Location(s): Manchester, Cheltenham or Samlesbury Salary: £50,354 to £60,036, including a concessionary payment of £2,758. The final amount depends on your skills and experience. You ll also receive a one-off recruitment bonus of £3,500, split into two payments: £1,750 on arrival and £1,750 after successfully completing probation. In the future, there may be an opportunity to qualify for a higher skill level. Following a successful skills assessment, this could increase your salary by up to £9,766. Flexible Working: We recognise the importance of a healthy work-life balance and offer full-time, part-time, and compressed hours. While hybrid working may be more limited due to the nature of the work, some home working may be available depending on business needs. Find out more about flexible working on our website . GCHQ is an intelligence, cyber and security agency with a mission to keep the UK safe. We use cutting-edge technology, ingenuity, and partnerships to identify, analyse and disrupt threats. Working with our intelligence partners MI5 and MI6, we protect the UK from terrorism, cyber-attacks, and espionage. At GCHQ, you ll do varied and fascinating work in a supportive and inclusive environment that puts the emphasis on teamwork. As a Senior Software Engineer, you ll bring your experience of modern software frameworks and team leadership to our passionate tech community. You ll help design new and existing systems, establish best working practices, and deliver high-quality solutions to mission-critical problems. With your expertise, you ll operate at a deep technical level, leveraging your familiarity with languages and frameworks such as Golang, Java, JavaScript, .NET, Node, Python, Rust, and cloud platforms (AWS, Azure, and GCP). You might be mentoring a team or leading as a technical expert. You ll be keen to develop not just your own skills, but those of others. Whether you re bringing new approaches, sharing innovative ways of working, or identifying new priorities, you ll set the standard. You ll engage with technical and non-technical customers and have a positive influence on the wider engineering community. With our encouragement to spend up to 30% of your time on development, innovation, and experimentation, you ll have the freedom to explore new possibilities for yourself and for GCHQ. You don t need to be a Software Engineer to apply; you might be working in Cloud Engineering and Security, UX, Site Reliability Engineering, Front-End Design, Agile, Solution Architecture, Data Engineering, or Machine Learning Operations. You ll also have experience leading Agile project teams and evaluating customer business requirements. Upon joining, you ll have access to a wide range of learning resources from online courses conferences and opportunities to pursue formal qualifications (funded by us). We ll provide all the support you need for a rewarding career, whether that s through tailored training or flexible working options. In this role, we offer full-time, part-time, and compressed hours, meaning you can enjoy a great work-life balance without compromising on what matters to you. At GCHQ, diversity and inclusion are critical to our mission. To protect the UK, we need a truly diverse workforce that reflects the society we serve. This includes diversity in every sense of the word: those with different backgrounds, ages, ethnicities, gender identities, sexual orientations, ways of thinking, and those with disabilities or neurodivergent conditions. We therefore welcome and encourage applications from everyone, including those from groups that are under-represented in our workforce, such as women, those from an ethnic minority background, people with disabilities, and those from low socio-economic backgrounds. Find out more about our culture, working environment, and diversity on our website. To find out more and apply, please visit our website. To be eligible to apply, you must be a British Citizen. If you hold dual nationality, of which one component is British, you will nonetheless be considered. Candidates must normally have been resident in the UK for seven out of the last ten years. This is particularly important if you were born outside the UK. We welcome applications from candidates of all ages, and there is no upper age limit. You can apply at 17, if successful, you will not be offered a start date prior to your 18th birthday. Full eligibility details can be found on our website.
19/05/2026
Full time
Location(s): Manchester, Cheltenham or Samlesbury Salary: £50,354 to £60,036, including a concessionary payment of £2,758. The final amount depends on your skills and experience. You ll also receive a one-off recruitment bonus of £3,500, split into two payments: £1,750 on arrival and £1,750 after successfully completing probation. In the future, there may be an opportunity to qualify for a higher skill level. Following a successful skills assessment, this could increase your salary by up to £9,766. Flexible Working: We recognise the importance of a healthy work-life balance and offer full-time, part-time, and compressed hours. While hybrid working may be more limited due to the nature of the work, some home working may be available depending on business needs. Find out more about flexible working on our website . GCHQ is an intelligence, cyber and security agency with a mission to keep the UK safe. We use cutting-edge technology, ingenuity, and partnerships to identify, analyse and disrupt threats. Working with our intelligence partners MI5 and MI6, we protect the UK from terrorism, cyber-attacks, and espionage. At GCHQ, you ll do varied and fascinating work in a supportive and inclusive environment that puts the emphasis on teamwork. As a Senior Software Engineer, you ll bring your experience of modern software frameworks and team leadership to our passionate tech community. You ll help design new and existing systems, establish best working practices, and deliver high-quality solutions to mission-critical problems. With your expertise, you ll operate at a deep technical level, leveraging your familiarity with languages and frameworks such as Golang, Java, JavaScript, .NET, Node, Python, Rust, and cloud platforms (AWS, Azure, and GCP). You might be mentoring a team or leading as a technical expert. You ll be keen to develop not just your own skills, but those of others. Whether you re bringing new approaches, sharing innovative ways of working, or identifying new priorities, you ll set the standard. You ll engage with technical and non-technical customers and have a positive influence on the wider engineering community. With our encouragement to spend up to 30% of your time on development, innovation, and experimentation, you ll have the freedom to explore new possibilities for yourself and for GCHQ. You don t need to be a Software Engineer to apply; you might be working in Cloud Engineering and Security, UX, Site Reliability Engineering, Front-End Design, Agile, Solution Architecture, Data Engineering, or Machine Learning Operations. You ll also have experience leading Agile project teams and evaluating customer business requirements. Upon joining, you ll have access to a wide range of learning resources from online courses conferences and opportunities to pursue formal qualifications (funded by us). We ll provide all the support you need for a rewarding career, whether that s through tailored training or flexible working options. In this role, we offer full-time, part-time, and compressed hours, meaning you can enjoy a great work-life balance without compromising on what matters to you. At GCHQ, diversity and inclusion are critical to our mission. To protect the UK, we need a truly diverse workforce that reflects the society we serve. This includes diversity in every sense of the word: those with different backgrounds, ages, ethnicities, gender identities, sexual orientations, ways of thinking, and those with disabilities or neurodivergent conditions. We therefore welcome and encourage applications from everyone, including those from groups that are under-represented in our workforce, such as women, those from an ethnic minority background, people with disabilities, and those from low socio-economic backgrounds. Find out more about our culture, working environment, and diversity on our website. To find out more and apply, please visit our website. To be eligible to apply, you must be a British Citizen. If you hold dual nationality, of which one component is British, you will nonetheless be considered. Candidates must normally have been resident in the UK for seven out of the last ten years. This is particularly important if you were born outside the UK. We welcome applications from candidates of all ages, and there is no upper age limit. You can apply at 17, if successful, you will not be offered a start date prior to your 18th birthday. Full eligibility details can be found on our website.
Research Software Engineer & Senior Research Software Engineer £45,031 - £52,514 including London Weighting Allowance (Grade 6) £53,947 - £63,350 including London Weighting Allowance (Grade 7) About us King s Digital Lab is a Research Software Engineering (RSE) team embedded within the Faculty of Arts and Humanities at King s College London. We design and implement systems, infrastructure, tools, and processes needed to produce a heterogeneous range of high quality digital scholarly outputs. As an RSE laboratory, KDL is deeply committed to co-research and is constantly evolving as new tools and methods appear. We have an open, collaborative culture, both within the Lab and with our research partners. We are a small team that emphasises inclusivity and trust in our staff. We embrace flexible working, including flexible hours and extensive hybrid working 80% remote and 20% on campus is typical. In person work is based in a small open plan office on King s busy Strand campus, operating on a hot desking basis in line with our hybrid approach. Whether remote or in-person, we support our staff to ensure they have the right equipment to work safely and effectively. This flexibility requires mutual trust. Our team members do much of their work independently and we rely on each other to work collaboratively at a distance, checking in and coordinating according to project and team needs. We encourage applicants to read our blogs to understand more about the culture and working environment. About the role: Your main responsibility is to develop high-quality code to support product specifications and requirements in collaboration with research leads and the RSE team. You will have expertise in at least one programming language and proficiency in others, along with a keen interest in software development. Your role involves producing research solutions, from algorithms to web applications; you may have specialised skills in areas such as immersive/XR, machine learning, devops, or web development. You'll have the ability to work independently or as part of large research projects or software engineering teams. A crucial aspect of the role is contributing to e-Research capability within your department, research group, or lab, as well as across the university. Awareness of best practices in software development, digital research methods, and data management is essential. If you are appointed as a Senior Research Software Engineer, you will have advanced expertise and take a leading role in planning and decision-making related to the research solutions KDL produces. Within this role, you will have opportunities to expand your skills working with new and emerging technologies across multiple disciplines and sectors. In addition to your core design and development responsibilities, you will be encouraged to develop a personal research agenda and explore opportunities for external funding and collaboration with academic colleagues. Our projects typically span several years, with periods of high and low activity. This means you will be engaged with multiple projects at any given time, across a range of disciplines, supporting academic partners to explore their research questions. Combined with an Agile approach to project management, this offers variety both in the projects themselves and in the approaches and tools you use. Success metrics are related to the research question the project is seeking to answer. Most of our work is funded by public research councils; while this means complying with regulatory reporting requirements (e.g. tracking time for charging purposes), it also means you will have opportunities for significant intellectual engagement. You will work with partners to determine the best approaches to meet their requirements, adapting as the project develops. Interest in and/or skills related to one or more of KDL s priority Research Themes, particularly in the area of Digital Creativity, would be desirable. Collaborative engagement is central to our work, and we believe that diversity strengthens our team and the research we support. We welcome applications from people of all backgrounds and career paths, and encourage candidates to think broadly about their transferable skills, including those gained outside traditional academic or technical routes. We particularly welcome applications from women and gender minoritised candidates, candidates from minoritised ethnic backgrounds, and disabled candidates, as they are underrepresented within King s in this type of role. We are happy to discuss reasonable adjustments at any stage of the process. Alongside our established hybrid working and flexible hours, we are open to conversations, within the scope of the role, about less traditional working arrangements to support individual needs. Additional references: This is a full time post (35 hours per week), and you will be offered an indefinite contract About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Expertise with modern web development stacks (Python/Django, JavaScript/TypeScript/Node.js, containerisation, CI/CD pipelines, cloud platforms) and ability to write performant, maintainable, well-tested code following best practices. Experience of making well reasoned technical decisions in design, architecture, and development, using appropriate technologies and methodologies. Senior RSE: Advanced skills enabling responsibility for complex technical decisions and technical direction within a project or service. Strong analytical and problem-solving skills to handle complex, novel research challenges, with flexibility to thrive in a fast-paced research environment with changing requirements. Excellent collaboration and communication skills, including an inclusive approach, supporting a positive and open team culture and enabling effective collaboration with researchers and team members; Senior RSE: including ability to guide/mentor others. Skills in data modelling for database design for research applications, ensuring flexible, extensible data schemas. Motivation for learning and adopting new technologies when appropriate. Understanding of accessibility, security, privacy, and other critical concerns for research apps. Senior RSE: Advanced proficiency, alongside the ability to provide effective and inclusive leadership, strategic perspective and to advocate for quality in architecture/code. Desirable criteria Understanding of agile software methodologies and experience leading or participating in sprints/timeboxes. Experience contributing to training, workshops, or knowledge-sharing activities related to software engineering practices, advanced research methods, technical tools, design approaches or accessibility. Knowledge of or experience working in digital humanities, social sciences, or research development within higher education or cultural heritage contexts. Experience with composable architectures (e.g. Jamstack), static web development, progressive enhancement and/or minimal computing. Knowledge of/experience with tools and practices related to one or more KDL s priority Research Themes, such as: Machine learning: methods and how to responsibly apply in applications. Data visualisation: methods and techniques to enhance access to complex datasets. Digital Creativity: immersive/XR tools such as real time engines (e.g. Godot/Unity/Unreal), WebXR libraries (e.g. three.js,) and 3D modelling tools (e.g. Blender, Maya.) Indigenous Digital Humanities: approaches and considerations appropriate for working in a range of cultural contexts and/or with culturally sensitive data. Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Further Information At King s, we believe that the diversity of our community and a culture that is welcoming, open, inclusive and collaborative, are great strengths of the university. The Equality Act of 2010 protects the rights of our students and staff and provides a framework to fulfil our duties to eliminate unlawful discrimination, harassment and victimisation and in addition, to advance equality of opportunity and foster good relations between those who share a protected characteristic and those who do not. At times, this will include balancing rights and beliefs that can feel in tension. We are committed to free speech and to academic freedom, believing that our foundational purpose as a university, is to create spaces where a wide range of ideas, including ideas that are controversial, can be discussed and debated, and where members of our community can express lawful views without fear of intimidation, harassment or discrimination. When engaging in the robust exchange of ideas, we ask that our community is mindful of our Dignity at King s guidance. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. We reserve the right to close adverts early due to the volume of applications we receive. While the closing date may change . click apply for full job details
19/05/2026
Full time
Research Software Engineer & Senior Research Software Engineer £45,031 - £52,514 including London Weighting Allowance (Grade 6) £53,947 - £63,350 including London Weighting Allowance (Grade 7) About us King s Digital Lab is a Research Software Engineering (RSE) team embedded within the Faculty of Arts and Humanities at King s College London. We design and implement systems, infrastructure, tools, and processes needed to produce a heterogeneous range of high quality digital scholarly outputs. As an RSE laboratory, KDL is deeply committed to co-research and is constantly evolving as new tools and methods appear. We have an open, collaborative culture, both within the Lab and with our research partners. We are a small team that emphasises inclusivity and trust in our staff. We embrace flexible working, including flexible hours and extensive hybrid working 80% remote and 20% on campus is typical. In person work is based in a small open plan office on King s busy Strand campus, operating on a hot desking basis in line with our hybrid approach. Whether remote or in-person, we support our staff to ensure they have the right equipment to work safely and effectively. This flexibility requires mutual trust. Our team members do much of their work independently and we rely on each other to work collaboratively at a distance, checking in and coordinating according to project and team needs. We encourage applicants to read our blogs to understand more about the culture and working environment. About the role: Your main responsibility is to develop high-quality code to support product specifications and requirements in collaboration with research leads and the RSE team. You will have expertise in at least one programming language and proficiency in others, along with a keen interest in software development. Your role involves producing research solutions, from algorithms to web applications; you may have specialised skills in areas such as immersive/XR, machine learning, devops, or web development. You'll have the ability to work independently or as part of large research projects or software engineering teams. A crucial aspect of the role is contributing to e-Research capability within your department, research group, or lab, as well as across the university. Awareness of best practices in software development, digital research methods, and data management is essential. If you are appointed as a Senior Research Software Engineer, you will have advanced expertise and take a leading role in planning and decision-making related to the research solutions KDL produces. Within this role, you will have opportunities to expand your skills working with new and emerging technologies across multiple disciplines and sectors. In addition to your core design and development responsibilities, you will be encouraged to develop a personal research agenda and explore opportunities for external funding and collaboration with academic colleagues. Our projects typically span several years, with periods of high and low activity. This means you will be engaged with multiple projects at any given time, across a range of disciplines, supporting academic partners to explore their research questions. Combined with an Agile approach to project management, this offers variety both in the projects themselves and in the approaches and tools you use. Success metrics are related to the research question the project is seeking to answer. Most of our work is funded by public research councils; while this means complying with regulatory reporting requirements (e.g. tracking time for charging purposes), it also means you will have opportunities for significant intellectual engagement. You will work with partners to determine the best approaches to meet their requirements, adapting as the project develops. Interest in and/or skills related to one or more of KDL s priority Research Themes, particularly in the area of Digital Creativity, would be desirable. Collaborative engagement is central to our work, and we believe that diversity strengthens our team and the research we support. We welcome applications from people of all backgrounds and career paths, and encourage candidates to think broadly about their transferable skills, including those gained outside traditional academic or technical routes. We particularly welcome applications from women and gender minoritised candidates, candidates from minoritised ethnic backgrounds, and disabled candidates, as they are underrepresented within King s in this type of role. We are happy to discuss reasonable adjustments at any stage of the process. Alongside our established hybrid working and flexible hours, we are open to conversations, within the scope of the role, about less traditional working arrangements to support individual needs. Additional references: This is a full time post (35 hours per week), and you will be offered an indefinite contract About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Expertise with modern web development stacks (Python/Django, JavaScript/TypeScript/Node.js, containerisation, CI/CD pipelines, cloud platforms) and ability to write performant, maintainable, well-tested code following best practices. Experience of making well reasoned technical decisions in design, architecture, and development, using appropriate technologies and methodologies. Senior RSE: Advanced skills enabling responsibility for complex technical decisions and technical direction within a project or service. Strong analytical and problem-solving skills to handle complex, novel research challenges, with flexibility to thrive in a fast-paced research environment with changing requirements. Excellent collaboration and communication skills, including an inclusive approach, supporting a positive and open team culture and enabling effective collaboration with researchers and team members; Senior RSE: including ability to guide/mentor others. Skills in data modelling for database design for research applications, ensuring flexible, extensible data schemas. Motivation for learning and adopting new technologies when appropriate. Understanding of accessibility, security, privacy, and other critical concerns for research apps. Senior RSE: Advanced proficiency, alongside the ability to provide effective and inclusive leadership, strategic perspective and to advocate for quality in architecture/code. Desirable criteria Understanding of agile software methodologies and experience leading or participating in sprints/timeboxes. Experience contributing to training, workshops, or knowledge-sharing activities related to software engineering practices, advanced research methods, technical tools, design approaches or accessibility. Knowledge of or experience working in digital humanities, social sciences, or research development within higher education or cultural heritage contexts. Experience with composable architectures (e.g. Jamstack), static web development, progressive enhancement and/or minimal computing. Knowledge of/experience with tools and practices related to one or more KDL s priority Research Themes, such as: Machine learning: methods and how to responsibly apply in applications. Data visualisation: methods and techniques to enhance access to complex datasets. Digital Creativity: immersive/XR tools such as real time engines (e.g. Godot/Unity/Unreal), WebXR libraries (e.g. three.js,) and 3D modelling tools (e.g. Blender, Maya.) Indigenous Digital Humanities: approaches and considerations appropriate for working in a range of cultural contexts and/or with culturally sensitive data. Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Further Information At King s, we believe that the diversity of our community and a culture that is welcoming, open, inclusive and collaborative, are great strengths of the university. The Equality Act of 2010 protects the rights of our students and staff and provides a framework to fulfil our duties to eliminate unlawful discrimination, harassment and victimisation and in addition, to advance equality of opportunity and foster good relations between those who share a protected characteristic and those who do not. At times, this will include balancing rights and beliefs that can feel in tension. We are committed to free speech and to academic freedom, believing that our foundational purpose as a university, is to create spaces where a wide range of ideas, including ideas that are controversial, can be discussed and debated, and where members of our community can express lawful views without fear of intimidation, harassment or discrimination. When engaging in the robust exchange of ideas, we ask that our community is mindful of our Dignity at King s guidance. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. We reserve the right to close adverts early due to the volume of applications we receive. While the closing date may change . click apply for full job details
DevSecOps Consultant Sheffield (3 days per week onsite) Inside IR35 We're partnering with a leading financial services client to appoint a DevSecOps Consultant to drive secure engineering practices across large-scale, cloud-based platforms. This role is ideal for someone who has come from a hands-on DevSecOps Engineering background and has since transitioned into architecture/design and advisory, while still retaining strong technical depth. Key Responsibilities: Define and implement secure architecture patterns across engineering platforms (CI/CD, build systems, runtime environments) Conduct security assessments, threat modelling, and gap analysis across platforms and pipelines Develop and embed DevSecOps best practices, including secure pipeline design and automated controls Establish and enforce security baselines using policy-as-code Build and deliver security roadmaps, prioritising risk and regulatory requirements Partner with engineering and platform teams to remediate vulnerabilities and improve security posture Act as a trusted advisor to senior stakeholders, translating technical risks into business impact Key Requirements: Proven background in hands-on DevSecOps Engineering, now operating in a design/architecture-focused role Strong experience across both AWS and GCP (essential) Deep understanding of CI/CD pipelines, build tools, artifact repositories, and developer platforms Expertise in secure software delivery, vulnerability management, and platform security Experience with threat modelling, security frameworks, and maturity assessments Strong knowledge of application security, network security, and cloud security principles Excellent stakeholder management and communication skills Desirable: Experience in financial services or regulated environments Knowledge of Kubernetes and container security Familiarity with supply chain security, SBOM, and secure development practices Relevant certifications (eg CISSP, CISM, CCSP) This is a key role focused on shaping and embedding secure-by-design engineering practices across a complex, enterprise environment, with strong influence across both technology and security functions. More details available on successful application.
19/05/2026
Contractor
DevSecOps Consultant Sheffield (3 days per week onsite) Inside IR35 We're partnering with a leading financial services client to appoint a DevSecOps Consultant to drive secure engineering practices across large-scale, cloud-based platforms. This role is ideal for someone who has come from a hands-on DevSecOps Engineering background and has since transitioned into architecture/design and advisory, while still retaining strong technical depth. Key Responsibilities: Define and implement secure architecture patterns across engineering platforms (CI/CD, build systems, runtime environments) Conduct security assessments, threat modelling, and gap analysis across platforms and pipelines Develop and embed DevSecOps best practices, including secure pipeline design and automated controls Establish and enforce security baselines using policy-as-code Build and deliver security roadmaps, prioritising risk and regulatory requirements Partner with engineering and platform teams to remediate vulnerabilities and improve security posture Act as a trusted advisor to senior stakeholders, translating technical risks into business impact Key Requirements: Proven background in hands-on DevSecOps Engineering, now operating in a design/architecture-focused role Strong experience across both AWS and GCP (essential) Deep understanding of CI/CD pipelines, build tools, artifact repositories, and developer platforms Expertise in secure software delivery, vulnerability management, and platform security Experience with threat modelling, security frameworks, and maturity assessments Strong knowledge of application security, network security, and cloud security principles Excellent stakeholder management and communication skills Desirable: Experience in financial services or regulated environments Knowledge of Kubernetes and container security Familiarity with supply chain security, SBOM, and secure development practices Relevant certifications (eg CISSP, CISM, CCSP) This is a key role focused on shaping and embedding secure-by-design engineering practices across a complex, enterprise environment, with strong influence across both technology and security functions. More details available on successful application.
Role: Data Solutions Architect (SC Cleared) Contract: 3-6 months initial Day rate: £500pd-£550pd (Inside IR35) Location: London (Hybrid working) We are working with a large-scale consultancy who require a Data Solutions Architect to work on an Azure Data project. The role will require someone who is SC Cleared and will be hybrid working, based in London. Responsibilities: Design secure, scalable data solutions across application, data, integration, infrastructure and security domains. Architect cloud data platforms and analytics stacks (e.g. Azure Databricks, Microsoft Fabric) including distributed processing (Spark). Translate functional and non-functional requirements (security, performance, availability, resilience) into resilient target architectures. Define current-state, target-state and transition architectures, including phased roadmaps and dependency-aware migration plans. Apply platform engineering practices (IaC, CI/CD, DevOps) aligned to landing-zone/enterprise-scale guardrails (e.g. Azure CAF). Design modern enterprise integration patterns (APIs, event-driven and service-based approaches). Produce clear, auditable artefacts for governance and assurance (HLD/LLD, ADRs, options appraisals). Act as design authority lead design reviews/ARBs, communicate trade-offs, and support build-phase conformance. Support delivery reporting/RAID, knowledge transfer, capability uplift, and exit/transition planning with complete handover documentation. Essential requirements Active SC clearance and experience working in regulated environments. Strong solution architecture background across data, cloud, security and integration. Hands-on knowledge of Azure data services, Databricks/Fabric, and modern analytics patterns. Ability to create and defend architecture artefacts and influence senior technical stakeholders. Please note, to be successful for the role and due to time frames, you must hold active SC Clearance. If you are interested in the role provide an up to date CV for consideration and apply now!
19/05/2026
Contractor
Role: Data Solutions Architect (SC Cleared) Contract: 3-6 months initial Day rate: £500pd-£550pd (Inside IR35) Location: London (Hybrid working) We are working with a large-scale consultancy who require a Data Solutions Architect to work on an Azure Data project. The role will require someone who is SC Cleared and will be hybrid working, based in London. Responsibilities: Design secure, scalable data solutions across application, data, integration, infrastructure and security domains. Architect cloud data platforms and analytics stacks (e.g. Azure Databricks, Microsoft Fabric) including distributed processing (Spark). Translate functional and non-functional requirements (security, performance, availability, resilience) into resilient target architectures. Define current-state, target-state and transition architectures, including phased roadmaps and dependency-aware migration plans. Apply platform engineering practices (IaC, CI/CD, DevOps) aligned to landing-zone/enterprise-scale guardrails (e.g. Azure CAF). Design modern enterprise integration patterns (APIs, event-driven and service-based approaches). Produce clear, auditable artefacts for governance and assurance (HLD/LLD, ADRs, options appraisals). Act as design authority lead design reviews/ARBs, communicate trade-offs, and support build-phase conformance. Support delivery reporting/RAID, knowledge transfer, capability uplift, and exit/transition planning with complete handover documentation. Essential requirements Active SC clearance and experience working in regulated environments. Strong solution architecture background across data, cloud, security and integration. Hands-on knowledge of Azure data services, Databricks/Fabric, and modern analytics patterns. Ability to create and defend architecture artefacts and influence senior technical stakeholders. Please note, to be successful for the role and due to time frames, you must hold active SC Clearance. If you are interested in the role provide an up to date CV for consideration and apply now!
Requirements This isn't a graduate role, so to succeed you'll need real production experience. But you don't need to have done it all independently yet We're looking for someone with strong foundations who is ready to grow quickly with the right support around them Circa 5 years of experience in data engineering, analytics engineering, or a closely related role, with hands-on exposure to production environments Competency with SQL across multiple database platforms Python proficiency for data manipulation and pipeline work (Pandas, SQLAlchemy) Hands-on experience with cloud data warehouses (Snowflake, BigQuery, or Redshift) Familiarity with data modelling concepts and ELT/ETL design patterns Clear communicator: comfortable explaining technical concepts to non-technical stakeholders Collaborative and reliable in cross-functional teams Organised enough to manage multiple workstreams without things falling through the cracks Curious and keen to keep developing: data engineering is a fast-moving space What the job involves We're looking for s Senior Data Engineer who is passionate about turning complex data into actionable insights that drive remarkable results for our clients Technical Impact: Successfully contribute to data and analytics engineering projects, delivering robust data pipelines that drive measurable business outcomes for clients Quality Leadership: Utilise data quality frameworks and testing practices that become standard across our engineering teams Client Relationships: Interact with key technical stakeholders at major clients, becoming a trusted contributor to their data strategy outcomes Innovation Contribution: Research and evaluate new tools, practices, or methodologies that improve our team's efficiency and solution quality
19/05/2026
Full time
Requirements This isn't a graduate role, so to succeed you'll need real production experience. But you don't need to have done it all independently yet We're looking for someone with strong foundations who is ready to grow quickly with the right support around them Circa 5 years of experience in data engineering, analytics engineering, or a closely related role, with hands-on exposure to production environments Competency with SQL across multiple database platforms Python proficiency for data manipulation and pipeline work (Pandas, SQLAlchemy) Hands-on experience with cloud data warehouses (Snowflake, BigQuery, or Redshift) Familiarity with data modelling concepts and ELT/ETL design patterns Clear communicator: comfortable explaining technical concepts to non-technical stakeholders Collaborative and reliable in cross-functional teams Organised enough to manage multiple workstreams without things falling through the cracks Curious and keen to keep developing: data engineering is a fast-moving space What the job involves We're looking for s Senior Data Engineer who is passionate about turning complex data into actionable insights that drive remarkable results for our clients Technical Impact: Successfully contribute to data and analytics engineering projects, delivering robust data pipelines that drive measurable business outcomes for clients Quality Leadership: Utilise data quality frameworks and testing practices that become standard across our engineering teams Client Relationships: Interact with key technical stakeholders at major clients, becoming a trusted contributor to their data strategy outcomes Innovation Contribution: Research and evaluate new tools, practices, or methodologies that improve our team's efficiency and solution quality
Requirements People-First Leader: You are passionate about developing others and helping people become the best version of themselves, with a strong focus on Diversity, Equity, and Inclusion Experienced Manager: You are a dedicated leader who enables collective success and has experience leading data-oriented teams of engineers Technical Expert: You can draw on significant experience in data and analytics engineering to deliver high-quality, actionable data pipelines Architectural Mindset: You have experience designing and building data pipelines, strategic data architectural decisions, and high-quality "data mart" objects across functions like product, finance, or strategy Pipeline Specialist: You possess extensive experience in engineering robust ETL/ELT processes and data pipelines, with a focus on curating, transforming, and publishing data Data Governance Focused: You have solid experience in implementing data models, master data management, and data quality rules Strong Communicator: You have excellent presentation skills and can articulate results clearly to both technical and non-technical senior stakeholders Stack Proficient: You have experience working with a modern analytics stack, including SQL, GitHub, Python, BI tooling (e.g., Tableau), and native cloud services like AWS or GCP (Desirable) Orchestration Mastery: Deep experience with data orchestration tooling such as dbt or dataform (Desirable) Platform Specifics: Hands-on experience with Databricks (Desirable) Modeling Expertise: Practical knowledge of Kimball's dimensional modeling What the job involves You will be joining the Kaluza Data community. Data is the foundation of everything we do as an organisation, and to deliver our vision we need curious, tenacious people who can turn this data, and their knowledge, into insight, strategy and actions You'll be working on the Kaluza platform. This is a technology platform that aims to revolutionise the operating platforms for energy retailers globally This platform is being built with globalisation and regionalisation in mind and is the foundation for decarbonisation efforts by Kaluza's customers We are looking to transform to an international ready model to help the business take on new challenges and external customers More specifically, you will join our Data leadership team, working directly to Kaluza's Head of Data Science & Product, and will be the lead for the Data Platform team as part of this The Data Platform team lies at the epicentre of Kaluza's evolving data & architecture strategy - they build and own the infrastructure, tooling and governance for Kaluza's internal data pipeline, from data ingestion, data cataloguing to data storage and exposing data externally As an Engineering Manager, you will be responsible for managing engineers and product analysts who work in our Data Platform team, product or business functions within the wider organisation You will assist your team in the scoping, planning and delivery of data engineering and analytics engineering projects, assuming accountability for their execution, and flexing your time as you see necessary You will introduce thought-leadership on how to deliver excellent analytical and data engineering to the wider practice and contribute to cultivating a positive Kaluza community It's an exciting time currently at Kaluza to contribute to our future state architectural decisions with the opportunity to shape our data estate to represent the best analytical engineering practices Staff Management: Lead the Data Platform and Analytics Engineering teams Project Leadership: Scope and lead data engineering projects across the platform, providing technical support where needed Technical Excellence: Drive the design and building of new data models and production data pipelines Community & Collaboration: Align with data leads across the organisation to improve collaboration and ways of working Operational Health: Take ownership of security, risk, compliance, and incidents relating to the Data Platform Agile Delivery: Ensure teams continuously improve quality and velocity through Agile methodologies and recruitment Stakeholder Management: Collaborate with product management to prioritise work based on business impact and urgency Reporting to: Head of Data Science & Products
19/05/2026
Full time
Requirements People-First Leader: You are passionate about developing others and helping people become the best version of themselves, with a strong focus on Diversity, Equity, and Inclusion Experienced Manager: You are a dedicated leader who enables collective success and has experience leading data-oriented teams of engineers Technical Expert: You can draw on significant experience in data and analytics engineering to deliver high-quality, actionable data pipelines Architectural Mindset: You have experience designing and building data pipelines, strategic data architectural decisions, and high-quality "data mart" objects across functions like product, finance, or strategy Pipeline Specialist: You possess extensive experience in engineering robust ETL/ELT processes and data pipelines, with a focus on curating, transforming, and publishing data Data Governance Focused: You have solid experience in implementing data models, master data management, and data quality rules Strong Communicator: You have excellent presentation skills and can articulate results clearly to both technical and non-technical senior stakeholders Stack Proficient: You have experience working with a modern analytics stack, including SQL, GitHub, Python, BI tooling (e.g., Tableau), and native cloud services like AWS or GCP (Desirable) Orchestration Mastery: Deep experience with data orchestration tooling such as dbt or dataform (Desirable) Platform Specifics: Hands-on experience with Databricks (Desirable) Modeling Expertise: Practical knowledge of Kimball's dimensional modeling What the job involves You will be joining the Kaluza Data community. Data is the foundation of everything we do as an organisation, and to deliver our vision we need curious, tenacious people who can turn this data, and their knowledge, into insight, strategy and actions You'll be working on the Kaluza platform. This is a technology platform that aims to revolutionise the operating platforms for energy retailers globally This platform is being built with globalisation and regionalisation in mind and is the foundation for decarbonisation efforts by Kaluza's customers We are looking to transform to an international ready model to help the business take on new challenges and external customers More specifically, you will join our Data leadership team, working directly to Kaluza's Head of Data Science & Product, and will be the lead for the Data Platform team as part of this The Data Platform team lies at the epicentre of Kaluza's evolving data & architecture strategy - they build and own the infrastructure, tooling and governance for Kaluza's internal data pipeline, from data ingestion, data cataloguing to data storage and exposing data externally As an Engineering Manager, you will be responsible for managing engineers and product analysts who work in our Data Platform team, product or business functions within the wider organisation You will assist your team in the scoping, planning and delivery of data engineering and analytics engineering projects, assuming accountability for their execution, and flexing your time as you see necessary You will introduce thought-leadership on how to deliver excellent analytical and data engineering to the wider practice and contribute to cultivating a positive Kaluza community It's an exciting time currently at Kaluza to contribute to our future state architectural decisions with the opportunity to shape our data estate to represent the best analytical engineering practices Staff Management: Lead the Data Platform and Analytics Engineering teams Project Leadership: Scope and lead data engineering projects across the platform, providing technical support where needed Technical Excellence: Drive the design and building of new data models and production data pipelines Community & Collaboration: Align with data leads across the organisation to improve collaboration and ways of working Operational Health: Take ownership of security, risk, compliance, and incidents relating to the Data Platform Agile Delivery: Ensure teams continuously improve quality and velocity through Agile methodologies and recruitment Stakeholder Management: Collaborate with product management to prioritise work based on business impact and urgency Reporting to: Head of Data Science & Products
API Engineer Department: Development Employment Type: Full Time Location: Warwick Description Who are we? At Bright, we've engineered cutting edge software for accounting, payroll, tax, and practice management. We've assembled a team of top talent and stand ready to lead the industry with our superior software solutions and unparalleled customer support. We're brilliant people creating brilliant software! Join us in our mission to create brilliant software that empowers businesses to reach new heights. Our Products: Our award winning software helps small businesses and accountants across Ireland and the UK manage their payroll, accounts and HR practices. We take the headache out of business management and provide cost effective, real solutions to accountants and business owners. The Role: As an API Engineer at Bright, you'll be building API infrastructure that enables our product, third party integrations, our users and AI services to interact with our established product portfolio. When it comes to AI, we're not building chatbots. We're building systems that automate end to end accounting workflows from document processing through to statutory filing to make a real impact on tens of thousands of our customers. You'll design and implement the API infrastructure that enables our product, third party integrations, our users and AI services to interact with our established product portfolio. Working with autonomy and technical ownership, you'll architect scalable, secure APIs that handle sensitive payroll and accounting data while enabling rapid deployment of AI capabilities across our business. Key Responsibilities API Development & Integration Design and implement RESTful APIs that expose product capabilities to AI services and third party integrations Build production grade APIs using C# .NET, SQL, and Azure services Implement authentication and authorization using OAuth and modern security patterns Create well documented APIs using OpenAPI/Swagger standards Contribute to building and maintaining a developer portal for API consumers Quality & Operations Write clean, maintainable, well tested code with comprehensive documentation Implement logging, monitoring, and error handling for production APIs Optimize API performance and query efficiency Configure CI/CD pipelines for automated testing and deployment Ensure compliance with security requirements Participate in code reviews and contribute to team standards Collaboration & Growth Work with AI platform teams to understand requirements and consumption patterns Collaborate with product engineering teams to expose functionality through consistent APIs Learn from senior engineers and contribute to architectural discussions Support third party integrations and developer experience improvements Participate in incident response and troubleshooting Skills, Knowledge and Expertise Essential Skills and Experience Software engineering experience with focus on backend development and APIs Strong C# .NET skills for building APIs and services Solid SQL knowledge including database querying, basic optimization, and working with relational databases Experience building RESTful APIs for web or mobile applications Understanding of API design principles including REST conventions, HTTP methods, status codes, and error handling Familiarity with authentication using OAuth, JWT, or API keys Azure cloud exposure - you've worked with or deployed to Azure services Testing mindset - you write unit tests and understand integration testing Problem solving skills - you can debug issues and work through technical challenges Desirable Skills and Experience Experience building APIs for third party integrations or external partners Exposure to Supabase or similar backend as a service platforms Knowledge of API documentation tools like Swagger/OpenAPI Understanding of API gateways or Azure API Management Experience with event driven patterns or message queues Familiarity with DevOps practices and CI/CD pipelines Understanding of rate limiting and API security best practices Knowledge of how AI systems interact with APIs What Makes You a Great Fit Learning Mindset: You're excited to grow your API design and architecture skills. You're eager to learn from senior engineers and best practices. API Awareness: You understand that APIs are products with consumers. You think about usability, documentation, and developer experience. Attention to Detail: You care about consistency, documentation quality, and handling edge cases properly. Systems Thinking: You're developing an understanding of how distributed systems work and can reason through integration challenges. Pragmatic Approach: You balance learning with delivering value. You know when to ask for help and when to dive in. Collaboration: You work well with other engineers, product teams, and stakeholders. You communicate clearly about technical topics. Ownership: You take responsibility for your work and follow through on commitments. You care about the quality of what you build. Proactive Attitude: You see opportunities to improve and aren't deterred by challenges. You bring positive energy and a can do attitude. Quality Focused: You care about writing clean code, good tests, and building maintainable systems. Benefits Competitive salary Performance based bonus 25 days annual leave Health insurance Life insurance Company pension Company events Free food onsite On site parking Referral programme Employee Assistance Programme
19/05/2026
Full time
API Engineer Department: Development Employment Type: Full Time Location: Warwick Description Who are we? At Bright, we've engineered cutting edge software for accounting, payroll, tax, and practice management. We've assembled a team of top talent and stand ready to lead the industry with our superior software solutions and unparalleled customer support. We're brilliant people creating brilliant software! Join us in our mission to create brilliant software that empowers businesses to reach new heights. Our Products: Our award winning software helps small businesses and accountants across Ireland and the UK manage their payroll, accounts and HR practices. We take the headache out of business management and provide cost effective, real solutions to accountants and business owners. The Role: As an API Engineer at Bright, you'll be building API infrastructure that enables our product, third party integrations, our users and AI services to interact with our established product portfolio. When it comes to AI, we're not building chatbots. We're building systems that automate end to end accounting workflows from document processing through to statutory filing to make a real impact on tens of thousands of our customers. You'll design and implement the API infrastructure that enables our product, third party integrations, our users and AI services to interact with our established product portfolio. Working with autonomy and technical ownership, you'll architect scalable, secure APIs that handle sensitive payroll and accounting data while enabling rapid deployment of AI capabilities across our business. Key Responsibilities API Development & Integration Design and implement RESTful APIs that expose product capabilities to AI services and third party integrations Build production grade APIs using C# .NET, SQL, and Azure services Implement authentication and authorization using OAuth and modern security patterns Create well documented APIs using OpenAPI/Swagger standards Contribute to building and maintaining a developer portal for API consumers Quality & Operations Write clean, maintainable, well tested code with comprehensive documentation Implement logging, monitoring, and error handling for production APIs Optimize API performance and query efficiency Configure CI/CD pipelines for automated testing and deployment Ensure compliance with security requirements Participate in code reviews and contribute to team standards Collaboration & Growth Work with AI platform teams to understand requirements and consumption patterns Collaborate with product engineering teams to expose functionality through consistent APIs Learn from senior engineers and contribute to architectural discussions Support third party integrations and developer experience improvements Participate in incident response and troubleshooting Skills, Knowledge and Expertise Essential Skills and Experience Software engineering experience with focus on backend development and APIs Strong C# .NET skills for building APIs and services Solid SQL knowledge including database querying, basic optimization, and working with relational databases Experience building RESTful APIs for web or mobile applications Understanding of API design principles including REST conventions, HTTP methods, status codes, and error handling Familiarity with authentication using OAuth, JWT, or API keys Azure cloud exposure - you've worked with or deployed to Azure services Testing mindset - you write unit tests and understand integration testing Problem solving skills - you can debug issues and work through technical challenges Desirable Skills and Experience Experience building APIs for third party integrations or external partners Exposure to Supabase or similar backend as a service platforms Knowledge of API documentation tools like Swagger/OpenAPI Understanding of API gateways or Azure API Management Experience with event driven patterns or message queues Familiarity with DevOps practices and CI/CD pipelines Understanding of rate limiting and API security best practices Knowledge of how AI systems interact with APIs What Makes You a Great Fit Learning Mindset: You're excited to grow your API design and architecture skills. You're eager to learn from senior engineers and best practices. API Awareness: You understand that APIs are products with consumers. You think about usability, documentation, and developer experience. Attention to Detail: You care about consistency, documentation quality, and handling edge cases properly. Systems Thinking: You're developing an understanding of how distributed systems work and can reason through integration challenges. Pragmatic Approach: You balance learning with delivering value. You know when to ask for help and when to dive in. Collaboration: You work well with other engineers, product teams, and stakeholders. You communicate clearly about technical topics. Ownership: You take responsibility for your work and follow through on commitments. You care about the quality of what you build. Proactive Attitude: You see opportunities to improve and aren't deterred by challenges. You bring positive energy and a can do attitude. Quality Focused: You care about writing clean code, good tests, and building maintainable systems. Benefits Competitive salary Performance based bonus 25 days annual leave Health insurance Life insurance Company pension Company events Free food onsite On site parking Referral programme Employee Assistance Programme
Requirements While some professional experience in the AI/ML space is a requirement, this role is perfectly suited for a senior product or full-stack engineer who is excited to jump fully into the AI/ML product space and build applications on the cutting edge of these new technologies We are looking for a strong Senior Full Stack Engineer with a passion for product and a curiosity for AI Application Development: Proven expertise in building, testing, and deploying modern full-stack web applications. Strong skills in front-end frameworks (e.g. React), application back-ends (e.g., python, serverless/containerised applications, APIs), and database storage Product Ownership: A product-focused mindset with experience in taking applications from concept to production. Comfortable with full lifecycle ownership, including maintenance and on-call responsibilities Cloud and Infrastructure: Experience with cloud platforms and familiarity with infrastructure concepts (e.g. CI/CD, containerisation, serverless) needed to build scalable and reliable applications Collaboration and Communication: Excellent ability to work effectively in a cross-functional team, managing stakeholders and clearly translating complex technical ideas and user feedback into product features Problem-solving and Initiative: Strong analytical and troubleshooting skills. Excited by the ambiguity of a new, experimental team and able to take ownership to drive initiatives forward AI/ML Interest: A strong interest in and hands-on experience with AI/ML technologies, such as LLM-based applications, RAG, or agent frameworks. The role will require learning and developing this area of knowledge Event-Driven Systems (Bonus): Knowledge of event-driven systems (e.g. Kafka) is a plus. Willingness to learn is a requirement Even if your past experience doesn't align perfectly with every requirement, we'd still love to hear from you What the job involves You will be joining our AI and Machine Learning team, which for the past two years has been at the forefront of leveraging AI to transform our business. Our team is composed of talented platform engineers, data scientists and a Product Manager and we are now looking for a Senior AI Engineer to build the applications that our internal and external users will interact with This is a strategic, hands-on role created to embed critical full-stack engineering skills directly within our AI/ML experts. Your mission is to bridge the gap between our AI systems and user-facing applications By adding your expertise, you will help make our team a more self-sufficient unit, capable of moving from concept to production with greater speed and efficiency. You will spearhead the development of flagship GenAI products, across multiple business areas and will own the full product lifecycle, from design and development to production support and maintenance Design, build, and maintain modern, full-stack web applications, including front-end development, serverless or containerised back-ends, APIs, and database storage. Employ technologies specifically suited to GenAI applications (MCP, Knowledge Bases, Agent to Agent communication, Agent Catalogues, LLM output monitoring and evaluation systems etc.) Take ownership of and accelerate the development of flagship GenAI products, like our internal "Customer Profile," to reduce time-to-value and iterate rapidly based on user feedback Collaborate directly with AI/ML engineers, data scientists, product engineers and product managers in a rapid experimentation and prototyping environment Embrace and drive a culture of full lifecycle ownership, taking responsibility for your applications' design, development, ongoing production support, maintenance, and on-call duties Help evolve our cross-functional operating model, establishing robust, repeatable processes and best practices for building end-to-end AI applications Set standards and best practices for the implementation and development of production GenAI applications and share knowledge with the rest of our engineering organisation Mentor junior team members and contribute to building an outcome driven innovation culture within Funding Circle
19/05/2026
Full time
Requirements While some professional experience in the AI/ML space is a requirement, this role is perfectly suited for a senior product or full-stack engineer who is excited to jump fully into the AI/ML product space and build applications on the cutting edge of these new technologies We are looking for a strong Senior Full Stack Engineer with a passion for product and a curiosity for AI Application Development: Proven expertise in building, testing, and deploying modern full-stack web applications. Strong skills in front-end frameworks (e.g. React), application back-ends (e.g., python, serverless/containerised applications, APIs), and database storage Product Ownership: A product-focused mindset with experience in taking applications from concept to production. Comfortable with full lifecycle ownership, including maintenance and on-call responsibilities Cloud and Infrastructure: Experience with cloud platforms and familiarity with infrastructure concepts (e.g. CI/CD, containerisation, serverless) needed to build scalable and reliable applications Collaboration and Communication: Excellent ability to work effectively in a cross-functional team, managing stakeholders and clearly translating complex technical ideas and user feedback into product features Problem-solving and Initiative: Strong analytical and troubleshooting skills. Excited by the ambiguity of a new, experimental team and able to take ownership to drive initiatives forward AI/ML Interest: A strong interest in and hands-on experience with AI/ML technologies, such as LLM-based applications, RAG, or agent frameworks. The role will require learning and developing this area of knowledge Event-Driven Systems (Bonus): Knowledge of event-driven systems (e.g. Kafka) is a plus. Willingness to learn is a requirement Even if your past experience doesn't align perfectly with every requirement, we'd still love to hear from you What the job involves You will be joining our AI and Machine Learning team, which for the past two years has been at the forefront of leveraging AI to transform our business. Our team is composed of talented platform engineers, data scientists and a Product Manager and we are now looking for a Senior AI Engineer to build the applications that our internal and external users will interact with This is a strategic, hands-on role created to embed critical full-stack engineering skills directly within our AI/ML experts. Your mission is to bridge the gap between our AI systems and user-facing applications By adding your expertise, you will help make our team a more self-sufficient unit, capable of moving from concept to production with greater speed and efficiency. You will spearhead the development of flagship GenAI products, across multiple business areas and will own the full product lifecycle, from design and development to production support and maintenance Design, build, and maintain modern, full-stack web applications, including front-end development, serverless or containerised back-ends, APIs, and database storage. Employ technologies specifically suited to GenAI applications (MCP, Knowledge Bases, Agent to Agent communication, Agent Catalogues, LLM output monitoring and evaluation systems etc.) Take ownership of and accelerate the development of flagship GenAI products, like our internal "Customer Profile," to reduce time-to-value and iterate rapidly based on user feedback Collaborate directly with AI/ML engineers, data scientists, product engineers and product managers in a rapid experimentation and prototyping environment Embrace and drive a culture of full lifecycle ownership, taking responsibility for your applications' design, development, ongoing production support, maintenance, and on-call duties Help evolve our cross-functional operating model, establishing robust, repeatable processes and best practices for building end-to-end AI applications Set standards and best practices for the implementation and development of production GenAI applications and share knowledge with the rest of our engineering organisation Mentor junior team members and contribute to building an outcome driven innovation culture within Funding Circle
Requirements Strong commercial experience developing computer vision algorithms in production environments Deep knowledge of modern C++ within large and complex systems Strong experience with 3D geometry, tracking and numerical optimisation Proven experience designing systems or leading major architectural work Ability to operate at both detailed algorithm level and high-level system design Strong communication skills and ability to work with senior stakeholders Experience mentoring or leading engineers within a team (Desirable) Experience with CUDA or GPU acceleration (Desirable) Awareness of concurrency, networking or operating system concepts (Desirable) Experience working with distributed or cloud-based systems (Desirable) Exposure to machine learning techniques What the job involves Hi, I'm James Sharam, Head of Computer Vision at Hawk-Eye Innovations. I'm looking for a Principal Computer Vision Engineer to join our Cricket Solution Squad This is a high-impact role focused on building a brand new cricket tracking system. You'll play a key role in shaping the architecture, technical direction and delivery of a next-generation tracking platform used in live sports environments We're looking for someone who can operate at both a deep technical level and a system-wide level, bringing strong C++ expertise, computer vision knowledge and leadership capability to guide a small, high-performing team A strong background in mathematics and modelling is encouraged. If you enjoy solving complex problems, influencing technical direction, and building scalable systems, I'd love to hear from you We're looking for a Principal Computer Vision Engineer to take ownership of a new, production-grade cricket tracking system and help define how it is designed, built and scaled This role goes beyond implementation. It's about setting technical standards, shaping architecture, guiding a small squad, and ensuring systems are robust, scalable and production-ready The role is strongly algorithm-focused, with an emphasis on accuracy, performance and system-level thinking, spanning modern C++, multi-camera geometry and real-time tracking systems Leading the design and development of a brand new cricket tracking system Owning tracking pipelines across the full system Defining and evolving system architecture Driving robustness, accuracy and performance in live sports environments Working closely with stakeholders, including senior leadership, to align technical delivery with product goals Supporting integration into broader tracking, broadcast and platform systems Exploring future capabilities including AR and broadcast enhancements Lead the development of computer vision systems from concept through to production Set technical direction and standards across algorithmic and engineering approaches Own system architecture and ensure long-term scalability, maintainability and quality Guide and support a small squad (approx. 5-8 engineers), helping unblock and mentor team members Translate business and product requirements into technical roadmaps and delivery plans Drive architectural discussions around performance, scalability and deployment Act as a technical escalation point for complex challenges Collaborate closely with cross-functional teams and senior stakeholders
19/05/2026
Full time
Requirements Strong commercial experience developing computer vision algorithms in production environments Deep knowledge of modern C++ within large and complex systems Strong experience with 3D geometry, tracking and numerical optimisation Proven experience designing systems or leading major architectural work Ability to operate at both detailed algorithm level and high-level system design Strong communication skills and ability to work with senior stakeholders Experience mentoring or leading engineers within a team (Desirable) Experience with CUDA or GPU acceleration (Desirable) Awareness of concurrency, networking or operating system concepts (Desirable) Experience working with distributed or cloud-based systems (Desirable) Exposure to machine learning techniques What the job involves Hi, I'm James Sharam, Head of Computer Vision at Hawk-Eye Innovations. I'm looking for a Principal Computer Vision Engineer to join our Cricket Solution Squad This is a high-impact role focused on building a brand new cricket tracking system. You'll play a key role in shaping the architecture, technical direction and delivery of a next-generation tracking platform used in live sports environments We're looking for someone who can operate at both a deep technical level and a system-wide level, bringing strong C++ expertise, computer vision knowledge and leadership capability to guide a small, high-performing team A strong background in mathematics and modelling is encouraged. If you enjoy solving complex problems, influencing technical direction, and building scalable systems, I'd love to hear from you We're looking for a Principal Computer Vision Engineer to take ownership of a new, production-grade cricket tracking system and help define how it is designed, built and scaled This role goes beyond implementation. It's about setting technical standards, shaping architecture, guiding a small squad, and ensuring systems are robust, scalable and production-ready The role is strongly algorithm-focused, with an emphasis on accuracy, performance and system-level thinking, spanning modern C++, multi-camera geometry and real-time tracking systems Leading the design and development of a brand new cricket tracking system Owning tracking pipelines across the full system Defining and evolving system architecture Driving robustness, accuracy and performance in live sports environments Working closely with stakeholders, including senior leadership, to align technical delivery with product goals Supporting integration into broader tracking, broadcast and platform systems Exploring future capabilities including AR and broadcast enhancements Lead the development of computer vision systems from concept through to production Set technical direction and standards across algorithmic and engineering approaches Own system architecture and ensure long-term scalability, maintainability and quality Guide and support a small squad (approx. 5-8 engineers), helping unblock and mentor team members Translate business and product requirements into technical roadmaps and delivery plans Drive architectural discussions around performance, scalability and deployment Act as a technical escalation point for complex challenges Collaborate closely with cross-functional teams and senior stakeholders
Requirements You bring 3-6 years of data science, software engineering, consulting, or product management experience that includes customer-facing work or product ownership You have a strong technical or quantitative background, preferably in fields such as Computer Science, Mathematics, Software Engineering, Physics, Data Science, or Economics You are eager to dive into the domain of our customers, including credit underwriting, financial risk assessment, and financial crime detection You write clean, maintainable Python and SQL, and have a good understanding of REST APIs You excel at breaking down complex problems and abstracting them into scalable, reusable solutions You build strong relationships with both technical and business stakeholders at all levels, driven by a product-centric mindset to understand their needs and solve their challenges at scale You are open to a hybrid work model and can work from our NYC office at least three days per week (Desirable) You have experience in building AI applications within financial services (Desirable) You have experience in applying and optimizing statistical and machine learning models to solve business problems (Desirable) You have experience with at least one of the major cloud platforms (AWS, Azure, GCP) We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply What the job involves Taktile is redefining how financial institutions use AI to make critical decisions, and we're growing fast. As an Applied AI Engineer, you'll be at the heart of that transformation, building advanced agentic products that solve high-value problems. You will act as a product owner for the AI agents you create, turning them into reusable applications that solve concrete customer problems at scale in the financial crime or credit risk space If you're passionate about applying AI to real-world financial decisioning, stay current on advances in generative AI, and bring a solid foundation in Python, SQL, and working with APIs, you'll thrive here Build Reusable AI Products: Act as the product owner for your application area. Design, develop, and deploy robust, repeatable Generative AI agents that serve as configurable solutions for our customers Drive Scalable Value: Partner with Solution and Forward Deployed Engineers during critical sales and implementation projects to deeply understand customer needs. Develop standard templates and reusable components that reduce time-to-activation and solve core challenges Product Vision and Iteration: Synthesize customer feedback into a clear vision for your agents. Iterate on your solutions to solve concrete use cases at scale, treating every agent as a product itself Collaborate with Core Product: Work closely with the core product team to prioritize platform features that unblock application development, and act as an expert user consultant during the development of new features
19/05/2026
Full time
Requirements You bring 3-6 years of data science, software engineering, consulting, or product management experience that includes customer-facing work or product ownership You have a strong technical or quantitative background, preferably in fields such as Computer Science, Mathematics, Software Engineering, Physics, Data Science, or Economics You are eager to dive into the domain of our customers, including credit underwriting, financial risk assessment, and financial crime detection You write clean, maintainable Python and SQL, and have a good understanding of REST APIs You excel at breaking down complex problems and abstracting them into scalable, reusable solutions You build strong relationships with both technical and business stakeholders at all levels, driven by a product-centric mindset to understand their needs and solve their challenges at scale You are open to a hybrid work model and can work from our NYC office at least three days per week (Desirable) You have experience in building AI applications within financial services (Desirable) You have experience in applying and optimizing statistical and machine learning models to solve business problems (Desirable) You have experience with at least one of the major cloud platforms (AWS, Azure, GCP) We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply What the job involves Taktile is redefining how financial institutions use AI to make critical decisions, and we're growing fast. As an Applied AI Engineer, you'll be at the heart of that transformation, building advanced agentic products that solve high-value problems. You will act as a product owner for the AI agents you create, turning them into reusable applications that solve concrete customer problems at scale in the financial crime or credit risk space If you're passionate about applying AI to real-world financial decisioning, stay current on advances in generative AI, and bring a solid foundation in Python, SQL, and working with APIs, you'll thrive here Build Reusable AI Products: Act as the product owner for your application area. Design, develop, and deploy robust, repeatable Generative AI agents that serve as configurable solutions for our customers Drive Scalable Value: Partner with Solution and Forward Deployed Engineers during critical sales and implementation projects to deeply understand customer needs. Develop standard templates and reusable components that reduce time-to-activation and solve core challenges Product Vision and Iteration: Synthesize customer feedback into a clear vision for your agents. Iterate on your solutions to solve concrete use cases at scale, treating every agent as a product itself Collaborate with Core Product: Work closely with the core product team to prioritize platform features that unblock application development, and act as an expert user consultant during the development of new features
Requirements Do you love solving complex technical problems and interacting with people? Currently pursuing an undergraduate degree in a Computer Sciences or related field Self-driven and capable of learning new technologies/systems/features with some guidance Fundamental understanding of how the Internet works (OSI Model); Cloudflare has a variety of products that presently impact Layers 3, 4 & 7 Experience using Linux Experience in command line and tools, including curl, dig, traceroute, openssl and git Experience writing scripts in Bash, Python, JavaScript, or other scripting languages Awareness of what DNS, SSL/TLS and HTTP is and how these function Awareness of or experience installing and configuring web servers like Apache, Nginx, and IIS Must be able to work 40 hours a week Must be able to commit to a 12 week program (Desirable) Experience troubleshooting network connectivity issues, BGP routing, and GRE tunnels (Desirable) You are familiar with Cloudflare and have a site actively using our platform (Desirable) You are fluent and can troubleshoot in Mandarin, Spanish, and Portuguese What the job involves The Customer Support Team solves complicated problems and answers technical inquiries via phone, email, chat, and social media. Whether it is a Wordpress blogger using our services for free or a global Enterprise business with petabytes of web traffic, our team is always eager to assist We are the eyes and ears of Cloudflare, acting as the real-time voice of the customer to help communicate their needs and real-world use cases back to the rest of the company - to help build a better service and future product development As a Technical Support Engineer Intern at Cloudflare, you'll work directly with customers and cross-functional teams to tackle a variety of technical challenges You'll gain hands on experience with our products, learn the inner workings of Cloudflare's offerings, and deepen your understanding of internet technologies This role also provides opportunities to develop valuable technical and professional skills, as well as job shadowing experiences to explore different roles within the company Join us to enhance your skill set while making a real impact! Collaborate with senior engineers to analyze and troubleshoot customer issues Track support requests using our ticketing system Participate in team meetings to discuss and share feedback Help create and update technical documentation and run books Provide feedback on our product and potential improvements based on customer interactions Support the team in testing new releases and reporting bugs Perform other duties/projects as assigned
19/05/2026
Full time
Requirements Do you love solving complex technical problems and interacting with people? Currently pursuing an undergraduate degree in a Computer Sciences or related field Self-driven and capable of learning new technologies/systems/features with some guidance Fundamental understanding of how the Internet works (OSI Model); Cloudflare has a variety of products that presently impact Layers 3, 4 & 7 Experience using Linux Experience in command line and tools, including curl, dig, traceroute, openssl and git Experience writing scripts in Bash, Python, JavaScript, or other scripting languages Awareness of what DNS, SSL/TLS and HTTP is and how these function Awareness of or experience installing and configuring web servers like Apache, Nginx, and IIS Must be able to work 40 hours a week Must be able to commit to a 12 week program (Desirable) Experience troubleshooting network connectivity issues, BGP routing, and GRE tunnels (Desirable) You are familiar with Cloudflare and have a site actively using our platform (Desirable) You are fluent and can troubleshoot in Mandarin, Spanish, and Portuguese What the job involves The Customer Support Team solves complicated problems and answers technical inquiries via phone, email, chat, and social media. Whether it is a Wordpress blogger using our services for free or a global Enterprise business with petabytes of web traffic, our team is always eager to assist We are the eyes and ears of Cloudflare, acting as the real-time voice of the customer to help communicate their needs and real-world use cases back to the rest of the company - to help build a better service and future product development As a Technical Support Engineer Intern at Cloudflare, you'll work directly with customers and cross-functional teams to tackle a variety of technical challenges You'll gain hands on experience with our products, learn the inner workings of Cloudflare's offerings, and deepen your understanding of internet technologies This role also provides opportunities to develop valuable technical and professional skills, as well as job shadowing experiences to explore different roles within the company Join us to enhance your skill set while making a real impact! Collaborate with senior engineers to analyze and troubleshoot customer issues Track support requests using our ticketing system Participate in team meetings to discuss and share feedback Help create and update technical documentation and run books Provide feedback on our product and potential improvements based on customer interactions Support the team in testing new releases and reporting bugs Perform other duties/projects as assigned
Location London Employment Type Full time Location Type Hybrid Department Commercial Revenue Operations Synthesia is the world's leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. Senior Data Engineer We're hiring a Senior Data Engineer to join Synthesia and take ownership of our core data systems. You'll be responsible for designing and maintaining scalable pipelines, optimising data models, and ensuring high data quality and governance standards. What you'll do at Synthesia: Architect and scale robust, end-to-end data pipelines that ingest and transform complex semi-structured and structured data into our Snowflake data warehouse. Own the evolution of our dbt project - implementing modular modelling patterns and other best practices to ensure a "single source of truth" for the entire organisation. Manage platform infrastructure in snowflake, AWS and other tools. Continuously optimise warehouse performance and cost by diagnosing bottlenecks, tuning inefficient queries, and improving how compute resources are used as we scale. Bridge the gap between experimental data science workflows and production, building the infrastructure and orchestration needed to deploy and monitor batch ML jobs. Drive best practices in data security, governance, and compliance, particularly with regards to AI. Partner with cross-functional stakeholders to understand data requirements and translate them into technical solutions. What we're looking for: 5+ years of experience as a Data Engineer or in a closely related role, with a proven track record of building and operating production data systems. Experience working in an early-stage or scaling data function. You're comfortable taking ownership and wearing multiple hats when needed. Strong foundations in software engineering and data modelling best practices, with an ability to design systems that are maintainable, scalable, and easy for others to build on. Deep expertise in SQL, and solid experience using Python or similar languages to build data pipelines, tooling, and orchestration (Airflow). Hands on experience managing cloud infrastructure using infrastructure-as-code (e.g. Terraform) on AWS, GCP, or similar platforms. A pragmatic approach to data platform design, with an eye for performance, cost efficiency, and operational reliability. Excellent communication skills: you can work effectively with technical and non-technical stakeholders to gather requirements, explain trade-offs and communicate data team needs. A product-oriented mindset, with an understanding of how data can shape decision making and accelerate company growth.
19/05/2026
Full time
Location London Employment Type Full time Location Type Hybrid Department Commercial Revenue Operations Synthesia is the world's leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. Senior Data Engineer We're hiring a Senior Data Engineer to join Synthesia and take ownership of our core data systems. You'll be responsible for designing and maintaining scalable pipelines, optimising data models, and ensuring high data quality and governance standards. What you'll do at Synthesia: Architect and scale robust, end-to-end data pipelines that ingest and transform complex semi-structured and structured data into our Snowflake data warehouse. Own the evolution of our dbt project - implementing modular modelling patterns and other best practices to ensure a "single source of truth" for the entire organisation. Manage platform infrastructure in snowflake, AWS and other tools. Continuously optimise warehouse performance and cost by diagnosing bottlenecks, tuning inefficient queries, and improving how compute resources are used as we scale. Bridge the gap between experimental data science workflows and production, building the infrastructure and orchestration needed to deploy and monitor batch ML jobs. Drive best practices in data security, governance, and compliance, particularly with regards to AI. Partner with cross-functional stakeholders to understand data requirements and translate them into technical solutions. What we're looking for: 5+ years of experience as a Data Engineer or in a closely related role, with a proven track record of building and operating production data systems. Experience working in an early-stage or scaling data function. You're comfortable taking ownership and wearing multiple hats when needed. Strong foundations in software engineering and data modelling best practices, with an ability to design systems that are maintainable, scalable, and easy for others to build on. Deep expertise in SQL, and solid experience using Python or similar languages to build data pipelines, tooling, and orchestration (Airflow). Hands on experience managing cloud infrastructure using infrastructure-as-code (e.g. Terraform) on AWS, GCP, or similar platforms. A pragmatic approach to data platform design, with an eye for performance, cost efficiency, and operational reliability. Excellent communication skills: you can work effectively with technical and non-technical stakeholders to gather requirements, explain trade-offs and communicate data team needs. A product-oriented mindset, with an understanding of how data can shape decision making and accelerate company growth.
What's Exciting About the Role Verifone is seeking an experienced MySQL lead who will be responsible for ensuring database performance, high availability, and security of clusters and single instances of MySQL instances. You will also be responsible for orchestrating upgrades, backups, HA/DR, and provisioning database instances. You will work closely with other teams, including application architects, senior developers, and application support engineers for architecture design and SQL optimization, establishing and documenting best practices. We look for dedicated and versatile engineers who are passionate about working in a company whose culture is dedicated to delivering innovative software products that solve our customers' most challenging business needs. As a Lead DBA, you'll have the opportunity to make significant and direct impact on our database performance, applications, and solve some of the most complex challenges in cloud and on-prem environments, while leading the team from a technical and development perspective. Locations Bucharest, Romania London, United Kingdom Riga, Latvia Warsaw, Poland Key Responsibilities You will be responsible for ensuring that database management policies, processes and procedures are established and followed, adhering to ITIL good practice principles and are subjected to continuous improvement as per PCI standards. They will be responsible for reviewing system design changes to ensure they adhere to expected service standards and recommend changes to ensure maximum stability, availability and efficiency of the supported applications. The candidate should understand the application functionality, business logics and work with application stakeholders to understand the requirement and discuss with new application features and propose the right solutions. He must liaise closely and work in collaboration with the release management teams, support teams and the infrastructure DBAs. Design, install, deploy, and manage MySQL on physical, virtual, AWS EC2 / RDS / Aurora. Build MySQL clusters with a high availability, active active cluster setup in large scale and multi datacenter environments having minimum RPO/RTO on a DR scenario. Design and implement uniform backup strategy and business continuity plans across the MySQL environments using Percona XtraDB or custom automation scripts with reliable monitoring and alerting mechanisms. Define thorough and validated database monitoring and alerting, along with documentation for future references. Setup high availability with master master / master slave replication. Maintain stable performance via server optimizations. Guide engineering teams to best practices on server configurations and SQL tuning. Maintain security and compliance via OS and database version upgrades. Work with application stakeholders to create effective database solutions. Create and maintain ad hoc reports. Adhere to the incident and change process, prepare thorough documentation, and peer review planned production tasks. Support application release process, and automations. Mentor and develop other engineers on MySQL skills. Required Qualifications/Skills Minimum 8 years of experience managing MySQL. Experience with MySQL Active/Active cluster setup, database upgrade and migrations, scripting. Experience administrating MySQL on Linux platform. Experience with MySQL version upgrades in production environments with zero or very minimum application downtime. Experience with design & architecting MySQL environments using any framework such as Galera Cluster or Percona XtraDB. Experience deploying database monitoring using at least one of PMM, New Relic, Datadog, Nagios, Grafana, ELK, AppD, etc. Infrastructure as Code (IaC) such as Terraform, Ansible, Puppet, Chef. Proficiency with cloud infrastructure, AWS RDS or equivalent. Automation/scripting skills in a modern language like Python, shell scripting, Go, Java, Rust. Proficiency in CI/CD pipelines such as Jenkins, GitHub Actions, GitLab. Advanced experience with database performance tuning including SQL tuning, hardware configuration and capacity planning. Strong technical leadership, mentoring and time management skills. Preferred Skills Experience working with PCI (Payment Card Industry Data Security) standards. ITIL environment experience. Deep experience with SQL, stored procedures, functions, triggers, batch jobs, reporting, analytics. Experience managing PostgreSQL, SQL Server, and/or Oracle. Experience and knowledge with NoSQL and data engineering technologies such as Kafka, Redis, Snowflake, Databricks, Spark, Redshift, ETL, etc. Experience with data analytics and business intelligence. Our Commitment Verifone is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Verifone is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
19/05/2026
Full time
What's Exciting About the Role Verifone is seeking an experienced MySQL lead who will be responsible for ensuring database performance, high availability, and security of clusters and single instances of MySQL instances. You will also be responsible for orchestrating upgrades, backups, HA/DR, and provisioning database instances. You will work closely with other teams, including application architects, senior developers, and application support engineers for architecture design and SQL optimization, establishing and documenting best practices. We look for dedicated and versatile engineers who are passionate about working in a company whose culture is dedicated to delivering innovative software products that solve our customers' most challenging business needs. As a Lead DBA, you'll have the opportunity to make significant and direct impact on our database performance, applications, and solve some of the most complex challenges in cloud and on-prem environments, while leading the team from a technical and development perspective. Locations Bucharest, Romania London, United Kingdom Riga, Latvia Warsaw, Poland Key Responsibilities You will be responsible for ensuring that database management policies, processes and procedures are established and followed, adhering to ITIL good practice principles and are subjected to continuous improvement as per PCI standards. They will be responsible for reviewing system design changes to ensure they adhere to expected service standards and recommend changes to ensure maximum stability, availability and efficiency of the supported applications. The candidate should understand the application functionality, business logics and work with application stakeholders to understand the requirement and discuss with new application features and propose the right solutions. He must liaise closely and work in collaboration with the release management teams, support teams and the infrastructure DBAs. Design, install, deploy, and manage MySQL on physical, virtual, AWS EC2 / RDS / Aurora. Build MySQL clusters with a high availability, active active cluster setup in large scale and multi datacenter environments having minimum RPO/RTO on a DR scenario. Design and implement uniform backup strategy and business continuity plans across the MySQL environments using Percona XtraDB or custom automation scripts with reliable monitoring and alerting mechanisms. Define thorough and validated database monitoring and alerting, along with documentation for future references. Setup high availability with master master / master slave replication. Maintain stable performance via server optimizations. Guide engineering teams to best practices on server configurations and SQL tuning. Maintain security and compliance via OS and database version upgrades. Work with application stakeholders to create effective database solutions. Create and maintain ad hoc reports. Adhere to the incident and change process, prepare thorough documentation, and peer review planned production tasks. Support application release process, and automations. Mentor and develop other engineers on MySQL skills. Required Qualifications/Skills Minimum 8 years of experience managing MySQL. Experience with MySQL Active/Active cluster setup, database upgrade and migrations, scripting. Experience administrating MySQL on Linux platform. Experience with MySQL version upgrades in production environments with zero or very minimum application downtime. Experience with design & architecting MySQL environments using any framework such as Galera Cluster or Percona XtraDB. Experience deploying database monitoring using at least one of PMM, New Relic, Datadog, Nagios, Grafana, ELK, AppD, etc. Infrastructure as Code (IaC) such as Terraform, Ansible, Puppet, Chef. Proficiency with cloud infrastructure, AWS RDS or equivalent. Automation/scripting skills in a modern language like Python, shell scripting, Go, Java, Rust. Proficiency in CI/CD pipelines such as Jenkins, GitHub Actions, GitLab. Advanced experience with database performance tuning including SQL tuning, hardware configuration and capacity planning. Strong technical leadership, mentoring and time management skills. Preferred Skills Experience working with PCI (Payment Card Industry Data Security) standards. ITIL environment experience. Deep experience with SQL, stored procedures, functions, triggers, batch jobs, reporting, analytics. Experience managing PostgreSQL, SQL Server, and/or Oracle. Experience and knowledge with NoSQL and data engineering technologies such as Kafka, Redis, Snowflake, Databricks, Spark, Redshift, ETL, etc. Experience with data analytics and business intelligence. Our Commitment Verifone is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Verifone is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Role Overview Scale's rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMs Upskilling and advisory services to spread the impact of AI As a Production AI Ops Lead, you will design and develop the production lifecycle of full stack AI applications, while supporting end to end system reliability, real time inference observability, sovereign data orchestration, high security software integration, and the resilient cloud infrastructure required for our international government partners. At Scale, we're not just building AI solutions-we're enabling the public sector to transform their operations and better serve citizens through cutting edge technology. If you're ready to shape the future of AI in the public sector and be a founding member of our team, we'd love to hear from you. You will: Own the production outcome: Take full accountability for the long term performance and reliability of AI use cases deployed across international government agencies. Ensure Full Stack integrity: Oversee the end to end health of the platform, ensuring seamless integration between the AI core and all full stack components, from APIs to UI, to maintain a responsive and production ready environment. Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability. Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks. Incident command: Lead the response for production issues in mission critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again. Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials. Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases. Ideally, you have: Experience: 6+ years in a high impact technical role (SRE, FDE or MLOps) with experience in the public sector. Global perspective: Familiarity with international government security standards and the complexities of deploying sovereign AI. System architecture proficiency: Proven experience maintaining production grade applications with a deep understanding of the full request lifecycle connecting frontend/API layers to the backend and AI core. Modern AI Stack expertise: Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools. Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them. Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy. Customer communication: The ability to explain to a high ranking official why the performance of the system has degraded and how we are fixing it. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . We comply with the United States Department of Labor's Pay Transparency provision.
19/05/2026
Full time
Role Overview Scale's rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMs Upskilling and advisory services to spread the impact of AI As a Production AI Ops Lead, you will design and develop the production lifecycle of full stack AI applications, while supporting end to end system reliability, real time inference observability, sovereign data orchestration, high security software integration, and the resilient cloud infrastructure required for our international government partners. At Scale, we're not just building AI solutions-we're enabling the public sector to transform their operations and better serve citizens through cutting edge technology. If you're ready to shape the future of AI in the public sector and be a founding member of our team, we'd love to hear from you. You will: Own the production outcome: Take full accountability for the long term performance and reliability of AI use cases deployed across international government agencies. Ensure Full Stack integrity: Oversee the end to end health of the platform, ensuring seamless integration between the AI core and all full stack components, from APIs to UI, to maintain a responsive and production ready environment. Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability. Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks. Incident command: Lead the response for production issues in mission critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again. Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials. Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases. Ideally, you have: Experience: 6+ years in a high impact technical role (SRE, FDE or MLOps) with experience in the public sector. Global perspective: Familiarity with international government security standards and the complexities of deploying sovereign AI. System architecture proficiency: Proven experience maintaining production grade applications with a deep understanding of the full request lifecycle connecting frontend/API layers to the backend and AI core. Modern AI Stack expertise: Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools. Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them. Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy. Customer communication: The ability to explain to a high ranking official why the performance of the system has degraded and how we are fixing it. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . We comply with the United States Department of Labor's Pay Transparency provision.
Overview It is an exciting time to join Nomad Foods. Due to the high growth of the business, Nomad Foods has a desire to become more data driven. Reporting into the Head of Reporting & Data Engineering, you will be focused on the data engineering part to manage our data across our SAP estate and the Google Cloud Platform (GCP) to enable accurate and timely reporting and insights across Nomad Foods. You will have strong skills in SAP Analytics especially hands on experience of developing in BW/4HANA as you assist us with the move to SAP Business Data Cloud. You will need to learn and understand GCP and the environment we have in place to support it. You will lead on the gathering of requirements for any additions or changes needed to data requirements ensuring that the solution fits in with the agreed way the Central Data Team wants the data and reporting solution to be. To deliver certain projects and pieces of work, this role is required to build effective relationships with key contacts in Nomad Foods and 3rd parties so that the team can be augmented to ensure smooth delivery. Responsibilities Working in the team to ensure the right solution is in place using the technology the right way including SAP Business Data Cloud, SAP BW, and the Google Cloud Platform (GCP) Partnering with the IT Service Partner to develop an Enterprise Data Platform to provide a single version of truth and ensuring minimal movement of data Ensuring best data sources (internal & external) are used along with having the most efficient data pipelines in place Designing data models that support reporting and analytical needs Identifying any data sources that could be useful when doing reporting and insight Working closely with the Revenue Growth Management Team and Commercial Insight Team and any other areas doing reporting and insight Leading the team in the absence of the Head of Reporting & Data Engineering Working with the Data Governance & Master Data Team to highlight any data concerns such as with exporting of data, data quality, using wrong definitions, security, etc. Working with the IT Service Partner to ensure that all data production runs complete successfully, and any issues are dealt with, with the right priority set and suitable communication to the business provided Leading the work with the IT Service Partner to ensure that the Data Model is delivering the data required by the business Optimising data structures for performance Represent the Central Data Team at the Technical Advisory Board (TAB) and Change Advisory Board (CAB) Developing and maintaining development standards in conjunction with the IT Service Partner Leading the testing of any new or changed data items Identifying and testing any upgrades to software Qualifications Essential At least 3 years' experience working in a Data Engineering team or equivalent Strong knowledge of SAP Reporting suite including BW and SAP Analytics Cloud (SAC Good Stakeholder Management skills Strong presentation skills Excellent numerical and analytical skills Strong communication skills (written and verbal) Excellent knowledge of data modelling, including various schemas and their use cases Strong knowledge of SQL Service delivery and improvement mind set Must be a strong team player who can work to a common goal Able to work as part of a small team from a remote location Proactive, works with a sense of urgency, creative about how issues can be resolved, able to think analytically Works collaboratively, constructively challenges, gets key stakeholders "on side", delivers results through others Problem solving: able to get to the heart of problem and its resolution by asking the right questions and ensuring the right options are explored and followed through to completion Strong attention to detail Desirable Experience of working with third party delivery organisations Experience of managing a data lake/data warehouse SAP Datasphere Hands on experience of building analytics in SAP BW/4HANA Experience of working with various SAP systems, such as ECC, S/4HANA, C4C, SuccessFactors, etc. as sources for analytics platforms FMCG / CPG experience Knowledge of Google Cloud Platform
19/05/2026
Full time
Overview It is an exciting time to join Nomad Foods. Due to the high growth of the business, Nomad Foods has a desire to become more data driven. Reporting into the Head of Reporting & Data Engineering, you will be focused on the data engineering part to manage our data across our SAP estate and the Google Cloud Platform (GCP) to enable accurate and timely reporting and insights across Nomad Foods. You will have strong skills in SAP Analytics especially hands on experience of developing in BW/4HANA as you assist us with the move to SAP Business Data Cloud. You will need to learn and understand GCP and the environment we have in place to support it. You will lead on the gathering of requirements for any additions or changes needed to data requirements ensuring that the solution fits in with the agreed way the Central Data Team wants the data and reporting solution to be. To deliver certain projects and pieces of work, this role is required to build effective relationships with key contacts in Nomad Foods and 3rd parties so that the team can be augmented to ensure smooth delivery. Responsibilities Working in the team to ensure the right solution is in place using the technology the right way including SAP Business Data Cloud, SAP BW, and the Google Cloud Platform (GCP) Partnering with the IT Service Partner to develop an Enterprise Data Platform to provide a single version of truth and ensuring minimal movement of data Ensuring best data sources (internal & external) are used along with having the most efficient data pipelines in place Designing data models that support reporting and analytical needs Identifying any data sources that could be useful when doing reporting and insight Working closely with the Revenue Growth Management Team and Commercial Insight Team and any other areas doing reporting and insight Leading the team in the absence of the Head of Reporting & Data Engineering Working with the Data Governance & Master Data Team to highlight any data concerns such as with exporting of data, data quality, using wrong definitions, security, etc. Working with the IT Service Partner to ensure that all data production runs complete successfully, and any issues are dealt with, with the right priority set and suitable communication to the business provided Leading the work with the IT Service Partner to ensure that the Data Model is delivering the data required by the business Optimising data structures for performance Represent the Central Data Team at the Technical Advisory Board (TAB) and Change Advisory Board (CAB) Developing and maintaining development standards in conjunction with the IT Service Partner Leading the testing of any new or changed data items Identifying and testing any upgrades to software Qualifications Essential At least 3 years' experience working in a Data Engineering team or equivalent Strong knowledge of SAP Reporting suite including BW and SAP Analytics Cloud (SAC Good Stakeholder Management skills Strong presentation skills Excellent numerical and analytical skills Strong communication skills (written and verbal) Excellent knowledge of data modelling, including various schemas and their use cases Strong knowledge of SQL Service delivery and improvement mind set Must be a strong team player who can work to a common goal Able to work as part of a small team from a remote location Proactive, works with a sense of urgency, creative about how issues can be resolved, able to think analytically Works collaboratively, constructively challenges, gets key stakeholders "on side", delivers results through others Problem solving: able to get to the heart of problem and its resolution by asking the right questions and ensuring the right options are explored and followed through to completion Strong attention to detail Desirable Experience of working with third party delivery organisations Experience of managing a data lake/data warehouse SAP Datasphere Hands on experience of building analytics in SAP BW/4HANA Experience of working with various SAP systems, such as ECC, S/4HANA, C4C, SuccessFactors, etc. as sources for analytics platforms FMCG / CPG experience Knowledge of Google Cloud Platform
Requirements Demonstrable experience as Staff Engineer designing and delivering solutions in complex business domains, particularly interface design and data modelling, ideally with experience in AWS and API design Proven track record delivering global B2B2C SaaS (energy or other mission critical industries) Success driving adoption of modern engineering practices (e.g. DevOps, CI/CD) Experience in developing and embedding software standards across multiple teams Experience in adapting to significant changes in ways of working Ability to ramp up rapidly in new domains and technologies What the job involves Team: Enterprise Architecture Reporting To: Head of Architecture As a Staff Software Engineer in Enterprise Architecture, you will lead innovation on some of Kaluza's most complex and large-scale solutions. You will influence technical strategy across multiple teams and contribute to a scalable, global platform Your impact will primarily be 'hands-off', focusing on architectural standards and technical leadership; however, you may occasionally embed into teams to dive into code-level design or build critical proofs of concept Architect modern distributed, cloud based systems applying modern architecture and engineering practices in an enterprise software environment Shape and influence technical vision and product roadmaps to align with business goals Provide hands on leadership, making appropriate technical choices to satisfy requirements Mentor, train and guide senior engineers Lead technical audits and decision making with confidence Deliver results, influence diverse audiences, and orchestrate cross functional solutions spanning multiple product features Engage effectively with both technical teams and senior technology leaders Work independently and collaboratively, bringing strong opinions while respecting others, communicating openly, and maintaining self awareness with a continuous growth mindset
19/05/2026
Full time
Requirements Demonstrable experience as Staff Engineer designing and delivering solutions in complex business domains, particularly interface design and data modelling, ideally with experience in AWS and API design Proven track record delivering global B2B2C SaaS (energy or other mission critical industries) Success driving adoption of modern engineering practices (e.g. DevOps, CI/CD) Experience in developing and embedding software standards across multiple teams Experience in adapting to significant changes in ways of working Ability to ramp up rapidly in new domains and technologies What the job involves Team: Enterprise Architecture Reporting To: Head of Architecture As a Staff Software Engineer in Enterprise Architecture, you will lead innovation on some of Kaluza's most complex and large-scale solutions. You will influence technical strategy across multiple teams and contribute to a scalable, global platform Your impact will primarily be 'hands-off', focusing on architectural standards and technical leadership; however, you may occasionally embed into teams to dive into code-level design or build critical proofs of concept Architect modern distributed, cloud based systems applying modern architecture and engineering practices in an enterprise software environment Shape and influence technical vision and product roadmaps to align with business goals Provide hands on leadership, making appropriate technical choices to satisfy requirements Mentor, train and guide senior engineers Lead technical audits and decision making with confidence Deliver results, influence diverse audiences, and orchestrate cross functional solutions spanning multiple product features Engage effectively with both technical teams and senior technology leaders Work independently and collaboratively, bringing strong opinions while respecting others, communicating openly, and maintaining self awareness with a continuous growth mindset
Requirements 12+ years of experience in AI/ML engineering, applied AI, or AI technical product management with at least 4 years in a customer-facing, technical lead position Bachelor's degree in Computer Science, Engineering, Industrial Systems, or a related technical field; advanced degree preferred Exceptional industrial domain understanding (life sciences, manufacturing, energy, infrastructure, asset-intensive industries, material science, etc.) Recent experience with modern AI paradigms such as world models, foundation models, and multi-modal language models; agent-based systems and orchestration; and context retrieval and augmentation techniques Customer-focused, pragmatic, and results-oriented with experience leading cross-functional technical projects or customer engagements Demonstrated hands-on experience deploying or integrating AI/ML solutions into real-world industrial environments Ability to identify emerging opportunities for AI in industrial applications Excellent communication and interpersonal skills with the ability to embed closely with customer teams and collaborate internally across engineering, product, and commercial teams (Desirable) Experience working across on-prem, edge, and cloud-connected architectures (Desirable) Experience in responsible deployment practices, model drift mitigation, privacy-preserving federated learning, and AI governance best practices (Desirable) Industrial data literacy (time series, SCADA, 3-D models) and experience working with non-ideal, real-world data (Desirable) Prior work in environments transitioning from traditional on-prem systems to AI-enabled or hybrid architectures (Desirable) Experience operating within regulated or compliance-driven environments (e.g., energy, safety-critical systems, data privacy) (Desirable) Experience mentoring or guiding less-experienced engineers What the job involves We are hiring a Lead Forward Deployed Engineer, AI to join our team This hands-on leader will drive the development and deployment of AI solutions while bridging the gap between AI technologies exploration and real-world applications, ensuring solutions are practical, scalable, and impactful Provide industrial domain expertise to guide AI tool, platform, and roadmap decisions and development Work directly with internal and external customers in a consultative, problem-solving manner to gather feedback and refine solutions Drive investigations into the application of advanced AI capabilities to industrial problems Identify and define industrial use cases for AI applications Develop AI-enabled demos, prototypes, and proof-of-value solutions for industrial problems Collaborate with cross-functional teams to integrate AI capabilities into industrial software systems and implement AI solutions Evaluate the performance and impact of AI models in operational environments Support and mentor junior team members What success looks like: AI solutions are successfully applied to real industrial problems, not just conceptual designs Prototypes and deployments demonstrate practical feasibility and measurable impact Codified learnings, insights, and architectural patterns are captured in references, guides, playbooks, or building blocks that are digestible and actionable for others Industrial constraints (latency, security, compliance, reliability) are addressed through solid engineering decisions Strong collaboration in a matrix/incubation environment, contributing as a senior technical practitioner Feedback from field deployments meaningfully influences AI platform and product direction
19/05/2026
Full time
Requirements 12+ years of experience in AI/ML engineering, applied AI, or AI technical product management with at least 4 years in a customer-facing, technical lead position Bachelor's degree in Computer Science, Engineering, Industrial Systems, or a related technical field; advanced degree preferred Exceptional industrial domain understanding (life sciences, manufacturing, energy, infrastructure, asset-intensive industries, material science, etc.) Recent experience with modern AI paradigms such as world models, foundation models, and multi-modal language models; agent-based systems and orchestration; and context retrieval and augmentation techniques Customer-focused, pragmatic, and results-oriented with experience leading cross-functional technical projects or customer engagements Demonstrated hands-on experience deploying or integrating AI/ML solutions into real-world industrial environments Ability to identify emerging opportunities for AI in industrial applications Excellent communication and interpersonal skills with the ability to embed closely with customer teams and collaborate internally across engineering, product, and commercial teams (Desirable) Experience working across on-prem, edge, and cloud-connected architectures (Desirable) Experience in responsible deployment practices, model drift mitigation, privacy-preserving federated learning, and AI governance best practices (Desirable) Industrial data literacy (time series, SCADA, 3-D models) and experience working with non-ideal, real-world data (Desirable) Prior work in environments transitioning from traditional on-prem systems to AI-enabled or hybrid architectures (Desirable) Experience operating within regulated or compliance-driven environments (e.g., energy, safety-critical systems, data privacy) (Desirable) Experience mentoring or guiding less-experienced engineers What the job involves We are hiring a Lead Forward Deployed Engineer, AI to join our team This hands-on leader will drive the development and deployment of AI solutions while bridging the gap between AI technologies exploration and real-world applications, ensuring solutions are practical, scalable, and impactful Provide industrial domain expertise to guide AI tool, platform, and roadmap decisions and development Work directly with internal and external customers in a consultative, problem-solving manner to gather feedback and refine solutions Drive investigations into the application of advanced AI capabilities to industrial problems Identify and define industrial use cases for AI applications Develop AI-enabled demos, prototypes, and proof-of-value solutions for industrial problems Collaborate with cross-functional teams to integrate AI capabilities into industrial software systems and implement AI solutions Evaluate the performance and impact of AI models in operational environments Support and mentor junior team members What success looks like: AI solutions are successfully applied to real industrial problems, not just conceptual designs Prototypes and deployments demonstrate practical feasibility and measurable impact Codified learnings, insights, and architectural patterns are captured in references, guides, playbooks, or building blocks that are digestible and actionable for others Industrial constraints (latency, security, compliance, reliability) are addressed through solid engineering decisions Strong collaboration in a matrix/incubation environment, contributing as a senior technical practitioner Feedback from field deployments meaningfully influences AI platform and product direction
Ready to make travel easier for millions? Airalo is the world's first and largest eSIM store, helping travellers stay connected seamlessly in over 200 countries and regions. We trust our teams to take ownership, put customers first, and do work that has a real impact every day. What's in it for you? Airalo offers team members a range of perks, including remote work, generous PTO, wellness and learning allowances, and, of course, our annual Airalo Away retreat. Learn more about our benefits here; Hi, I'm Andra, Director of Data at Airalo! Our team works across the full data ecosystem, from collection to insights activation, ensuring that every piece of data drives meaningful action. We're curious problem-solvers who love tackling challenges that haven't been solved before and building tools and processes that scale impact across the company. Airalo's fully remote Data team is growing. You'll turn numbers into decisions that shape the future of our business, collaborating with cross-functional teams to solve complex problems and influence how millions of travellers stay connected. This isn't just dashboards - it's using data to drive strategy, inform product and growth decisions, and create real impact. You'll have access to best-in-class tools, the freedom to experiment, and a team ready to turn insights into action. As the Data Engineering Manager, you will lead the foundational backend of our data organization. You will directly manage our current pod of Data Engineers (2 Senior Data Engineers and 1 Customer Data Platform Engineer) and shape the hiring roadmap as the function grows - including scoping future specialized roles such as Machine Learning Engineers. Partnering closely with the Data Director, you will help us transition out of the reactive, ad-hoc phase and into a structured, highly scalable data ecosystem. You will own the architecture, ingestion, and orchestration that powers the rest of the data team - ensuring that our Analytics Engineers, Data Analysts and other users have a rock-solid, high-quality foundation to build upon. This role goes beyond building a data platform. You'll be the connective tissue between Product & Engineering, MarTech, and our partner ecosystem - ensuring data is produced cleanly at the source, captured reliably, and delivered cohesively across the entire organization. What You Will Do: Manage, mentor, and grow a high-performing team of Senior Data Engineers and CDP Engineers. Drive hiring for the Data Engineering function as it grows, including scoping future specialized roles such as Machine Learning Engineers. Foster a culture of engineering excellence, continuous learning, and cross-pollination of knowledge. Own the technical roadmap for Airalo's data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade technical designs. Bridge the data platform with MarTech and third party ecosystems (PSPs, MNOs, CDPs, attribution platforms), ensuring customer events, campaign data, and partner integrations flow cohesively in both directions. Partner with Software Engineering to embed data quality at the source - implementing data contracts, co owning schema decisions, and driving the rollout of a data catalogue across the organization. Establish the foundations for real time data capabilities as the business matures beyond batch processing. Design systems that prioritize data quality, privacy, and governance standards across all data initiatives. Transition the team's workflow from reactive problem solving to structured, agile delivery. Oversee the maintenance and optimization of high performance data pipelines, implementing CI/CD automation, observability frameworks, and strict data quality gates. Roll up your sleeves when necessary to assist with complex code reviews, Python/Scala development, or unblocking the team on difficult architectural challenges. Act as a strategic partner to the Analytics Engineering Manager and Data Director to build the backend requirements necessary to achieve our company wide goal of 80 % self serve analytics. Must-haves: 7+ years of professional experience as a Data/Software Engineer, with at least 2+ years of experience directly managing and scaling data engineering teams. You thrive in low maturity or greenfield data environments. You're comfortable navigating ambiguity and enjoy the process of laying down paved roads and engineering standards where none existed before. Deep, hands on background with major cloud platforms (GCP preferred) and cloud native data warehouses (BigQuery preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink). Hands on experience using AI tools to accelerate engineering workflows - code generation, code review, pipeline debugging, or documentation. Strong coding experience in Python (and/or Scala) and advanced SQL across relational and non relational databases. Experience implementing CI/CD, Infrastructure as Code, and observability/monitoring for data pipelines. Bachelor's degree in Computer Science, Engineering, Statistics, Information Systems, or a related quantitative field. Nice-to-have: Experience implementing data contracts, data catalogues (Atlan, Amundsen, DataHub), or federated governance models. Experience with Customer Data Platforms (Segment, mParticle, or similar), MarTech data integration, and real time event processing. Experience in marketplace, B2C, or high volume transactional businesses. Previous work in globally distributed data environments (multi currency, multi region, multi language). Experience building or contributing to experimentation platform infrastructure (A/B testing pipelines, feature flag data, experiment analysis frameworks). Exposure to Machine Learning infrastructure - not necessarily building models, but scoping teams, tooling, and pipelines that support ML workloads. If you are interested in this position, please apply via the link. Please note that to be considered for this role, you must reside in and be fully eligible to work in either Romania, Spain, or the UK. Proof of a valid right to work in one of these three countries will be required. By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process.
19/05/2026
Full time
Ready to make travel easier for millions? Airalo is the world's first and largest eSIM store, helping travellers stay connected seamlessly in over 200 countries and regions. We trust our teams to take ownership, put customers first, and do work that has a real impact every day. What's in it for you? Airalo offers team members a range of perks, including remote work, generous PTO, wellness and learning allowances, and, of course, our annual Airalo Away retreat. Learn more about our benefits here; Hi, I'm Andra, Director of Data at Airalo! Our team works across the full data ecosystem, from collection to insights activation, ensuring that every piece of data drives meaningful action. We're curious problem-solvers who love tackling challenges that haven't been solved before and building tools and processes that scale impact across the company. Airalo's fully remote Data team is growing. You'll turn numbers into decisions that shape the future of our business, collaborating with cross-functional teams to solve complex problems and influence how millions of travellers stay connected. This isn't just dashboards - it's using data to drive strategy, inform product and growth decisions, and create real impact. You'll have access to best-in-class tools, the freedom to experiment, and a team ready to turn insights into action. As the Data Engineering Manager, you will lead the foundational backend of our data organization. You will directly manage our current pod of Data Engineers (2 Senior Data Engineers and 1 Customer Data Platform Engineer) and shape the hiring roadmap as the function grows - including scoping future specialized roles such as Machine Learning Engineers. Partnering closely with the Data Director, you will help us transition out of the reactive, ad-hoc phase and into a structured, highly scalable data ecosystem. You will own the architecture, ingestion, and orchestration that powers the rest of the data team - ensuring that our Analytics Engineers, Data Analysts and other users have a rock-solid, high-quality foundation to build upon. This role goes beyond building a data platform. You'll be the connective tissue between Product & Engineering, MarTech, and our partner ecosystem - ensuring data is produced cleanly at the source, captured reliably, and delivered cohesively across the entire organization. What You Will Do: Manage, mentor, and grow a high-performing team of Senior Data Engineers and CDP Engineers. Drive hiring for the Data Engineering function as it grows, including scoping future specialized roles such as Machine Learning Engineers. Foster a culture of engineering excellence, continuous learning, and cross-pollination of knowledge. Own the technical roadmap for Airalo's data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade technical designs. Bridge the data platform with MarTech and third party ecosystems (PSPs, MNOs, CDPs, attribution platforms), ensuring customer events, campaign data, and partner integrations flow cohesively in both directions. Partner with Software Engineering to embed data quality at the source - implementing data contracts, co owning schema decisions, and driving the rollout of a data catalogue across the organization. Establish the foundations for real time data capabilities as the business matures beyond batch processing. Design systems that prioritize data quality, privacy, and governance standards across all data initiatives. Transition the team's workflow from reactive problem solving to structured, agile delivery. Oversee the maintenance and optimization of high performance data pipelines, implementing CI/CD automation, observability frameworks, and strict data quality gates. Roll up your sleeves when necessary to assist with complex code reviews, Python/Scala development, or unblocking the team on difficult architectural challenges. Act as a strategic partner to the Analytics Engineering Manager and Data Director to build the backend requirements necessary to achieve our company wide goal of 80 % self serve analytics. Must-haves: 7+ years of professional experience as a Data/Software Engineer, with at least 2+ years of experience directly managing and scaling data engineering teams. You thrive in low maturity or greenfield data environments. You're comfortable navigating ambiguity and enjoy the process of laying down paved roads and engineering standards where none existed before. Deep, hands on background with major cloud platforms (GCP preferred) and cloud native data warehouses (BigQuery preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink). Hands on experience using AI tools to accelerate engineering workflows - code generation, code review, pipeline debugging, or documentation. Strong coding experience in Python (and/or Scala) and advanced SQL across relational and non relational databases. Experience implementing CI/CD, Infrastructure as Code, and observability/monitoring for data pipelines. Bachelor's degree in Computer Science, Engineering, Statistics, Information Systems, or a related quantitative field. Nice-to-have: Experience implementing data contracts, data catalogues (Atlan, Amundsen, DataHub), or federated governance models. Experience with Customer Data Platforms (Segment, mParticle, or similar), MarTech data integration, and real time event processing. Experience in marketplace, B2C, or high volume transactional businesses. Previous work in globally distributed data environments (multi currency, multi region, multi language). Experience building or contributing to experimentation platform infrastructure (A/B testing pipelines, feature flag data, experiment analysis frameworks). Exposure to Machine Learning infrastructure - not necessarily building models, but scoping teams, tooling, and pipelines that support ML workloads. If you are interested in this position, please apply via the link. Please note that to be considered for this role, you must reside in and be fully eligible to work in either Romania, Spain, or the UK. Proof of a valid right to work in one of these three countries will be required. By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process.
Cyber Project Manager - Splunk SaaS & UEBA Transformation Location: City of London (5 Days Onsite) Contract Type: Contract Rate: Competitive Daily Rate (Inside IR35) Duration: 12 Months Initial A leading banking organisation based in the City of London is seeking an experienced Cyber Project Manager to lead strategic cybersecurity transformation initiatives focused on SIEM modernisation, Splunk SaaS migration, and UEBA implementation. This is a highly visible role within the Cyber Security Transformation team, requiring strong stakeholder engagement across security, infrastructure, operations, engineering, compliance, and executive leadership teams. Due to the nature of the programme and stakeholder engagement requirements, this role is fully onsite, 5 days per week in the City of London. Responsibilities Lead the end-to-end delivery of a migration from on-premise Splunk platform to Splunk Cloud/SaaS services. Manage the implementation and rollout of User and Entity Behavior Analytics capabilities across the organisation. Coordinate cross-functional teams including Cyber Security, SOC, Infrastructure, Engineering, Architecture, Compliance, and third-party vendors. Own project governance including RAID management, steering committees, reporting, financial tracking, and stakeholder communications. Work closely with security architects and engineering teams to oversee: log source onboarding data migration correlation rule validation operational readiness service transition activities Ensure delivery aligns with banking regulatory, audit, and operational resilience requirements. Manage dependencies, risks, delivery milestones, and programme reporting across multiple security workstreams. Support testing, change management, production transition, and post-implementation activities. Engage regularly with senior technology and business stakeholders across the bank. Requirements Required Experience Proven experience delivering enterprise-scale cyber security projects within banking or financial services environments. Strong experience managing SIEM transformation or migration programmes. Previous experience delivering Splunk Cloud/SaaS migration projects. Understanding of SOC operations, detection engineering, and security monitoring concepts. Experience delivering UEBA or advanced security analytics programmes. Strong stakeholder management capability across both technical and executive audiences. Experience managing third-party vendors, system integrators, and managed security providers. Excellent project governance and delivery management skills including: RAID project planning executive reporting budgeting steering governance Desirable Experience Knowledge of cloud security and hybrid enterprise environments. Familiarity with frameworks and regulatory standards including: ISO27001 NIST DORA PCI-DSS or SOX Experience working within Security Operations Centre (SOC) environments. PRINCE2, PMP, Agile, or equivalent project delivery certifications. Key Skills Cyber Security Project Management SIEM / Splunk Splunk Cloud Migration UEBA Security Operations Financial Services Stakeholder Management Vendor Management Governance & Risk Operational Resilience Benefits This is an excellent opportunity to join a major banking institution delivering high-profile cyber transformation initiatives within a fast-paced and highly regulated environment.
19/05/2026
Full time
Cyber Project Manager - Splunk SaaS & UEBA Transformation Location: City of London (5 Days Onsite) Contract Type: Contract Rate: Competitive Daily Rate (Inside IR35) Duration: 12 Months Initial A leading banking organisation based in the City of London is seeking an experienced Cyber Project Manager to lead strategic cybersecurity transformation initiatives focused on SIEM modernisation, Splunk SaaS migration, and UEBA implementation. This is a highly visible role within the Cyber Security Transformation team, requiring strong stakeholder engagement across security, infrastructure, operations, engineering, compliance, and executive leadership teams. Due to the nature of the programme and stakeholder engagement requirements, this role is fully onsite, 5 days per week in the City of London. Responsibilities Lead the end-to-end delivery of a migration from on-premise Splunk platform to Splunk Cloud/SaaS services. Manage the implementation and rollout of User and Entity Behavior Analytics capabilities across the organisation. Coordinate cross-functional teams including Cyber Security, SOC, Infrastructure, Engineering, Architecture, Compliance, and third-party vendors. Own project governance including RAID management, steering committees, reporting, financial tracking, and stakeholder communications. Work closely with security architects and engineering teams to oversee: log source onboarding data migration correlation rule validation operational readiness service transition activities Ensure delivery aligns with banking regulatory, audit, and operational resilience requirements. Manage dependencies, risks, delivery milestones, and programme reporting across multiple security workstreams. Support testing, change management, production transition, and post-implementation activities. Engage regularly with senior technology and business stakeholders across the bank. Requirements Required Experience Proven experience delivering enterprise-scale cyber security projects within banking or financial services environments. Strong experience managing SIEM transformation or migration programmes. Previous experience delivering Splunk Cloud/SaaS migration projects. Understanding of SOC operations, detection engineering, and security monitoring concepts. Experience delivering UEBA or advanced security analytics programmes. Strong stakeholder management capability across both technical and executive audiences. Experience managing third-party vendors, system integrators, and managed security providers. Excellent project governance and delivery management skills including: RAID project planning executive reporting budgeting steering governance Desirable Experience Knowledge of cloud security and hybrid enterprise environments. Familiarity with frameworks and regulatory standards including: ISO27001 NIST DORA PCI-DSS or SOX Experience working within Security Operations Centre (SOC) environments. PRINCE2, PMP, Agile, or equivalent project delivery certifications. Key Skills Cyber Security Project Management SIEM / Splunk Splunk Cloud Migration UEBA Security Operations Financial Services Stakeholder Management Vendor Management Governance & Risk Operational Resilience Benefits This is an excellent opportunity to join a major banking institution delivering high-profile cyber transformation initiatives within a fast-paced and highly regulated environment.
Platform Engineer - AWS/Terraform Global Financial Services organisation Location: New York Salary: $150,000 - $180,000 + benefits + bonus Hybrid: In office 3 days per week Customer Success Manager Monitoring & Observability Financial Services Location: London (Hybrid) Salary: Circa £100,000 + Bonus + Benefits This is a high-impact Customer Success opportunity with a well-established Software Asset Management (SAM) Practitioner - EMEA (Fintech / Banking) Rate: £650-£800 per day Inside IR35 Contract: 6 month Location: London (Hybrid: 2-3 days per week) Job Description: A tier one fin IT Asset Management (ITAM) Practitioner - Hardware & CMDB (Fintech / Banking) Rate: £650-£800 per day Inside IR35 Contract: 6 month Location: London (Hybrid: 2-3 days per week) The Job: A leading Investment Bank Senior Enterprise Sales Financial Markets Observability & Infrastructure Software Location: London / Hybrid Salary: £120k-£140k base x2 OTE uncapped This is a high-growth, PE backed technology platform used b Account Executive AI Infrastructure Financial Services Enterprise SaaS Location: London (Hybrid) Salary: £100,000 - £140,000 base + uncapped commission + equity A high growth AI infrastructure business is hiring an Customer Success - Forward Deployed Engineer (FDE) AI Platform Banking & Enterprise Technology Location: London (Hybrid - Canary Wharf) Salary: £80,000-£100,000 + equity potential A highly backed AI firm ente Product Consultant - (Fintech Payments) Rate: £1,000 - £1,500 per day (Outside IR35) Contract: 6-month initial contract Location: London (remote first policy) We are partnering with a leading, high grow
19/05/2026
Full time
Platform Engineer - AWS/Terraform Global Financial Services organisation Location: New York Salary: $150,000 - $180,000 + benefits + bonus Hybrid: In office 3 days per week Customer Success Manager Monitoring & Observability Financial Services Location: London (Hybrid) Salary: Circa £100,000 + Bonus + Benefits This is a high-impact Customer Success opportunity with a well-established Software Asset Management (SAM) Practitioner - EMEA (Fintech / Banking) Rate: £650-£800 per day Inside IR35 Contract: 6 month Location: London (Hybrid: 2-3 days per week) Job Description: A tier one fin IT Asset Management (ITAM) Practitioner - Hardware & CMDB (Fintech / Banking) Rate: £650-£800 per day Inside IR35 Contract: 6 month Location: London (Hybrid: 2-3 days per week) The Job: A leading Investment Bank Senior Enterprise Sales Financial Markets Observability & Infrastructure Software Location: London / Hybrid Salary: £120k-£140k base x2 OTE uncapped This is a high-growth, PE backed technology platform used b Account Executive AI Infrastructure Financial Services Enterprise SaaS Location: London (Hybrid) Salary: £100,000 - £140,000 base + uncapped commission + equity A high growth AI infrastructure business is hiring an Customer Success - Forward Deployed Engineer (FDE) AI Platform Banking & Enterprise Technology Location: London (Hybrid - Canary Wharf) Salary: £80,000-£100,000 + equity potential A highly backed AI firm ente Product Consultant - (Fintech Payments) Rate: £1,000 - £1,500 per day (Outside IR35) Contract: 6-month initial contract Location: London (remote first policy) We are partnering with a leading, high grow
