Term (30 months) Basis: Full Time ClosingDate: 23.59 hours BST on Thursday 23 July 2026 InterviewDate: To be confirmed Reference: R260036 ReleaseDate: Monday 13 July 2026 This Knowledge Transfer Partnership (KTP) project between Aston University and Modular Data Ltd will build an open-source platform that uses AI tools to predict outcomes such as reoffending rates and to improve supply chains. You will take day-to-day responsibility for developing the platform core and reusable "domain packs", working with Modular Data's team and Aston University academic supervisors. What you will gain You will work at the forefront of applied AI, building a major open-source platform with real-world impact in criminal justice, public safety, and supply chain sectors. You will design, deliver and launch production-grade AI systems, guided by leading Aston University experts. This role provides the chance to lead technical innovation, publish joint research, and help set new industry standards in secure and ethical AI. You will have access to a personal development/training budget of £2,000 a year to build further skills relevant to your future career. This KTP is a great opportunity for someone keen to plan and deliver business change. You will work with senior University academics and senior company staff on a commercial project which puts the latest research into practice. Aston University: You will work in a project team with Prof Abdul Sadka and Dr Zhuangzhuang Dai from Aston University and the Senior Team members at Modular Data with further support from an Innovate UK Knowledge Transfer Adviser. Location and travel Location: You will be based predominantly remotely as Modular Data operate as a virtual company. You will be required to attend regular monthly meetings in central London (most likely Tech UK HQ) and travel for training and occasional visits to Aston University where you will have access to facilities in central Birmingham. Some travel to other sites and training may also be required. Candidate Profile Minimum Masters degree in Computer Science, Data Science, or related subject, strong focus on AI/ Data Analytics. What we are looking for Skills/ experience required for this exciting role include: Proficiency in multimodal data analytics, predictive modelling, and human-in-the-loop AI. Demonstrable experience with cloud platforms and microservices architecture for multi-cloud systems. Knowledge of, and demonstrable experience in, secure data access in complex cloud architectures, knowledge graphs and semantic reasoning. Extensive knowledge and practical experience in advanced machine learning models (e.g. deep learning) within the context of cross-modal pattern detection and predictive analytics (e.g. risk scoring) Programming experience in Python, Go, and/or Java, with familiarity in Scikit-image, TensorFlow, or PyTorch. Feature extraction skills relevant to AI model development, RAG architectures, and Human-in-the-Loop approaches. Strong problem-solving ability and adaptability for complex challenges in data governance and AI safety. Clear communicator with both technical and non-technical stakeholders in academia and industry. Proactive approach to learning and use of professional development resources. Analytical thinker, able to develop and explain robust technical solutions. Knowledge of open-source software development and modular frameworks. Certification in ethical AI or cloud architecture. Commitment to societal impact and high standards in ethical data practices. PhD in relevant area. Attributes Problem-solving ability and adaptability for complex challenges in data governance and AI safety. Communicate clearly to work across academic and industry teams Analytical thinker who solves complex technical problems Proactive learner who makes the most of development opportunities Communicates well with both technical and non-technical stakeholders Proficiency in technical writing and reporting to multiple stakeholders and audiences. Benefits and support £2,000 per annum for personal and professional development for the duration of the project KTP Associates lead strategic projects, bridging the academic and business worlds, which can enhance and fast-track their career. You will also benefit from expert coaching and mentoring. 60% of our KTP associates are offered employment by their host companies at the end of the KTP. For informal enquiries about this role please contact Dr Zhuangzhuang Dai, Aston University Email: Please visit our website for further information and to apply online. As users of the disability confident scheme, we guarantee to interview all disabled applicants who meet the minimum criteria for the vacancy. Previous applicants need not apply. This role is likely to qualify for endorsement under the Endorsed Funder route of the Global Talent visa. This visa is for talented or promising individuals in academia or research in fields such as science, engineering, medicine, social sciences, or humanities. It is an Innovate UK requirement that candidates hold a visa or immigration permission to cover the full duration of the contract. The successful candidate is therefore expected to apply for a visa as necessary in line with their contract duration. The University celebrates the rights of freedom of speech and academic freedom and is committed to maintaining and protecting these rights within the law. An offer to work at Aston University will never be denied on the basis of an individual's lawful expression of their beliefs, ideas or opinions. Aston University is an equal opportunities employer and welcomes applications from all sections of the community. It promotes equality and diversity in all aspects of its work. We strive to have robust inclusivity strategies in place, to encourage colleagues to have the confidence and freedom to be themselves in the workplace. For more information, visit: Guidance on AI-Assisted Applications We recognise the value of flexible working. Please contact the recruiting manager to discuss what flexible working options are available for particular roles. If you require the job details document or an application form in an alternative format please contact the recruitment team at
26/07/2026
Full time
Overview Location: Remote (with monthly travel into central London and some other travel required) Salary: £40,000 to £43,000 per annum depending on experience and qualifications, with an additional £5,000 budget for the duration of the project for professional and personal development ContractType: Fixed Term (30 months) Basis: Full Time ClosingDate: 23.59 hours BST on Thursday 23 July 2026 InterviewDate: To be confirmed Reference: R260036 ReleaseDate: Monday 13 July 2026 This Knowledge Transfer Partnership (KTP) project between Aston University and Modular Data Ltd will build an open-source platform that uses AI tools to predict outcomes such as reoffending rates and to improve supply chains. You will take day-to-day responsibility for developing the platform core and reusable "domain packs", working with Modular Data's team and Aston University academic supervisors. What you will gain You will work at the forefront of applied AI, building a major open-source platform with real-world impact in criminal justice, public safety, and supply chain sectors. You will design, deliver and launch production-grade AI systems, guided by leading Aston University experts. This role provides the chance to lead technical innovation, publish joint research, and help set new industry standards in secure and ethical AI. You will have access to a personal development/training budget of £2,000 a year to build further skills relevant to your future career. This KTP is a great opportunity for someone keen to plan and deliver business change. You will work with senior University academics and senior company staff on a commercial project which puts the latest research into practice. Aston University: You will work in a project team with Prof Abdul Sadka and Dr Zhuangzhuang Dai from Aston University and the Senior Team members at Modular Data with further support from an Innovate UK Knowledge Transfer Adviser. Location and travel Location: You will be based predominantly remotely as Modular Data operate as a virtual company. You will be required to attend regular monthly meetings in central London (most likely Tech UK HQ) and travel for training and occasional visits to Aston University where you will have access to facilities in central Birmingham. Some travel to other sites and training may also be required. Candidate Profile Minimum Masters degree in Computer Science, Data Science, or related subject, strong focus on AI/ Data Analytics. What we are looking for Skills/ experience required for this exciting role include: Proficiency in multimodal data analytics, predictive modelling, and human-in-the-loop AI. Demonstrable experience with cloud platforms and microservices architecture for multi-cloud systems. Knowledge of, and demonstrable experience in, secure data access in complex cloud architectures, knowledge graphs and semantic reasoning. Extensive knowledge and practical experience in advanced machine learning models (e.g. deep learning) within the context of cross-modal pattern detection and predictive analytics (e.g. risk scoring) Programming experience in Python, Go, and/or Java, with familiarity in Scikit-image, TensorFlow, or PyTorch. Feature extraction skills relevant to AI model development, RAG architectures, and Human-in-the-Loop approaches. Strong problem-solving ability and adaptability for complex challenges in data governance and AI safety. Clear communicator with both technical and non-technical stakeholders in academia and industry. Proactive approach to learning and use of professional development resources. Analytical thinker, able to develop and explain robust technical solutions. Knowledge of open-source software development and modular frameworks. Certification in ethical AI or cloud architecture. Commitment to societal impact and high standards in ethical data practices. PhD in relevant area. Attributes Problem-solving ability and adaptability for complex challenges in data governance and AI safety. Communicate clearly to work across academic and industry teams Analytical thinker who solves complex technical problems Proactive learner who makes the most of development opportunities Communicates well with both technical and non-technical stakeholders Proficiency in technical writing and reporting to multiple stakeholders and audiences. Benefits and support £2,000 per annum for personal and professional development for the duration of the project KTP Associates lead strategic projects, bridging the academic and business worlds, which can enhance and fast-track their career. You will also benefit from expert coaching and mentoring. 60% of our KTP associates are offered employment by their host companies at the end of the KTP. For informal enquiries about this role please contact Dr Zhuangzhuang Dai, Aston University Email: Please visit our website for further information and to apply online. As users of the disability confident scheme, we guarantee to interview all disabled applicants who meet the minimum criteria for the vacancy. Previous applicants need not apply. This role is likely to qualify for endorsement under the Endorsed Funder route of the Global Talent visa. This visa is for talented or promising individuals in academia or research in fields such as science, engineering, medicine, social sciences, or humanities. It is an Innovate UK requirement that candidates hold a visa or immigration permission to cover the full duration of the contract. The successful candidate is therefore expected to apply for a visa as necessary in line with their contract duration. The University celebrates the rights of freedom of speech and academic freedom and is committed to maintaining and protecting these rights within the law. An offer to work at Aston University will never be denied on the basis of an individual's lawful expression of their beliefs, ideas or opinions. Aston University is an equal opportunities employer and welcomes applications from all sections of the community. It promotes equality and diversity in all aspects of its work. We strive to have robust inclusivity strategies in place, to encourage colleagues to have the confidence and freedom to be themselves in the workplace. For more information, visit: Guidance on AI-Assisted Applications We recognise the value of flexible working. Please contact the recruiting manager to discuss what flexible working options are available for particular roles. If you require the job details document or an application form in an alternative format please contact the recruitment team at
Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. The role The Production Management organization provides business critical application management and support for our CIO Production Management partners and lines of business (LOB). Join our Stability and Resiliency Governance team as an Analyst at the AVP level - a key supporting role within the broader Optimization and Enablement function dedicated to strengthening our CIO Production Management landscape. This position offers an excellent opportunity to learn and contribute to critical stability and resiliency governance initiatives and frameworks. We are seeking an enthusiastic and detail-oriented individual who is eager to build their foundational knowledge of Production Management and Risk Management within the complex and highly regulated environment of the banking sector. You will work closely with senior team members, gaining hands on experience and developing the skills needed to grow your career in technology governance. Responsibilities Reporting & Metrics Support: Assist in the generation and preparation of monthly stability metrics and reports for diverse business units, working under the guidance of senior analysts. KPI Monitoring: Support the monitoring of key performance indicators (KPIs) for application stability, helping to track trends and flag anomalies for review. Tooling & Automation: Learn and utilize artificial intelligence and automation tools to help reduce manual toil and enhance team efficiency. Best Practice Contribution: Contribute to the identification and documentation of best practices that support continuous service improvement across the technology landscape. Data Analysis Support: Assist in thematic analysis of stability data, helping to surface key trends and supporting the formulation of actionable recommendations under senior oversight. Program Participation: Support the Focus and Intensive Care application improvement programs by contributing to data gathering, tracking, and reporting activities. Attestation & Review Assistance: Assist in annual attestation and review processes for critical artifacts, such as the Change Risk Index and Market Event Management. Data Quality Initiatives: Contribute to initiatives focused on improving data quality and streamlining processes. Continuous Improvement: Participate in continuous improvement activities that enhance stability governance products and frameworks, bringing fresh ideas and a learning mindset. Strategy Support: Support the team in advancing the Production Management Strategy through research, documentation, and coordination tasks. Project & Ad-Hoc Support: Assist with projects and ad-hoc requests as required, developing broad exposure across the team's portfolio of work. Required Skills Collaboration & Communication: Ability to work effectively within a team environment and communicate clearly with colleagues and stakeholders, both in writing and verbally. Analytical Thinking: Foundational analytical and problem-solving skills, with a willingness to learn how to identify issues and contribute to effective solutions. Attention to Detail: Strong attention to detail and a commitment to accuracy in all deliverables. Adaptability: Ability to manage shifting priorities and remain effective in a dynamic, fast paced environment. Curiosity & Growth Mindset: Eagerness to learn new processes, tools, and methodologies, and to contribute ideas for improvement. Data Literacy: Working knowledge of data analysis concepts and comfort working with datasets. Exposure to data transformation or reporting tools is a plus. An interest in developing data science skills is welcomed. Technical Proficiency: Proficiency with Microsoft Office Suite (Excel, Word, PowerPoint). Qualifications Bachelor's/University degree or equivalent experience. Some exposure to or interest in IT governance, production support, or risk management within the banking or financial services industry is advantageous but not essential - we are happy to support your development in these areas. Benefits 27 days annual leave (plus bank holidays) A discretionary annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Additional Information Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
26/07/2026
Full time
Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. The role The Production Management organization provides business critical application management and support for our CIO Production Management partners and lines of business (LOB). Join our Stability and Resiliency Governance team as an Analyst at the AVP level - a key supporting role within the broader Optimization and Enablement function dedicated to strengthening our CIO Production Management landscape. This position offers an excellent opportunity to learn and contribute to critical stability and resiliency governance initiatives and frameworks. We are seeking an enthusiastic and detail-oriented individual who is eager to build their foundational knowledge of Production Management and Risk Management within the complex and highly regulated environment of the banking sector. You will work closely with senior team members, gaining hands on experience and developing the skills needed to grow your career in technology governance. Responsibilities Reporting & Metrics Support: Assist in the generation and preparation of monthly stability metrics and reports for diverse business units, working under the guidance of senior analysts. KPI Monitoring: Support the monitoring of key performance indicators (KPIs) for application stability, helping to track trends and flag anomalies for review. Tooling & Automation: Learn and utilize artificial intelligence and automation tools to help reduce manual toil and enhance team efficiency. Best Practice Contribution: Contribute to the identification and documentation of best practices that support continuous service improvement across the technology landscape. Data Analysis Support: Assist in thematic analysis of stability data, helping to surface key trends and supporting the formulation of actionable recommendations under senior oversight. Program Participation: Support the Focus and Intensive Care application improvement programs by contributing to data gathering, tracking, and reporting activities. Attestation & Review Assistance: Assist in annual attestation and review processes for critical artifacts, such as the Change Risk Index and Market Event Management. Data Quality Initiatives: Contribute to initiatives focused on improving data quality and streamlining processes. Continuous Improvement: Participate in continuous improvement activities that enhance stability governance products and frameworks, bringing fresh ideas and a learning mindset. Strategy Support: Support the team in advancing the Production Management Strategy through research, documentation, and coordination tasks. Project & Ad-Hoc Support: Assist with projects and ad-hoc requests as required, developing broad exposure across the team's portfolio of work. Required Skills Collaboration & Communication: Ability to work effectively within a team environment and communicate clearly with colleagues and stakeholders, both in writing and verbally. Analytical Thinking: Foundational analytical and problem-solving skills, with a willingness to learn how to identify issues and contribute to effective solutions. Attention to Detail: Strong attention to detail and a commitment to accuracy in all deliverables. Adaptability: Ability to manage shifting priorities and remain effective in a dynamic, fast paced environment. Curiosity & Growth Mindset: Eagerness to learn new processes, tools, and methodologies, and to contribute ideas for improvement. Data Literacy: Working knowledge of data analysis concepts and comfort working with datasets. Exposure to data transformation or reporting tools is a plus. An interest in developing data science skills is welcomed. Technical Proficiency: Proficiency with Microsoft Office Suite (Excel, Word, PowerPoint). Qualifications Bachelor's/University degree or equivalent experience. Some exposure to or interest in IT governance, production support, or risk management within the banking or financial services industry is advantageous but not essential - we are happy to support your development in these areas. Benefits 27 days annual leave (plus bank holidays) A discretionary annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Additional Information Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
Job Description Data Engineer Role: Data Engineer Location: Newcastle Upon Tyne Salary: TBC - Depending on experience Levels: Senior Analyst, Specialist Hybrid Working: 3 days per week in our Newcastle, Cobalt business park office Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) and declaration of being a British or EU passport holder or hold Indefinite Leave to remain within the UK at the point of application. Note: The above information relates to a specific client requirement About the Team Our Advanced Technology Centre is a hub of innovation where we deliver high quality data and technology services to clients across both the public and private sectors. You'll join a collaborative culture that values diverse thinking, continuous learning, and opportunities for career growth within a global network of experts. If you're looking for a dynamic role that offers hands on experience with modern data technologies and the chance to shape large scale data solutions, this position offers you the opportunity to develop and progress rapidly. Role Overview As a Data Engineer, you will design, build, and maintain scalable data solutions that enable analytics, AI, and operational insights. You'll work alongside client and internal teams to create robust data pipelines, ensure data reliability, and support cloud based architectures that power intelligent decision making. Key Responsibilities Data Pipeline Development Build, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark. Develop and support real time streaming pipelines and event driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using AWS managed services (e.g., Kinesis, MSK, Lambda, Glue). Data Architecture & Standards Contribute to data modelling, data architecture best practices, and modern patterns (e.g., medallion architecture). Ensure data quality, lineage, governance, and security controls are applied consistently. DevOps & Deployment Deploy and maintain data applications using CI/CD tooling (Azure DevOps, GitHub Actions, Jenkins). Use Infrastructure as Code (e.g., Terraform, CloudFormation) to manage cloud environments. Work with container technologies such as Docker and Kubernetes based workloads. Collaboration Work closely with analytics, ML/AI, and product teams to deliver clean, well structured datasets. Participate in code reviews and internal knowledge sharing sessions. Provide guidance to junior engineers where needed. Qualification Core Data Engineering Strong programming proficiency in Java (preferred) or Python. Hands-on experience with at least one of: Kafka, Flink, Spark (Flink/Kafka preferred for streaming). Solid understanding of stream processing concepts (e.g., event time, state, backpressure). Understanding of software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms, ideally AWS, but Azure/GCP also acceptable. Understanding of distributed compute, large-scale data systems, and performance considerations. DevOps & Engineering Practices Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins etc.). Infrastructure as Code (Terraform preferred). Experience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other Requirements Minimum 3 years' experience working on data engineering or large-scale data solutions. Comfortable working in Agile delivery teams. Strong communication skills and ability to collaborate with technical and non technical stakeholders. Desirable Experience in client-facing or consulting environments. Professional cloud or data engineering certifications. Experience mentoring or supporting junior engineers. Background in designing or operating real time, low-latency systems. Locations Newcastle Additional Information Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces . Join Accenture to work at the heart of change. Visit us at .
26/07/2026
Full time
Job Description Data Engineer Role: Data Engineer Location: Newcastle Upon Tyne Salary: TBC - Depending on experience Levels: Senior Analyst, Specialist Hybrid Working: 3 days per week in our Newcastle, Cobalt business park office Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) and declaration of being a British or EU passport holder or hold Indefinite Leave to remain within the UK at the point of application. Note: The above information relates to a specific client requirement About the Team Our Advanced Technology Centre is a hub of innovation where we deliver high quality data and technology services to clients across both the public and private sectors. You'll join a collaborative culture that values diverse thinking, continuous learning, and opportunities for career growth within a global network of experts. If you're looking for a dynamic role that offers hands on experience with modern data technologies and the chance to shape large scale data solutions, this position offers you the opportunity to develop and progress rapidly. Role Overview As a Data Engineer, you will design, build, and maintain scalable data solutions that enable analytics, AI, and operational insights. You'll work alongside client and internal teams to create robust data pipelines, ensure data reliability, and support cloud based architectures that power intelligent decision making. Key Responsibilities Data Pipeline Development Build, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark. Develop and support real time streaming pipelines and event driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using AWS managed services (e.g., Kinesis, MSK, Lambda, Glue). Data Architecture & Standards Contribute to data modelling, data architecture best practices, and modern patterns (e.g., medallion architecture). Ensure data quality, lineage, governance, and security controls are applied consistently. DevOps & Deployment Deploy and maintain data applications using CI/CD tooling (Azure DevOps, GitHub Actions, Jenkins). Use Infrastructure as Code (e.g., Terraform, CloudFormation) to manage cloud environments. Work with container technologies such as Docker and Kubernetes based workloads. Collaboration Work closely with analytics, ML/AI, and product teams to deliver clean, well structured datasets. Participate in code reviews and internal knowledge sharing sessions. Provide guidance to junior engineers where needed. Qualification Core Data Engineering Strong programming proficiency in Java (preferred) or Python. Hands-on experience with at least one of: Kafka, Flink, Spark (Flink/Kafka preferred for streaming). Solid understanding of stream processing concepts (e.g., event time, state, backpressure). Understanding of software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms, ideally AWS, but Azure/GCP also acceptable. Understanding of distributed compute, large-scale data systems, and performance considerations. DevOps & Engineering Practices Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins etc.). Infrastructure as Code (Terraform preferred). Experience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other Requirements Minimum 3 years' experience working on data engineering or large-scale data solutions. Comfortable working in Agile delivery teams. Strong communication skills and ability to collaborate with technical and non technical stakeholders. Desirable Experience in client-facing or consulting environments. Professional cloud or data engineering certifications. Experience mentoring or supporting junior engineers. Background in designing or operating real time, low-latency systems. Locations Newcastle Additional Information Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces . Join Accenture to work at the heart of change. Visit us at .
Security Clearance Requirement This role is suitable for candidates who already hold UK Government Security Clearance (SC), or who are eligible and willing to undergo the SC vetting process (eligibility criteria apply). What you'll do Work alongside experienced engineers and architects to design, build and improve Azure platform foundations (landing zones, connectivity, identity, governance). Deliver infrastructure changes using Infrastructure-as-Code (Terraform and/or Bicep) and contribute to code reviews, testing and quality standards. Build and maintain CI/CD pipelines (Azure DevOps and Git), supporting repeatable, reliable deployments. Support platform operations: troubleshoot connectivity, identity and access, compute and storage issues; assist with patching, upgrades and incident resolution. Help implement Azure networking features such as VNets/subnets, routing, DNS, Private Endpoints, NSGs, firewalls and connectivity to on-premises (VPN/ExpressRoute). Contribute to Azure IaaS and PaaS engineering: VMs, storage, Key Vault, monitoring, App Services, Functions and other common services used in client platforms. Assist with Azure migrations and modernisation activities (assessment, readiness, landing zone preparation, cutover support), working with tooling such as Azure Migrate where appropriate. Produce clear documentation and runbooks, and communicate progress and risks to the team and client stakeholders. What you'll bring Foundational understanding of infrastructure concepts (networking, DNS, routing, load balancing, certificates, OS fundamentals) and how these apply in Azure. Hands on experience (commercial, internship, apprenticeship or personal projects) with Azure services across IaaS and/or PaaS. Working knowledge of DevOps practices: Git, branching, pull requests, automated deployments and basic CI/CD concepts. Some exposure to Infrastructure as Code (Terraform and/or Bicep) and a desire to develop strong engineering discipline beyond just writing templates (debugging, testing, operational readiness). Scripting skills in one or more of PowerShell, Bash or Python to automate repeatable tasks and support troubleshooting. A practical, customer focused mindset and the ability to learn quickly in complex environments. Clear communication: able to explain technical issues and trade offs to both technical and non technical audiences. Nice to have Experience supporting production platforms (monitoring, incident response, problem management, change control). Exposure to hybrid connectivity and on premises environments (Active Directory, DNS, firewalls, proxies). Exposure to migration projects (server, database or application migrations) and tools such as Azure Migrate. Azure certifications such as AZ 900 and/or AZ 104 (or actively working towards them). Experience with Azure Policy, RBAC, Defender for Cloud, Linux, Kubernetes and secure by design practices. Benefits Structured learning and paid certifications with clear pathways to progress into senior engineering and architecture roles. Work on varied client engagements, including regulated environments where quality and security matter. Supportive, collaborative culture with mentoring from experienced practitioners across the global Avanade community. Equal Opportunity Avanade is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
26/07/2026
Full time
Security Clearance Requirement This role is suitable for candidates who already hold UK Government Security Clearance (SC), or who are eligible and willing to undergo the SC vetting process (eligibility criteria apply). What you'll do Work alongside experienced engineers and architects to design, build and improve Azure platform foundations (landing zones, connectivity, identity, governance). Deliver infrastructure changes using Infrastructure-as-Code (Terraform and/or Bicep) and contribute to code reviews, testing and quality standards. Build and maintain CI/CD pipelines (Azure DevOps and Git), supporting repeatable, reliable deployments. Support platform operations: troubleshoot connectivity, identity and access, compute and storage issues; assist with patching, upgrades and incident resolution. Help implement Azure networking features such as VNets/subnets, routing, DNS, Private Endpoints, NSGs, firewalls and connectivity to on-premises (VPN/ExpressRoute). Contribute to Azure IaaS and PaaS engineering: VMs, storage, Key Vault, monitoring, App Services, Functions and other common services used in client platforms. Assist with Azure migrations and modernisation activities (assessment, readiness, landing zone preparation, cutover support), working with tooling such as Azure Migrate where appropriate. Produce clear documentation and runbooks, and communicate progress and risks to the team and client stakeholders. What you'll bring Foundational understanding of infrastructure concepts (networking, DNS, routing, load balancing, certificates, OS fundamentals) and how these apply in Azure. Hands on experience (commercial, internship, apprenticeship or personal projects) with Azure services across IaaS and/or PaaS. Working knowledge of DevOps practices: Git, branching, pull requests, automated deployments and basic CI/CD concepts. Some exposure to Infrastructure as Code (Terraform and/or Bicep) and a desire to develop strong engineering discipline beyond just writing templates (debugging, testing, operational readiness). Scripting skills in one or more of PowerShell, Bash or Python to automate repeatable tasks and support troubleshooting. A practical, customer focused mindset and the ability to learn quickly in complex environments. Clear communication: able to explain technical issues and trade offs to both technical and non technical audiences. Nice to have Experience supporting production platforms (monitoring, incident response, problem management, change control). Exposure to hybrid connectivity and on premises environments (Active Directory, DNS, firewalls, proxies). Exposure to migration projects (server, database or application migrations) and tools such as Azure Migrate. Azure certifications such as AZ 900 and/or AZ 104 (or actively working towards them). Experience with Azure Policy, RBAC, Defender for Cloud, Linux, Kubernetes and secure by design practices. Benefits Structured learning and paid certifications with clear pathways to progress into senior engineering and architecture roles. Work on varied client engagements, including regulated environments where quality and security matter. Supportive, collaborative culture with mentoring from experienced practitioners across the global Avanade community. Equal Opportunity Avanade is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
We are THG, a global ecommerce group on a mission to be the global online leader in beauty and sports nutrition. Our portfolio of leading retailers and brands such as LOOKFANTASTIC, Myprotein, ESPA, Perricone MD, and Cult Beauty form our two core businesses: THG Beauty and THG Nutrition. From Manchester to New York, we're powered by a team of over 2500 people who work together, lead by example, and think BIG. With us, you'll go further, faster. What are you waiting for? About Central Functions Central Functions is formed of the teams and people that serve the entire business. These people are integral to the smooth running of the business; ensuring everyone is paid on time, that materials are sourced and arrive promptly, that we meet our legal obligations and that our health, safety, and security is safeguarded. Why be the Data Governance Lead at THG? THG has a strong base of talented individuals working with data across the business. As we continue to grow, there is an opportunity to bring greater consistency to how our data is labelled, stored, and managed. At present, ownership of key data domains is not always clearly defined, and there is scope to align around shared definitions for critical metrics. Establishing a more structured approach to data quality and governance would help ensure greater consistency and reliability. By strengthening these foundations, we can build greater confidence in our data and unlock more value from it across the organisation. The Data Governance Lead is the person who starts to change that. This is a greenfield, build-from-scratch role - which is both the challenge and the opportunity. You will assess where we are, define what good looks like for THG, set out a prioritised roadmap, and begin delivering it. This is not primarily a technical role. You will not be building pipelines. The skill we need most here is the ability to design governance frameworks, influence people without direct authority, and drive meaningful change in a fast-moving business that has not always prioritised data quality. You will work closely with Ingenuity (our technology partner, through whom much of our data flows) to ensure that governance standards are consistent across both PLC and Ingen infrastructure. The ideal candidate has seen what good data governance looks like in a larger, more mature organisation - and is now ready to own it themselves. You will find that what exists here is at an early stage, but that is precisely why the role is exciting: you get to shape it. What you'll do Assessment & Roadmap Conduct an initial assessment of THG's current data governance maturity - understanding what we have, what we don't, and where the biggest risks and opportunities lie Define THG's data governance framework - the policies, standards, processes and structures that will govern how we manage data across PLC Build and maintain a prioritised governance roadmap - you cannot fix everything at once; you will need to make clear choices about where to focus first and why Present your assessment and roadmap to senior stakeholders, gaining buy-in and alignment across the business Framework & Standards Own and evolve THG's data governance framework - covering data quality, metadata management, data definitions, lineage and mastering Establish and maintain a data dictionary and catalogue - ensuring that key data assets are clearly defined, documented and accessible Define mastering principles for each core data domain (Customer, Commercial, Operations, Finance, Product) - ensuring there is a clear, agreed source of truth for each Implement data quality standards and monitoring processes - so that quality issues are identified systematically rather than discovered accidentally Domain Ownership & Stakeholder Engagement Identify and appoint data domain owners across the business - equipping and enabling them to take accountability for data quality within their area Work with domain owners across Finance, Customer, Operations, People and Product to resolve mastering conflicts, ambiguities and quality issues Educate and influence stakeholders at all levels - building data literacy and making governance a positive part of how the business works, not a bureaucratic overhead Work closely with the Legal and Compliance functions on data-related regulatory requirements Ingenuity Partnership Build a strong working relationship with Ingenuity's data and engineering teams - much of our data flows through Ingen infrastructure and governance standards need to be consistent Ensure that PLC governance requirements are communicated clearly to Ingenuity and reflected in how data is managed at the platform level Identify where Ingen data practices create downstream quality issues in PLC, and work collaboratively to resolve them AI & Platform Readiness Ensure that data governance supports future AI and personalisation use cases - well-governed, well-mastered data is the prerequisite for agentic commerce, recommendation engines and customer personalisation Contribute to data readiness assessments for new technology capabilities and platform migrations Advocate for governance as an enabler of AI rather than a constraint on it What skills and experience do I need for this role? Substantial experience (typically 5+ years) working within a data governance, data management or data quality function - ideally within a larger, more mature organisation Hands on experience contributing to or helping to implement a data governance framework - you understand what the components are and how they fit together Strong understanding of data mastering, metadata management, data quality measurement and lineage concepts Excellent stakeholder management and influencing skills - this role drives change through credibility and influence, not direct authority Ability to communicate clearly about complex data concepts to non-technical audiences - from board level to frontline business users Self starter with a proven track record of taking initiative, shaping an agenda and delivering against it Comfortable with ambiguity - you are building something that does not exist yet, and you will need to be energised rather than unsettled by that SQL - sufficient to investigate data quality issues and interrogate datasets directly Experience with data governance or cataloguing tools (Collibra, Alation, DataHub or equivalent) Understanding of GDPR and broader data compliance requirements E-commerce, retail or consumer goods background A Note on Level We are looking for someone who has the experience to know what good governance looks like - but who is genuinely excited to own it for the first time. If you have been part of a mature governance function in a larger organisation and are ready to build something yourself, this is the right role. If you are at the very senior end of your governance career and expect an established function to run, you will find the starting point here more challenging than the seniority of the role might suggest. What's in it for me? Access bespoke development programmes that have been designed and developed by our in house L&D team. Continued development through our upskilling programme that is delivered in partnership with an industry leading training provider. Enhanced Leave 25 days annual leave plus bank holidays. Don't want to work on your birthday? We don't either! Enjoy your day off on us! Enhanced maternity and paternity pay, depending on length of service. Up to 10 days compassionate leave. Buy back up to 3 days each year. Access face to face and virtual appointments with our in house GP. Access our 247 Employee Assistance Programme (EAP) which is provided by Bupa. State of the art on site gym. Access to our on site physio. Other Perks Save up to 12% on the cost of personal tech through our salary sacrifice scheme. Subsidised bus pass from Manchester City Centre to our ICON office. Up to 50% staff discount on THG brands. On site staff shop. Know someone who would be perfect for THG? Refer them and get up to £1000 when they pass their probation. Anniversary gifts when you hit 5 and 10 years of service. Other Information THG is proud to be a Disability Confident Committed employer. If you are invited to interview, please let us know if there are any reasonable adjustments we can make to the recruitment process that will enable you to perform to the best of your ability. THG is committed to creating a diverse & inclusive environment and hence welcomes applications from all sections of the community.
26/07/2026
Full time
We are THG, a global ecommerce group on a mission to be the global online leader in beauty and sports nutrition. Our portfolio of leading retailers and brands such as LOOKFANTASTIC, Myprotein, ESPA, Perricone MD, and Cult Beauty form our two core businesses: THG Beauty and THG Nutrition. From Manchester to New York, we're powered by a team of over 2500 people who work together, lead by example, and think BIG. With us, you'll go further, faster. What are you waiting for? About Central Functions Central Functions is formed of the teams and people that serve the entire business. These people are integral to the smooth running of the business; ensuring everyone is paid on time, that materials are sourced and arrive promptly, that we meet our legal obligations and that our health, safety, and security is safeguarded. Why be the Data Governance Lead at THG? THG has a strong base of talented individuals working with data across the business. As we continue to grow, there is an opportunity to bring greater consistency to how our data is labelled, stored, and managed. At present, ownership of key data domains is not always clearly defined, and there is scope to align around shared definitions for critical metrics. Establishing a more structured approach to data quality and governance would help ensure greater consistency and reliability. By strengthening these foundations, we can build greater confidence in our data and unlock more value from it across the organisation. The Data Governance Lead is the person who starts to change that. This is a greenfield, build-from-scratch role - which is both the challenge and the opportunity. You will assess where we are, define what good looks like for THG, set out a prioritised roadmap, and begin delivering it. This is not primarily a technical role. You will not be building pipelines. The skill we need most here is the ability to design governance frameworks, influence people without direct authority, and drive meaningful change in a fast-moving business that has not always prioritised data quality. You will work closely with Ingenuity (our technology partner, through whom much of our data flows) to ensure that governance standards are consistent across both PLC and Ingen infrastructure. The ideal candidate has seen what good data governance looks like in a larger, more mature organisation - and is now ready to own it themselves. You will find that what exists here is at an early stage, but that is precisely why the role is exciting: you get to shape it. What you'll do Assessment & Roadmap Conduct an initial assessment of THG's current data governance maturity - understanding what we have, what we don't, and where the biggest risks and opportunities lie Define THG's data governance framework - the policies, standards, processes and structures that will govern how we manage data across PLC Build and maintain a prioritised governance roadmap - you cannot fix everything at once; you will need to make clear choices about where to focus first and why Present your assessment and roadmap to senior stakeholders, gaining buy-in and alignment across the business Framework & Standards Own and evolve THG's data governance framework - covering data quality, metadata management, data definitions, lineage and mastering Establish and maintain a data dictionary and catalogue - ensuring that key data assets are clearly defined, documented and accessible Define mastering principles for each core data domain (Customer, Commercial, Operations, Finance, Product) - ensuring there is a clear, agreed source of truth for each Implement data quality standards and monitoring processes - so that quality issues are identified systematically rather than discovered accidentally Domain Ownership & Stakeholder Engagement Identify and appoint data domain owners across the business - equipping and enabling them to take accountability for data quality within their area Work with domain owners across Finance, Customer, Operations, People and Product to resolve mastering conflicts, ambiguities and quality issues Educate and influence stakeholders at all levels - building data literacy and making governance a positive part of how the business works, not a bureaucratic overhead Work closely with the Legal and Compliance functions on data-related regulatory requirements Ingenuity Partnership Build a strong working relationship with Ingenuity's data and engineering teams - much of our data flows through Ingen infrastructure and governance standards need to be consistent Ensure that PLC governance requirements are communicated clearly to Ingenuity and reflected in how data is managed at the platform level Identify where Ingen data practices create downstream quality issues in PLC, and work collaboratively to resolve them AI & Platform Readiness Ensure that data governance supports future AI and personalisation use cases - well-governed, well-mastered data is the prerequisite for agentic commerce, recommendation engines and customer personalisation Contribute to data readiness assessments for new technology capabilities and platform migrations Advocate for governance as an enabler of AI rather than a constraint on it What skills and experience do I need for this role? Substantial experience (typically 5+ years) working within a data governance, data management or data quality function - ideally within a larger, more mature organisation Hands on experience contributing to or helping to implement a data governance framework - you understand what the components are and how they fit together Strong understanding of data mastering, metadata management, data quality measurement and lineage concepts Excellent stakeholder management and influencing skills - this role drives change through credibility and influence, not direct authority Ability to communicate clearly about complex data concepts to non-technical audiences - from board level to frontline business users Self starter with a proven track record of taking initiative, shaping an agenda and delivering against it Comfortable with ambiguity - you are building something that does not exist yet, and you will need to be energised rather than unsettled by that SQL - sufficient to investigate data quality issues and interrogate datasets directly Experience with data governance or cataloguing tools (Collibra, Alation, DataHub or equivalent) Understanding of GDPR and broader data compliance requirements E-commerce, retail or consumer goods background A Note on Level We are looking for someone who has the experience to know what good governance looks like - but who is genuinely excited to own it for the first time. If you have been part of a mature governance function in a larger organisation and are ready to build something yourself, this is the right role. If you are at the very senior end of your governance career and expect an established function to run, you will find the starting point here more challenging than the seniority of the role might suggest. What's in it for me? Access bespoke development programmes that have been designed and developed by our in house L&D team. Continued development through our upskilling programme that is delivered in partnership with an industry leading training provider. Enhanced Leave 25 days annual leave plus bank holidays. Don't want to work on your birthday? We don't either! Enjoy your day off on us! Enhanced maternity and paternity pay, depending on length of service. Up to 10 days compassionate leave. Buy back up to 3 days each year. Access face to face and virtual appointments with our in house GP. Access our 247 Employee Assistance Programme (EAP) which is provided by Bupa. State of the art on site gym. Access to our on site physio. Other Perks Save up to 12% on the cost of personal tech through our salary sacrifice scheme. Subsidised bus pass from Manchester City Centre to our ICON office. Up to 50% staff discount on THG brands. On site staff shop. Know someone who would be perfect for THG? Refer them and get up to £1000 when they pass their probation. Anniversary gifts when you hit 5 and 10 years of service. Other Information THG is proud to be a Disability Confident Committed employer. If you are invited to interview, please let us know if there are any reasonable adjustments we can make to the recruitment process that will enable you to perform to the best of your ability. THG is committed to creating a diverse & inclusive environment and hence welcomes applications from all sections of the community.
Senior Business Intelligence Data Engineer Department: Chief of Staff Employment Type: Full Time Location: UK (Home based) Description The I&A function works with a centralised data warehouse built in Google BigQuery, which serves as the single source of truth for business data across the organisation. The warehouse breaks down data silos, enables the development of automated, contextualised reports and ad hoc analyses, supporting improved data accessibility and communication of insights across the business. Your new role The Data Engineer role is essential for building and maintaining robust data pipelines between source enterprise business systems and BigQuery, and for data modelling. This includes designing and managing data transformation processes within BigQuery to clean, join, and aggregate data into report and analysis ready datasets. Additionally, the Data Engineer will develop a deep understanding of the data models within our core enterprise systems, providing critical support for change management, system modifications, and integrations to ensure seamless data operations. Please be aware that we may close this position early if we receive a high volume of applications, so we encourage you to apply promptly. What you'll be doing Collaborate with cross functional teams to identify, collect, and validate data sources and analytics requirements Design, develop, implement and maintain data systems and ETL/ELT processes that support data processing, data integration, and data transformation. This includes the set up and management of Digital Science's Fivetran instance, as well as developing and maintaining the code base in cloud functions/GBQ pipelines for API calls to non Fivetran supported data sources Develop and maintain data transformation and modelling processes using Dataform or dbt Implement and maintain best practices for data governance, data security, and data quality, alerting systems and CI/CD processes Play a central role in business system procurement and change management processes, to advise on the downstream impact for reporting and analytics of system modification, integration and implementation Stay current with industry trends and technologies to identify opportunities for innovation and improvement What you'll bring to the role Essential Experience & Skills Experience as a Data Engineer or similar role working within a modern, cloud based environment Strong SQL development skills, including experience designing modular, maintainable data models and transformations Hands on experience with cloud data warehouses, preferably Google BigQuery, including performance optimisation, cost management and working with large datasets Experience developing and maintaining ELT/ETL pipelines with tools such as Fivetran, Stitch, Airbyte or similar Practical experience with SQL based transformation frameworks such as Dataform or dbt, including managing pipelines as code and version control Good understanding of data modelling principles (e.g. dimensional modelling) and best practices for data quality, lineage tracking and governance Ability to design robust, testable and scalable data products and processes, with attention to reliability, documentation and long term maintenance Understanding of DevOps practices (CI/CD, Git workflows, environment management) Excellent communication skills, enabling effective collaboration with technical and non technical stakeholders Desirable Experience Exposure to Google Cloud Platform (GCP) services beyond BigQuery, such as Cloud Functions, Cloud Storage, Pub/Sub or Cloud Run Experience with data quality frameworks and automated monitoring, including alerting, anomaly detection, or testing frameworks Familiarity with data visualisation and BI tools, such as Looker, Looker Studio, Tableau or Power BI Knowledge of AI/machine learning concepts, and experience using tools such as Vertex AI, BigQuery ML or similar At Digital Science, we are committed to building and nurturing a workplace where every individual feels valued and belongs. All applicants will be considered for employment without attention to race, colour, religion, age, sex, sexual orientation, gender identity, national origin, veteran, or disability status. We strive to cultivate an environment where inclusivity is woven into the fabric of our culture, enabling everyone to be their best self and do their best work.
26/07/2026
Full time
Senior Business Intelligence Data Engineer Department: Chief of Staff Employment Type: Full Time Location: UK (Home based) Description The I&A function works with a centralised data warehouse built in Google BigQuery, which serves as the single source of truth for business data across the organisation. The warehouse breaks down data silos, enables the development of automated, contextualised reports and ad hoc analyses, supporting improved data accessibility and communication of insights across the business. Your new role The Data Engineer role is essential for building and maintaining robust data pipelines between source enterprise business systems and BigQuery, and for data modelling. This includes designing and managing data transformation processes within BigQuery to clean, join, and aggregate data into report and analysis ready datasets. Additionally, the Data Engineer will develop a deep understanding of the data models within our core enterprise systems, providing critical support for change management, system modifications, and integrations to ensure seamless data operations. Please be aware that we may close this position early if we receive a high volume of applications, so we encourage you to apply promptly. What you'll be doing Collaborate with cross functional teams to identify, collect, and validate data sources and analytics requirements Design, develop, implement and maintain data systems and ETL/ELT processes that support data processing, data integration, and data transformation. This includes the set up and management of Digital Science's Fivetran instance, as well as developing and maintaining the code base in cloud functions/GBQ pipelines for API calls to non Fivetran supported data sources Develop and maintain data transformation and modelling processes using Dataform or dbt Implement and maintain best practices for data governance, data security, and data quality, alerting systems and CI/CD processes Play a central role in business system procurement and change management processes, to advise on the downstream impact for reporting and analytics of system modification, integration and implementation Stay current with industry trends and technologies to identify opportunities for innovation and improvement What you'll bring to the role Essential Experience & Skills Experience as a Data Engineer or similar role working within a modern, cloud based environment Strong SQL development skills, including experience designing modular, maintainable data models and transformations Hands on experience with cloud data warehouses, preferably Google BigQuery, including performance optimisation, cost management and working with large datasets Experience developing and maintaining ELT/ETL pipelines with tools such as Fivetran, Stitch, Airbyte or similar Practical experience with SQL based transformation frameworks such as Dataform or dbt, including managing pipelines as code and version control Good understanding of data modelling principles (e.g. dimensional modelling) and best practices for data quality, lineage tracking and governance Ability to design robust, testable and scalable data products and processes, with attention to reliability, documentation and long term maintenance Understanding of DevOps practices (CI/CD, Git workflows, environment management) Excellent communication skills, enabling effective collaboration with technical and non technical stakeholders Desirable Experience Exposure to Google Cloud Platform (GCP) services beyond BigQuery, such as Cloud Functions, Cloud Storage, Pub/Sub or Cloud Run Experience with data quality frameworks and automated monitoring, including alerting, anomaly detection, or testing frameworks Familiarity with data visualisation and BI tools, such as Looker, Looker Studio, Tableau or Power BI Knowledge of AI/machine learning concepts, and experience using tools such as Vertex AI, BigQuery ML or similar At Digital Science, we are committed to building and nurturing a workplace where every individual feels valued and belongs. All applicants will be considered for employment without attention to race, colour, religion, age, sex, sexual orientation, gender identity, national origin, veteran, or disability status. We strive to cultivate an environment where inclusivity is woven into the fabric of our culture, enabling everyone to be their best self and do their best work.
Are you passionate about building trusted customer data foundations that power meaningful marketing decisions? Would you like to shape scalable data pipelines and models that improve customer journeys, analytics, and business outcomes? LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. This role acts as the technical backbone for the Marketing Hub-partnering closely with analytics, MarTech, and digital teams to deliver the pipelines, data models, and governance frameworks that support personalisation, measurement, experimentation, and strategic decision making. The Data Engineer ensures data is not only accurate and compliant but designed for high performance and long term growth. The Data Engineer plays a foundational role in enabling modern, insight driven marketing by building and maintaining the data infrastructure that powers the organisation's customer intelligence ecosystem. Working across the Customer Data Platform, journey orchestration capability, and advanced analytics and dashboarding environment, the role ensures that marketing has access to trusted, well structured, and scalable data. Responsibilities Data Architecture & Pipeline Engineering: Build and maintain reliable pipelines integrating customer, campaign, and operational data into the CDP, ensuring accuracy and readiness for analysis. Marketing Data Model Design: Develop scalable models supporting segmentation, lifecycle analytics, attribution, and KPI frameworks. CDP Enablement & Identity Management: Partner with MarTech and Analytics to improve identity resolution, consent logic, and data quality within the CDP. Journey Orchestration Data Readiness: Enable event streams, triggers, and monitoring to support accurate, timely customer journeys. Analytics & Dashboarding Enablement: Provide structured datasets and semantic layers for reporting and dashboards, aligned with KPI frameworks. Data Governance & Quality Assurance: Maintain data quality, lineage, and compliance with GDPR and PII standards. Collaboration & Strategic Influence: Work closely with the Senior Marketing Analyst to align on priorities, translating technical concepts into business insights. Operational Excellence & Standards: Ensure scalable, stable data operations using best practices in automation, observability, and continuous improvement. Requirements Advanced SQL, ETL/ELT frameworks, and cloud data platforms such as Azure, AWS, or GCP. Data modelling and pipeline orchestration using tools such as Airflow, Data Factory, dbt, or similar. Integrate CDP data sources across digital, CRM, transactional, and behavioural data; support identity resolution, consent handling, audience activation, journey events, trigger logic, and behavioural signals. Build data marts and semantic layers for dashboarding and BI tools such as Power BI or Tableau; structure datasets optimised for KPI frameworks, attribution, funnel, and lifecycle analytics. Apply data quality frameworks, lineage, cataloguing, and GDPR/PII compliance practices. Design secure data pipelines with monitoring, alerting, and SLA/SLO management. Translate business and marketing needs into clear technical specifications, communicating technical topics clearly to non technical stakeholders. Partner with analytics, marketing ops, and MarTech teams to own scalable, reliable, trusted customer data solutions. We offer country-specific benefits that support your well being and happiness. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. For more information, visit and .
26/07/2026
Full time
Are you passionate about building trusted customer data foundations that power meaningful marketing decisions? Would you like to shape scalable data pipelines and models that improve customer journeys, analytics, and business outcomes? LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. This role acts as the technical backbone for the Marketing Hub-partnering closely with analytics, MarTech, and digital teams to deliver the pipelines, data models, and governance frameworks that support personalisation, measurement, experimentation, and strategic decision making. The Data Engineer ensures data is not only accurate and compliant but designed for high performance and long term growth. The Data Engineer plays a foundational role in enabling modern, insight driven marketing by building and maintaining the data infrastructure that powers the organisation's customer intelligence ecosystem. Working across the Customer Data Platform, journey orchestration capability, and advanced analytics and dashboarding environment, the role ensures that marketing has access to trusted, well structured, and scalable data. Responsibilities Data Architecture & Pipeline Engineering: Build and maintain reliable pipelines integrating customer, campaign, and operational data into the CDP, ensuring accuracy and readiness for analysis. Marketing Data Model Design: Develop scalable models supporting segmentation, lifecycle analytics, attribution, and KPI frameworks. CDP Enablement & Identity Management: Partner with MarTech and Analytics to improve identity resolution, consent logic, and data quality within the CDP. Journey Orchestration Data Readiness: Enable event streams, triggers, and monitoring to support accurate, timely customer journeys. Analytics & Dashboarding Enablement: Provide structured datasets and semantic layers for reporting and dashboards, aligned with KPI frameworks. Data Governance & Quality Assurance: Maintain data quality, lineage, and compliance with GDPR and PII standards. Collaboration & Strategic Influence: Work closely with the Senior Marketing Analyst to align on priorities, translating technical concepts into business insights. Operational Excellence & Standards: Ensure scalable, stable data operations using best practices in automation, observability, and continuous improvement. Requirements Advanced SQL, ETL/ELT frameworks, and cloud data platforms such as Azure, AWS, or GCP. Data modelling and pipeline orchestration using tools such as Airflow, Data Factory, dbt, or similar. Integrate CDP data sources across digital, CRM, transactional, and behavioural data; support identity resolution, consent handling, audience activation, journey events, trigger logic, and behavioural signals. Build data marts and semantic layers for dashboarding and BI tools such as Power BI or Tableau; structure datasets optimised for KPI frameworks, attribution, funnel, and lifecycle analytics. Apply data quality frameworks, lineage, cataloguing, and GDPR/PII compliance practices. Design secure data pipelines with monitoring, alerting, and SLA/SLO management. Translate business and marketing needs into clear technical specifications, communicating technical topics clearly to non technical stakeholders. Partner with analytics, marketing ops, and MarTech teams to own scalable, reliable, trusted customer data solutions. We offer country-specific benefits that support your well being and happiness. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. For more information, visit and .
At Moneybox, our mission is to give everyone the means to get more out of life. We're guided by our belief that wealth isn't about the money, it's about the means to more - more freedom, opportunities, possibilities, and peace of mind. Moneybox is an award winning wealth management platform, helping over one and a half million people build wealth throughout their lives, whether they're saving and investing, buying their first home, or planning for retirement. This is a hybrid role. Our office is in London, by the Oxo Tower. Job brief This role is in our Tech Ops Engineering team that operates our cloud hosted services. You will be working with people throughout Moneybox to design and deliver platform capabilities, drive operational excellence, support the live service, and shape how we do things. We're looking for someone who thrives across solution architecture, hands on engineering, and owning their solutions from concept through to production - and who can bring others along with them. At senior level, we expect you to lead technical direction within the team, make sound decisions under pressure, and actively improve the systems and practices around you. We're actively embracing AI, and are keen to hear from those with experience or enthusiasm for this new approach. This team offers and runs the following services: System Reliability: Maintains and enhances the scalability, availability, security and resilience of systems hosted in the Azure cloud. Collaborative Development: Provides infrastructure patterns and practices guidance to squads as they develop new services, and continuously improve the IaC, policies and guardrails that allow them to operate independently. Advanced Technical Support: Works alongside our engineering teams to handle complex technical inquiries related to our live services, ensuring service issues are resolved swiftly, with minimal impact. Our Tech Stack Azure: App Services, Functions, Service Bus, Event Hub, CosmosDB, Redis, SQL Server, Databricks, Key Vault, AKS (Kubernetes), Networking, Managed Identity Infrastructure as Code (Terraform / Terraform Cloud) CloudFlare GitHub, GitHub Actions, Azure DevOps Pipelines Datadog C#, .NET Core / .NET Framework (being phased out) REST APIs, Hangfire, MediatR, Entity Framework, Mass Transit, xUnit/NUnit Node, Next.js, React PowerShell, Bash What you'll do Lead the design, build, and operation of cloud infrastructure, platform services, and ops tooling that underpin our live service and empower engineering teams. Own and evolve monitoring and alerting across production systems - ensuring dashboards and alerts are high signal and actionable. Lead incident response during production issues. Coordinate across teams, drive resolution, and ensure thorough post incident reviews with meaningful follow up actions. Investigate and resolve complex technical issues across application, infrastructure, data, and networking layers - performing root cause analysis and implementing durable fixes, not just patches. Maintain, evolve, and champion our Infrastructure as Code (Terraform) to ensure environments are reproducible, auditable, and version controlled. Improve CI/CD pipelines and deployment practices to increase engineering velocity while maintaining deployment safety and rollback capability. Proactively manage cloud capacity and cost - monitoring spend, identifying optimisation opportunities, and contributing to FinOps practices including tagging, budgeting, and cost allocation. Ensure infrastructure and platform services meet security, regulatory, and compliance requirements. Implement and maintain controls around network segmentation, access management, secrets handling, and vulnerability patching. Support audit and governance processes with evidence and documentation. Drive automation of operational toil and repetitive tasks - if you're doing it more than twice, automate it. Contribute to production readiness standards - every change should be observable, reversible, and well tested before it reaches customers. Foster a knowledge sharing environment with thorough documentation, runbooks, and a teamwork oriented culture. Support the wider business to meet their goals where major infrastructure or service change is required. Support, coach, and mentor other team members. Raise the technical bar through pairing, code review, and leading by example. Stay abreast of and (where necessary) apply the latest emerging technologies relevant to systems engineering and cloud infrastructure. Who you are Passionate about platform reliability, operational excellence, and building shared ownership of production systems across the wider engineering team. Comfortable leading incident response under pressure and making sound technical decisions with incomplete information. Excited about being part of a fast growing company that's trying to make a positive mark on the world. A driven, ambitious self starter who takes ownership and sees things through. Collaborative attitude - you enjoy working individually as well as within a team, and you naturally bring people along with your ideas. Pragmatic - you favour simplicity, avoid over engineering, and know when "good enough" is the right call. Can embrace our ALOT values. Knows how to have fun whilst maintaining a professional outlook. Essential Skills A degree in Computer Science or relevant experience Proven track record in a similar role Strong understanding of Cloud Infrastructure (even better if it's Microsoft Azure) Infrastructure as Code (Terraform) Web Application Security (e.g. CloudFlare) Web and API scalability and performance Distributed systems Build and Release Pipelines (e.g. Azure DevOps, Github Actions) Strong analytical and problem solving skills Comfortable working within a live Cloud environment
26/07/2026
Full time
At Moneybox, our mission is to give everyone the means to get more out of life. We're guided by our belief that wealth isn't about the money, it's about the means to more - more freedom, opportunities, possibilities, and peace of mind. Moneybox is an award winning wealth management platform, helping over one and a half million people build wealth throughout their lives, whether they're saving and investing, buying their first home, or planning for retirement. This is a hybrid role. Our office is in London, by the Oxo Tower. Job brief This role is in our Tech Ops Engineering team that operates our cloud hosted services. You will be working with people throughout Moneybox to design and deliver platform capabilities, drive operational excellence, support the live service, and shape how we do things. We're looking for someone who thrives across solution architecture, hands on engineering, and owning their solutions from concept through to production - and who can bring others along with them. At senior level, we expect you to lead technical direction within the team, make sound decisions under pressure, and actively improve the systems and practices around you. We're actively embracing AI, and are keen to hear from those with experience or enthusiasm for this new approach. This team offers and runs the following services: System Reliability: Maintains and enhances the scalability, availability, security and resilience of systems hosted in the Azure cloud. Collaborative Development: Provides infrastructure patterns and practices guidance to squads as they develop new services, and continuously improve the IaC, policies and guardrails that allow them to operate independently. Advanced Technical Support: Works alongside our engineering teams to handle complex technical inquiries related to our live services, ensuring service issues are resolved swiftly, with minimal impact. Our Tech Stack Azure: App Services, Functions, Service Bus, Event Hub, CosmosDB, Redis, SQL Server, Databricks, Key Vault, AKS (Kubernetes), Networking, Managed Identity Infrastructure as Code (Terraform / Terraform Cloud) CloudFlare GitHub, GitHub Actions, Azure DevOps Pipelines Datadog C#, .NET Core / .NET Framework (being phased out) REST APIs, Hangfire, MediatR, Entity Framework, Mass Transit, xUnit/NUnit Node, Next.js, React PowerShell, Bash What you'll do Lead the design, build, and operation of cloud infrastructure, platform services, and ops tooling that underpin our live service and empower engineering teams. Own and evolve monitoring and alerting across production systems - ensuring dashboards and alerts are high signal and actionable. Lead incident response during production issues. Coordinate across teams, drive resolution, and ensure thorough post incident reviews with meaningful follow up actions. Investigate and resolve complex technical issues across application, infrastructure, data, and networking layers - performing root cause analysis and implementing durable fixes, not just patches. Maintain, evolve, and champion our Infrastructure as Code (Terraform) to ensure environments are reproducible, auditable, and version controlled. Improve CI/CD pipelines and deployment practices to increase engineering velocity while maintaining deployment safety and rollback capability. Proactively manage cloud capacity and cost - monitoring spend, identifying optimisation opportunities, and contributing to FinOps practices including tagging, budgeting, and cost allocation. Ensure infrastructure and platform services meet security, regulatory, and compliance requirements. Implement and maintain controls around network segmentation, access management, secrets handling, and vulnerability patching. Support audit and governance processes with evidence and documentation. Drive automation of operational toil and repetitive tasks - if you're doing it more than twice, automate it. Contribute to production readiness standards - every change should be observable, reversible, and well tested before it reaches customers. Foster a knowledge sharing environment with thorough documentation, runbooks, and a teamwork oriented culture. Support the wider business to meet their goals where major infrastructure or service change is required. Support, coach, and mentor other team members. Raise the technical bar through pairing, code review, and leading by example. Stay abreast of and (where necessary) apply the latest emerging technologies relevant to systems engineering and cloud infrastructure. Who you are Passionate about platform reliability, operational excellence, and building shared ownership of production systems across the wider engineering team. Comfortable leading incident response under pressure and making sound technical decisions with incomplete information. Excited about being part of a fast growing company that's trying to make a positive mark on the world. A driven, ambitious self starter who takes ownership and sees things through. Collaborative attitude - you enjoy working individually as well as within a team, and you naturally bring people along with your ideas. Pragmatic - you favour simplicity, avoid over engineering, and know when "good enough" is the right call. Can embrace our ALOT values. Knows how to have fun whilst maintaining a professional outlook. Essential Skills A degree in Computer Science or relevant experience Proven track record in a similar role Strong understanding of Cloud Infrastructure (even better if it's Microsoft Azure) Infrastructure as Code (Terraform) Web Application Security (e.g. CloudFlare) Web and API scalability and performance Distributed systems Build and Release Pipelines (e.g. Azure DevOps, Github Actions) Strong analytical and problem solving skills Comfortable working within a live Cloud environment
Team Manager, Professional Services About the Role We are looking for a Team Manager, Professional Services to join our Delivery organisation. The role is a critical leadership position responsible for leading a high performing team delivering implementation, consulting, and customer facing solutions. You will play a key role in ensuring customers successfully adopt and realise value from our products through high quality project delivery and strong collaboration across internal and external stakeholders. This is an exciting opportunity for a commercially aware delivery leader with strong consulting capability and a passion for driving customer outcomes. What You'll Be Doing Lead, coach, and develop a team of Professional Services consultants, project managers, and delivery specialists Oversee the successful delivery of customer projects, including technical implementations, customisation, and consulting engagements Partner with senior stakeholders, including C suite customer leaders, to understand business goals and define success outcomes Manage complex and time sensitive programmes, ensuring risks, timelines, and dependencies are effectively controlled Drive continuous improvement in delivery processes, frameworks, and operational standards Collaborate cross functionally with Customer Success, Sales, Product, Engineering and Support teams to support adoption and long term customer value Contribute to scoping, proposals, statements of work and delivery estimates with strong commercial awareness Monitor delivery performance, team utilisation, and customer satisfaction, using data to drive decisions Act as an escalation point for customer issues, resolving challenges with professionalism and urgency Support team development through performance management, coaching, and career growth What We're Looking For Essential Skills & Experience Experience leading or mentoring customer facing delivery or Professional Services teams Strong background in project delivery, implementation, or consulting environments Ability to manage complex projects with clear governance, risk management and stakeholder engagement Experience working with senior executive level stakeholders at enterprise customers Strong communication and influencing skills with the ability to translate customer needs into practical solutions Commercial awareness, including exposure to scoping, proposals, resourcing or statements of work Experience using data and insights to monitor performance and drive improvements Strong digital literacy, including understanding of technical architecture, data schemas at APIs Desirable Experience in SaaS, technology, digital, or education environments Exposure to consulting methodologies or structured problem solving approaches Experience driving process improvement and operational efficiency initiatives Location & Work Setup This is a full time role operating on a hybrid working model ( Your Rewards & Benefits We know you'll do great work, so we give a lot back with some of the best benefits in the business. Our benefits are designed to support you at every stage-professionally and personally-including flexible working, wellbeing support, and opportunities for career growth. We recognise that one size doesn't fit all, so our programmes are tailored to meet the different needs of our diverse colleagues and their families. Ready to make an impact? Apply now and play a key role in driving delivery excellence, customer success, and long term value through Professional Services at Pearson. Equal Opportunity Employer Pearson is an Equal Opportunity Employer and a member of E Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing .
26/07/2026
Full time
Team Manager, Professional Services About the Role We are looking for a Team Manager, Professional Services to join our Delivery organisation. The role is a critical leadership position responsible for leading a high performing team delivering implementation, consulting, and customer facing solutions. You will play a key role in ensuring customers successfully adopt and realise value from our products through high quality project delivery and strong collaboration across internal and external stakeholders. This is an exciting opportunity for a commercially aware delivery leader with strong consulting capability and a passion for driving customer outcomes. What You'll Be Doing Lead, coach, and develop a team of Professional Services consultants, project managers, and delivery specialists Oversee the successful delivery of customer projects, including technical implementations, customisation, and consulting engagements Partner with senior stakeholders, including C suite customer leaders, to understand business goals and define success outcomes Manage complex and time sensitive programmes, ensuring risks, timelines, and dependencies are effectively controlled Drive continuous improvement in delivery processes, frameworks, and operational standards Collaborate cross functionally with Customer Success, Sales, Product, Engineering and Support teams to support adoption and long term customer value Contribute to scoping, proposals, statements of work and delivery estimates with strong commercial awareness Monitor delivery performance, team utilisation, and customer satisfaction, using data to drive decisions Act as an escalation point for customer issues, resolving challenges with professionalism and urgency Support team development through performance management, coaching, and career growth What We're Looking For Essential Skills & Experience Experience leading or mentoring customer facing delivery or Professional Services teams Strong background in project delivery, implementation, or consulting environments Ability to manage complex projects with clear governance, risk management and stakeholder engagement Experience working with senior executive level stakeholders at enterprise customers Strong communication and influencing skills with the ability to translate customer needs into practical solutions Commercial awareness, including exposure to scoping, proposals, resourcing or statements of work Experience using data and insights to monitor performance and drive improvements Strong digital literacy, including understanding of technical architecture, data schemas at APIs Desirable Experience in SaaS, technology, digital, or education environments Exposure to consulting methodologies or structured problem solving approaches Experience driving process improvement and operational efficiency initiatives Location & Work Setup This is a full time role operating on a hybrid working model ( Your Rewards & Benefits We know you'll do great work, so we give a lot back with some of the best benefits in the business. Our benefits are designed to support you at every stage-professionally and personally-including flexible working, wellbeing support, and opportunities for career growth. We recognise that one size doesn't fit all, so our programmes are tailored to meet the different needs of our diverse colleagues and their families. Ready to make an impact? Apply now and play a key role in driving delivery excellence, customer success, and long term value through Professional Services at Pearson. Equal Opportunity Employer Pearson is an Equal Opportunity Employer and a member of E Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing .
Sword is a leading provider of business technology solutions within the Energy, Public and Finance Sectors, driving real transformation change within our clients. We use proven technology, specialist teams and domain expertise to build solid technical foundations across platforms, data and business applications. We have a passion for using technology to solve business problems, working in partnership with our clients to help in achieving their goals. To support significant M&A and Integration projects across a range of domain sectors, this ongoing contract opportunity will lead the design and delivery of modern endpoint and workplace solutions across Microsoft Intune, Windows Autopilot, Windows Autopatch and Microsoft Entra ID. Responsibilities Assess current environments and define target state architectures, migration approaches and implementation roadmaps. Produce high quality design documentation including assessments, high level designs, low level designs and implementation plans. Provide technical leadership across discovery, design, implementation, testing and transition to support. Design secure, scalable and supportable solutions aligned to Zero Trust principles and organisational compliance requirements. Work closely with clients and internal teams to shape requirements, run workshops and guide technical decision making. Support endpoint security design across compliance, device configuration, identity integration and protection capabilities. Contribute to pre sales activity including solution shaping, technical input to proposals, statements of work and delivery estimates. Act as a trusted advisor to clients and a senior technical authority within endpoint transformation engagements. Support practice development through reusable standards, architecture patterns and continuous improvement. Qualifications Proven ability to lead the architecture, design and hands on delivery of complex endpoint or modern workplace solutions for mid market and enterprise customers. Strong experience acting as the senior technical lead across discovery, design, implementation, migration and operational handover activities. Demonstrable experience in technical consulting, engineering or architecture roles, with significant focus on endpoint management, security and modern workplace transformation. Experience producing and owning assessments, strategies, roadmaps, high level designs, low level designs, implementation plans, standards and operational architecture artefacts. Ability to build trusted client relationships, provide technical leadership to engineers and influence stakeholders at both technical and leadership levels. Relevant Microsoft certifications such as MD 102, MS 102, SC 300, AZ 104 or expert level architecture or security certifications are desirable. Experience working in security conscious or regulated environments; SC and/or NPPV3 clearance would be beneficial but is not essential. Essential Experience Deep hands on expertise in modern endpoint architecture using Microsoft Intune across Windows 10/11, iOS/iPadOS and Android, with sound awareness of macOS management principles. Designing and implementing Windows Autopilot and modern provisioning strategies, including enrolment models, ESP optimisation, deployment profiles, identity integration and lifecycle considerations. Architecting Windows servicing and device lifecycle strategies using Windows Update for Business, feature updates, driver and firmware controls, and Windows Autopatch. Strong experience with application packaging, testing and deployment, including Win32 applications, Microsoft 365 Apps, the modern Microsoft Store and automation led deployment approaches. Strong understanding of Microsoft Entra ID, Conditional Access, MFA, device compliance and identity driven access controls, with the ability to align endpoint architecture to Zero Trust principles. Hands on experience designing and implementing endpoint security controls using security baselines, Settings Catalog, BitLocker, Windows Hello for Business, Cloud LAPS, Microsoft Defender for Endpoint, WDAC and AppLocker. Strong capability in MDM/MAM design with Intune, including app protection, BYOD strategy, corporate owned device management and platform governance. Good knowledge of Active Directory, hybrid identity, Entra Connect Sync and Cloud Sync, certificate management, RBAC and dependency mapping across the wider Microsoft 365 platform. Ability to translate business, security and operational requirements into practical architecture standards, implementation designs and supportable service outcomes. Experience using PowerShell and Microsoft Graph to support automation, reporting, configuration consistency and operational efficiency. Desirable Experience Co management capabilities and integration with Microsoft Configuration Manager. Intune Suite capabilities such as Remote Help, Endpoint Privilege Management, Advanced Analytics or Cloud PKI. Microsoft Tunnel, specialist mobile management scenarios, and broader cross platform endpoint management practices. Designing and deploying Windows 365 Cloud PC and/or Azure Virtual Desktop solutions as part of a wider modern workplace strategy. Dynamic groups, assignment filters, policy sets and reporting or dashboarding for endpoint posture and service performance. Good understanding of wider Microsoft 365 workloads and how endpoint, identity, security and collaboration services integrate. Awareness of Microsoft Security Copilot or AI assisted operations in endpoint and security administration. This opportunity is offered on a contract basis and can operate Outside IR35 or an a PAYE basis. There will also be the option of a permanent staff role for suitably qualified and experienced candidates. At Sword, our core values and culture are based on caring about our people, investing in training and career development, and building inclusive teams where we are all encouraged to contribute to achieve success. We offer comprehensive benefits designed to support your professional development and enhance your overall quality of life. In addition to a Competitive Salary, here's what you can expect as part of our benefits package: Benefits Personalised Career Development: We create a development plan customised to your goals and aspirations, with a range of learning and development opportunities within a culture that encourages growth. Flexible working: Flexible work arrangements to support your work life balance. We can't promise to always be able to meet every request, however, are keen to discuss your individual preferences to make it work where we can. A Fantastic Benefits Package: This includes generous annual leave allowance, enhanced family friendly benefits, pension scheme, access to private health, well being, and insurance schemes. At Sword we are dedicated to fostering a diverse and inclusive workplace and are proud to be an equal opportunities employer, ensuring that all applicants receive fair and equal consideration for employment, regardless of whether they meet every requirement. If you don't tick all the boxes but feel you have some of the relevant skills and experience we're looking for, please do consider applying and highlight your transferable skills and experience. We embrace diversity in all its forms, valuing individuals regardless of age, disability, gender identity or reassignment, marital or civil partner status, pregnancy or maternity status, race, colour, nationality, ethnic or national origin, religion or belief, sex, or sexual orientation. Your perspective and potential are important to us. If we can do anything to help make the hiring process more accessible, please let our talent acquisition team know when you apply so we can support any adjustments.
26/07/2026
Full time
Sword is a leading provider of business technology solutions within the Energy, Public and Finance Sectors, driving real transformation change within our clients. We use proven technology, specialist teams and domain expertise to build solid technical foundations across platforms, data and business applications. We have a passion for using technology to solve business problems, working in partnership with our clients to help in achieving their goals. To support significant M&A and Integration projects across a range of domain sectors, this ongoing contract opportunity will lead the design and delivery of modern endpoint and workplace solutions across Microsoft Intune, Windows Autopilot, Windows Autopatch and Microsoft Entra ID. Responsibilities Assess current environments and define target state architectures, migration approaches and implementation roadmaps. Produce high quality design documentation including assessments, high level designs, low level designs and implementation plans. Provide technical leadership across discovery, design, implementation, testing and transition to support. Design secure, scalable and supportable solutions aligned to Zero Trust principles and organisational compliance requirements. Work closely with clients and internal teams to shape requirements, run workshops and guide technical decision making. Support endpoint security design across compliance, device configuration, identity integration and protection capabilities. Contribute to pre sales activity including solution shaping, technical input to proposals, statements of work and delivery estimates. Act as a trusted advisor to clients and a senior technical authority within endpoint transformation engagements. Support practice development through reusable standards, architecture patterns and continuous improvement. Qualifications Proven ability to lead the architecture, design and hands on delivery of complex endpoint or modern workplace solutions for mid market and enterprise customers. Strong experience acting as the senior technical lead across discovery, design, implementation, migration and operational handover activities. Demonstrable experience in technical consulting, engineering or architecture roles, with significant focus on endpoint management, security and modern workplace transformation. Experience producing and owning assessments, strategies, roadmaps, high level designs, low level designs, implementation plans, standards and operational architecture artefacts. Ability to build trusted client relationships, provide technical leadership to engineers and influence stakeholders at both technical and leadership levels. Relevant Microsoft certifications such as MD 102, MS 102, SC 300, AZ 104 or expert level architecture or security certifications are desirable. Experience working in security conscious or regulated environments; SC and/or NPPV3 clearance would be beneficial but is not essential. Essential Experience Deep hands on expertise in modern endpoint architecture using Microsoft Intune across Windows 10/11, iOS/iPadOS and Android, with sound awareness of macOS management principles. Designing and implementing Windows Autopilot and modern provisioning strategies, including enrolment models, ESP optimisation, deployment profiles, identity integration and lifecycle considerations. Architecting Windows servicing and device lifecycle strategies using Windows Update for Business, feature updates, driver and firmware controls, and Windows Autopatch. Strong experience with application packaging, testing and deployment, including Win32 applications, Microsoft 365 Apps, the modern Microsoft Store and automation led deployment approaches. Strong understanding of Microsoft Entra ID, Conditional Access, MFA, device compliance and identity driven access controls, with the ability to align endpoint architecture to Zero Trust principles. Hands on experience designing and implementing endpoint security controls using security baselines, Settings Catalog, BitLocker, Windows Hello for Business, Cloud LAPS, Microsoft Defender for Endpoint, WDAC and AppLocker. Strong capability in MDM/MAM design with Intune, including app protection, BYOD strategy, corporate owned device management and platform governance. Good knowledge of Active Directory, hybrid identity, Entra Connect Sync and Cloud Sync, certificate management, RBAC and dependency mapping across the wider Microsoft 365 platform. Ability to translate business, security and operational requirements into practical architecture standards, implementation designs and supportable service outcomes. Experience using PowerShell and Microsoft Graph to support automation, reporting, configuration consistency and operational efficiency. Desirable Experience Co management capabilities and integration with Microsoft Configuration Manager. Intune Suite capabilities such as Remote Help, Endpoint Privilege Management, Advanced Analytics or Cloud PKI. Microsoft Tunnel, specialist mobile management scenarios, and broader cross platform endpoint management practices. Designing and deploying Windows 365 Cloud PC and/or Azure Virtual Desktop solutions as part of a wider modern workplace strategy. Dynamic groups, assignment filters, policy sets and reporting or dashboarding for endpoint posture and service performance. Good understanding of wider Microsoft 365 workloads and how endpoint, identity, security and collaboration services integrate. Awareness of Microsoft Security Copilot or AI assisted operations in endpoint and security administration. This opportunity is offered on a contract basis and can operate Outside IR35 or an a PAYE basis. There will also be the option of a permanent staff role for suitably qualified and experienced candidates. At Sword, our core values and culture are based on caring about our people, investing in training and career development, and building inclusive teams where we are all encouraged to contribute to achieve success. We offer comprehensive benefits designed to support your professional development and enhance your overall quality of life. In addition to a Competitive Salary, here's what you can expect as part of our benefits package: Benefits Personalised Career Development: We create a development plan customised to your goals and aspirations, with a range of learning and development opportunities within a culture that encourages growth. Flexible working: Flexible work arrangements to support your work life balance. We can't promise to always be able to meet every request, however, are keen to discuss your individual preferences to make it work where we can. A Fantastic Benefits Package: This includes generous annual leave allowance, enhanced family friendly benefits, pension scheme, access to private health, well being, and insurance schemes. At Sword we are dedicated to fostering a diverse and inclusive workplace and are proud to be an equal opportunities employer, ensuring that all applicants receive fair and equal consideration for employment, regardless of whether they meet every requirement. If you don't tick all the boxes but feel you have some of the relevant skills and experience we're looking for, please do consider applying and highlight your transferable skills and experience. We embrace diversity in all its forms, valuing individuals regardless of age, disability, gender identity or reassignment, marital or civil partner status, pregnancy or maternity status, race, colour, nationality, ethnic or national origin, religion or belief, sex, or sexual orientation. Your perspective and potential are important to us. If we can do anything to help make the hiring process more accessible, please let our talent acquisition team know when you apply so we can support any adjustments.
Overleaf Enterprise is seeking a Senior Business Intelligence Data Engineer to design and maintain robust data pipelines and transformations using Google BigQuery. This remote role requires strong SQL skills and experience in cloud-based data environments. The ideal candidate will collaborate with cross-functional teams, ensuring best practices for data governance and quality while developing ETL processes. This role is essential for driving insights and improving data accessibility across the organization.
26/07/2026
Full time
Overleaf Enterprise is seeking a Senior Business Intelligence Data Engineer to design and maintain robust data pipelines and transformations using Google BigQuery. This remote role requires strong SQL skills and experience in cloud-based data environments. The ideal candidate will collaborate with cross-functional teams, ensuring best practices for data governance and quality while developing ETL processes. This role is essential for driving insights and improving data accessibility across the organization.
At Framestore's Oscar-winning Technology team, innovation is at the heart of what we do, whether this be developing new techniques, new ideas or creative new ways to tell our clients' stories. Underpinning all of this is a long tradition of research, technology and development - from engineering our bespoke software solutions to gaining early access to bleeding-edge technology and forging vibrant partnerships with leading academic and scientific institutions. Framestore combines talent and technology to bring life to everything we create. Driven by creativity and inspired by the future, we set out every day to reframe the possible. About the Role This is a new, hands on role within our team. You'll play a vital part in building the future of our cloud first and machine learning strategies, writing the core software and automation that drives them. In this role, you will be actively developing high availability automation workflows and building resilient big data pipelines that scale compute across the business. You will provide cloud and systems support for developers building complex agentic applications, while driving DevOps best practices to ensure our cloud services are built for the future. You'll drive the evolution of our cloud infrastructure by designing and implementing automation solutions that scale across the organisation. Your work will span cloud native practices, machine learning infrastructure, and intelligent systems that keep our environment secure, resilient, and cost effective. What you'll do: Build highly available automation workflows and orchestrators that enable distributed builds, cross platform compute scaling, and deployment of AI agents and data heavy models Design and implement event driven automation and self healing cloud systems that proactively detect, diagnose, and remediate infrastructure anomalies Architect robust cloud security frameworks, identity management, and automated governance baselines across our global footprint Design and optimise big data infrastructure for handling large metadata datasets and media assets, whilst identifying opportunities to reduce infrastructure spend without compromising performance Essential Skills: Experience designing high availability, multi environment cloud infrastructure using IaC (ideally Terraform) and container orchestration Proven track record in the design and management of cloud based data systems, such as Snowflake or BigQuery A strong software background (ideally Python) with a proven track record of architecting scalable services and APIs Ability to build, scale, and secure distributed automation pipelines (like GitLab CI) focusing on performance, caching, and testing frameworks Experience supporting engineering teams, championing DevSecOps best practices, and collaborating with tech leadership Strong communication skills, with the ability to bridge the gap between infrastructure engineering and development team workflows Nice to have Skills: Experience designing setups that span cloud providers and local physical servers Knowledge of virtualisation of service applications Advanced monitoring experience using tools such as Datadog, Prometheus, or ELK. A professional level cloud certification Production experience managing complex Kubernetes clusters and high scale Docker environments. Experience using advanced data platform features like vector embeddings, clustering, and analytics to enrich large scale datasets Accessibility Statement Our London studio is fully accessible, with step free entry, accessible toilets on all floors, and quiet spaces available. We are committed to supporting disabled colleagues and providing an inclusive workplace for everyone.
26/07/2026
Full time
At Framestore's Oscar-winning Technology team, innovation is at the heart of what we do, whether this be developing new techniques, new ideas or creative new ways to tell our clients' stories. Underpinning all of this is a long tradition of research, technology and development - from engineering our bespoke software solutions to gaining early access to bleeding-edge technology and forging vibrant partnerships with leading academic and scientific institutions. Framestore combines talent and technology to bring life to everything we create. Driven by creativity and inspired by the future, we set out every day to reframe the possible. About the Role This is a new, hands on role within our team. You'll play a vital part in building the future of our cloud first and machine learning strategies, writing the core software and automation that drives them. In this role, you will be actively developing high availability automation workflows and building resilient big data pipelines that scale compute across the business. You will provide cloud and systems support for developers building complex agentic applications, while driving DevOps best practices to ensure our cloud services are built for the future. You'll drive the evolution of our cloud infrastructure by designing and implementing automation solutions that scale across the organisation. Your work will span cloud native practices, machine learning infrastructure, and intelligent systems that keep our environment secure, resilient, and cost effective. What you'll do: Build highly available automation workflows and orchestrators that enable distributed builds, cross platform compute scaling, and deployment of AI agents and data heavy models Design and implement event driven automation and self healing cloud systems that proactively detect, diagnose, and remediate infrastructure anomalies Architect robust cloud security frameworks, identity management, and automated governance baselines across our global footprint Design and optimise big data infrastructure for handling large metadata datasets and media assets, whilst identifying opportunities to reduce infrastructure spend without compromising performance Essential Skills: Experience designing high availability, multi environment cloud infrastructure using IaC (ideally Terraform) and container orchestration Proven track record in the design and management of cloud based data systems, such as Snowflake or BigQuery A strong software background (ideally Python) with a proven track record of architecting scalable services and APIs Ability to build, scale, and secure distributed automation pipelines (like GitLab CI) focusing on performance, caching, and testing frameworks Experience supporting engineering teams, championing DevSecOps best practices, and collaborating with tech leadership Strong communication skills, with the ability to bridge the gap between infrastructure engineering and development team workflows Nice to have Skills: Experience designing setups that span cloud providers and local physical servers Knowledge of virtualisation of service applications Advanced monitoring experience using tools such as Datadog, Prometheus, or ELK. A professional level cloud certification Production experience managing complex Kubernetes clusters and high scale Docker environments. Experience using advanced data platform features like vector embeddings, clustering, and analytics to enrich large scale datasets Accessibility Statement Our London studio is fully accessible, with step free entry, accessible toilets on all floors, and quiet spaces available. We are committed to supporting disabled colleagues and providing an inclusive workplace for everyone.
About the Role As Senior CPQ/CRM Salesforce Developer, you will lead hands on Salesforce development and technical delivery across ExN's Salesforce Sales Cloud and Revenue Cloud CPQ implementation. This role combines senior development expertise with technical leadership, ensuring solutions are built to high standards, follow agreed engineering principles, and can be safely deployed, maintained and scaled across future releases. Deliver Salesforce development across Sales Cloud and Revenue Cloud CPQ, using a configuration first approach and applying custom code only where standard platform capabilities are not suitable. Build scalable, secure and maintainable solutions supporting the Lead to Order journey, including quoting, approvals, pricing related automation, data validation and ERP handoff. Provide technical guidance to developers and administrators through design collaboration, code reviews, troubleshooting and Salesforce development best practice. Support and help govern the Salesforce DevOps process, including source control, branching strategy, deployment discipline, environment promotion and release governance. Work closely with the CPQ/CRM delivery partner to review technical outputs, understand implementation decisions and support knowledge transfer from R1 into future ExN led releases. Support integration, testing, defect resolution, go live and hyper care activities across Salesforce, Revenue Cloud CPQ, ERP, MDM/PIM and Workflow Ingestion touchpoints. Qualifications and Experience 5+ years of Salesforce development experience, including hands on Apex, SOQL, Lightning Web Components and Salesforce configuration. Strong experience with Salesforce Sales Cloud and Salesforce CPQ (or Revenue Cloud CPQ), with a good understanding of Lead to Order, pricing, approvals and downstream ERP processes. Experience with Salesforce Flows, validation rules, approval processes, permission sets, declarative automation, data modelling, sharing model and metadata dependencies. Understanding of integration patterns including REST APIs, platform events, middleware and asynchronous processing. Experience with Azure DevOps or similar source control and CI/CD platforms, as well as Salesforce DevOps tools such as Gearset, Copado, Salesforce DX or equivalent. Quality driven, technically curious and collaborative, with the ability to guide other developers, improve engineering practices and take ownership of code quality, deployment safety and long term maintainability. We are proud to be an Equal Opportunity Employer. We are committed to the recruitment and hiring of individuals from diverse backgrounds and experiences. We do not discriminate against individuals on the basis of race, religion, color, national origin, gender, sexual orientation, disability status or any similar characteristic. Employment decisions are made solely on the basis of qualifications, merit, and business need.
26/07/2026
Full time
About the Role As Senior CPQ/CRM Salesforce Developer, you will lead hands on Salesforce development and technical delivery across ExN's Salesforce Sales Cloud and Revenue Cloud CPQ implementation. This role combines senior development expertise with technical leadership, ensuring solutions are built to high standards, follow agreed engineering principles, and can be safely deployed, maintained and scaled across future releases. Deliver Salesforce development across Sales Cloud and Revenue Cloud CPQ, using a configuration first approach and applying custom code only where standard platform capabilities are not suitable. Build scalable, secure and maintainable solutions supporting the Lead to Order journey, including quoting, approvals, pricing related automation, data validation and ERP handoff. Provide technical guidance to developers and administrators through design collaboration, code reviews, troubleshooting and Salesforce development best practice. Support and help govern the Salesforce DevOps process, including source control, branching strategy, deployment discipline, environment promotion and release governance. Work closely with the CPQ/CRM delivery partner to review technical outputs, understand implementation decisions and support knowledge transfer from R1 into future ExN led releases. Support integration, testing, defect resolution, go live and hyper care activities across Salesforce, Revenue Cloud CPQ, ERP, MDM/PIM and Workflow Ingestion touchpoints. Qualifications and Experience 5+ years of Salesforce development experience, including hands on Apex, SOQL, Lightning Web Components and Salesforce configuration. Strong experience with Salesforce Sales Cloud and Salesforce CPQ (or Revenue Cloud CPQ), with a good understanding of Lead to Order, pricing, approvals and downstream ERP processes. Experience with Salesforce Flows, validation rules, approval processes, permission sets, declarative automation, data modelling, sharing model and metadata dependencies. Understanding of integration patterns including REST APIs, platform events, middleware and asynchronous processing. Experience with Azure DevOps or similar source control and CI/CD platforms, as well as Salesforce DevOps tools such as Gearset, Copado, Salesforce DX or equivalent. Quality driven, technically curious and collaborative, with the ability to guide other developers, improve engineering practices and take ownership of code quality, deployment safety and long term maintainability. We are proud to be an Equal Opportunity Employer. We are committed to the recruitment and hiring of individuals from diverse backgrounds and experiences. We do not discriminate against individuals on the basis of race, religion, color, national origin, gender, sexual orientation, disability status or any similar characteristic. Employment decisions are made solely on the basis of qualifications, merit, and business need.
Senior IT Infrastructure Officer Our Client a bank, in Central London are looking for an experienced IT Infrastructure professional who is ideally looking for their next challenge in a dynamic and regulated financial services environment. We are seeking a highly skilled Senior IT Infrastructure Officer to lead the management, security, and continuous improvement of our enterprise IT infrastructure. The Senior IT Infrastructure Officer will be playing a key role in ensuring the availability, resilience, and performance of critical systems while supporting technologies across servers, networks, cloud services, cybersecurity, and business-critical financial applications. The candidate must have strong technical expertise in Windows/Linux, VMware, Microsoft 365, networking, cybersecurity, and infrastructure management who also enjoys solving complex challenges and driving operational excellence. Must have 7 years' experience in enterprise infrastructure, ideally within banking or financial services, and be passionate about delivering secure, reliable IT services. The role will be Monday to Friday, 9:30am to 5:30pm and reporting into the Head of IT & Data. Due to the nature of the role, the individual is expected to work in our offices, 5 days per week, during their probationary period. Infrastructure & Systems Management Administer, maintain, and optimize Windows and Linux server environments. Manage VMware virtualized infrastructure (vSphere 8 and above). Oversee enterprise backup and disaster recovery solutions using Veeam Backup & Replication. Manage Veeam ONE monitoring and Veeam Recovery Orchestrator (VRO) environments. Administer endpoint security and encryption solutions, including Symantec Endpoint Protection (SEP) and Symantec Endpoint Encryption (SEE). Support endpoint DLP, SIEM, and security monitoring tools (e.g., Splunk, Tenable). Manage patching processes using ManageEngine Patch Manager Plus. Support Microsoft 365 services and related cloud technologies. In depth understanding of Cyber security Monitor system performance, capacity, availability, and infrastructure health. Ensure compliance with IT governance, security policies, and operational standards. End-User Computing & Branch Support Provide advanced desktop, laptop, printer, Mobile device (iOS) and branch office IT support. Deliver AV support for meeting rooms, conferencing, presentations, and collaboration systems. Manage OS deployment, imaging, image creation, maintenance, and software packaging. Administer Active Directory (AD), Group Policy Objects (GPOs) and user provisioning and NTFS permissions. Support Microsoft 365 applications including Outlook, Teams, OneDrive, and SharePoint. Resolve technical incidents and service requests in line with agreed SLAs. 3. Enterprise Applications & Financial Systems Support Support and administer business-critical applications, including Bloomberg FXT and Refinitiv Eikon, Murex Treasury System, SWIFT Alliance Access (SAA), 1AML, SIBS, GFMS, COP. Support enterprise file synchronization and replication solutions (e.g., Syncovery, other SFTP). 4. Networking Configure and support Cisco switches and routers. Administer FortiGate firewall environments. Strong network fundamentals: DNS, DHCP, TCP/IP, LAN/WAN, Routing and connectivity troubleshooting. Monitor network performance, availability, and security posture. Security & Endpoint Management Support vulnerability management using tools such as Tenable. Manage security monitoring and log analysis tools (e.g., Splunk). Perform SSL/TLS certificate lifecycle management using OpenSSL. Create and manage CSRs, certificate chains, and private keys. Ensure adherence to cybersecurity policies, standards, and regulatory requirements. Support physical access control systems (e.g., Paxton). Operating Systems Windows 11 Windows Server 2019/2022 (or equivalent enterprise environments) Red Hat Linux Infrastructure & Virtualization VMware vSphere / vCenter (v8.0.3 and above) Veeam Backup & Replication Veeam ONE, VRO Microsoft Office 365 ManageEngine Patch Manager Plus SAAS solutions SQL Server Hardware & Storage Dell PowerEdge Servers Dell PowerVault SAN Storage Education Bachelor or Master's degree or professional qualification in relevant discipline (IT/Information Systems/Computer Science/Technology/Programming/Information Science/System Engineering/Computing) The role is based in Central London and initially will be in the office 5 days per week. This is a 12 month FTC position. The salary for the role will be circa £70K - £75K.
26/07/2026
Full time
Senior IT Infrastructure Officer Our Client a bank, in Central London are looking for an experienced IT Infrastructure professional who is ideally looking for their next challenge in a dynamic and regulated financial services environment. We are seeking a highly skilled Senior IT Infrastructure Officer to lead the management, security, and continuous improvement of our enterprise IT infrastructure. The Senior IT Infrastructure Officer will be playing a key role in ensuring the availability, resilience, and performance of critical systems while supporting technologies across servers, networks, cloud services, cybersecurity, and business-critical financial applications. The candidate must have strong technical expertise in Windows/Linux, VMware, Microsoft 365, networking, cybersecurity, and infrastructure management who also enjoys solving complex challenges and driving operational excellence. Must have 7 years' experience in enterprise infrastructure, ideally within banking or financial services, and be passionate about delivering secure, reliable IT services. The role will be Monday to Friday, 9:30am to 5:30pm and reporting into the Head of IT & Data. Due to the nature of the role, the individual is expected to work in our offices, 5 days per week, during their probationary period. Infrastructure & Systems Management Administer, maintain, and optimize Windows and Linux server environments. Manage VMware virtualized infrastructure (vSphere 8 and above). Oversee enterprise backup and disaster recovery solutions using Veeam Backup & Replication. Manage Veeam ONE monitoring and Veeam Recovery Orchestrator (VRO) environments. Administer endpoint security and encryption solutions, including Symantec Endpoint Protection (SEP) and Symantec Endpoint Encryption (SEE). Support endpoint DLP, SIEM, and security monitoring tools (e.g., Splunk, Tenable). Manage patching processes using ManageEngine Patch Manager Plus. Support Microsoft 365 services and related cloud technologies. In depth understanding of Cyber security Monitor system performance, capacity, availability, and infrastructure health. Ensure compliance with IT governance, security policies, and operational standards. End-User Computing & Branch Support Provide advanced desktop, laptop, printer, Mobile device (iOS) and branch office IT support. Deliver AV support for meeting rooms, conferencing, presentations, and collaboration systems. Manage OS deployment, imaging, image creation, maintenance, and software packaging. Administer Active Directory (AD), Group Policy Objects (GPOs) and user provisioning and NTFS permissions. Support Microsoft 365 applications including Outlook, Teams, OneDrive, and SharePoint. Resolve technical incidents and service requests in line with agreed SLAs. 3. Enterprise Applications & Financial Systems Support Support and administer business-critical applications, including Bloomberg FXT and Refinitiv Eikon, Murex Treasury System, SWIFT Alliance Access (SAA), 1AML, SIBS, GFMS, COP. Support enterprise file synchronization and replication solutions (e.g., Syncovery, other SFTP). 4. Networking Configure and support Cisco switches and routers. Administer FortiGate firewall environments. Strong network fundamentals: DNS, DHCP, TCP/IP, LAN/WAN, Routing and connectivity troubleshooting. Monitor network performance, availability, and security posture. Security & Endpoint Management Support vulnerability management using tools such as Tenable. Manage security monitoring and log analysis tools (e.g., Splunk). Perform SSL/TLS certificate lifecycle management using OpenSSL. Create and manage CSRs, certificate chains, and private keys. Ensure adherence to cybersecurity policies, standards, and regulatory requirements. Support physical access control systems (e.g., Paxton). Operating Systems Windows 11 Windows Server 2019/2022 (or equivalent enterprise environments) Red Hat Linux Infrastructure & Virtualization VMware vSphere / vCenter (v8.0.3 and above) Veeam Backup & Replication Veeam ONE, VRO Microsoft Office 365 ManageEngine Patch Manager Plus SAAS solutions SQL Server Hardware & Storage Dell PowerEdge Servers Dell PowerVault SAN Storage Education Bachelor or Master's degree or professional qualification in relevant discipline (IT/Information Systems/Computer Science/Technology/Programming/Information Science/System Engineering/Computing) The role is based in Central London and initially will be in the office 5 days per week. This is a 12 month FTC position. The salary for the role will be circa £70K - £75K.
Founding AI Engineer Future Head of AI Venture-Backed FinTech Start up Equity Opportunity Manchester We're partnering with an ambitious, early-stage fintech business on a mission to transform how consumers engage with and improve their financial wellbeing. Having achieved strong early validation and entered its next phase of growth, the company is seeking a highly capable AI Engineer to become the first dedicated AI hire and ultimately build and lead the AI function. This is a rare opportunity to join at a formative stage, influence product direction, and create AI capabilities that sit at the heart of the customer experience. For the right individual, there is a clear pathway into a future Head of AI position, alongside meaningful equity participation. The Role This is not a traditional engineering role. You will operate as a builder, architect, and strategic partner to the founders, helping shape both the AI roadmap and the wider product vision. The business sees AI as a core differentiator, not an add-on feature. You will be responsible for designing, building, and scaling intelligent systems that enhance customer engagement, personalisation, automation, and decision-making. Key Responsibilities AI Product Development Design and deploy AI-powered customer experiences Build intelligent recommendation and personalisation systems Create AI-driven workflows that deliver measurable user value Rapidly prototype, test and launch new AI capabilities Agentic AI & Automation Design and implement agent-based architectures Build autonomous and semi-autonomous workflows Develop multi-agent systems where appropriate Leverage modern orchestration frameworks to improve customer outcomes AI Infrastructure & Architecture Build scalable AI foundations and pipelines Develop retrieval and knowledge-management systems Implement evaluation, monitoring and governance frameworks Ensure solutions are secure, reliable and production-ready Strategic Contribution Work closely with founders on AI strategy Help identify commercially valuable AI opportunities Influence product direction and roadmap decisions Act as the internal AI subject matter expert Future Leadership As the business scales, you will: Define the AI hiring strategy Recruit and mentor future AI talent Establish AI standards and best practices Build and lead the AI function What We're Looking For Technical Experience Software engineering or machine learning engineering Proven experience building production AI applications Strong Python engineering capability Experience deploying AI products into real-world environments Experience with several of: LLM applications Agentic AI frameworks Multi-agent systems RAG architectures Vector databases AI orchestration platforms AI evaluation and observability tools Model optimisation and fine-tuning Mindset We're particularly interested in individuals who: Thrive in startup environments Enjoy building from zero to one Think commercially as well as technically Are naturally curious about emerging AI capabilities Move quickly and take ownership Want to help build a company, not just a product Ideal Backgrounds Senior AI Engineer Lead AI Engineer Founding AI Engineer Applied AI Engineer AI Product Engineer Machine Learning Engineer (LLM Focus) AI Solutions Architect What's on Offer Competitive salary Meaningful equity opportunity Direct access to founders and strategic decision-making Significant autonomy and ownership Flexible working environment Clear progression pathway to Head of AI Why This Role? Few opportunities offer the chance to join at such an early stage and genuinely shape the future of a business. If you're excited by ownership, AI innovation, startup pace, and the opportunity to build a function from the ground up, we'd love to hear from you. Apply in confidence for a confidential discussion.
26/07/2026
Full time
Founding AI Engineer Future Head of AI Venture-Backed FinTech Start up Equity Opportunity Manchester We're partnering with an ambitious, early-stage fintech business on a mission to transform how consumers engage with and improve their financial wellbeing. Having achieved strong early validation and entered its next phase of growth, the company is seeking a highly capable AI Engineer to become the first dedicated AI hire and ultimately build and lead the AI function. This is a rare opportunity to join at a formative stage, influence product direction, and create AI capabilities that sit at the heart of the customer experience. For the right individual, there is a clear pathway into a future Head of AI position, alongside meaningful equity participation. The Role This is not a traditional engineering role. You will operate as a builder, architect, and strategic partner to the founders, helping shape both the AI roadmap and the wider product vision. The business sees AI as a core differentiator, not an add-on feature. You will be responsible for designing, building, and scaling intelligent systems that enhance customer engagement, personalisation, automation, and decision-making. Key Responsibilities AI Product Development Design and deploy AI-powered customer experiences Build intelligent recommendation and personalisation systems Create AI-driven workflows that deliver measurable user value Rapidly prototype, test and launch new AI capabilities Agentic AI & Automation Design and implement agent-based architectures Build autonomous and semi-autonomous workflows Develop multi-agent systems where appropriate Leverage modern orchestration frameworks to improve customer outcomes AI Infrastructure & Architecture Build scalable AI foundations and pipelines Develop retrieval and knowledge-management systems Implement evaluation, monitoring and governance frameworks Ensure solutions are secure, reliable and production-ready Strategic Contribution Work closely with founders on AI strategy Help identify commercially valuable AI opportunities Influence product direction and roadmap decisions Act as the internal AI subject matter expert Future Leadership As the business scales, you will: Define the AI hiring strategy Recruit and mentor future AI talent Establish AI standards and best practices Build and lead the AI function What We're Looking For Technical Experience Software engineering or machine learning engineering Proven experience building production AI applications Strong Python engineering capability Experience deploying AI products into real-world environments Experience with several of: LLM applications Agentic AI frameworks Multi-agent systems RAG architectures Vector databases AI orchestration platforms AI evaluation and observability tools Model optimisation and fine-tuning Mindset We're particularly interested in individuals who: Thrive in startup environments Enjoy building from zero to one Think commercially as well as technically Are naturally curious about emerging AI capabilities Move quickly and take ownership Want to help build a company, not just a product Ideal Backgrounds Senior AI Engineer Lead AI Engineer Founding AI Engineer Applied AI Engineer AI Product Engineer Machine Learning Engineer (LLM Focus) AI Solutions Architect What's on Offer Competitive salary Meaningful equity opportunity Direct access to founders and strategic decision-making Significant autonomy and ownership Flexible working environment Clear progression pathway to Head of AI Why This Role? Few opportunities offer the chance to join at such an early stage and genuinely shape the future of a business. If you're excited by ownership, AI innovation, startup pace, and the opportunity to build a function from the ground up, we'd love to hear from you. Apply in confidence for a confidential discussion.
Your Mission As Senior Analytics Engineer, you'll own, uplift and maintain NALA's data transformation layer - the foundation that all reporting, governed metrics, self serve analytics and AI powered capabilities depend on. Your work will add semantic richness, structure and governance to NALA's data, ensuring every model is documented, tested and described in a way that both humans and AI agents can interpret and trust. Agentic analytics is arriving fast, and this role exists to help ensure NALA's data foundation is ready for it. Your Responsibilities in this Role Own the transformation layer (dbt + Snowflake) - refactoring, enforcing best practices, and evolving our data stack to a best in class standard Take ownership of streaming data pipelines alongside batch transformation - ensuring real time and near real time data flows are reliable, cost efficient and well integrated into the broader data architecture Establish and enforce coding & agentic coding standards, systematic testing and documentation as CI enforced defaults across all data models Optimise warehouse performance and cost efficiency, identifying and resolving the query patterns and materialisation choices driving unnecessary spend Build the foundation for AI powered self serve by ensuring models carry the semantic richness and documentation that agents need to return reliable answers Scope and resolve orchestration decisions (dbt Cloud vs Dagster) and own the infrastructure roadmap for the transformation layer Support and mentor analysts on analytics engineering best practices, raising the engineering standard across the team Must-have requirements 4+ years hands on experience with dbt (ideally fusion) - building, refactoring and maintaining production grade transformation layers Strong SQL, Python and data modelling skills with a clear understanding of warehousing and modern data architecture Snowflake or Databricks experience including query performance tuning and cost optimisation Deep proficiency with AI assisted development workflows (Cursor, Windsurf, Claude Code) to force multiply engineering output and accelerate delivery Track record of implementing testing, CI/CD, documentation standards and PR review workflows in dbt projects Comfortable owning an infrastructure roadmap - can assess the current state, propose a plan and execute without being directed step by step Nice to have requirements Semantic layer experience (Cube, dbt Semantic Layer) and understanding of how governed metric definitions sit on top of a transformation layer Familiarity with orchestration tools (Dagster, Airflow, dbt Cloud etc) Experience with Hex or similar modern BI/notebook platforms Experience in fintech, payments or regulated environments where data accuracy and governance carry real business consequences Familiarity with experimentation frameworks and product analytics Success in the role looks like 3-Month Metrics Full ownership of the transformation layer and warehouse, with a clear understanding of the current architecture, cost drivers and priorities 6-Month Metrics Full ownership of warehouse coding standards, data architecture and infrastructure Measurable improvement in the cost and efficiency of supplying data to the business A clear data infrastructure roadmap delivered for the following 6 months Benefits 27 Days Off Plus UK Bank Holidays: Take the time to decompress. Working at a startup is hard! Birthday Leave: Celebrate your special day with a bonus day off to take off in that month. Enhanced Parental Leave: We offer 16 weeks of full pay for the primary caregiver and 4 weeks of full pay for the secondary caregiver (After a 6-month probationary period) Enhanced Pension: Salary sacrifice pension scheme via Penfold giving you flexibility and control on how you save for your future! Global Workspace: Get access to WeWork locations worldwide. Learning Budget : Fuel your growth with $1000 annually for learning and development. Sarabi: Themed snacks and Friday lunch focused on building great working relationships with the team. Monthly Socials: Join fun social events every month for great times. Free Coffee: Enjoy barista style coffee at your fingertips.
26/07/2026
Full time
Your Mission As Senior Analytics Engineer, you'll own, uplift and maintain NALA's data transformation layer - the foundation that all reporting, governed metrics, self serve analytics and AI powered capabilities depend on. Your work will add semantic richness, structure and governance to NALA's data, ensuring every model is documented, tested and described in a way that both humans and AI agents can interpret and trust. Agentic analytics is arriving fast, and this role exists to help ensure NALA's data foundation is ready for it. Your Responsibilities in this Role Own the transformation layer (dbt + Snowflake) - refactoring, enforcing best practices, and evolving our data stack to a best in class standard Take ownership of streaming data pipelines alongside batch transformation - ensuring real time and near real time data flows are reliable, cost efficient and well integrated into the broader data architecture Establish and enforce coding & agentic coding standards, systematic testing and documentation as CI enforced defaults across all data models Optimise warehouse performance and cost efficiency, identifying and resolving the query patterns and materialisation choices driving unnecessary spend Build the foundation for AI powered self serve by ensuring models carry the semantic richness and documentation that agents need to return reliable answers Scope and resolve orchestration decisions (dbt Cloud vs Dagster) and own the infrastructure roadmap for the transformation layer Support and mentor analysts on analytics engineering best practices, raising the engineering standard across the team Must-have requirements 4+ years hands on experience with dbt (ideally fusion) - building, refactoring and maintaining production grade transformation layers Strong SQL, Python and data modelling skills with a clear understanding of warehousing and modern data architecture Snowflake or Databricks experience including query performance tuning and cost optimisation Deep proficiency with AI assisted development workflows (Cursor, Windsurf, Claude Code) to force multiply engineering output and accelerate delivery Track record of implementing testing, CI/CD, documentation standards and PR review workflows in dbt projects Comfortable owning an infrastructure roadmap - can assess the current state, propose a plan and execute without being directed step by step Nice to have requirements Semantic layer experience (Cube, dbt Semantic Layer) and understanding of how governed metric definitions sit on top of a transformation layer Familiarity with orchestration tools (Dagster, Airflow, dbt Cloud etc) Experience with Hex or similar modern BI/notebook platforms Experience in fintech, payments or regulated environments where data accuracy and governance carry real business consequences Familiarity with experimentation frameworks and product analytics Success in the role looks like 3-Month Metrics Full ownership of the transformation layer and warehouse, with a clear understanding of the current architecture, cost drivers and priorities 6-Month Metrics Full ownership of warehouse coding standards, data architecture and infrastructure Measurable improvement in the cost and efficiency of supplying data to the business A clear data infrastructure roadmap delivered for the following 6 months Benefits 27 Days Off Plus UK Bank Holidays: Take the time to decompress. Working at a startup is hard! Birthday Leave: Celebrate your special day with a bonus day off to take off in that month. Enhanced Parental Leave: We offer 16 weeks of full pay for the primary caregiver and 4 weeks of full pay for the secondary caregiver (After a 6-month probationary period) Enhanced Pension: Salary sacrifice pension scheme via Penfold giving you flexibility and control on how you save for your future! Global Workspace: Get access to WeWork locations worldwide. Learning Budget : Fuel your growth with $1000 annually for learning and development. Sarabi: Themed snacks and Friday lunch focused on building great working relationships with the team. Monthly Socials: Join fun social events every month for great times. Free Coffee: Enjoy barista style coffee at your fingertips.
Career Opportunities: Delivery Consultant - Operational Risk (11234) Requisition ID11234-Posted - Years of Experience (1) -Consulting- Where (1) Airwalk Reply is the ReplyGroup companyspecialisedin the design and delivery ofcloud-basedservices and solutions, driving technology-led transformational change in complex, regulated industries such as Financial Services,Governmentand the Public Sector. We bring a unique combination of deep technical subject matterexpertiseacross technology strategy, architecture, service design,engineeringand security, alongside business domainexpertiseanda heavyweightdelivery capability. Role Overview: As a Delivery Consultant, you will support the successful delivery of complex consulting engagements across enterprise clients. You will contribute to initiatives within resilience, infrastructure, and cloud programmes, with exposure to Operational/Technology Resilience or IT Security remediation. The role focuses on delivery excellence, stakeholder management, and effective programme coordination. Working alongside senior SMEs and technical specialists, you will ensure programmes are well-structured, properly governed, and executed efficiently. Responsibilities: Lead the planning, mobilisation, and delivery of workstreams within consulting engagements Manage programme governance, including status reporting, RAID management, and coordination of steering and working groups Act as a central point of coordination across client stakeholders, consulting teams, and technical SMEs Build and maintain strong relationships with stakeholders across business, technology, and risk functions Proactively identify and manage delivery risks and issues, driving resolution Ensure alignment across multiple workstreams and dependencies Facilitate workshops, meetings, and stakeholder forums Support the creation of high-quality client deliverables and ensure delivery remains aligned to programme objectives About the Candidate: 3-5 years' experience in consulting delivery roles, programme/project management, and Operational Resilience programmes Strong stakeholder management and communication skills Proven ability to manage delivery in complex environments (e.g. Financial Services, Public Sector, large enterprises) Strong delivery management capability, including planning, tracking, and reporting Experience working in or alongside technology-driven programmes (infrastructure, cloud, or security) Ability to confidently engage with technical stakeholders (architects, engineers) without needing to be hands-on Highly organised, with the ability to manage multiple priorities and deadlines Subject matter experience in resilience, business continuity, disaster recovery, cloud transformation, infrastructure change, or cyber/data security, along with familiarity with AWS or Microsoft Azure, would be beneficial Exposure to regulated environments (particularly Financial Services), understanding of risk, controls and governance frameworks, and experience with delivery methodologies such as Agile, Waterfall, or hybrid approaches would be advantageous Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. We provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type regardless of age, sexual orientation, gender, identity, pregnancy, religion, nationality, ethnic origin, disability, medical history, skincolour, marital status or parental status or any other characteristic protected by the Law. Reply is committed to making sure that our selection methods are fair to everyone. To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need.
26/07/2026
Full time
Career Opportunities: Delivery Consultant - Operational Risk (11234) Requisition ID11234-Posted - Years of Experience (1) -Consulting- Where (1) Airwalk Reply is the ReplyGroup companyspecialisedin the design and delivery ofcloud-basedservices and solutions, driving technology-led transformational change in complex, regulated industries such as Financial Services,Governmentand the Public Sector. We bring a unique combination of deep technical subject matterexpertiseacross technology strategy, architecture, service design,engineeringand security, alongside business domainexpertiseanda heavyweightdelivery capability. Role Overview: As a Delivery Consultant, you will support the successful delivery of complex consulting engagements across enterprise clients. You will contribute to initiatives within resilience, infrastructure, and cloud programmes, with exposure to Operational/Technology Resilience or IT Security remediation. The role focuses on delivery excellence, stakeholder management, and effective programme coordination. Working alongside senior SMEs and technical specialists, you will ensure programmes are well-structured, properly governed, and executed efficiently. Responsibilities: Lead the planning, mobilisation, and delivery of workstreams within consulting engagements Manage programme governance, including status reporting, RAID management, and coordination of steering and working groups Act as a central point of coordination across client stakeholders, consulting teams, and technical SMEs Build and maintain strong relationships with stakeholders across business, technology, and risk functions Proactively identify and manage delivery risks and issues, driving resolution Ensure alignment across multiple workstreams and dependencies Facilitate workshops, meetings, and stakeholder forums Support the creation of high-quality client deliverables and ensure delivery remains aligned to programme objectives About the Candidate: 3-5 years' experience in consulting delivery roles, programme/project management, and Operational Resilience programmes Strong stakeholder management and communication skills Proven ability to manage delivery in complex environments (e.g. Financial Services, Public Sector, large enterprises) Strong delivery management capability, including planning, tracking, and reporting Experience working in or alongside technology-driven programmes (infrastructure, cloud, or security) Ability to confidently engage with technical stakeholders (architects, engineers) without needing to be hands-on Highly organised, with the ability to manage multiple priorities and deadlines Subject matter experience in resilience, business continuity, disaster recovery, cloud transformation, infrastructure change, or cyber/data security, along with familiarity with AWS or Microsoft Azure, would be beneficial Exposure to regulated environments (particularly Financial Services), understanding of risk, controls and governance frameworks, and experience with delivery methodologies such as Agile, Waterfall, or hybrid approaches would be advantageous Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. We provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type regardless of age, sexual orientation, gender, identity, pregnancy, religion, nationality, ethnic origin, disability, medical history, skincolour, marital status or parental status or any other characteristic protected by the Law. Reply is committed to making sure that our selection methods are fair to everyone. To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need.
Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Your locationYour locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.London, Manchester, Glasgow# Senior Consultant - Data & AI ArchitectureAt Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.Join our Data & AI Strategy team and be part of the future of AI consulting, where we're not just advising clients, we're actively disrupting traditional consulting models by embedding AI into every aspect of how we work.We're looking for changemakers with recent, hands-on experience in AI development, people who not only understand the technology but can connect it to the bigger picture. You'll help our clients build, scale and embed AI capabilities across their organisations, driving transformation from strategy through to execution. YOUR ROLEThis role sits at the intersection of strategy, innovation and delivery, perfect for someone who thrives on solving complex problems. From Agentic AI in risk governance, to AI sovereignty in enterprise architecture, to enabling the AI-empowered workforce of tomorrow, you'll be working at the cutting edge of what's next.We DESIGN next-generation data, analytics and AI platforms - You will design and implement scalable, secure and cost-efficient platforms that power both operational and analytical workloads, leveraging leading cloud technologies (AWS, GCP, Azure).We ENABLE hybrid cloud transformation - You will design and implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud-native solutions that unlock agility and performance.We OPTIMISE and SECURE cloud environments - You will evaluate cloud environments and provide recommendations for performance optimisation, security, cost reduction and resource efficiency. You will ensure compliance with industry standards (GDPR, HIPAA, SOC2) and implement best practices for security, IAM, encryption and data protection.We INNOVATE with data-driven solutions - You will create Proof of Concepts and Minimum Viable Products for advanced analytics and AI platforms, ensuring they align with enterprise objectives and deliver measurable business value.We AUTOMATE for speed and reliability - You will build and streamline data pipelines, infrastructure provisioning, and deployments using DevOps practices, CI/CD, and Infrastructure-as-Code tools (Terraform, CloudFormation).We DEFINE enterprise data strategy - You will shape the vision for enterprise data platforms, develop architecture blueprints, roadmaps, and communication plans that engage stakeholders and drive adoption.We DELIVER impact through design excellence - You will champion user-centric design and storytelling to create compelling data platform solutions. By applying industry frameworks (TOGAF, DAMA) and best practices, you ensure consistency, compliance, and scalability.We SUPERCHARGE delivery - We leverage the power of AI to accelerate delivery and drive innovation for our clients and our business. You will be encouraged to experiment with new AI and automation technologies to build proof of concepts, augment research and automate tasks.As part of your role alongside client work you will have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories: Business Development - Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal contribution - Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development - Training to support your career development and the skills demand within the company, certifications etc.We are looking for exceptional Data Platform Architecture & Engineering Consultants to lead the design, implementation and optimisation of modern, enterprise-grade data platforms. In this role, you will bring deep expertise in cloud-native architectures, data engineering, and DevOps practices to help organisations accelerate innovation and achieve data-driven success. YOUR PROFILEAs a member of the Data & AI Strategy Team you'll be part of the future of AI consulting. We look for individuals who align with our core values, are creative problem solvers and have a genuine interest in AI and emerging technologies. You'll be passionate about helping organisations unlock the potential of AI not just through technical delivery, but by driving strategic change.Below some of the key skills and experiences we look for in candidates. We don't expect you to hit every point - we want to build a team which has diverse backgrounds, perspectives and strengths.Key Skills Growth mindset and curiosity - You're always learning, experimenting with new technologies, and pushing the boundaries of what's possible. Problem Solving - You have strong problem solving and analytical skills, with the ability to structure complex challenges and develop clear, actionable recommendations. Excellent communication and collaboration skills - You're confident engaging with stakeholders at all levels, translating complex ideas into clear, compelling narratives. Strong understanding of data and AI technologies - Whether through hands-on development or strategic project exposure, you can confidently engage with AI concepts and tools.Technology & Delivery Experience Education: Bachelor's or Master's degree in Computer Science, Information Technology or a related field. Industry Expertise: 5+ years' experience designing and managing cloud architectures (AWS, GCP and/or Azure), including hybrid and multi-cloud solutions. Cloud Experience: Strong expertise in cloud-native services (containers, Kubernetes, serverless, microservices) combined with deep knowledge of networking, security, identity management, and compliance best practices. Infrastructure & Automation: Hands-on experience with Infrastructure-as-Code (Terraform, ARM Templates) and CI/CD automation (e.g. Google Cloud Deployment Manager, Azure CICD). Consulting background with proven stakeholder management, project scoping and budgeting experienceDesirable Experience Domain Experience: Primarily UK Public Sector, but also Banking, Financial Services and Insurance (BFSI), Consumer Products, Retail and Distribution (CPRD), Telecoms and Transport. Cloud Certifications: in GCP (e.g., Google Professional Cloud Architect) and Azure (e.g., Microsoft Certified: Azure Solutions Architect Expert). Familiarity with cloud cost management tools and best practices to optimise spend and maximise value Experience supporting and participating in the commercial cycle, including defining project scope and agreeing on budgets. Experience with Agile methodologies and cross-functional team collaboration. SC Cleared / EligibleWe're committed to using technology as a force for good. That means reducing our own carbon footprint and expanding access to the digital world for everyone. This isn't just a statement; it's a core part of who we are. In fact, Capgemini has been recognised by the Ethisphere Institute as one of the World's Most Ethical Companies for 10 consecutive years. When you join us, you become part of a team that does the right thing.Your base location will be London,
26/07/2026
Full time
Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Your locationYour locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.London, Manchester, Glasgow# Senior Consultant - Data & AI ArchitectureAt Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.Join our Data & AI Strategy team and be part of the future of AI consulting, where we're not just advising clients, we're actively disrupting traditional consulting models by embedding AI into every aspect of how we work.We're looking for changemakers with recent, hands-on experience in AI development, people who not only understand the technology but can connect it to the bigger picture. You'll help our clients build, scale and embed AI capabilities across their organisations, driving transformation from strategy through to execution. YOUR ROLEThis role sits at the intersection of strategy, innovation and delivery, perfect for someone who thrives on solving complex problems. From Agentic AI in risk governance, to AI sovereignty in enterprise architecture, to enabling the AI-empowered workforce of tomorrow, you'll be working at the cutting edge of what's next.We DESIGN next-generation data, analytics and AI platforms - You will design and implement scalable, secure and cost-efficient platforms that power both operational and analytical workloads, leveraging leading cloud technologies (AWS, GCP, Azure).We ENABLE hybrid cloud transformation - You will design and implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud-native solutions that unlock agility and performance.We OPTIMISE and SECURE cloud environments - You will evaluate cloud environments and provide recommendations for performance optimisation, security, cost reduction and resource efficiency. You will ensure compliance with industry standards (GDPR, HIPAA, SOC2) and implement best practices for security, IAM, encryption and data protection.We INNOVATE with data-driven solutions - You will create Proof of Concepts and Minimum Viable Products for advanced analytics and AI platforms, ensuring they align with enterprise objectives and deliver measurable business value.We AUTOMATE for speed and reliability - You will build and streamline data pipelines, infrastructure provisioning, and deployments using DevOps practices, CI/CD, and Infrastructure-as-Code tools (Terraform, CloudFormation).We DEFINE enterprise data strategy - You will shape the vision for enterprise data platforms, develop architecture blueprints, roadmaps, and communication plans that engage stakeholders and drive adoption.We DELIVER impact through design excellence - You will champion user-centric design and storytelling to create compelling data platform solutions. By applying industry frameworks (TOGAF, DAMA) and best practices, you ensure consistency, compliance, and scalability.We SUPERCHARGE delivery - We leverage the power of AI to accelerate delivery and drive innovation for our clients and our business. You will be encouraged to experiment with new AI and automation technologies to build proof of concepts, augment research and automate tasks.As part of your role alongside client work you will have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories: Business Development - Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal contribution - Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development - Training to support your career development and the skills demand within the company, certifications etc.We are looking for exceptional Data Platform Architecture & Engineering Consultants to lead the design, implementation and optimisation of modern, enterprise-grade data platforms. In this role, you will bring deep expertise in cloud-native architectures, data engineering, and DevOps practices to help organisations accelerate innovation and achieve data-driven success. YOUR PROFILEAs a member of the Data & AI Strategy Team you'll be part of the future of AI consulting. We look for individuals who align with our core values, are creative problem solvers and have a genuine interest in AI and emerging technologies. You'll be passionate about helping organisations unlock the potential of AI not just through technical delivery, but by driving strategic change.Below some of the key skills and experiences we look for in candidates. We don't expect you to hit every point - we want to build a team which has diverse backgrounds, perspectives and strengths.Key Skills Growth mindset and curiosity - You're always learning, experimenting with new technologies, and pushing the boundaries of what's possible. Problem Solving - You have strong problem solving and analytical skills, with the ability to structure complex challenges and develop clear, actionable recommendations. Excellent communication and collaboration skills - You're confident engaging with stakeholders at all levels, translating complex ideas into clear, compelling narratives. Strong understanding of data and AI technologies - Whether through hands-on development or strategic project exposure, you can confidently engage with AI concepts and tools.Technology & Delivery Experience Education: Bachelor's or Master's degree in Computer Science, Information Technology or a related field. Industry Expertise: 5+ years' experience designing and managing cloud architectures (AWS, GCP and/or Azure), including hybrid and multi-cloud solutions. Cloud Experience: Strong expertise in cloud-native services (containers, Kubernetes, serverless, microservices) combined with deep knowledge of networking, security, identity management, and compliance best practices. Infrastructure & Automation: Hands-on experience with Infrastructure-as-Code (Terraform, ARM Templates) and CI/CD automation (e.g. Google Cloud Deployment Manager, Azure CICD). Consulting background with proven stakeholder management, project scoping and budgeting experienceDesirable Experience Domain Experience: Primarily UK Public Sector, but also Banking, Financial Services and Insurance (BFSI), Consumer Products, Retail and Distribution (CPRD), Telecoms and Transport. Cloud Certifications: in GCP (e.g., Google Professional Cloud Architect) and Azure (e.g., Microsoft Certified: Azure Solutions Architect Expert). Familiarity with cloud cost management tools and best practices to optimise spend and maximise value Experience supporting and participating in the commercial cycle, including defining project scope and agreeing on budgets. Experience with Agile methodologies and cross-functional team collaboration. SC Cleared / EligibleWe're committed to using technology as a force for good. That means reducing our own carbon footprint and expanding access to the digital world for everyone. This isn't just a statement; it's a core part of who we are. In fact, Capgemini has been recognised by the Ethisphere Institute as one of the World's Most Ethical Companies for 10 consecutive years. When you join us, you become part of a team that does the right thing.Your base location will be London,
Principal Software Engineer - TransfersApplylocations: Home Basedtime type: Full timeposted on: Posted Todaytime left to apply: End Date: June 28, 2026 (22 days left to apply)job requisition id: R9029# Excited to grow your career? Our purpose is to make it easy for people to save and invest for a better future. We are looking for great people to join us, so please come and invest in YOUR future at Hargreaves Lansdown. We know that sometimes people can be put off applying for a job if they don't tick every box. If you're excited about working for us and have most of the skills or experience we're looking for, please go ahead and apply. We'd love to hear from you!About the role# About HL And The Opportunity We're building the next generation platform for one of the UK's largest financial services companies, trusted by over 2 million clients and managing c.£150 billion in assets. You will contribute in expanding our new capabilities that will enable our clients to seamlessly transfer in (and out) financial products like SIPPs and ISAs. Be part of HL's future. Be part of the future of investing. Shape it with us. About the Role As the Principal Engineer in our Transfers Tribe, you will be the technical authority across the Transfers domain, shaping the architecture, technical direction, and long-term health of systems. You will focus on solving the hardest technical and architectural problems at scale, reducing systemic risk, and enabling teams to deliver faster without compromising stability, security, or regulatory compliance. You will work closely with Engineering Managers, Product Managers, Architecture, and Platform teams within an end-to-end, product-led delivery model. Key Responsibilities Collaboration & Influence Lead through influence: Align stakeholders, run design reviews, drive decisions, own technical governance and unblock delivery teams. Work closely with Product, Operations, Architecture, and Platform teams to ensure solutions are fit for live service. Support regulatory, audit, and operational discussions by clearly articulating technical design choices and risks. Technical Strategy & Architecture Set and evolve the technical direction for the Transfers domain, ensuring architectural integrity, scalability, and resilience. Own and maintain architectural principles, guardrails, and standards, balancing short-term delivery with long-term sustainability. Lead early technical discovery for initiatives, shaping solution options, trade-offs, and technical risk assessments. Identify and proactively reduce system-level and cross-team technical risks, including performance, operability, and data integrity. Engineering & Problem Solving Solve complex technical problems across event-driven flows, integrations, orchestration, and data consistency. Drive improvements in testability, observability, deployment safety, and recovery across Transfers systems. Technical Leadership & Enablement Act as a technical mentor and coach to senior engineers, raising the technical bar across tribes Partner with Engineering Managers to enable sustainable, predictable delivery. Provide clear technical direction through shared patterns, guidance, and architectural decisions. Skills & Experience Essential At least 2+ years in a Principal Engineering or Solution Architect role or similar Proven ability to set technical direction across multiple teams without line management responsibility. Strong Java software engineering background with the ability to engage on architecture decisions. We use Java 21 and Spring Boot paired with RDBMS and NoSQL databases Experience with AWS and event-driven architectures. Experience delivering product-led, agile software. Strong stakeholder management across Product, Operations, and Engineering. Excellent communication skills, able to explain complex technical concepts to non-technical stakeholders. Desirable Experience in financial services Experience improving operational resilience and throughput via system redesign and automation. Experience with agent-first organisations What Success Looks Like Transfers systems are simpler, more resilient, and easier to change, with fewer incidents and faster recovery. Technical risks are surfaced and addressed early, enabling predictable delivery. Clear architectural direction reduces rework, inconsistency, and regret spend. Interview Process3 Stage Interview Stage 1 - Discussion with our Hiring Manager (45mins):A chance to talk with our Hiring Manager in more detail about the role, our tech stack and some of the problems we solve every day. Here, we'll dig a bit more into some of your experiences, understand the processes you're familiar with and the technologies you've used to deliver end user value as well as your approach to influencing without line management. Stage 2 - Technical (90mins):For the technical part, we'd like you to sit down with some of your potential peers to work through a technical solution. We'll be looking together at system design, deep-dive into areas like event-driven systems or migration paths for live systems, and how to influence your peers. Stage 3 - Culture Fit (30mins):In our Cultural Fit interview, we'll be looking to learn more about your past experiences, what keeps you motivated, where we may be able to help you improve further, key decisions you've helped to make and issues you've resolved. Why us? Here at HL, we're the UK's number 1 investment platform for private investors, based in Bristol. For more than 40 years we've helped investors save time, tax and money on their investments.To achieve our mission, we believe we have a workplace like no other, with constant learning, dynamic teams, and a great ethos. We're steered by core values that promote service, quality, innovation, and opportunity in everything we do. What's on offer? Discretionary annual bonus and annual pay review 25 days holiday plus bank holidays and 1-day additional Christmas closure Option to purchase an additional 5 days holiday Flexible working options available, including hybrid working Enhanced parental leave Pension scheme up to 11% employer contribution Income Protection and Life insurance (4 x salary core level of cover) Private medical insurance Health care cash plans - including optical, dental, and outpatient care Health screening programme - confidential support including mental health counselling and remote GP Wellhub - unlimited access to fitness providers and wellness coach sessions Variety of travel to work schemes with bike storage and shower facilities Inhouse barista and deli serving subsidised coffee and sandwiches Two paid volunteering days per year dependant on role level only available to select during our annual benefits window, in November each year Hargreaves Lansdown is an inclusive employer that values diversity in its workforce. We encourage applications from all individuals without regard to race, religion, gender, sexual orientation, national origin, disability or age. This role may also be available on a flexible working or part time basis - please ask the Recruitment & Onboarding team for more information. Please note, we are unable to provide employment sponsorship to candidates.
26/07/2026
Full time
Principal Software Engineer - TransfersApplylocations: Home Basedtime type: Full timeposted on: Posted Todaytime left to apply: End Date: June 28, 2026 (22 days left to apply)job requisition id: R9029# Excited to grow your career? Our purpose is to make it easy for people to save and invest for a better future. We are looking for great people to join us, so please come and invest in YOUR future at Hargreaves Lansdown. We know that sometimes people can be put off applying for a job if they don't tick every box. If you're excited about working for us and have most of the skills or experience we're looking for, please go ahead and apply. We'd love to hear from you!About the role# About HL And The Opportunity We're building the next generation platform for one of the UK's largest financial services companies, trusted by over 2 million clients and managing c.£150 billion in assets. You will contribute in expanding our new capabilities that will enable our clients to seamlessly transfer in (and out) financial products like SIPPs and ISAs. Be part of HL's future. Be part of the future of investing. Shape it with us. About the Role As the Principal Engineer in our Transfers Tribe, you will be the technical authority across the Transfers domain, shaping the architecture, technical direction, and long-term health of systems. You will focus on solving the hardest technical and architectural problems at scale, reducing systemic risk, and enabling teams to deliver faster without compromising stability, security, or regulatory compliance. You will work closely with Engineering Managers, Product Managers, Architecture, and Platform teams within an end-to-end, product-led delivery model. Key Responsibilities Collaboration & Influence Lead through influence: Align stakeholders, run design reviews, drive decisions, own technical governance and unblock delivery teams. Work closely with Product, Operations, Architecture, and Platform teams to ensure solutions are fit for live service. Support regulatory, audit, and operational discussions by clearly articulating technical design choices and risks. Technical Strategy & Architecture Set and evolve the technical direction for the Transfers domain, ensuring architectural integrity, scalability, and resilience. Own and maintain architectural principles, guardrails, and standards, balancing short-term delivery with long-term sustainability. Lead early technical discovery for initiatives, shaping solution options, trade-offs, and technical risk assessments. Identify and proactively reduce system-level and cross-team technical risks, including performance, operability, and data integrity. Engineering & Problem Solving Solve complex technical problems across event-driven flows, integrations, orchestration, and data consistency. Drive improvements in testability, observability, deployment safety, and recovery across Transfers systems. Technical Leadership & Enablement Act as a technical mentor and coach to senior engineers, raising the technical bar across tribes Partner with Engineering Managers to enable sustainable, predictable delivery. Provide clear technical direction through shared patterns, guidance, and architectural decisions. Skills & Experience Essential At least 2+ years in a Principal Engineering or Solution Architect role or similar Proven ability to set technical direction across multiple teams without line management responsibility. Strong Java software engineering background with the ability to engage on architecture decisions. We use Java 21 and Spring Boot paired with RDBMS and NoSQL databases Experience with AWS and event-driven architectures. Experience delivering product-led, agile software. Strong stakeholder management across Product, Operations, and Engineering. Excellent communication skills, able to explain complex technical concepts to non-technical stakeholders. Desirable Experience in financial services Experience improving operational resilience and throughput via system redesign and automation. Experience with agent-first organisations What Success Looks Like Transfers systems are simpler, more resilient, and easier to change, with fewer incidents and faster recovery. Technical risks are surfaced and addressed early, enabling predictable delivery. Clear architectural direction reduces rework, inconsistency, and regret spend. Interview Process3 Stage Interview Stage 1 - Discussion with our Hiring Manager (45mins):A chance to talk with our Hiring Manager in more detail about the role, our tech stack and some of the problems we solve every day. Here, we'll dig a bit more into some of your experiences, understand the processes you're familiar with and the technologies you've used to deliver end user value as well as your approach to influencing without line management. Stage 2 - Technical (90mins):For the technical part, we'd like you to sit down with some of your potential peers to work through a technical solution. We'll be looking together at system design, deep-dive into areas like event-driven systems or migration paths for live systems, and how to influence your peers. Stage 3 - Culture Fit (30mins):In our Cultural Fit interview, we'll be looking to learn more about your past experiences, what keeps you motivated, where we may be able to help you improve further, key decisions you've helped to make and issues you've resolved. Why us? Here at HL, we're the UK's number 1 investment platform for private investors, based in Bristol. For more than 40 years we've helped investors save time, tax and money on their investments.To achieve our mission, we believe we have a workplace like no other, with constant learning, dynamic teams, and a great ethos. We're steered by core values that promote service, quality, innovation, and opportunity in everything we do. What's on offer? Discretionary annual bonus and annual pay review 25 days holiday plus bank holidays and 1-day additional Christmas closure Option to purchase an additional 5 days holiday Flexible working options available, including hybrid working Enhanced parental leave Pension scheme up to 11% employer contribution Income Protection and Life insurance (4 x salary core level of cover) Private medical insurance Health care cash plans - including optical, dental, and outpatient care Health screening programme - confidential support including mental health counselling and remote GP Wellhub - unlimited access to fitness providers and wellness coach sessions Variety of travel to work schemes with bike storage and shower facilities Inhouse barista and deli serving subsidised coffee and sandwiches Two paid volunteering days per year dependant on role level only available to select during our annual benefits window, in November each year Hargreaves Lansdown is an inclusive employer that values diversity in its workforce. We encourage applications from all individuals without regard to race, religion, gender, sexual orientation, national origin, disability or age. This role may also be available on a flexible working or part time basis - please ask the Recruitment & Onboarding team for more information. Please note, we are unable to provide employment sponsorship to candidates.
