Data Architect Hybrid RCT (South Wales) IntaPeople are proud and excited to be appointed to recruit an experienced Data Architect for a Welsh-based not-for-profit sector client during a rapid growth spurt. This is a very exciting opportunity to join their fast-growing Data function in this newly created position. You will be joining the data team as one of the first handful of team members in this area of the business which will work with external partners to build out the organisations data capability offering. As a Data Architect, you will be responsible for designing, building, and maintaining robust, scalable, and secure data pipelines and platform that enable them to make data-driven decisions at a enterprise level. Working closely with the 'Head of Data Engineering' you will help grow out this data function with the recruitment of further data engineering resources whilst working closely with solutions architects and Software Engineers. You will also get the opportunity to progress into a leadership role if this suited the individuals' desires and capabilities. You will shape, govern and assure the organisation's data architecture, defining, designing and maintaining strategic data models, standards, flows and governance structures that support organisational goals, ensure compliance, foster collaboration across business areas, and enable the organisation to make data-driven decisions Essential Skills Proven experience as a Senior Data Engineer or Data Architect (or similar/related role). Experience with Enterprise level Data sets. Expertise and practical experience in designing and aligning data models across multiple subject areas, applying recognised patterns and industry standards. Familiarity with structured architectural approaches found in TOGAF (data architecture) or equivalent. Proven experience defining and evolving data governance, including data quality, metadata, lineage, and policy assurance across services. Strong capability in data profiling, source system analysis and identifying links across problem domains to define common, reusable solutions. Experience of communicating technical information and data to a non technical audience and working collaboratively with analysts, architects, and product owners to deliver data solutions that meet user and organisational needs. Ability to lead and mentor other team members. Demonstrable knowledge of data modelling and data warehousing within platforms such as Azure or AWS. Practical experience with Microsoft Azure services, including Azure Data Lake (Gen2), Synapse, Event Hubs, and Cosmos DB, within scalable cloud based architectures. Robust understanding of data governance, data quality, and metadata management. Desirable skills Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience in using Git, Azure DevOps, or GitHub Actions for version control, CI/CD, and collaborative data delivery. Experience with Big Data. Certification in data architecture or governance frameworks (e.g., TOGAF, DAMA, DCAM, EDMC). Experience of using programming languages such as Python, Scala and SQL. Welsh language skills. Key Responsibilities (at a glance) Establish Data strategies and data modelling internally within the data estate. Lead the design and oversight of enterprise aligned data models and supporting data architecture, ensuring that all modelling approaches follow organisational standards, recognised patterns, and enable scalable, high quality data flows across services. Provide expert architectural guidance to technical teams delivering cloud based data platforms, ensuring that data integration, modelling, metadata and design decisions align with organisational and enterprise wide standards. Work closely with other business leaders to maintain governance and compliance within their data estate. Work closely with data analysts, data engineering, Enterprise and solution architects, DevOps, and business stakeholders through regular communication and collaborative planning to ensure data solutions are closely aligned with business objectives and effectively meet user needs. Contribute to the development and execution of the Data Strategy by maintaining thorough documentation of data processes, architectures, and workflows to ensure all technical and process information is systematically recorded, updated and data initiatives deliver business value and are aligned with broader technology and organisational goals. Research into emerging technologies and upcoming trends. Provide oversight to teams building data processing pipelines and integration patterns, ensuring their artefacts are consistent with data architecture principles and metadata strategies. Lead on the introduction of foundational data management capabilities to improve trust, accessibility, and efficiency in an organisation that has limited data management capability, lacks data management practices, including governance, metadata standards, and quality controls. Design, implement, and optimise physical data models that align with pipeline architecture, by using the approach that ensures efficient query performance, scalable storage, and robust integration and delivers adaptable and resource efficient data processing, meeting the organisation's evolving analytical and operational demands. Managing the aspirations of a variety of stakeholders to enable successful project delivery can be challenging, especially when their priorities may differ or even conflict and require reconciliation to meet business and project needs. What you'll get in return (at a glance) A salary of circa £64,000 - £65,000 (depending on experience) 28 days annual leave + public bank holidays Hybrid working - to be based in their brand new, modern offices 1 2 days per week A flexible working environment Competitive Legal and General pension Scheme (8% employer contribution) 4 death in service The opportunity to work on modern and industry changing projects Progression and development opportunities Free Rail travel throughout Wales and discounted throughout the UK Salary sacrifice scheme such as cycle to work, electric vehicle A chance to truly contribute to large scale digitalisation projects within Wales This role is commutable from Swansea, Bridgend, Pontypridd, Cardiff and Newport or surrounding areas.
24/06/2026
Full time
Data Architect Hybrid RCT (South Wales) IntaPeople are proud and excited to be appointed to recruit an experienced Data Architect for a Welsh-based not-for-profit sector client during a rapid growth spurt. This is a very exciting opportunity to join their fast-growing Data function in this newly created position. You will be joining the data team as one of the first handful of team members in this area of the business which will work with external partners to build out the organisations data capability offering. As a Data Architect, you will be responsible for designing, building, and maintaining robust, scalable, and secure data pipelines and platform that enable them to make data-driven decisions at a enterprise level. Working closely with the 'Head of Data Engineering' you will help grow out this data function with the recruitment of further data engineering resources whilst working closely with solutions architects and Software Engineers. You will also get the opportunity to progress into a leadership role if this suited the individuals' desires and capabilities. You will shape, govern and assure the organisation's data architecture, defining, designing and maintaining strategic data models, standards, flows and governance structures that support organisational goals, ensure compliance, foster collaboration across business areas, and enable the organisation to make data-driven decisions Essential Skills Proven experience as a Senior Data Engineer or Data Architect (or similar/related role). Experience with Enterprise level Data sets. Expertise and practical experience in designing and aligning data models across multiple subject areas, applying recognised patterns and industry standards. Familiarity with structured architectural approaches found in TOGAF (data architecture) or equivalent. Proven experience defining and evolving data governance, including data quality, metadata, lineage, and policy assurance across services. Strong capability in data profiling, source system analysis and identifying links across problem domains to define common, reusable solutions. Experience of communicating technical information and data to a non technical audience and working collaboratively with analysts, architects, and product owners to deliver data solutions that meet user and organisational needs. Ability to lead and mentor other team members. Demonstrable knowledge of data modelling and data warehousing within platforms such as Azure or AWS. Practical experience with Microsoft Azure services, including Azure Data Lake (Gen2), Synapse, Event Hubs, and Cosmos DB, within scalable cloud based architectures. Robust understanding of data governance, data quality, and metadata management. Desirable skills Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience in using Git, Azure DevOps, or GitHub Actions for version control, CI/CD, and collaborative data delivery. Experience with Big Data. Certification in data architecture or governance frameworks (e.g., TOGAF, DAMA, DCAM, EDMC). Experience of using programming languages such as Python, Scala and SQL. Welsh language skills. Key Responsibilities (at a glance) Establish Data strategies and data modelling internally within the data estate. Lead the design and oversight of enterprise aligned data models and supporting data architecture, ensuring that all modelling approaches follow organisational standards, recognised patterns, and enable scalable, high quality data flows across services. Provide expert architectural guidance to technical teams delivering cloud based data platforms, ensuring that data integration, modelling, metadata and design decisions align with organisational and enterprise wide standards. Work closely with other business leaders to maintain governance and compliance within their data estate. Work closely with data analysts, data engineering, Enterprise and solution architects, DevOps, and business stakeholders through regular communication and collaborative planning to ensure data solutions are closely aligned with business objectives and effectively meet user needs. Contribute to the development and execution of the Data Strategy by maintaining thorough documentation of data processes, architectures, and workflows to ensure all technical and process information is systematically recorded, updated and data initiatives deliver business value and are aligned with broader technology and organisational goals. Research into emerging technologies and upcoming trends. Provide oversight to teams building data processing pipelines and integration patterns, ensuring their artefacts are consistent with data architecture principles and metadata strategies. Lead on the introduction of foundational data management capabilities to improve trust, accessibility, and efficiency in an organisation that has limited data management capability, lacks data management practices, including governance, metadata standards, and quality controls. Design, implement, and optimise physical data models that align with pipeline architecture, by using the approach that ensures efficient query performance, scalable storage, and robust integration and delivers adaptable and resource efficient data processing, meeting the organisation's evolving analytical and operational demands. Managing the aspirations of a variety of stakeholders to enable successful project delivery can be challenging, especially when their priorities may differ or even conflict and require reconciliation to meet business and project needs. What you'll get in return (at a glance) A salary of circa £64,000 - £65,000 (depending on experience) 28 days annual leave + public bank holidays Hybrid working - to be based in their brand new, modern offices 1 2 days per week A flexible working environment Competitive Legal and General pension Scheme (8% employer contribution) 4 death in service The opportunity to work on modern and industry changing projects Progression and development opportunities Free Rail travel throughout Wales and discounted throughout the UK Salary sacrifice scheme such as cycle to work, electric vehicle A chance to truly contribute to large scale digitalisation projects within Wales This role is commutable from Swansea, Bridgend, Pontypridd, Cardiff and Newport or surrounding areas.
Senior Data Engineer Cardiff (hybrid) £47,675 Benefits: 28.9% Pension & 31 days annual leave + Bank Holidays, and 2 Privilege days We're looking for an experienced Senior Data Engineer to design and build a modern cloud data platform from the ground up. This is a greenfield opportunity where you'll shape the organisation's data architecture, establish engineering best practices, and create scalable solutions that power reporting, analytics, and future AI initiatives. If you enjoy solving complex data challenges, building robust platforms, and influencing technical direction, this role offers genuine ownership and impact. What You'll Be Doing Design and build a modern Azure-based data platform Develop scalable ETL/ELT pipelines using Databricks, Spark and Azure services Implement secure, governed data solutions following DataOps and DataSecOps principles Create high-quality data models to support reporting and self-service analytics Develop and optimise Power BI semantic models and reporting architecture Ensure data quality, security and performance across the platform Champion CI/CD, automation and engineering best practices Mentor junior engineers and contribute to technical leadership Collaborate with stakeholders to turn business requirements into scalable data solutions Essential Skills Strong SQL and Python (PySpark preferred) Proven experience building cloud-based data platforms on Azure Hands-on experience with Azure Databricks, Delta Lake and Azure Data Lake Expertise designing ETL/ELT pipelines Experience with Power BI administration and data modelling Knowledge of Git, CI/CD and modern engineering practices Strong understanding of data governance, security and access control Experience designing scalable analytics and reporting solutions Nice to Have Medallion Architecture or Lakehouse experience Azure Data Factory, dbt or Prefect DataSecOps and cloud security experience AI/ML data preparation knowledge Experience leading technical projects or mentoring engineers You'll Thrive Here If You Enjoy building solutions from the ground up Take ownership and drive technical decisions Balance engineering excellence with practical delivery Communicate confidently with both technical and non-technical stakeholders Enjoy mentoring others and sharing knowledge Have a continuous improvement mindset Why Join? Greenfield engineering opportunity Significant technical ownership and autonomy Opportunity to influence long-term data strategy Modern Azure technology stack Collaborative engineering culture Opportunity to mentor and shape engineering standards Work on projects that deliver genuine business impact Benefits: 31 days annual leave + Bank Holidays, and 2 Privilege days Flexible and hybrid working Generous employer contribution of 28.97% Time off for wellbeing activities Green car scheme Cycle2Work and season travel tickets Access to subsidised sports groups Think this one's for you If you think this Senior Data Engineer opportunity is for you then please apply online. Yolk Public Sector & Not-for-Profit team works with organisations across the UK to fulfil their recruitment needs and to achieve their D&I objectives. We recruit temporary, contract and permanent hires for 1 off specialist needs or for volume campaigns. We support our applicants to navigate the public sector recruitment processes and secure their dream jobs. Yolk Recruitment is an equal opportunities employer and embraces diversity in our workforce. We employ the best people for the job at hand and actively encourage applications from all qualified candidates, regardless of gender, age, race, religion, sexual orientation, disability, educational background, parental status, gender identity or any other protected characteristic. We champion and celebrate diversity at Yolk allowing our team to bring their whole selves to work.
24/06/2026
Full time
Senior Data Engineer Cardiff (hybrid) £47,675 Benefits: 28.9% Pension & 31 days annual leave + Bank Holidays, and 2 Privilege days We're looking for an experienced Senior Data Engineer to design and build a modern cloud data platform from the ground up. This is a greenfield opportunity where you'll shape the organisation's data architecture, establish engineering best practices, and create scalable solutions that power reporting, analytics, and future AI initiatives. If you enjoy solving complex data challenges, building robust platforms, and influencing technical direction, this role offers genuine ownership and impact. What You'll Be Doing Design and build a modern Azure-based data platform Develop scalable ETL/ELT pipelines using Databricks, Spark and Azure services Implement secure, governed data solutions following DataOps and DataSecOps principles Create high-quality data models to support reporting and self-service analytics Develop and optimise Power BI semantic models and reporting architecture Ensure data quality, security and performance across the platform Champion CI/CD, automation and engineering best practices Mentor junior engineers and contribute to technical leadership Collaborate with stakeholders to turn business requirements into scalable data solutions Essential Skills Strong SQL and Python (PySpark preferred) Proven experience building cloud-based data platforms on Azure Hands-on experience with Azure Databricks, Delta Lake and Azure Data Lake Expertise designing ETL/ELT pipelines Experience with Power BI administration and data modelling Knowledge of Git, CI/CD and modern engineering practices Strong understanding of data governance, security and access control Experience designing scalable analytics and reporting solutions Nice to Have Medallion Architecture or Lakehouse experience Azure Data Factory, dbt or Prefect DataSecOps and cloud security experience AI/ML data preparation knowledge Experience leading technical projects or mentoring engineers You'll Thrive Here If You Enjoy building solutions from the ground up Take ownership and drive technical decisions Balance engineering excellence with practical delivery Communicate confidently with both technical and non-technical stakeholders Enjoy mentoring others and sharing knowledge Have a continuous improvement mindset Why Join? Greenfield engineering opportunity Significant technical ownership and autonomy Opportunity to influence long-term data strategy Modern Azure technology stack Collaborative engineering culture Opportunity to mentor and shape engineering standards Work on projects that deliver genuine business impact Benefits: 31 days annual leave + Bank Holidays, and 2 Privilege days Flexible and hybrid working Generous employer contribution of 28.97% Time off for wellbeing activities Green car scheme Cycle2Work and season travel tickets Access to subsidised sports groups Think this one's for you If you think this Senior Data Engineer opportunity is for you then please apply online. Yolk Public Sector & Not-for-Profit team works with organisations across the UK to fulfil their recruitment needs and to achieve their D&I objectives. We recruit temporary, contract and permanent hires for 1 off specialist needs or for volume campaigns. We support our applicants to navigate the public sector recruitment processes and secure their dream jobs. Yolk Recruitment is an equal opportunities employer and embraces diversity in our workforce. We employ the best people for the job at hand and actively encourage applications from all qualified candidates, regardless of gender, age, race, religion, sexual orientation, disability, educational background, parental status, gender identity or any other protected characteristic. We champion and celebrate diversity at Yolk allowing our team to bring their whole selves to work.
Role: Data Engineer Location: Newcastle Upon Tyne Salary: TBC - Depending on experience Levels: Senior Analyst, Specialist Hybrid Working: 3 days per week in our Newcastle, Cobalt business park office Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) and declaration of being a British or EU passport holder or hold Indefinite Leave to remain within the UK at the point of application. Note: The above information relates to a specific client requirement About the Team Our Advanced Technology Centre is a hub of innovation where we deliver high quality data and technology services to clients across both the public and private sectors. If you're looking for a dynamic role that offers hands on experience with modern data technologies and the chance to shape large scale data solutions, this position offers you the opportunity to develop and progress rapidly. Role Overview As a Data Engineer, you will design, build, and maintain scalable data solutions that enable analytics, AI, and operational insights. You'll work alongside client and internal teams to create robust data pipelines, ensure data reliability, and support cloud based architectures that power intelligent decision making. Key Responsibilities Data Pipeline Development Build, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark. Develop and support real time streaming pipelines and event driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using AWS managed services (e.g., Kinesis, MSK, Lambda, Glue). Data Architecture & Standards Contribute to data modelling, data architecture best practices, and modern patterns (e.g., medallion architecture). Ensure data quality, lineage, governance, and security controls are applied consistently. DevOps & Deployment Deploy and maintain data applications using CI/CD tooling (Azure DevOps, GitHub Actions, Jenkins). Use Infrastructure as Code (Terraform, CloudFormation) to manage cloud environments. Work with container technologies such as Docker and Kubernetes based workloads. Collaboration Work closely with analytics, ML/AI, and product teams to deliver clean, well structured datasets. Participate in code reviews and internal knowledge sharing sessions. Provide guidance to junior engineers where needed. Qualification Core Data Engineering Strong programming proficiency in Java (preferred) or Python. Hands on experience with at least one of: Kafka, Flink, Spark (Flink/Kafka preferred for streaming). Solid understanding of stream processing concepts (e.g., event time, state, backpressure). Understanding of software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms, ideally AWS, but Azure/GCP also acceptable. Understanding of distributed compute, large scale data systems, and performance considerations. DevOps & Engineering Practices Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins etc.). Infrastructure as Code (Terraform preferred). Experience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other Requirements Minimum 3 years' experience working on data engineering or large scale data solutions. Comfortable working in Agile delivery teams. Strong communication skills and ability to collaborate with technical and non technical stakeholders. Desirable Experience in client facing or consulting environments. Professional cloud or data engineering certifications. Experience mentoring or supporting junior engineers. Background in designing or operating real time, low latency systems.
24/06/2026
Full time
Role: Data Engineer Location: Newcastle Upon Tyne Salary: TBC - Depending on experience Levels: Senior Analyst, Specialist Hybrid Working: 3 days per week in our Newcastle, Cobalt business park office Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) and declaration of being a British or EU passport holder or hold Indefinite Leave to remain within the UK at the point of application. Note: The above information relates to a specific client requirement About the Team Our Advanced Technology Centre is a hub of innovation where we deliver high quality data and technology services to clients across both the public and private sectors. If you're looking for a dynamic role that offers hands on experience with modern data technologies and the chance to shape large scale data solutions, this position offers you the opportunity to develop and progress rapidly. Role Overview As a Data Engineer, you will design, build, and maintain scalable data solutions that enable analytics, AI, and operational insights. You'll work alongside client and internal teams to create robust data pipelines, ensure data reliability, and support cloud based architectures that power intelligent decision making. Key Responsibilities Data Pipeline Development Build, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark. Develop and support real time streaming pipelines and event driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using AWS managed services (e.g., Kinesis, MSK, Lambda, Glue). Data Architecture & Standards Contribute to data modelling, data architecture best practices, and modern patterns (e.g., medallion architecture). Ensure data quality, lineage, governance, and security controls are applied consistently. DevOps & Deployment Deploy and maintain data applications using CI/CD tooling (Azure DevOps, GitHub Actions, Jenkins). Use Infrastructure as Code (Terraform, CloudFormation) to manage cloud environments. Work with container technologies such as Docker and Kubernetes based workloads. Collaboration Work closely with analytics, ML/AI, and product teams to deliver clean, well structured datasets. Participate in code reviews and internal knowledge sharing sessions. Provide guidance to junior engineers where needed. Qualification Core Data Engineering Strong programming proficiency in Java (preferred) or Python. Hands on experience with at least one of: Kafka, Flink, Spark (Flink/Kafka preferred for streaming). Solid understanding of stream processing concepts (e.g., event time, state, backpressure). Understanding of software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms, ideally AWS, but Azure/GCP also acceptable. Understanding of distributed compute, large scale data systems, and performance considerations. DevOps & Engineering Practices Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins etc.). Infrastructure as Code (Terraform preferred). Experience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other Requirements Minimum 3 years' experience working on data engineering or large scale data solutions. Comfortable working in Agile delivery teams. Strong communication skills and ability to collaborate with technical and non technical stakeholders. Desirable Experience in client facing or consulting environments. Professional cloud or data engineering certifications. Experience mentoring or supporting junior engineers. Background in designing or operating real time, low latency systems.
As a Senior Data Engineer, you'll play a key role in building and evolving a modern, large-scale data platform, designing reliable and scalable pipelines that support critical business outcomes. Working closely with data leaders and delivery teams, you'll help shape engineering standards, improve data quality, and enable trusted insights. You'll be encouraged to take ownership, apply creative thinking to complex challenges, and grow your impact within a collaborative, supportive environment. You will need to hold a UK Security Clearance or be eligible to go through this clearance. This is a hybrid position with on-site presence in Swansea two days per week. We offer a competitive salary, excellent pension, private healthcare, and a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner, not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. We provide training and support to help you develop your career. Your future duties and responsibilities In this role, you will design, build, and maintain scalable data pipelines using Databricks, ensuring solutions align with agreed data models and architectural principles. You'll collaborate closely with data professionals across engineering and analytics, contributing to reliable, well-governed data platforms that support a wide range of business needs. You'll take ownership of engineering outcomes, help improve data quality and observability, and contribute to a culture of continuous improvement, where ideas are shared and supported. Key responsibilities include: Build & Engineer: Develop and maintain Databricks pipelines, including Delta Live Tables, using PySpark and Python Ensure Quality: Maintain data quality, consistency, and lineage across all data sources and destinations Orchestrate & Monitor: Implement orchestration, scheduling, and monitoring to ensure reliable pipeline performance Collaborate & Align: Work with data teams to ensure alignment with target architecture and best practices Troubleshoot & Improve: Identify and resolve data issues across development and production environments Document & Share: Maintain clear technical documentation for pipelines, integrations, and processes Required qualifications to be successful in this role To succeed, you will bring strong hands on data engineering experience, a proactive mindset, and the ability to work collaboratively in complex environments. You should be comfortable taking ownership of solutions while supporting others to succeed. Essential qualifications: Strong experience with Databricks, including Delta Live Tables (DLTs) Proficiency in SQL, Python, and PySpark Experience working with SSIS packages Proven experience building and maintaining scalable data pipelines Solid understanding of data quality, consistency, and lineage Desirable experience: Experience with AWS or Azure cloud platforms Strong data modelling and data transformation expertise Knowledge of CI/CD, version control, and DevOps practices for data Experience with data quality, testing, and observability tooling Familiarity with JIRA and Confluence
24/06/2026
Full time
As a Senior Data Engineer, you'll play a key role in building and evolving a modern, large-scale data platform, designing reliable and scalable pipelines that support critical business outcomes. Working closely with data leaders and delivery teams, you'll help shape engineering standards, improve data quality, and enable trusted insights. You'll be encouraged to take ownership, apply creative thinking to complex challenges, and grow your impact within a collaborative, supportive environment. You will need to hold a UK Security Clearance or be eligible to go through this clearance. This is a hybrid position with on-site presence in Swansea two days per week. We offer a competitive salary, excellent pension, private healthcare, and a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner, not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. We provide training and support to help you develop your career. Your future duties and responsibilities In this role, you will design, build, and maintain scalable data pipelines using Databricks, ensuring solutions align with agreed data models and architectural principles. You'll collaborate closely with data professionals across engineering and analytics, contributing to reliable, well-governed data platforms that support a wide range of business needs. You'll take ownership of engineering outcomes, help improve data quality and observability, and contribute to a culture of continuous improvement, where ideas are shared and supported. Key responsibilities include: Build & Engineer: Develop and maintain Databricks pipelines, including Delta Live Tables, using PySpark and Python Ensure Quality: Maintain data quality, consistency, and lineage across all data sources and destinations Orchestrate & Monitor: Implement orchestration, scheduling, and monitoring to ensure reliable pipeline performance Collaborate & Align: Work with data teams to ensure alignment with target architecture and best practices Troubleshoot & Improve: Identify and resolve data issues across development and production environments Document & Share: Maintain clear technical documentation for pipelines, integrations, and processes Required qualifications to be successful in this role To succeed, you will bring strong hands on data engineering experience, a proactive mindset, and the ability to work collaboratively in complex environments. You should be comfortable taking ownership of solutions while supporting others to succeed. Essential qualifications: Strong experience with Databricks, including Delta Live Tables (DLTs) Proficiency in SQL, Python, and PySpark Experience working with SSIS packages Proven experience building and maintaining scalable data pipelines Solid understanding of data quality, consistency, and lineage Desirable experience: Experience with AWS or Azure cloud platforms Strong data modelling and data transformation expertise Knowledge of CI/CD, version control, and DevOps practices for data Experience with data quality, testing, and observability tooling Familiarity with JIRA and Confluence
Join DWP Digital and lead the future of data engineering in one of the UK's largest and most impactful digital environments As a Senior Data Engineer, you'll join our Data Platform and Operations team within Data & Analytics, where you'll play a pivotal role in shaping how we design, build and evolve data platforms that support DWP's ambition to become a truly data-driven organisation. We're recruiting for two roles, both focused on technical leadership, engineering excellence, and building capability. You'll lead engineers - sometimes through direct line management, sometimes through technical leadership across teams - setting direction, guiding delivery and mentoring others as we grow our senior engineering capability. This is a unique opportunity to help establish what excellence looks like for senior data engineering within our enablement space. With significant platform migration and transformation activity underway, your role will combine hands-on engineering, technical oversight and strategic influence. You'll help ensure our data pipelines and services are robust, scalable, and aligned to best practice - supporting services that make a real difference to millions of people across the UK. The scale of what we do is extraordinary, and our purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Experience leading the technical delivery of data or ETL projects, making sure the work is high quality, reliable, and fit for purpose. Solid, hands-on experience with Informatica Power Centre is essential, including how it's used to integrate, transform and manage data effectively. Strong experience building and delivering data pipelines using cloud platforms (AWS preferred) and big data tools like Kafka or Spark. Confident using Python (or PySpark) and SQL to process, transform and analyse data, and able to guide others in doing the same. Good understanding of modern data platforms (such as Azure/Fabric), including how data is ingested, cleaned, structured and made available to users. Experience leading or supporting large-scale platform migrations or transformations, ensuring best practice is followed and risks are managed. Ability to lead engineers - either through line management or technical leadership - coaching, mentoring and helping others develop their skills. Please note this role requires you to pass Security Check clearance. You and your role You'll be a key part of building and shaping the senior data engineering capability within our Data Platform and Operations function - particularly within our enablement space, where we are establishing stronger leadership, standards and engineering practices. You'll lead engineers both directly and indirectly, providing day-to-day guidance, mentoring and technical direction. In some teams, you'll have line management responsibility; in others, your influence will come through leading work, setting direction and driving conversations that shape engineering outcomes across multiple teams. A significant focus of your role will be supporting ongoing platform migrations and transformation activity. This might mean designing and building new pipelines and services, reviewing and assuring the work of other engineers, or setting the standards and patterns that ensure consistency and quality across delivery. You'll play a central role in building engineering capability - supporting less experienced engineers, embedding best practice and helping create a culture of continuous improvement. From code reviews and technical coaching to defining how we approach data engineering at scale, your contribution will be instrumental in raising the bar across the organisation. Details. Wages. Perks. Location: You'll join us in one of our brilliant digital hubs in Blackpool, Birmingham, Leeds, Manchester, Newcastle or Sheffield, whichever is most convenient for you. Hybrid Working: We work a hybrid model - you'll spend some time working at home and some time collaborating face to face in a hub. Pay: We offer pay up to £75,664. That's up to £68,205 salary plus a Digital Allowance of up to £7,459 subject to our assessment of your capability at interview. Pension: You'll get a brilliant civil service pension with employer contributions worth 28.97%, worth up to £16,786 per year. We have a broad benefits package built around your work-life balance which includes: Flexible working including flexible hours and flex-friendly policies Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Sports and social activities Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process We know your time is valuable so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. There'll be full instructions when you click through. Interview: a two stage interview online. Click APPLYfor more information and to start your application. JBRP1_UKTJ
24/06/2026
Full time
Join DWP Digital and lead the future of data engineering in one of the UK's largest and most impactful digital environments As a Senior Data Engineer, you'll join our Data Platform and Operations team within Data & Analytics, where you'll play a pivotal role in shaping how we design, build and evolve data platforms that support DWP's ambition to become a truly data-driven organisation. We're recruiting for two roles, both focused on technical leadership, engineering excellence, and building capability. You'll lead engineers - sometimes through direct line management, sometimes through technical leadership across teams - setting direction, guiding delivery and mentoring others as we grow our senior engineering capability. This is a unique opportunity to help establish what excellence looks like for senior data engineering within our enablement space. With significant platform migration and transformation activity underway, your role will combine hands-on engineering, technical oversight and strategic influence. You'll help ensure our data pipelines and services are robust, scalable, and aligned to best practice - supporting services that make a real difference to millions of people across the UK. The scale of what we do is extraordinary, and our purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Experience leading the technical delivery of data or ETL projects, making sure the work is high quality, reliable, and fit for purpose. Solid, hands-on experience with Informatica Power Centre is essential, including how it's used to integrate, transform and manage data effectively. Strong experience building and delivering data pipelines using cloud platforms (AWS preferred) and big data tools like Kafka or Spark. Confident using Python (or PySpark) and SQL to process, transform and analyse data, and able to guide others in doing the same. Good understanding of modern data platforms (such as Azure/Fabric), including how data is ingested, cleaned, structured and made available to users. Experience leading or supporting large-scale platform migrations or transformations, ensuring best practice is followed and risks are managed. Ability to lead engineers - either through line management or technical leadership - coaching, mentoring and helping others develop their skills. Please note this role requires you to pass Security Check clearance. You and your role You'll be a key part of building and shaping the senior data engineering capability within our Data Platform and Operations function - particularly within our enablement space, where we are establishing stronger leadership, standards and engineering practices. You'll lead engineers both directly and indirectly, providing day-to-day guidance, mentoring and technical direction. In some teams, you'll have line management responsibility; in others, your influence will come through leading work, setting direction and driving conversations that shape engineering outcomes across multiple teams. A significant focus of your role will be supporting ongoing platform migrations and transformation activity. This might mean designing and building new pipelines and services, reviewing and assuring the work of other engineers, or setting the standards and patterns that ensure consistency and quality across delivery. You'll play a central role in building engineering capability - supporting less experienced engineers, embedding best practice and helping create a culture of continuous improvement. From code reviews and technical coaching to defining how we approach data engineering at scale, your contribution will be instrumental in raising the bar across the organisation. Details. Wages. Perks. Location: You'll join us in one of our brilliant digital hubs in Blackpool, Birmingham, Leeds, Manchester, Newcastle or Sheffield, whichever is most convenient for you. Hybrid Working: We work a hybrid model - you'll spend some time working at home and some time collaborating face to face in a hub. Pay: We offer pay up to £75,664. That's up to £68,205 salary plus a Digital Allowance of up to £7,459 subject to our assessment of your capability at interview. Pension: You'll get a brilliant civil service pension with employer contributions worth 28.97%, worth up to £16,786 per year. We have a broad benefits package built around your work-life balance which includes: Flexible working including flexible hours and flex-friendly policies Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Sports and social activities Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process We know your time is valuable so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. There'll be full instructions when you click through. Interview: a two stage interview online. Click APPLYfor more information and to start your application. JBRP1_UKTJ
Join DWP Digital and lead the future of data engineering in one of the UK's largest and most impactful digital environments As a Senior Data Engineer, you'll join our Data Platform and Operations team within Data & Analytics, where you'll play a pivotal role in shaping how we design, build and evolve data platforms that support DWP's ambition to become a truly data-driven organisation. We're recruiting for two roles, both focused on technical leadership, engineering excellence, and building capability. You'll lead engineers - sometimes through direct line management, sometimes through technical leadership across teams - setting direction, guiding delivery and mentoring others as we grow our senior engineering capability. This is a unique opportunity to help establish what excellence looks like for senior data engineering within our enablement space. With significant platform migration and transformation activity underway, your role will combine hands-on engineering, technical oversight and strategic influence. You'll help ensure our data pipelines and services are robust, scalable, and aligned to best practice - supporting services that make a real difference to millions of people across the UK. The scale of what we do is extraordinary, and our purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Experience leading the technical delivery of data or ETL projects, making sure the work is high quality, reliable, and fit for purpose. Solid, hands-on experience with Informatica Power Centre is essential, including how it's used to integrate, transform and manage data effectively. Strong experience building and delivering data pipelines using cloud platforms (AWS preferred) and big data tools like Kafka or Spark. Confident using Python (or PySpark) and SQL to process, transform and analyse data, and able to guide others in doing the same. Good understanding of modern data platforms (such as Azure/Fabric), including how data is ingested, cleaned, structured and made available to users. Experience leading or supporting large-scale platform migrations or transformations, ensuring best practice is followed and risks are managed. Ability to lead engineers - either through line management or technical leadership - coaching, mentoring and helping others develop their skills. Please note this role requires you to pass Security Check clearance. You and your role You'll be a key part of building and shaping the senior data engineering capability within our Data Platform and Operations function - particularly within our enablement space, where we are establishing stronger leadership, standards and engineering practices. You'll lead engineers both directly and indirectly, providing day-to-day guidance, mentoring and technical direction. In some teams, you'll have line management responsibility; in others, your influence will come through leading work, setting direction and driving conversations that shape engineering outcomes across multiple teams. A significant focus of your role will be supporting ongoing platform migrations and transformation activity. This might mean designing and building new pipelines and services, reviewing and assuring the work of other engineers, or setting the standards and patterns that ensure consistency and quality across delivery. You'll play a central role in building engineering capability - supporting less experienced engineers, embedding best practice and helping create a culture of continuous improvement. From code reviews and technical coaching to defining how we approach data engineering at scale, your contribution will be instrumental in raising the bar across the organisation. Details. Wages. Perks. Location: You'll join us in one of our brilliant digital hubs in Blackpool, Birmingham, Leeds, Manchester, Newcastle or Sheffield, whichever is most convenient for you. Hybrid Working: We work a hybrid model - you'll spend some time working at home and some time collaborating face to face in a hub. Pay: We offer pay up to £75,664. That's up to £68,205 salary plus a Digital Allowance of up to £7,459 subject to our assessment of your capability at interview. Pension: You'll get a brilliant civil service pension with employer contributions worth 28.97%, worth up to £16,786 per year. We have a broad benefits package built around your work-life balance which includes: Flexible working including flexible hours and flex-friendly policies Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Sports and social activities Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process We know your time is valuable so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. There'll be full instructions when you click through. Interview: a two stage interview online. Click APPLYfor more information and to start your application. JBRP1_UKTJ
24/06/2026
Full time
Join DWP Digital and lead the future of data engineering in one of the UK's largest and most impactful digital environments As a Senior Data Engineer, you'll join our Data Platform and Operations team within Data & Analytics, where you'll play a pivotal role in shaping how we design, build and evolve data platforms that support DWP's ambition to become a truly data-driven organisation. We're recruiting for two roles, both focused on technical leadership, engineering excellence, and building capability. You'll lead engineers - sometimes through direct line management, sometimes through technical leadership across teams - setting direction, guiding delivery and mentoring others as we grow our senior engineering capability. This is a unique opportunity to help establish what excellence looks like for senior data engineering within our enablement space. With significant platform migration and transformation activity underway, your role will combine hands-on engineering, technical oversight and strategic influence. You'll help ensure our data pipelines and services are robust, scalable, and aligned to best practice - supporting services that make a real difference to millions of people across the UK. The scale of what we do is extraordinary, and our purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Experience leading the technical delivery of data or ETL projects, making sure the work is high quality, reliable, and fit for purpose. Solid, hands-on experience with Informatica Power Centre is essential, including how it's used to integrate, transform and manage data effectively. Strong experience building and delivering data pipelines using cloud platforms (AWS preferred) and big data tools like Kafka or Spark. Confident using Python (or PySpark) and SQL to process, transform and analyse data, and able to guide others in doing the same. Good understanding of modern data platforms (such as Azure/Fabric), including how data is ingested, cleaned, structured and made available to users. Experience leading or supporting large-scale platform migrations or transformations, ensuring best practice is followed and risks are managed. Ability to lead engineers - either through line management or technical leadership - coaching, mentoring and helping others develop their skills. Please note this role requires you to pass Security Check clearance. You and your role You'll be a key part of building and shaping the senior data engineering capability within our Data Platform and Operations function - particularly within our enablement space, where we are establishing stronger leadership, standards and engineering practices. You'll lead engineers both directly and indirectly, providing day-to-day guidance, mentoring and technical direction. In some teams, you'll have line management responsibility; in others, your influence will come through leading work, setting direction and driving conversations that shape engineering outcomes across multiple teams. A significant focus of your role will be supporting ongoing platform migrations and transformation activity. This might mean designing and building new pipelines and services, reviewing and assuring the work of other engineers, or setting the standards and patterns that ensure consistency and quality across delivery. You'll play a central role in building engineering capability - supporting less experienced engineers, embedding best practice and helping create a culture of continuous improvement. From code reviews and technical coaching to defining how we approach data engineering at scale, your contribution will be instrumental in raising the bar across the organisation. Details. Wages. Perks. Location: You'll join us in one of our brilliant digital hubs in Blackpool, Birmingham, Leeds, Manchester, Newcastle or Sheffield, whichever is most convenient for you. Hybrid Working: We work a hybrid model - you'll spend some time working at home and some time collaborating face to face in a hub. Pay: We offer pay up to £75,664. That's up to £68,205 salary plus a Digital Allowance of up to £7,459 subject to our assessment of your capability at interview. Pension: You'll get a brilliant civil service pension with employer contributions worth 28.97%, worth up to £16,786 per year. We have a broad benefits package built around your work-life balance which includes: Flexible working including flexible hours and flex-friendly policies Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Sports and social activities Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process We know your time is valuable so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. There'll be full instructions when you click through. Interview: a two stage interview online. Click APPLYfor more information and to start your application. JBRP1_UKTJ
Join DWP Digital and lead the future of data engineering in one of the UK's largest and most impactful digital environments As a Senior Data Engineer, you'll join our Data Platform and Operations team within Data & Analytics, where you'll play a pivotal role in shaping how we design, build and evolve data platforms that support DWP's ambition to become a truly data-driven organisation. We're recruiting for two roles, both focused on technical leadership, engineering excellence, and building capability. You'll lead engineers - sometimes through direct line management, sometimes through technical leadership across teams - setting direction, guiding delivery and mentoring others as we grow our senior engineering capability. This is a unique opportunity to help establish what excellence looks like for senior data engineering within our enablement space. With significant platform migration and transformation activity underway, your role will combine hands-on engineering, technical oversight and strategic influence. You'll help ensure our data pipelines and services are robust, scalable, and aligned to best practice - supporting services that make a real difference to millions of people across the UK. The scale of what we do is extraordinary, and our purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Experience leading the technical delivery of data or ETL projects, making sure the work is high quality, reliable, and fit for purpose. Solid, hands-on experience with Informatica Power Centre is essential, including how it's used to integrate, transform and manage data effectively. Strong experience building and delivering data pipelines using cloud platforms (AWS preferred) and big data tools like Kafka or Spark. Confident using Python (or PySpark) and SQL to process, transform and analyse data, and able to guide others in doing the same. Good understanding of modern data platforms (such as Azure/Fabric), including how data is ingested, cleaned, structured and made available to users. Experience leading or supporting large-scale platform migrations or transformations, ensuring best practice is followed and risks are managed. Ability to lead engineers - either through line management or technical leadership - coaching, mentoring and helping others develop their skills. Please note this role requires you to pass Security Check clearance. You and your role You'll be a key part of building and shaping the senior data engineering capability within our Data Platform and Operations function - particularly within our enablement space, where we are establishing stronger leadership, standards and engineering practices. You'll lead engineers both directly and indirectly, providing day-to-day guidance, mentoring and technical direction. In some teams, you'll have line management responsibility; in others, your influence will come through leading work, setting direction and driving conversations that shape engineering outcomes across multiple teams. A significant focus of your role will be supporting ongoing platform migrations and transformation activity. This might mean designing and building new pipelines and services, reviewing and assuring the work of other engineers, or setting the standards and patterns that ensure consistency and quality across delivery. You'll play a central role in building engineering capability - supporting less experienced engineers, embedding best practice and helping create a culture of continuous improvement. From code reviews and technical coaching to defining how we approach data engineering at scale, your contribution will be instrumental in raising the bar across the organisation. Details. Wages. Perks. Location: You'll join us in one of our brilliant digital hubs in Blackpool, Birmingham, Leeds, Manchester, Newcastle or Sheffield, whichever is most convenient for you. Hybrid Working: We work a hybrid model - you'll spend some time working at home and some time collaborating face to face in a hub. Pay: We offer pay up to £75,664. That's up to £68,205 salary plus a Digital Allowance of up to £7,459 subject to our assessment of your capability at interview. Pension: You'll get a brilliant civil service pension with employer contributions worth 28.97%, worth up to £16,786 per year. We have a broad benefits package built around your work-life balance which includes: Flexible working including flexible hours and flex-friendly policies Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Sports and social activities Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process We know your time is valuable so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. There'll be full instructions when you click through. Interview: a two stage interview online. Click APPLYfor more information and to start your application. JBRP1_UKTJ
24/06/2026
Full time
Join DWP Digital and lead the future of data engineering in one of the UK's largest and most impactful digital environments As a Senior Data Engineer, you'll join our Data Platform and Operations team within Data & Analytics, where you'll play a pivotal role in shaping how we design, build and evolve data platforms that support DWP's ambition to become a truly data-driven organisation. We're recruiting for two roles, both focused on technical leadership, engineering excellence, and building capability. You'll lead engineers - sometimes through direct line management, sometimes through technical leadership across teams - setting direction, guiding delivery and mentoring others as we grow our senior engineering capability. This is a unique opportunity to help establish what excellence looks like for senior data engineering within our enablement space. With significant platform migration and transformation activity underway, your role will combine hands-on engineering, technical oversight and strategic influence. You'll help ensure our data pipelines and services are robust, scalable, and aligned to best practice - supporting services that make a real difference to millions of people across the UK. The scale of what we do is extraordinary, and our purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Experience leading the technical delivery of data or ETL projects, making sure the work is high quality, reliable, and fit for purpose. Solid, hands-on experience with Informatica Power Centre is essential, including how it's used to integrate, transform and manage data effectively. Strong experience building and delivering data pipelines using cloud platforms (AWS preferred) and big data tools like Kafka or Spark. Confident using Python (or PySpark) and SQL to process, transform and analyse data, and able to guide others in doing the same. Good understanding of modern data platforms (such as Azure/Fabric), including how data is ingested, cleaned, structured and made available to users. Experience leading or supporting large-scale platform migrations or transformations, ensuring best practice is followed and risks are managed. Ability to lead engineers - either through line management or technical leadership - coaching, mentoring and helping others develop their skills. Please note this role requires you to pass Security Check clearance. You and your role You'll be a key part of building and shaping the senior data engineering capability within our Data Platform and Operations function - particularly within our enablement space, where we are establishing stronger leadership, standards and engineering practices. You'll lead engineers both directly and indirectly, providing day-to-day guidance, mentoring and technical direction. In some teams, you'll have line management responsibility; in others, your influence will come through leading work, setting direction and driving conversations that shape engineering outcomes across multiple teams. A significant focus of your role will be supporting ongoing platform migrations and transformation activity. This might mean designing and building new pipelines and services, reviewing and assuring the work of other engineers, or setting the standards and patterns that ensure consistency and quality across delivery. You'll play a central role in building engineering capability - supporting less experienced engineers, embedding best practice and helping create a culture of continuous improvement. From code reviews and technical coaching to defining how we approach data engineering at scale, your contribution will be instrumental in raising the bar across the organisation. Details. Wages. Perks. Location: You'll join us in one of our brilliant digital hubs in Blackpool, Birmingham, Leeds, Manchester, Newcastle or Sheffield, whichever is most convenient for you. Hybrid Working: We work a hybrid model - you'll spend some time working at home and some time collaborating face to face in a hub. Pay: We offer pay up to £75,664. That's up to £68,205 salary plus a Digital Allowance of up to £7,459 subject to our assessment of your capability at interview. Pension: You'll get a brilliant civil service pension with employer contributions worth 28.97%, worth up to £16,786 per year. We have a broad benefits package built around your work-life balance which includes: Flexible working including flexible hours and flex-friendly policies Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Sports and social activities Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process We know your time is valuable so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. There'll be full instructions when you click through. Interview: a two stage interview online. Click APPLYfor more information and to start your application. JBRP1_UKTJ
We don't just believe in better. We make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, Sky Stream to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Role overview Our products, platforms and technologies are constantly evolving that's why keeping Sky safe from cyber-attacks is one of our top priorities. Our Cyber Security team helps the business grow while protecting our customers, colleagues and partners from increasingly sophisticated cyber threats. Our team includes Cyber Fusion Centre, Security Services, Risk and Compliance, Programme Delivery and Business Security, and we work across the UK, Italy and Germany. Join us and you'll get involved in tackling challenges and future threats in an ever-changing cyber landscape. You will join our comprehensive Cyber Defence Department as a senior member of the dedicated Threat Hunt team. You will operate within a robust security ecosystem, partnering directly with Cyber Operations, Threat Intelligence, Engineering, and Threat Vulnerability Management. What you'll do : Conduct proactive threat hunts across the enterprise, broadcast, and telco networks to identify abnormal activity, emerging attack techniques, and advanced threats. Develop and execute hypothesis-driven threat hunts utilising datasets across a variety of security tooling, including EDR, SIEM, and network-layer defences. Collaborate directly with the Cyber Threat Intelligence team to operationalise intelligence, maintaining and refining hunting playbooks for priority threat actors and relevant TTPs. Partner with security engineering teams to translate hunt findings into productionised, high-fidelity detections and drive continuous improvement in data source coverage and quality. Act as a technical mentor within the Cyber Defence function, guiding junior analysts, conducting peer reviews, and fostering a culture of continuous learning. Document and communicate hunt outcomes comprehensively, translating complex technical findings into actionable remediation strategies and executive-level summaries. What you'll bring : Essential Criteria Extensive prior experience in threat hunting at a large enterprise environment. Experience with incident response, SOC, or detection engineering. Deep understanding of the MITRE ATT&CK framework and how to practically apply it to threat hunting methodologies and detection logic. Proficiency in complex query writing (e.g., KQL, SPL, SQL) to filter, analyse, and visualise large, disparate datasets. Hands-on experience with EDR, NDR, SIEM, SOAR security platforms and data analysis platforms such as Databricks. Strong investigative acumen combined with a curious, highly analytical mindset capable of navigating ambiguity. Proven ability to work cross-functionally, bridging the gap between security and broader technology teams to demonstrably improve the overall security posture. Desirable skills and experience: Scripting and automation capabilities, particularly utilising Python, PySpark, and SQL to streamline analytical workflows. Experience navigating cloud-native security environments (AWS, Azure, or GCP) alongside familiarity with the Microsoft 365 ecosystem. Advanced knowledge of offensive security methodologies, including common exploit chains, reverse engineering basics, or penetration testing techniques. Relevant industry certifications demonstrating specialised knowledge in threat hunting, incident response, or forensics (e.g., SANS GCIA, GCIH, GCFA, OSCP). Benefits and perks There's one thing people can't stop talking about when it comes to life at Sky: the perks . Here's a taster: Free Sky TV or NOW package, including Sky Sports and Sky Cinema Pension package with up to 9% employer contribution Private healthcare with mental health support Aviva Digital GP and dental insurance Discounts on Sky products, including Sky Mobile, Sky Broadband, Sky Glass and Sky Protect Sharesave and Tech schemes A range of Sky VIP rewards and experiences How you'll work Osterley The hybrid working expectations for this role are 2 days in the office per week. Our Sky Group HQ. Equipped with state-of-the-art technology and workspaces, there's plenty of space to see your big ideas come to life. Here you'll find 13 subsidised restaurants and cafes. You can re-energise at our gym, catch the latest films at our cinema, get your car washed and even get pampered at our beauty salon . Our Osterley Campus is just a 10-minute walk from Syon Lane train station, or you can get one of our free shuttle buses from Osterley, Gunnersbury and Ealing Broadway stations. Plus, there's free onsite parking available for cars, motorbikes and bicycles. Who we are We're Sky, a leading media and entertainment company who connect millions with entertainment, sports, news and arts through innovative products and services. Working with us means you'll be bringing the joy of a better experience to more people, every day. All so we can do better and deliver better for our customers, colleagues and society. We're an equal opportunity employer and value diversity at our company. We're a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need as early as you can. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. To be eligible for this role you are required to have the appropriate right to work in the UK. Please be aware Sky does not offer sponsorship for this position. To find out more about working with us, search on social media.
23/06/2026
Full time
We don't just believe in better. We make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, Sky Stream to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Role overview Our products, platforms and technologies are constantly evolving that's why keeping Sky safe from cyber-attacks is one of our top priorities. Our Cyber Security team helps the business grow while protecting our customers, colleagues and partners from increasingly sophisticated cyber threats. Our team includes Cyber Fusion Centre, Security Services, Risk and Compliance, Programme Delivery and Business Security, and we work across the UK, Italy and Germany. Join us and you'll get involved in tackling challenges and future threats in an ever-changing cyber landscape. You will join our comprehensive Cyber Defence Department as a senior member of the dedicated Threat Hunt team. You will operate within a robust security ecosystem, partnering directly with Cyber Operations, Threat Intelligence, Engineering, and Threat Vulnerability Management. What you'll do : Conduct proactive threat hunts across the enterprise, broadcast, and telco networks to identify abnormal activity, emerging attack techniques, and advanced threats. Develop and execute hypothesis-driven threat hunts utilising datasets across a variety of security tooling, including EDR, SIEM, and network-layer defences. Collaborate directly with the Cyber Threat Intelligence team to operationalise intelligence, maintaining and refining hunting playbooks for priority threat actors and relevant TTPs. Partner with security engineering teams to translate hunt findings into productionised, high-fidelity detections and drive continuous improvement in data source coverage and quality. Act as a technical mentor within the Cyber Defence function, guiding junior analysts, conducting peer reviews, and fostering a culture of continuous learning. Document and communicate hunt outcomes comprehensively, translating complex technical findings into actionable remediation strategies and executive-level summaries. What you'll bring : Essential Criteria Extensive prior experience in threat hunting at a large enterprise environment. Experience with incident response, SOC, or detection engineering. Deep understanding of the MITRE ATT&CK framework and how to practically apply it to threat hunting methodologies and detection logic. Proficiency in complex query writing (e.g., KQL, SPL, SQL) to filter, analyse, and visualise large, disparate datasets. Hands-on experience with EDR, NDR, SIEM, SOAR security platforms and data analysis platforms such as Databricks. Strong investigative acumen combined with a curious, highly analytical mindset capable of navigating ambiguity. Proven ability to work cross-functionally, bridging the gap between security and broader technology teams to demonstrably improve the overall security posture. Desirable skills and experience: Scripting and automation capabilities, particularly utilising Python, PySpark, and SQL to streamline analytical workflows. Experience navigating cloud-native security environments (AWS, Azure, or GCP) alongside familiarity with the Microsoft 365 ecosystem. Advanced knowledge of offensive security methodologies, including common exploit chains, reverse engineering basics, or penetration testing techniques. Relevant industry certifications demonstrating specialised knowledge in threat hunting, incident response, or forensics (e.g., SANS GCIA, GCIH, GCFA, OSCP). Benefits and perks There's one thing people can't stop talking about when it comes to life at Sky: the perks . Here's a taster: Free Sky TV or NOW package, including Sky Sports and Sky Cinema Pension package with up to 9% employer contribution Private healthcare with mental health support Aviva Digital GP and dental insurance Discounts on Sky products, including Sky Mobile, Sky Broadband, Sky Glass and Sky Protect Sharesave and Tech schemes A range of Sky VIP rewards and experiences How you'll work Osterley The hybrid working expectations for this role are 2 days in the office per week. Our Sky Group HQ. Equipped with state-of-the-art technology and workspaces, there's plenty of space to see your big ideas come to life. Here you'll find 13 subsidised restaurants and cafes. You can re-energise at our gym, catch the latest films at our cinema, get your car washed and even get pampered at our beauty salon . Our Osterley Campus is just a 10-minute walk from Syon Lane train station, or you can get one of our free shuttle buses from Osterley, Gunnersbury and Ealing Broadway stations. Plus, there's free onsite parking available for cars, motorbikes and bicycles. Who we are We're Sky, a leading media and entertainment company who connect millions with entertainment, sports, news and arts through innovative products and services. Working with us means you'll be bringing the joy of a better experience to more people, every day. All so we can do better and deliver better for our customers, colleagues and society. We're an equal opportunity employer and value diversity at our company. We're a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need as early as you can. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. To be eligible for this role you are required to have the appropriate right to work in the UK. Please be aware Sky does not offer sponsorship for this position. To find out more about working with us, search on social media.
Salary: £70,000 - 70,000 per year Requirements We require significant senior backend development experience with strong Python proficiency, including async programming, concurrency, and multithreading. We require expertise in RESTful API design, OpenAPI/Swagger documentation, and API lifecycle best practices. We require hands on experience with ML libraries including PyTorch, PySpark, scikit learn, and Hugging Face Transformers. We require proficiency with AI tooling such as Azure ML, Databricks, MLflow, LangChain, and LangGraph. We require proven experience with Git, unit testing, containerisation, and agile methodologies, including Jira and Confluence. We require good knowledge of generative AI, machine learning, deep learning, or NLP. We require strong communication skills and the ability to explain technical concepts to varied audiences. We require a bachelors degree in Computer Science, AI, Data Science, Statistics, Engineering, or a related technical field; a masters degree or PhD is preferred. We consider advanced certifications in AI, machine learning, cloud computing, or data engineering highly advantageous. We consider a professional accounting qualification desirable but not required. We welcome experience with Microsoft Graph API. We welcome background in audit, financial services, or regulated industry technology. Responsibilities We lead hands on technical delivery of AI projects and contribute actively to codebases and architectural decisions. We develop and deploy production grade AI systems using Azure, Databricks, and generative AI tooling. We own the implementation of ML pipelines, APIs, and data integration workflows. We enforce MLOps best practices, coding standards, version control, and performance optimisation. We collaborate cross functionally with data scientists, product managers, platform engineers, QA, and audit professionals. We mentor junior engineers and contribute to internal capability building and knowledge sharing initiatives. Technologies AI API Azure Backend Cloud Confluence Databricks Git JIRA Machine Learning Network OpenAPI PyTorch Python PySpark Swagger More We are a Big 4 professional services firm with an Audit Technology team that is at the forefront of innovation, combining artificial intelligence, data engineering, analytics, and software development to transform how audit is delivered. Backed by a global network and significant investment in technology capability, our team has experienced rapid growth and is building exciting products at scale. This is a permanent, full time hybrid role based in London, Manchester, Leeds, or Glasgow, with flexible working available across multiple UK locations. We offer a competitive salary and benefits package, and the chance to join a rapidly growing technology capability within one of the worlds leading professional services firms. last updated 25 week of 2026
23/06/2026
Full time
Salary: £70,000 - 70,000 per year Requirements We require significant senior backend development experience with strong Python proficiency, including async programming, concurrency, and multithreading. We require expertise in RESTful API design, OpenAPI/Swagger documentation, and API lifecycle best practices. We require hands on experience with ML libraries including PyTorch, PySpark, scikit learn, and Hugging Face Transformers. We require proficiency with AI tooling such as Azure ML, Databricks, MLflow, LangChain, and LangGraph. We require proven experience with Git, unit testing, containerisation, and agile methodologies, including Jira and Confluence. We require good knowledge of generative AI, machine learning, deep learning, or NLP. We require strong communication skills and the ability to explain technical concepts to varied audiences. We require a bachelors degree in Computer Science, AI, Data Science, Statistics, Engineering, or a related technical field; a masters degree or PhD is preferred. We consider advanced certifications in AI, machine learning, cloud computing, or data engineering highly advantageous. We consider a professional accounting qualification desirable but not required. We welcome experience with Microsoft Graph API. We welcome background in audit, financial services, or regulated industry technology. Responsibilities We lead hands on technical delivery of AI projects and contribute actively to codebases and architectural decisions. We develop and deploy production grade AI systems using Azure, Databricks, and generative AI tooling. We own the implementation of ML pipelines, APIs, and data integration workflows. We enforce MLOps best practices, coding standards, version control, and performance optimisation. We collaborate cross functionally with data scientists, product managers, platform engineers, QA, and audit professionals. We mentor junior engineers and contribute to internal capability building and knowledge sharing initiatives. Technologies AI API Azure Backend Cloud Confluence Databricks Git JIRA Machine Learning Network OpenAPI PyTorch Python PySpark Swagger More We are a Big 4 professional services firm with an Audit Technology team that is at the forefront of innovation, combining artificial intelligence, data engineering, analytics, and software development to transform how audit is delivered. Backed by a global network and significant investment in technology capability, our team has experienced rapid growth and is building exciting products at scale. This is a permanent, full time hybrid role based in London, Manchester, Leeds, or Glasgow, with flexible working available across multiple UK locations. We offer a competitive salary and benefits package, and the chance to join a rapidly growing technology capability within one of the worlds leading professional services firms. last updated 25 week of 2026
What you'll bring to the team Senior Data Engineer Location: London/Hybrid Hours: 40 hours per week Contract: Permanent - Salaried The Senior Data Engineer will sit at the core of this journey, acting as the driving force behind the data function. This is a hands on role focused on modernising and reshaping our existing estate. One day you may be working through legacy code, the next developing contemporary Python/Spark solutions. A collaborative mindset is essential, as you'll partner closely not only with data colleagues but also with the broader Engineering community to define and uphold global standards. You will also serve as the primary point of contact for Supplier engineers. Responsibilities Pipeline Engineering Refactor fragile batch jobs into robust, observable pipelines using Databricks, Azure, and GCP. Build the specific "Data Products" defined by the Modeller and Architecture functions. Wider Engineering Collaboration Act as the internal authority for flex engineers supplied by our Delivery Partners Actively participate in the wider Engineering community forums. Contribute to and adopt the cross discipline engineering framework, ensuring our data pipelines adhere to global standards for security, performance, and code quality. Operational Support Resolve critical data incidents quickly to ensure business continuity. When fixing a bug, implement a permanent fix or rigorously document why a temporary patch was applied. Optimise query performance and pipeline efficiency to keep cloud compute costs down. Collaboration & Mentorship Work closely with the Business Analysts embedded in the business to ensure the data you land is actually useful to them. Pair program with and mentor team members on engineering best practices (Note: This role has no line management responsibilities). Qualifications & Experience Bachelor's degree, or relevant qualifications, in Data Science, Computer Science or a related field. Significant experience (typically 5 years) in a (data) engineering role. Tech Stack: Strong SQL and Python skills are essential. Platform Experience: Hands on experience with Databricks, Azure, and GCP/BigQuery. Legacy to Modern: Experience working in a mixed environment, supporting legacy systems while building modern cloud infrastructure. Skills and Competencies DevOps Mindset: You write tests for your code. You hate manual processes and automate everything you can. Pragmatic Problem Solving: You focus on delivering working solutions rather than overengineering. Communication: Communicates openly with stakeholders and doesn't hide behind a ticket system. Benefits 'Enjoy the Ride' Merlin Annual Passes - 6 in total per year, 1 for you, plus 5 to gift to loved ones! Merlin Magic Pass - 20 free tickets for you, your family and friends to enjoy all our Merlin Attractions across the world rising to 40 after a year's service 33 days holiday (including bank holidays) Company bonus Private pension scheme 40% discount online off LEGO 25% discount in our on site retail shops and restaurants Ongoing training and development opportunities Plus, many more If you have any questions or if you require any assistance, because of a disability or medical condition, please contact us by email at and one of the team will get back to you as soon as possible. Pay Range Competitive
23/06/2026
Full time
What you'll bring to the team Senior Data Engineer Location: London/Hybrid Hours: 40 hours per week Contract: Permanent - Salaried The Senior Data Engineer will sit at the core of this journey, acting as the driving force behind the data function. This is a hands on role focused on modernising and reshaping our existing estate. One day you may be working through legacy code, the next developing contemporary Python/Spark solutions. A collaborative mindset is essential, as you'll partner closely not only with data colleagues but also with the broader Engineering community to define and uphold global standards. You will also serve as the primary point of contact for Supplier engineers. Responsibilities Pipeline Engineering Refactor fragile batch jobs into robust, observable pipelines using Databricks, Azure, and GCP. Build the specific "Data Products" defined by the Modeller and Architecture functions. Wider Engineering Collaboration Act as the internal authority for flex engineers supplied by our Delivery Partners Actively participate in the wider Engineering community forums. Contribute to and adopt the cross discipline engineering framework, ensuring our data pipelines adhere to global standards for security, performance, and code quality. Operational Support Resolve critical data incidents quickly to ensure business continuity. When fixing a bug, implement a permanent fix or rigorously document why a temporary patch was applied. Optimise query performance and pipeline efficiency to keep cloud compute costs down. Collaboration & Mentorship Work closely with the Business Analysts embedded in the business to ensure the data you land is actually useful to them. Pair program with and mentor team members on engineering best practices (Note: This role has no line management responsibilities). Qualifications & Experience Bachelor's degree, or relevant qualifications, in Data Science, Computer Science or a related field. Significant experience (typically 5 years) in a (data) engineering role. Tech Stack: Strong SQL and Python skills are essential. Platform Experience: Hands on experience with Databricks, Azure, and GCP/BigQuery. Legacy to Modern: Experience working in a mixed environment, supporting legacy systems while building modern cloud infrastructure. Skills and Competencies DevOps Mindset: You write tests for your code. You hate manual processes and automate everything you can. Pragmatic Problem Solving: You focus on delivering working solutions rather than overengineering. Communication: Communicates openly with stakeholders and doesn't hide behind a ticket system. Benefits 'Enjoy the Ride' Merlin Annual Passes - 6 in total per year, 1 for you, plus 5 to gift to loved ones! Merlin Magic Pass - 20 free tickets for you, your family and friends to enjoy all our Merlin Attractions across the world rising to 40 after a year's service 33 days holiday (including bank holidays) Company bonus Private pension scheme 40% discount online off LEGO 25% discount in our on site retail shops and restaurants Ongoing training and development opportunities Plus, many more If you have any questions or if you require any assistance, because of a disability or medical condition, please contact us by email at and one of the team will get back to you as soon as possible. Pay Range Competitive
Job Title: Data Architect - Azure Databricks / Azure Data Factory For London Market InsuranceExp Required - 10 years PlusLocation: LondonAbout the Job you are considering:We are looking for an experienced Data Architect with strong expertise in Azure Databricks, Azure Data Factory, Azure Data Lake, Delta Lake, data modelling, data governance, and cloud data architecture, along with domain experience in London Market Insurance.The candidate will be responsible for defining and delivering scalable data architecture solutions for insurance transformation programmes covering underwriting, claims, policy administration, bordereaux, delegated authority, premium processing, regulatory reporting, reinsurance, analytics, and data migration.The ideal candidate should have strong hands-on architecture experience in Azure-based data platforms and should be able to work closely with business stakeholders, enterprise architects, solution architects, data engineers, insurance SMEs, vendors, and delivery teamsHybrid working:The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.Key Responsibilities:Define end-to-end data architecture for Azure-based data platforms using Azure Databricks, Azure Data Factory, ADLS Gen2, Delta Lake, Azure Synapse, and Power BI.Design scalable and secure lakehouse architecture using bronze, silver, and gold data layers.Lead architecture and design for data ingestion, transformation, curation, data marts, reporting, and analytics solutions.Create high-level and low-level data architecture documents, data flow diagrams, integration architecture, and data platform blueprints.Define architecture patterns for batch, incremental, real-time, and API-based data ingestion.Design reusable data ingestion and transformation frameworks using ADF and Databricks.Define data models for London Market Insurance data including policy, claims, premium, broker, bordereaux, delegated authority, reinsurance, exposure, and regulatory reporting data.Work with business analysts and insurance SMEs to understand London Market business processes and translate requirements into data architecture.Define standards for data modelling, source-to-target mapping, data quality, reconciliation, metadata, lineage, and auditability.Design data governance, security, access control, and compliance frameworks for insurance data.Support cloud migration, data warehouse modernisation, reporting transformation, and legacy system decommissioning initiatives.Review technical designs, data models, ETL/ELT pipelines, and engineering implementation.Provide architectural guidance to data engineers working on Azure Databricks, ADF, PySpark, SQL, and Delta Lake.Collaborate with enterprise architecture, solution architecture, security, infrastructure, DevOps, and business teams.Define CI/CD, DevOps, deployment, monitoring, and operational support architecture for data platforms.Identify performance, scalability, reliability, and cost optimisation opportunities across Azure data services.Support governance forums, architecture review boards, design authority meetings, and client stakeholder workshops.Mandatory SkillsStrong experience as a Data Architect or Senior Data Architect.Strong hands-on experience with Azure Databricks.Strong architecture and implementation experience with Azure Data Factory.Strong understanding of Azure Data Lake Storage Gen2.Strong experience with Delta Lake, lakehouse architecture, and medallion architecture.Excellent knowledge of data modelling, dimensional modelling, canonical data models, and enterprise data models.Strong experience in designing ETL/ELT data pipelines.Good understanding of PySpark, Spark SQL, Python, and SQL.Strong knowledge of data warehouse, data lake, data mart, and semantic layer architecture.Experience in defining data quality, data validation, reconciliation, audit, and exception handling frameworks.Experience with data governance, metadata management, data lineage, data catalogue, and data privacy controls.Experience with Azure security concepts including Managed Identity, Azure RBAC, Key Vault, ACLs, private endpoints, and encryption.Experience with CI/CD and DevOps practices using Azure DevOps, Git, ARM templates, Bicep, or Terraform.Strong stakeholder management, communication, presentation, and documentation skills.Ability to lead architecture discussions with business, technology, and senior client stakeholders.London Market Insurance Domain ExperienceThe candidate should have exposure to one or more of the following areas:Lloyd's Market operationsLondon Market Insurance operating modelSpecialty insurance and commercial insuranceBroker, carrier, managing agent, and syndicate data flowsUnderwriting data architectureClaims data architecturePolicy administration dataPremium and claims accountingBordereaux processingDelegated authority and binder dataCoverholder dataExposure managementReinsurance dataRegulatory and compliance reportingFinancial and management reportingBlueprint Two / London Market modernisation data initiativesAzure Architecture Skills ExpectedCandidate should have strong knowledge of the following Azure components:Azure DatabricksLakehouse architectureDatabricks notebooks, jobs, workflows, clustersDelta Lake optimisationUnity Catalog, if applicableDatabricks SQL, if applicableCluster sizing and cost optimisationSecurity and access control patternsAzure Data FactoryPipeline orchestrationLinked services and datasetsIntegration runtimeParameterised pipelinesTriggers and schedulingError handling and retry patternsMetadata-driven ingestion frameworksMonitoring and operational supportAzure Data Lake / StorageADLS Gen2 architectureLanding, raw, curated, and consumption zonesFolder hierarchy and naming standardsPartitioning strategyFile format standardsData retention and archival strategyAzure Governance and SecurityAzure Key VaultManaged IdentityAzure RBACStorage ACLsPrivate endpointsData maskingEncryption at rest and in transitLogging, monitoring, and audit controlsData Architecture ResponsibilitiesDefine conceptual, logical, and physical data models.Design canonical data models for insurance entities.Define data domains such as policy, claims, party, broker, premium, risk, exposure, and reinsurance.Define source-to-target mapping standards.Establish data quality rules and validation patterns.Define metadata and lineage requirements.Design reusable data ingestion frameworks.Define data retention, archival, and purge strategies.Define master and reference data management approach.Design reporting and analytics data marts.Define semantic layer and consumption patterns for BI tools.Review and approve data engineering designs and implementation.We are a Disability Confident Employer:Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government's Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:Declare they have a disability, andMeet the minimum essential criteria for the role.Please opt in during the application process.Make It Real (what does it mean for you):You'd be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions.To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.You will be empowered to explore, innovate, and progress. You will benefit from Capgemini's 'learning for life' mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.You will be joining one of the World's Most Ethical Companies, as recognised by Ethisphere for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.Why you should consider Capgemini:Growing clients' businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you'll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what's possible. It's why, together, we seek out opportunities that will transform the world's leading businesses, and it's how you'll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you'll build the skills you want. You'll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.About Capgemini:Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.Make it real.
23/06/2026
Full time
Job Title: Data Architect - Azure Databricks / Azure Data Factory For London Market InsuranceExp Required - 10 years PlusLocation: LondonAbout the Job you are considering:We are looking for an experienced Data Architect with strong expertise in Azure Databricks, Azure Data Factory, Azure Data Lake, Delta Lake, data modelling, data governance, and cloud data architecture, along with domain experience in London Market Insurance.The candidate will be responsible for defining and delivering scalable data architecture solutions for insurance transformation programmes covering underwriting, claims, policy administration, bordereaux, delegated authority, premium processing, regulatory reporting, reinsurance, analytics, and data migration.The ideal candidate should have strong hands-on architecture experience in Azure-based data platforms and should be able to work closely with business stakeholders, enterprise architects, solution architects, data engineers, insurance SMEs, vendors, and delivery teamsHybrid working:The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.Key Responsibilities:Define end-to-end data architecture for Azure-based data platforms using Azure Databricks, Azure Data Factory, ADLS Gen2, Delta Lake, Azure Synapse, and Power BI.Design scalable and secure lakehouse architecture using bronze, silver, and gold data layers.Lead architecture and design for data ingestion, transformation, curation, data marts, reporting, and analytics solutions.Create high-level and low-level data architecture documents, data flow diagrams, integration architecture, and data platform blueprints.Define architecture patterns for batch, incremental, real-time, and API-based data ingestion.Design reusable data ingestion and transformation frameworks using ADF and Databricks.Define data models for London Market Insurance data including policy, claims, premium, broker, bordereaux, delegated authority, reinsurance, exposure, and regulatory reporting data.Work with business analysts and insurance SMEs to understand London Market business processes and translate requirements into data architecture.Define standards for data modelling, source-to-target mapping, data quality, reconciliation, metadata, lineage, and auditability.Design data governance, security, access control, and compliance frameworks for insurance data.Support cloud migration, data warehouse modernisation, reporting transformation, and legacy system decommissioning initiatives.Review technical designs, data models, ETL/ELT pipelines, and engineering implementation.Provide architectural guidance to data engineers working on Azure Databricks, ADF, PySpark, SQL, and Delta Lake.Collaborate with enterprise architecture, solution architecture, security, infrastructure, DevOps, and business teams.Define CI/CD, DevOps, deployment, monitoring, and operational support architecture for data platforms.Identify performance, scalability, reliability, and cost optimisation opportunities across Azure data services.Support governance forums, architecture review boards, design authority meetings, and client stakeholder workshops.Mandatory SkillsStrong experience as a Data Architect or Senior Data Architect.Strong hands-on experience with Azure Databricks.Strong architecture and implementation experience with Azure Data Factory.Strong understanding of Azure Data Lake Storage Gen2.Strong experience with Delta Lake, lakehouse architecture, and medallion architecture.Excellent knowledge of data modelling, dimensional modelling, canonical data models, and enterprise data models.Strong experience in designing ETL/ELT data pipelines.Good understanding of PySpark, Spark SQL, Python, and SQL.Strong knowledge of data warehouse, data lake, data mart, and semantic layer architecture.Experience in defining data quality, data validation, reconciliation, audit, and exception handling frameworks.Experience with data governance, metadata management, data lineage, data catalogue, and data privacy controls.Experience with Azure security concepts including Managed Identity, Azure RBAC, Key Vault, ACLs, private endpoints, and encryption.Experience with CI/CD and DevOps practices using Azure DevOps, Git, ARM templates, Bicep, or Terraform.Strong stakeholder management, communication, presentation, and documentation skills.Ability to lead architecture discussions with business, technology, and senior client stakeholders.London Market Insurance Domain ExperienceThe candidate should have exposure to one or more of the following areas:Lloyd's Market operationsLondon Market Insurance operating modelSpecialty insurance and commercial insuranceBroker, carrier, managing agent, and syndicate data flowsUnderwriting data architectureClaims data architecturePolicy administration dataPremium and claims accountingBordereaux processingDelegated authority and binder dataCoverholder dataExposure managementReinsurance dataRegulatory and compliance reportingFinancial and management reportingBlueprint Two / London Market modernisation data initiativesAzure Architecture Skills ExpectedCandidate should have strong knowledge of the following Azure components:Azure DatabricksLakehouse architectureDatabricks notebooks, jobs, workflows, clustersDelta Lake optimisationUnity Catalog, if applicableDatabricks SQL, if applicableCluster sizing and cost optimisationSecurity and access control patternsAzure Data FactoryPipeline orchestrationLinked services and datasetsIntegration runtimeParameterised pipelinesTriggers and schedulingError handling and retry patternsMetadata-driven ingestion frameworksMonitoring and operational supportAzure Data Lake / StorageADLS Gen2 architectureLanding, raw, curated, and consumption zonesFolder hierarchy and naming standardsPartitioning strategyFile format standardsData retention and archival strategyAzure Governance and SecurityAzure Key VaultManaged IdentityAzure RBACStorage ACLsPrivate endpointsData maskingEncryption at rest and in transitLogging, monitoring, and audit controlsData Architecture ResponsibilitiesDefine conceptual, logical, and physical data models.Design canonical data models for insurance entities.Define data domains such as policy, claims, party, broker, premium, risk, exposure, and reinsurance.Define source-to-target mapping standards.Establish data quality rules and validation patterns.Define metadata and lineage requirements.Design reusable data ingestion frameworks.Define data retention, archival, and purge strategies.Define master and reference data management approach.Design reporting and analytics data marts.Define semantic layer and consumption patterns for BI tools.Review and approve data engineering designs and implementation.We are a Disability Confident Employer:Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government's Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:Declare they have a disability, andMeet the minimum essential criteria for the role.Please opt in during the application process.Make It Real (what does it mean for you):You'd be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions.To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.You will be empowered to explore, innovate, and progress. You will benefit from Capgemini's 'learning for life' mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.You will be joining one of the World's Most Ethical Companies, as recognised by Ethisphere for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.Why you should consider Capgemini:Growing clients' businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you'll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what's possible. It's why, together, we seek out opportunities that will transform the world's leading businesses, and it's how you'll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you'll build the skills you want. You'll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.About Capgemini:Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.Make it real.
Senior Data Scientist Location: London (Hybrid) | Practice Area : Data & Analytics | Type: Permanent Shape intelligent solutions. Lead with insight. Drive data innovation. The Role We are looking for a Senior Data Scientist to join Capco's growing UK Data Practice. You will play a leading role in designing and implementing cutting-edge data science solutions across financial services. This is an opportunity to build intelligent systems that drive commercial and customer outcomes - while mentoring others and collaborating in a dynamic, multi-disciplinary environment. What You'll Do Lead the end-to-end delivery of data science solutions including PoCs, MVPs and production deployments Develop and prototype ML models to solve complex business challenges using modern techniques and tooling Collaborate closely with engineers, domain experts, and business teams to translate requirements into deliverables Guide and coach data science pods, supporting skill development and solution design Act as a subject matter expert on ML architecture, model calibration and productionisation What We're Looking For Hands-on experience building and deploying data science solutions in Python and related ML libraries Strong background in applied machine learning, model development and data engineering Experience with cloud environments (Azure, AWS, GCP) and tools such as Spark, Hive, Redshift Demonstrated ability to lead cross-functional teams and mentor junior practitioners Ability to communicate complex technical concepts clearly to non-technical audiences Bonus Points For Participation in Kaggle or other data science competitions Experience with MLOps practices (CI/CD, model monitoring, DevOps integration) Familiarity with advanced NLP frameworks such as spaCy or Transformers MSc or PhD in a numerate discipline Financial services or banking experience Why Join Capco Deliver high-impact technology solutions for Tier 1 financial institutions Work in a collaborative, flat, and entrepreneurial consulting culture Access continuous learning, training, and industry certifications Be part of a team shaping the future of digital financial services Help shape the future of digital transformation across FS & Energy. We offer a competitive, people-first benefits package designed to support every aspect of your life: Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover. Mental Health: Easy access to CareFirst, Unmind, Aviva consultations and in-house first aiders. Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement. Family Care: 8 complimentary backup care sessions for emergency childcare or elder care. Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs. Continuous Learning: Minimum 40 Hours of Training Annually: Take your pick - workshops, certifications, E-learning - your growth, your way. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development. Healthcare Access: Convenient online GP services. Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work and dental insurance. Inclusion at Capco We're committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know - we'll be happy to help. We value each person's unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our culture encourages individuality and collaboration - a mindset that shapes how we work with clients and each other every day.
22/06/2026
Full time
Senior Data Scientist Location: London (Hybrid) | Practice Area : Data & Analytics | Type: Permanent Shape intelligent solutions. Lead with insight. Drive data innovation. The Role We are looking for a Senior Data Scientist to join Capco's growing UK Data Practice. You will play a leading role in designing and implementing cutting-edge data science solutions across financial services. This is an opportunity to build intelligent systems that drive commercial and customer outcomes - while mentoring others and collaborating in a dynamic, multi-disciplinary environment. What You'll Do Lead the end-to-end delivery of data science solutions including PoCs, MVPs and production deployments Develop and prototype ML models to solve complex business challenges using modern techniques and tooling Collaborate closely with engineers, domain experts, and business teams to translate requirements into deliverables Guide and coach data science pods, supporting skill development and solution design Act as a subject matter expert on ML architecture, model calibration and productionisation What We're Looking For Hands-on experience building and deploying data science solutions in Python and related ML libraries Strong background in applied machine learning, model development and data engineering Experience with cloud environments (Azure, AWS, GCP) and tools such as Spark, Hive, Redshift Demonstrated ability to lead cross-functional teams and mentor junior practitioners Ability to communicate complex technical concepts clearly to non-technical audiences Bonus Points For Participation in Kaggle or other data science competitions Experience with MLOps practices (CI/CD, model monitoring, DevOps integration) Familiarity with advanced NLP frameworks such as spaCy or Transformers MSc or PhD in a numerate discipline Financial services or banking experience Why Join Capco Deliver high-impact technology solutions for Tier 1 financial institutions Work in a collaborative, flat, and entrepreneurial consulting culture Access continuous learning, training, and industry certifications Be part of a team shaping the future of digital financial services Help shape the future of digital transformation across FS & Energy. We offer a competitive, people-first benefits package designed to support every aspect of your life: Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover. Mental Health: Easy access to CareFirst, Unmind, Aviva consultations and in-house first aiders. Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement. Family Care: 8 complimentary backup care sessions for emergency childcare or elder care. Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs. Continuous Learning: Minimum 40 Hours of Training Annually: Take your pick - workshops, certifications, E-learning - your growth, your way. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development. Healthcare Access: Convenient online GP services. Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work and dental insurance. Inclusion at Capco We're committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know - we'll be happy to help. We value each person's unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our culture encourages individuality and collaboration - a mindset that shapes how we work with clients and each other every day.
Do you want to boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients' most important challenges? We are growing and are looking for people to join our team. You'll be part of an entrepreneurial, high-growth environment of 300,000 employees. Our dynamic organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset. Are you ready? About your role Enterprise AI is forcing organisations to rethink their data estates. Data platforms designed mainly for reporting are often not enough for GenAI, semantic search, agentic workflows and AI-enabled decision making. Clients now need data that is trusted, governed, contextualised and consumable by both people and intelligent systems. We are looking for client-facing Enterprise Data Architects to join our growing Enterprise AI practice. You will help clients transform fragmented data estates into AI ready foundations, advising on architecture decisions across cloud data platforms, lakehouse and warehouse patterns, data products, semantic layers, metadata, lineage, governance, knowledge graphs and GenAI retrieval patterns. This is a consulting role, not a purely internal architecture role. You will diagnose ambiguous client problems, shape options, make trade offs explicit, and translate complex data architecture issues into clear decisions for both technical teams and executive stakeholders. You will work in cross functional teams alongside product owners, data scientists, ML and GenAI engineers, data engineers, business analysts and client stakeholders. Typical outputs may include target state architectures, maturity assessments, platform option appraisals, data product designs, governance models, lineage maps, ontology and semantic models, integration patterns, GenAI data readiness assessments and implementation roadmaps. We are hiring across several levels. At earlier levels, we expect strong architecture delivery experience and hands on platform understanding. At senior levels, we expect the ability to shape enterprise data strategy, influence senior stakeholders, lead complex architecture decisions and guide multi disciplinary delivery teams. We do not expect every candidate to be a specialist in every aspect of AI ready data architecture. We are looking for architects with strong core data architecture experience and credible depth in some of the areas that matter for AI enabled data estates, such as governance, semantic modelling, lakehouse architecture, data products, metadata management, knowledge graphs, RAG or enterprise data strategy. Responsibilities Design AI ready enterprise data architectures that enable analytics, AI, ML, GenAI and agentic applications to consume data accurately, securely and with appropriate business context. Assess clients' existing data estates, diagnose structural, governance, semantic and quality issues, and design pragmatic modernisation roadmaps. Advise clients on architecture and platform choices, helping them navigate trade offs between lakehouses, warehouses, data fabrics, graph databases, semantic layers, vector search and hybrid architectures. Define data governance and metadata patterns covering ownership, stewardship, quality, lineage, cataloguing, access control and data lifecycle management. Design data products, data contracts and information models that make enterprise data reusable across analytics, AI, GenAI and operational workflows. Shape semantic layers, ontologies and knowledge graph patterns where these improve data discoverability, interoperability, explainability or AI consumption. Oversee high level design of ingestion, integration and transformation patterns, including batch, event driven and real time architectures. Identify and mitigate data related risks, including poor data quality, weak provenance, data leakage, inappropriate access, retrieval failure and inference time use of enterprise knowledge. Act as a trusted advisor to client stakeholders, translating technical architecture concepts into clear business outcomes, options and risks. Contribute to proposals, client conversations, internal methods and thought leadership on enterprise data architecture and AI ready data foundations. Skills and Qualifications Essential Skills 5-10+ years, depending on level, in data architecture, enterprise architecture, solution architecture or senior data engineering roles. Demonstrable experience designing modern data architectures for analytics, AI, ML or GenAI consumption. Strong understanding of enterprise data architecture patterns, including cloud data platforms, lakehouses, warehouses, data integration, data modelling and metadata management. Experience contributing to or leading data governance initiatives, including catalogues, lineage, ownership, stewardship, data quality and metadata management. Practical understanding of semantic layers, ontologies or knowledge graph concepts, with hands on experience in at least one of these areas. Deep experience with at least one major cloud data platform, such as AWS, Azure or Google Cloud, and familiarity with leading lakehouse or warehouse technologies. Understanding of how data architecture decisions affect AI and GenAI outcomes, including data quality, provenance, context, retrieval, security, privacy and semantic consistency. Familiarity with GenAI data patterns such as retrieval augmented generation, vector search, embedding pipelines, chunking strategies or enterprise search. Strong stakeholder management and communication skills, with the ability to present complex technical trade offs clearly to non technical sponsors and senior executives. Excellent written and verbal communication skills in English. Bachelor's degree or equivalent experience; quantitative, technical or analytical disciplines are an advantage. Willingness to travel, up to around 60% depending on project requirements, across the UK and internationally. Preferred Skills A second major European language is an advantage. Experience with graph modelling, ontology standards or graph query languages such as RDF, OWL and SPARQL. Familiarity with feature store design and MLOps / DataOps pipeline integration. Experience with stream processing at scale using Apache Kafka or Apache Flink. Background in master data management or data mesh architecture. Consulting or comparable client facing delivery experience. Exposure to cloud data platforms (Databricks, Snowflake, Microsoft Fabric, Azure Synapse, Google BigQuery, Amazon Redshift), data engineering and orchestration (Spark, dbt, Airflow, Azure Data Factory, AWS Glue, Dataflow, Kafka, Flink), governance, catalogue and lineage tools (Microsoft Purview, Collibra, Informatica, Alation, Atlan, OpenLineage), graph, ontology and semantic technologies (Neo4j, Amazon Neptune, Stardog, GraphDB, RDF, OWL, SPARQL), or AI/ML data infrastructure (vector databases such as Pinecone, Weaviate, Milvus, Azure AI Search, OpenSearch or pgvector; feature stores such as Feast or Tecton; model lifecycle and experiment tracking tools such as MLflow). We do not expect candidates to have worked with all of them. Personal Attributes Comfortable working in ambiguous consulting environments, shaping options, making trade offs explicit and taking senior stakeholders on the journey from strategy to implementation. Self directed, able to prioritise and juggle multiple workstreams. Clear communicator who can simplify complexity for technical and non technical audiences alike. Collaborative, curious, continuous learner. We offer industry leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions.
22/06/2026
Full time
Do you want to boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients' most important challenges? We are growing and are looking for people to join our team. You'll be part of an entrepreneurial, high-growth environment of 300,000 employees. Our dynamic organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset. Are you ready? About your role Enterprise AI is forcing organisations to rethink their data estates. Data platforms designed mainly for reporting are often not enough for GenAI, semantic search, agentic workflows and AI-enabled decision making. Clients now need data that is trusted, governed, contextualised and consumable by both people and intelligent systems. We are looking for client-facing Enterprise Data Architects to join our growing Enterprise AI practice. You will help clients transform fragmented data estates into AI ready foundations, advising on architecture decisions across cloud data platforms, lakehouse and warehouse patterns, data products, semantic layers, metadata, lineage, governance, knowledge graphs and GenAI retrieval patterns. This is a consulting role, not a purely internal architecture role. You will diagnose ambiguous client problems, shape options, make trade offs explicit, and translate complex data architecture issues into clear decisions for both technical teams and executive stakeholders. You will work in cross functional teams alongside product owners, data scientists, ML and GenAI engineers, data engineers, business analysts and client stakeholders. Typical outputs may include target state architectures, maturity assessments, platform option appraisals, data product designs, governance models, lineage maps, ontology and semantic models, integration patterns, GenAI data readiness assessments and implementation roadmaps. We are hiring across several levels. At earlier levels, we expect strong architecture delivery experience and hands on platform understanding. At senior levels, we expect the ability to shape enterprise data strategy, influence senior stakeholders, lead complex architecture decisions and guide multi disciplinary delivery teams. We do not expect every candidate to be a specialist in every aspect of AI ready data architecture. We are looking for architects with strong core data architecture experience and credible depth in some of the areas that matter for AI enabled data estates, such as governance, semantic modelling, lakehouse architecture, data products, metadata management, knowledge graphs, RAG or enterprise data strategy. Responsibilities Design AI ready enterprise data architectures that enable analytics, AI, ML, GenAI and agentic applications to consume data accurately, securely and with appropriate business context. Assess clients' existing data estates, diagnose structural, governance, semantic and quality issues, and design pragmatic modernisation roadmaps. Advise clients on architecture and platform choices, helping them navigate trade offs between lakehouses, warehouses, data fabrics, graph databases, semantic layers, vector search and hybrid architectures. Define data governance and metadata patterns covering ownership, stewardship, quality, lineage, cataloguing, access control and data lifecycle management. Design data products, data contracts and information models that make enterprise data reusable across analytics, AI, GenAI and operational workflows. Shape semantic layers, ontologies and knowledge graph patterns where these improve data discoverability, interoperability, explainability or AI consumption. Oversee high level design of ingestion, integration and transformation patterns, including batch, event driven and real time architectures. Identify and mitigate data related risks, including poor data quality, weak provenance, data leakage, inappropriate access, retrieval failure and inference time use of enterprise knowledge. Act as a trusted advisor to client stakeholders, translating technical architecture concepts into clear business outcomes, options and risks. Contribute to proposals, client conversations, internal methods and thought leadership on enterprise data architecture and AI ready data foundations. Skills and Qualifications Essential Skills 5-10+ years, depending on level, in data architecture, enterprise architecture, solution architecture or senior data engineering roles. Demonstrable experience designing modern data architectures for analytics, AI, ML or GenAI consumption. Strong understanding of enterprise data architecture patterns, including cloud data platforms, lakehouses, warehouses, data integration, data modelling and metadata management. Experience contributing to or leading data governance initiatives, including catalogues, lineage, ownership, stewardship, data quality and metadata management. Practical understanding of semantic layers, ontologies or knowledge graph concepts, with hands on experience in at least one of these areas. Deep experience with at least one major cloud data platform, such as AWS, Azure or Google Cloud, and familiarity with leading lakehouse or warehouse technologies. Understanding of how data architecture decisions affect AI and GenAI outcomes, including data quality, provenance, context, retrieval, security, privacy and semantic consistency. Familiarity with GenAI data patterns such as retrieval augmented generation, vector search, embedding pipelines, chunking strategies or enterprise search. Strong stakeholder management and communication skills, with the ability to present complex technical trade offs clearly to non technical sponsors and senior executives. Excellent written and verbal communication skills in English. Bachelor's degree or equivalent experience; quantitative, technical or analytical disciplines are an advantage. Willingness to travel, up to around 60% depending on project requirements, across the UK and internationally. Preferred Skills A second major European language is an advantage. Experience with graph modelling, ontology standards or graph query languages such as RDF, OWL and SPARQL. Familiarity with feature store design and MLOps / DataOps pipeline integration. Experience with stream processing at scale using Apache Kafka or Apache Flink. Background in master data management or data mesh architecture. Consulting or comparable client facing delivery experience. Exposure to cloud data platforms (Databricks, Snowflake, Microsoft Fabric, Azure Synapse, Google BigQuery, Amazon Redshift), data engineering and orchestration (Spark, dbt, Airflow, Azure Data Factory, AWS Glue, Dataflow, Kafka, Flink), governance, catalogue and lineage tools (Microsoft Purview, Collibra, Informatica, Alation, Atlan, OpenLineage), graph, ontology and semantic technologies (Neo4j, Amazon Neptune, Stardog, GraphDB, RDF, OWL, SPARQL), or AI/ML data infrastructure (vector databases such as Pinecone, Weaviate, Milvus, Azure AI Search, OpenSearch or pgvector; feature stores such as Feast or Tecton; model lifecycle and experiment tracking tools such as MLflow). We do not expect candidates to have worked with all of them. Personal Attributes Comfortable working in ambiguous consulting environments, shaping options, making trade offs explicit and taking senior stakeholders on the journey from strategy to implementation. Self directed, able to prioritise and juggle multiple workstreams. Clear communicator who can simplify complexity for technical and non technical audiences alike. Collaborative, curious, continuous learner. We offer industry leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions.
Role: Senior Data Manager/Lead Location: London (Hybrid) Comp: £115,000 P/A (FTC) Duration: 12 Months Skills:Python (Programming Language), SQL, Apache Spark, PySpark, Azure Databricks, Data Lakes, Data Warehouse Architecture, Leadership, Software Development, Management The role We're partnering with a large, data-driven organisation seeking an experienced technology leader to take ownership of a critical enterprise data capability. This is a highly visible leadership opportunity, combining strategic platform oversight, engineering excellence, operational leadership, and senior stakeholder engagement. You'll play a key role in shaping the future of a major data ecosystem while leading high-performing teams responsible for delivering reliable, scalable, and business-critical platforms. Responsibilities Define and execute the long-term strategy for enterprise data platforms, balancing innovation, resilience, and business value. Lead multi-disciplinary engineering and delivery teams, driving operational excellence, platform reliability, and continuous improvement. Oversee large-scale technology programmes, ensuring successful delivery through effective governance, planning, and stakeholder management. Partner with senior business and technology leaders to influence investment decisions, platform roadmaps, and organisational data strategy. Requirements Significant experience leading data, platform, or technology functions within a complex enterprise environment. Strong background in data platforms, cloud technologies, engineering leadership, and operational management. Proven track record delivering large-scale transformation programmes and managing senior stakeholder relationships. Experience owning budgets, vendor relationships, and building high-performing teams with a focus on continuous improvement. Interested? If you're a strategic technology leader who enjoys operating at both executive and delivery level, we'd love to hear from you. Apply today for a confidential discussion.
22/06/2026
Full time
Role: Senior Data Manager/Lead Location: London (Hybrid) Comp: £115,000 P/A (FTC) Duration: 12 Months Skills:Python (Programming Language), SQL, Apache Spark, PySpark, Azure Databricks, Data Lakes, Data Warehouse Architecture, Leadership, Software Development, Management The role We're partnering with a large, data-driven organisation seeking an experienced technology leader to take ownership of a critical enterprise data capability. This is a highly visible leadership opportunity, combining strategic platform oversight, engineering excellence, operational leadership, and senior stakeholder engagement. You'll play a key role in shaping the future of a major data ecosystem while leading high-performing teams responsible for delivering reliable, scalable, and business-critical platforms. Responsibilities Define and execute the long-term strategy for enterprise data platforms, balancing innovation, resilience, and business value. Lead multi-disciplinary engineering and delivery teams, driving operational excellence, platform reliability, and continuous improvement. Oversee large-scale technology programmes, ensuring successful delivery through effective governance, planning, and stakeholder management. Partner with senior business and technology leaders to influence investment decisions, platform roadmaps, and organisational data strategy. Requirements Significant experience leading data, platform, or technology functions within a complex enterprise environment. Strong background in data platforms, cloud technologies, engineering leadership, and operational management. Proven track record delivering large-scale transformation programmes and managing senior stakeholder relationships. Experience owning budgets, vendor relationships, and building high-performing teams with a focus on continuous improvement. Interested? If you're a strategic technology leader who enjoys operating at both executive and delivery level, we'd love to hear from you. Apply today for a confidential discussion.
Salary: £57,000 - 96,000 per year About the role Markerstudy Group is seeking a Senior Machine Learning Engineer to contribute to innovative insurance risk modeling and pricing techniques. We are a leading provider of private insurance in the UK, insuring a significant proportion of vehicles across the country. Our innovative approach supports well-known brands such as Tesco, Sainsbury's, and Halifax. In this hybrid role based in either Manchester or Haywards Heath, you will play a crucial part in enhancing our machine learning capabilities, helping us stay competitive in the market. We offer a collaborative and supportive work environment with opportunities for professional development and a focus on innovation. Responsibilities Tune machine learning methods to leverage state-of-the-art processing capabilities Deploy and maintain machine learning methods in a DevOps/MLOps environment Create robust, high-quality code using test-driven development (TDD) techniques Refine, tune, deploy and maintain machine learning methods in our pipeline Propose, proof-of-concept, develop, and deliver novel machine learning processes Collaborate with data science teams to deploy state-of-the-art, robust, and extensible machine learning methods Actively contribute to fostering a culture of coding and data excellence Implement efficient solutions across various markets, including Private Motor, Commercial Vehicle, Bike, Taxi, and Home Lead and mentor junior machine learning engineers, sharing best practices Report and communicate with senior stakeholders, including the Head of Data Science and Machine Learning and Director of Technical Underwriting Requirements Previous experience in tuning and deploying machine learning methods Familiarity with predictive modeling techniques such as Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets, and Clustering Experience in DevOps and Azure ML, or other MLOps and ML lifecycle technology stacks like AWS, Databricks, Google Cloud Proficiency in deploying services in Docker and Kubernetes Strong ability to create production-grade code following SOLID programming principles, including test-driven development (TDD) Proficiency in programming languages such as Python, PySpark, R, SAS, and SQL Experience with source control software, e.g., GitHub Excellent verbal and written communication skills for conveying results clearly Knowledge of data and model monitoring is a plus Educated to at least a masters level in a STEM-based or Data Science/ML/AI/mathematical discipline Strong collaborative and team-oriented mindset Logical thinker with a professional and positive attitude Passion for innovation and process improvement Technologies AI AWS Azure Cloud Databricks DevOps Docker GitHub Support Kubernetes Machine Learning Python PySpark SAS SQL TDD
21/06/2026
Full time
Salary: £57,000 - 96,000 per year About the role Markerstudy Group is seeking a Senior Machine Learning Engineer to contribute to innovative insurance risk modeling and pricing techniques. We are a leading provider of private insurance in the UK, insuring a significant proportion of vehicles across the country. Our innovative approach supports well-known brands such as Tesco, Sainsbury's, and Halifax. In this hybrid role based in either Manchester or Haywards Heath, you will play a crucial part in enhancing our machine learning capabilities, helping us stay competitive in the market. We offer a collaborative and supportive work environment with opportunities for professional development and a focus on innovation. Responsibilities Tune machine learning methods to leverage state-of-the-art processing capabilities Deploy and maintain machine learning methods in a DevOps/MLOps environment Create robust, high-quality code using test-driven development (TDD) techniques Refine, tune, deploy and maintain machine learning methods in our pipeline Propose, proof-of-concept, develop, and deliver novel machine learning processes Collaborate with data science teams to deploy state-of-the-art, robust, and extensible machine learning methods Actively contribute to fostering a culture of coding and data excellence Implement efficient solutions across various markets, including Private Motor, Commercial Vehicle, Bike, Taxi, and Home Lead and mentor junior machine learning engineers, sharing best practices Report and communicate with senior stakeholders, including the Head of Data Science and Machine Learning and Director of Technical Underwriting Requirements Previous experience in tuning and deploying machine learning methods Familiarity with predictive modeling techniques such as Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets, and Clustering Experience in DevOps and Azure ML, or other MLOps and ML lifecycle technology stacks like AWS, Databricks, Google Cloud Proficiency in deploying services in Docker and Kubernetes Strong ability to create production-grade code following SOLID programming principles, including test-driven development (TDD) Proficiency in programming languages such as Python, PySpark, R, SAS, and SQL Experience with source control software, e.g., GitHub Excellent verbal and written communication skills for conveying results clearly Knowledge of data and model monitoring is a plus Educated to at least a masters level in a STEM-based or Data Science/ML/AI/mathematical discipline Strong collaborative and team-oriented mindset Logical thinker with a professional and positive attitude Passion for innovation and process improvement Technologies AI AWS Azure Cloud Databricks DevOps Docker GitHub Support Kubernetes Machine Learning Python PySpark SAS SQL TDD
Salary: £? - ? per year Requirements: Hands on experience delivering end to end data solutions across Microsoft Fabric and Azure, including OneLake, Lakehouse or Warehouse, Dataflows Gen2, Pipelines, Synapse and SQL Experience designing and building lakehouse and pipeline solutions from ingestion through to consumption ETL and ELT design experience, including data modelling using lakehouse patterns and star or snowflake schemas Experience migrating or integrating legacy data sources such as Dataverse and SQL into modern analytics architectures Strong practical capability across Microsoft Fabric and Azure data services, including Dataflows Gen2, Fabric Pipelines, Data Factory, Synapse and SQL Advanced SQL skills, including complex joins, query optimisation and performance tuning Strong Python or PySpark skills for data transformation and automation Strong ETL and ELT design capability with experience building batch pipelines Responsibilities: Design, build and deliver data solutions across the Microsoft cloud stack Work with Microsoft Fabric and Azure data platform technologies Deliver lakehouse and pipeline solutions from ingestion through to consumption Build ETL and ELT processes and data models using lakehouse patterns, star schemas or snowflake schemas Migrate or integrate legacy data sources into modern analytics architectures Technologies: Azure Cloud ETL Fabric Python PySpark SQL Snowflake More: We are working in partnership with a housing association to recruit an IT Data Engineer on a 6 month contract basis. This is a hybrid role with one day per week in our Wiltshire office. The role focuses on designing, building and delivering solutions across the Microsoft cloud stack, with a strong emphasis on Microsoft Fabric and the Azure data platform. We also offer a recommendation scheme where you can receive up to £100 for recommending a friend or colleague once they have completed 20 days in a role via James Andrews, subject to terms and conditions.
21/06/2026
Full time
Salary: £? - ? per year Requirements: Hands on experience delivering end to end data solutions across Microsoft Fabric and Azure, including OneLake, Lakehouse or Warehouse, Dataflows Gen2, Pipelines, Synapse and SQL Experience designing and building lakehouse and pipeline solutions from ingestion through to consumption ETL and ELT design experience, including data modelling using lakehouse patterns and star or snowflake schemas Experience migrating or integrating legacy data sources such as Dataverse and SQL into modern analytics architectures Strong practical capability across Microsoft Fabric and Azure data services, including Dataflows Gen2, Fabric Pipelines, Data Factory, Synapse and SQL Advanced SQL skills, including complex joins, query optimisation and performance tuning Strong Python or PySpark skills for data transformation and automation Strong ETL and ELT design capability with experience building batch pipelines Responsibilities: Design, build and deliver data solutions across the Microsoft cloud stack Work with Microsoft Fabric and Azure data platform technologies Deliver lakehouse and pipeline solutions from ingestion through to consumption Build ETL and ELT processes and data models using lakehouse patterns, star schemas or snowflake schemas Migrate or integrate legacy data sources into modern analytics architectures Technologies: Azure Cloud ETL Fabric Python PySpark SQL Snowflake More: We are working in partnership with a housing association to recruit an IT Data Engineer on a 6 month contract basis. This is a hybrid role with one day per week in our Wiltshire office. The role focuses on designing, building and delivering solutions across the Microsoft cloud stack, with a strong emphasis on Microsoft Fabric and the Azure data platform. We also offer a recommendation scheme where you can receive up to £100 for recommending a friend or colleague once they have completed 20 days in a role via James Andrews, subject to terms and conditions.
Data Engineer Role: Data Engineer Location: Newcastle Upon Tyne Salary: TBC - Depending on experience Levels: Senior Analyst, Specialist Hybrid Working: 3 days per week in our Newcastle, Cobalt business park office Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) and declaration of being a British or EU passport holder or hold Indefinite Leave to remain within the UK at the point of application. Role Overview As a Data Engineer, you will design, build, and maintain scalable data solutions that enable analytics, AI, and operational insights. You'll work alongside client and internal teams to create robust data pipelines, ensure data reliability, and support cloud based architectures that power intelligent decision making. Key Responsibilities Data Pipeline Development Build, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark. Develop and support real time streaming pipelines and event driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using AWS managed services (e.g., Kinesis, MSK, Lambda, Glue). Data Architecture & Standards Contribute to data modelling, data architecture best practices, and modern patterns (e.g., medallion architecture). Ensure data quality, lineage, governance, and security controls are applied consistently. DevOps & Deployment Deploy and maintain data applications using CI/CD tooling (Azure DevOps, GitHub Actions, Jenkins). Use Infrastructure as Code (e.g., Terraform, CloudFormation) to manage cloud environments. Work with container technologies such as Docker and Kubernetes based workloads. Collaboration Work closely with analytics, ML/AI, and product teams to deliver clean, well structured datasets. Participate in code reviews and internal knowledge sharing sessions. Provide guidance to junior engineers where needed. Core Data Engineering Strong programming proficiency in Java (preferred) or Python. Hands on experience with at least one of: Kafka, Flink, Spark (Flink/Kafka preferred for streaming). Solid understanding of stream processing concepts (e.g., event time, state, backpressure). Understanding of software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms, ideally AWS, but Azure/GCP also acceptable. Understanding of distributed compute, large scale data systems, and performance considerations. DevOps & Engineering Practices Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins etc.). Infrastructure as Code (Terraform preferred). Experience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other Requirements Minimum 3 years' experience working on data engineering or large scale data solutions. Comfortable working in Agile delivery teams. Strong communication skills and ability to collaborate with technical and non technical stakeholders. Desirable Experience in client facing or consulting environments. Professional cloud or data engineering certifications. Experience mentoring or supporting junior engineers. Background in designing or operating real time, low latency systems.
21/06/2026
Full time
Data Engineer Role: Data Engineer Location: Newcastle Upon Tyne Salary: TBC - Depending on experience Levels: Senior Analyst, Specialist Hybrid Working: 3 days per week in our Newcastle, Cobalt business park office Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) and declaration of being a British or EU passport holder or hold Indefinite Leave to remain within the UK at the point of application. Role Overview As a Data Engineer, you will design, build, and maintain scalable data solutions that enable analytics, AI, and operational insights. You'll work alongside client and internal teams to create robust data pipelines, ensure data reliability, and support cloud based architectures that power intelligent decision making. Key Responsibilities Data Pipeline Development Build, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark. Develop and support real time streaming pipelines and event driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using AWS managed services (e.g., Kinesis, MSK, Lambda, Glue). Data Architecture & Standards Contribute to data modelling, data architecture best practices, and modern patterns (e.g., medallion architecture). Ensure data quality, lineage, governance, and security controls are applied consistently. DevOps & Deployment Deploy and maintain data applications using CI/CD tooling (Azure DevOps, GitHub Actions, Jenkins). Use Infrastructure as Code (e.g., Terraform, CloudFormation) to manage cloud environments. Work with container technologies such as Docker and Kubernetes based workloads. Collaboration Work closely with analytics, ML/AI, and product teams to deliver clean, well structured datasets. Participate in code reviews and internal knowledge sharing sessions. Provide guidance to junior engineers where needed. Core Data Engineering Strong programming proficiency in Java (preferred) or Python. Hands on experience with at least one of: Kafka, Flink, Spark (Flink/Kafka preferred for streaming). Solid understanding of stream processing concepts (e.g., event time, state, backpressure). Understanding of software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms, ideally AWS, but Azure/GCP also acceptable. Understanding of distributed compute, large scale data systems, and performance considerations. DevOps & Engineering Practices Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins etc.). Infrastructure as Code (Terraform preferred). Experience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other Requirements Minimum 3 years' experience working on data engineering or large scale data solutions. Comfortable working in Agile delivery teams. Strong communication skills and ability to collaborate with technical and non technical stakeholders. Desirable Experience in client facing or consulting environments. Professional cloud or data engineering certifications. Experience mentoring or supporting junior engineers. Background in designing or operating real time, low latency systems.
Bolton Join our Data Fabric Services team in our Information Systems department as a Senior Data Engineer working across all directorates: Engineering, Simulation, Test, Production, Quality, Supply Chain, MRO, and Corporate Functions. Salary: Circa £55,000 depending on experience Dynamic (hybrid) working: 2 days per week on-site due to workload classification Security Clearance: British Citizen or a Dual UK national with British citizenship Restrictions and/or limitations relating to nationality and/or rights to work may apply. As a minimum and after offer stage, all successful candidates will need to undergo HMG Basic Personnel Security Standard checks (BPSS), which are managed by the MBDA Personnel Security Team. What we can offer you: Company bonus: Up to £2,500 (based on company performance and will vary year to year) Pension: maximum total (employer and employee) contribution of up to 14% Overtime: opportunity for paid overtime Flexi Leave: Up to 15 additional days Flexible working: We welcome applicants who are looking for flexible working arrangements Enhanced parental leave: offers up to 26 weeks for maternity, adoption and shared parental leave -enhancements are available for paternity leave, neonatal leave and fertility testing and treatments Facilities: Fantastic site facilities including subsidised meals, free car parking and much more The opportunity In this role you will design enterprise-wide data and BI solutions brought together from varied sources - business data, simulators, missile test systems, shop-floor machines - and then turning them into a governed, value-generating asset. Key Responsibilities Capture needs and deliver end-to-end data solutions across technical and business domains. Build scalable ETL/ELT and streaming pipelines from simulators, HIL/SIL benches, MES/SCADA, ERP, and PLM. Architect data lakes, warehouses, lakehouses, and time-series stores. Develop Power BI analytics for self-service, KPI monitoring, and executive reporting. Define data models, governance, quality, lineage, and security aligned with defence requirements (ITAR/EAR, cybersecurity). Drive DataOps: CI/CD, monitoring, CaaS - Container as a Service - integration model on hybrid/on-prem environments. Hard Skills Experience in data engineering, ideally aerospace/defence or industrial sectors. ETL/ELT tools (Airflow, Azure, Microsoft SSIS), streaming (Spark, Kafka). Strong Python and SQL; C++, C#, or MATLAB a plus. Databases: PostgreSQL, SQL Server, Oracle, Snowflake, Iceberg, TimescaleDB. Data Platform Capabilities: Low-Code No-Code Data Science solutions (Dataiku, Knime), Data Virtualisation (Dataiku, Ab Initio, Starburst), Data Visualisation (Power BI, DAX, Tableau) T/OT integration, Industry 4.0. DevOps/DataOps: Git, Docker, Kubernetes, CI/CD. Awareness of DO-178C, ISO 27001, MOD guidelines appreciated. Soft Skills Transverse mindset Autonomy and ownership Strong collaboration across multidisciplinary international teams Pragmatic problem-solving Our company: Peace is not a given, Freedom is not a given, Sovereignty is not a given MBDA is a leading defence organisation. We are proud of the role we play in supporting the Armed Forces who protect our nations. We partner with governments to work together towards a common goal, defending our freedom. We are proud of our employee-led networks, examples include: Gender Equality, Pride, Menopause Matters, Parents and Carers, Armed Forces, Ethnic Diversity, Neurodiversity, Disability and more We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process. Follow us on LinkedIn (MBDA), X Instagram (MBDA_UK) and Glassdoor or visit our MBDA Careers website for more information.
20/06/2026
Full time
Bolton Join our Data Fabric Services team in our Information Systems department as a Senior Data Engineer working across all directorates: Engineering, Simulation, Test, Production, Quality, Supply Chain, MRO, and Corporate Functions. Salary: Circa £55,000 depending on experience Dynamic (hybrid) working: 2 days per week on-site due to workload classification Security Clearance: British Citizen or a Dual UK national with British citizenship Restrictions and/or limitations relating to nationality and/or rights to work may apply. As a minimum and after offer stage, all successful candidates will need to undergo HMG Basic Personnel Security Standard checks (BPSS), which are managed by the MBDA Personnel Security Team. What we can offer you: Company bonus: Up to £2,500 (based on company performance and will vary year to year) Pension: maximum total (employer and employee) contribution of up to 14% Overtime: opportunity for paid overtime Flexi Leave: Up to 15 additional days Flexible working: We welcome applicants who are looking for flexible working arrangements Enhanced parental leave: offers up to 26 weeks for maternity, adoption and shared parental leave -enhancements are available for paternity leave, neonatal leave and fertility testing and treatments Facilities: Fantastic site facilities including subsidised meals, free car parking and much more The opportunity In this role you will design enterprise-wide data and BI solutions brought together from varied sources - business data, simulators, missile test systems, shop-floor machines - and then turning them into a governed, value-generating asset. Key Responsibilities Capture needs and deliver end-to-end data solutions across technical and business domains. Build scalable ETL/ELT and streaming pipelines from simulators, HIL/SIL benches, MES/SCADA, ERP, and PLM. Architect data lakes, warehouses, lakehouses, and time-series stores. Develop Power BI analytics for self-service, KPI monitoring, and executive reporting. Define data models, governance, quality, lineage, and security aligned with defence requirements (ITAR/EAR, cybersecurity). Drive DataOps: CI/CD, monitoring, CaaS - Container as a Service - integration model on hybrid/on-prem environments. Hard Skills Experience in data engineering, ideally aerospace/defence or industrial sectors. ETL/ELT tools (Airflow, Azure, Microsoft SSIS), streaming (Spark, Kafka). Strong Python and SQL; C++, C#, or MATLAB a plus. Databases: PostgreSQL, SQL Server, Oracle, Snowflake, Iceberg, TimescaleDB. Data Platform Capabilities: Low-Code No-Code Data Science solutions (Dataiku, Knime), Data Virtualisation (Dataiku, Ab Initio, Starburst), Data Visualisation (Power BI, DAX, Tableau) T/OT integration, Industry 4.0. DevOps/DataOps: Git, Docker, Kubernetes, CI/CD. Awareness of DO-178C, ISO 27001, MOD guidelines appreciated. Soft Skills Transverse mindset Autonomy and ownership Strong collaboration across multidisciplinary international teams Pragmatic problem-solving Our company: Peace is not a given, Freedom is not a given, Sovereignty is not a given MBDA is a leading defence organisation. We are proud of the role we play in supporting the Armed Forces who protect our nations. We partner with governments to work together towards a common goal, defending our freedom. We are proud of our employee-led networks, examples include: Gender Equality, Pride, Menopause Matters, Parents and Carers, Armed Forces, Ethnic Diversity, Neurodiversity, Disability and more We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process. Follow us on LinkedIn (MBDA), X Instagram (MBDA_UK) and Glassdoor or visit our MBDA Careers website for more information.
Company DescriptionDepop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. With a community of over 35 million users, Depop is on a mission to make fashion circular, redefining fashion consumption. Founded in 2011, the company is headquartered in London, with offices in New York and Manchester, and in 2021 became a wholly-owned subsidiary of Etsy. Find out more at mission is to make fashion circular and to create an inclusive environment where everyone is welcome, no matter who they are or where they're from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users. We're proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We're continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have.If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to . For any other non-disability related questions, please reach out to our Talent Partners.Job DescriptionDepop is looking for a versatile Senior Machine Learning Scientist to join our Search & Ranking team in the UK. As part of the team you will work alongside a Product Manager, Backend Engineers and other ML Scientists playing a key role in building innovative models to power Depop's search engine and ranking across the app.Responsibilities:You will:Research, design and deliver ML solutions to take on problems within the search & discovery space:Learning-to-rank modelsVector search & embedding modelsetc.Understand requirements from various partners across the business, designing machine learning solutions to address business problems, such as:How can we surface relevant results for this search?How can we show users personalised results in real time?What is the right price for this user?Set up and conduct large-scale experiments to test hypotheses and drive product developmentKeep up to date with pioneering research, contribute to Machine Learning groups, and apply new techniques for NLP, image processing, etc.Participate in team ceremonies (follow the agile cadence, technical whiteboarding sessions, product road mapping, etc)QualificationsSkills and experienceSignificant experience (3+ years) working as a Data Scientist, with a track record of delivering models to solve industry-scale problemExperience with experiment design and conducting A/B testsProficiency in Python, with the ability to write production-grade code and a good understanding of data engineering & MLOpsSolid understanding of machine learning concepts, familiarity working with common frameworks such as sci-kit-learn, TensorFlow, or PyTorchCollaborative and humble great teammate with an ability to work wimulti-functionalnal teams, including technical and non-technical stakeholdersPassion for learning new skills and staying up-to-date with ML algorithmsBonus pointsExperience with Databricks and PySparkExperience with deep learning & large language modelsExperience with traditional, semantic, and hybrid search frameworks (e.g. Elasticsearch)Experience working with AWS or another cloud platform (GCP/Azure)Additional InformationHealth + Mental WellbeingPMI and cash plan healthcare access with BupaSubsidised counselling and coaching with Self SpaceCycle to Work scheme with options from Evans or the Green Commute InitiativeEmployee Assistance Programme (EAP) for 24/7 confidential supportMental Health First Aiders across the business for support and signpostingWork/Life Balance:25 days annual leave with option to carry over up to 5 days1 company-wide day off per quarterImpact hours: Up to 2 days additional paid leave per year for volunteeringFully paid 4 week sabbatical after completion of 5 years of consecutive service with Depop, to give you a chance to recharge or do something you love.Flexible Working: MyMode hybrid-working model with Flex, Office Based, and Remote options role dependantAll offices are dog-friendlyAbility to work abroad for 4 weeks per year in UK tax treaty countriesFamily Life:18 weeks of paid parental leave for full-time regular employeesIVF leave, shared parental leave, and paid emergency parent/carer leaveLearn + Grow:Budgets for conferences, learning subscriptions, and moreMentorship and programmes to upskill employeesYour Future:Life Insurance (financial compensation of 3x your salary)Pension matching up to 6% of qualifying earningsDepop Extras:Employees enjoy free shipping on their Depop sales within the UK.Special milestones are celebrated with gifts and rewards!
20/06/2026
Full time
Company DescriptionDepop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. With a community of over 35 million users, Depop is on a mission to make fashion circular, redefining fashion consumption. Founded in 2011, the company is headquartered in London, with offices in New York and Manchester, and in 2021 became a wholly-owned subsidiary of Etsy. Find out more at mission is to make fashion circular and to create an inclusive environment where everyone is welcome, no matter who they are or where they're from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users. We're proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We're continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have.If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to . For any other non-disability related questions, please reach out to our Talent Partners.Job DescriptionDepop is looking for a versatile Senior Machine Learning Scientist to join our Search & Ranking team in the UK. As part of the team you will work alongside a Product Manager, Backend Engineers and other ML Scientists playing a key role in building innovative models to power Depop's search engine and ranking across the app.Responsibilities:You will:Research, design and deliver ML solutions to take on problems within the search & discovery space:Learning-to-rank modelsVector search & embedding modelsetc.Understand requirements from various partners across the business, designing machine learning solutions to address business problems, such as:How can we surface relevant results for this search?How can we show users personalised results in real time?What is the right price for this user?Set up and conduct large-scale experiments to test hypotheses and drive product developmentKeep up to date with pioneering research, contribute to Machine Learning groups, and apply new techniques for NLP, image processing, etc.Participate in team ceremonies (follow the agile cadence, technical whiteboarding sessions, product road mapping, etc)QualificationsSkills and experienceSignificant experience (3+ years) working as a Data Scientist, with a track record of delivering models to solve industry-scale problemExperience with experiment design and conducting A/B testsProficiency in Python, with the ability to write production-grade code and a good understanding of data engineering & MLOpsSolid understanding of machine learning concepts, familiarity working with common frameworks such as sci-kit-learn, TensorFlow, or PyTorchCollaborative and humble great teammate with an ability to work wimulti-functionalnal teams, including technical and non-technical stakeholdersPassion for learning new skills and staying up-to-date with ML algorithmsBonus pointsExperience with Databricks and PySparkExperience with deep learning & large language modelsExperience with traditional, semantic, and hybrid search frameworks (e.g. Elasticsearch)Experience working with AWS or another cloud platform (GCP/Azure)Additional InformationHealth + Mental WellbeingPMI and cash plan healthcare access with BupaSubsidised counselling and coaching with Self SpaceCycle to Work scheme with options from Evans or the Green Commute InitiativeEmployee Assistance Programme (EAP) for 24/7 confidential supportMental Health First Aiders across the business for support and signpostingWork/Life Balance:25 days annual leave with option to carry over up to 5 days1 company-wide day off per quarterImpact hours: Up to 2 days additional paid leave per year for volunteeringFully paid 4 week sabbatical after completion of 5 years of consecutive service with Depop, to give you a chance to recharge or do something you love.Flexible Working: MyMode hybrid-working model with Flex, Office Based, and Remote options role dependantAll offices are dog-friendlyAbility to work abroad for 4 weeks per year in UK tax treaty countriesFamily Life:18 weeks of paid parental leave for full-time regular employeesIVF leave, shared parental leave, and paid emergency parent/carer leaveLearn + Grow:Budgets for conferences, learning subscriptions, and moreMentorship and programmes to upskill employeesYour Future:Life Insurance (financial compensation of 3x your salary)Pension matching up to 6% of qualifying earningsDepop Extras:Employees enjoy free shipping on their Depop sales within the UK.Special milestones are celebrated with gifts and rewards!
Principal Platform Security EngineerApplyremote type: Hybridlocations: York: Lisbon: Londontime type: Full timeposted on: Posted Todayjob requisition id: R Job Type: Permanent Build a brilliant future with Hiscox Position : Principal Platform Security Engineer, London MarketAs a senior and influential member of the London Platform Engineering Chapter, the Principal Platform Security Engineer will set direction and lead by example in maturing our platform security practices. You will guide multiple Innovation squads and Engineering Chapters, driving cloud-first adoption and championing secure-by-design initiatives.You will be an integral member of a Chapter spanning Platform, DevOps, and Site Reliability Engineers, and a core contributor to a Platform Engineering squad focused on continuous improvement across our cloud and on-premises platforms. You will raise engineering standards through automation, reliable design, and pragmatic governance, helping to deliver smarter, more cost-effective, and faster solutions that are reusable across squads.With security embedded across all squads, you will provide visible leadership to strengthen our platform security posture. You will influence priorities, drive the change needed to embed modern DevOps and security ways of working, and ensure teams have the patterns, tooling, and guidance to succeed.As the chapter grows, this role also offers the opportunity to take on people leadership responsibilities, including day-to-day management of third-party security engineers and partner resources. Key Responsibilities Coach and mentor chapter members, and support the Head of Platform Engineering with overall chapter management, particularly across partner resources. Design, implement, and automate security controls and security testing within the SDLC. Lead application security practices, ensuring secure design and build, and coordinate effectively between engineering and security teams. Apply Security-as-Code principles by providing training, creating reusable patterns, and establishing best practices for teams. Support the investigation and future implementation of agentic workflows and agents, ensuring proposed solutions are secure-by-design and comply with Hiscox AI governance. Respond swiftly to new and emerging security threats and vulnerabilities, investigate suspected attacks, and help manage security incidents, including post-incident reviews to identify root causes, implement solutions, and prevent recurrence. Produce clear, actionable security reporting for senior leadership Act as the primary point of contact for security-related inquiries across London Market technology and change initiatives, coordinating with Group, other Business Units, and Cyber teams to advance security practices across Hiscox. Influence key architectural decisions early, balancing business requirements, budgets, security, and resilience. Partner with squads to take solutions from proof of concept (PoC) through to a production-ready platform. Build and maintain secure Azure and GCP infrastructure across all environments using Azure DevOps Pipelines and Terraform. Oversee and coach squads on intra-day deployment mechanisms, advocating for cloud-informed improvements that increase security, reliability, and delivery speed. Build and maintain monitoring and alerting at all levels (infrastructure, application, and data), ensuring actionable signals and secure operational practices. Person Specification : Mandatory skillset: 5+ years' DevOps/Platform Engineering experience delivering solutions in Azure and/or GCP. Full stack application and infrastructure solution design, ensuring robust security controls, high availability, and operational resilience throughout. Working knowledge of vulnerability and compliance management (scanning through to remediation), patch management, endpoint protection/anti-malware, and access control management (e.g., IAM/PAM), including driving findings to closure. Working knowledge of threat modelling and risk assessment, applied to cloud architectures and CI/CD pipelines to guide secure design and prioritised risk treatment. Experience with AppSec tooling, including CI/CD integration, tuning to reduce noise, and triaging results with engineers to prioritise remediation and prevent regressions. Strong leadership skills. You will help lead the wider technology and change teams to improve our DevOps and Security maturity by educating others and delegating responsibilities across your chapter, other engineering chapters, and Group IT teams. Experience with Terraform, and platform solutions. Experience working on solutions with integrations between GCP and Azure. Knowledge of Cloud native, microservices and containerised systems. To have a strong desire for continuous improvement and an Agile way of working. Ideally in addition: Knowledge of the insurance and London Market ecosystem; Lloyd's market experience is particularly valuable. Proven, hands-on software delivery experience, including platform engineering and/or build, release, and deployment engineering using modern DevOps practices. Experience delivering and operating technology in regulated environments, with a strong understanding of controls, audit expectations, and evidence-based compliance. Able to clearly explain the processes, patterns, and tooling used to ensure quality, stability, performance, scalability, secure deployment, maintainability, and effective documentation. Broad awareness of major cloud providers and services, with curiosity to evaluate and adopt capabilities that improve security, reliability, and cost efficiency. Proactive and improvement-focused, challenging the status quo and driving automation and simplification wherever it adds value. Strong delivery focus, able to prioritise effectively and deliver outcomes in a fast-paced environment with shifting demands. Able to operate effectively in a small, high-impact team while collaborating across a wider product/engineering organisation. Excellent communication and stakeholder-management skills, able to influence at all levels and present complex topics clearly. Comfortable working in ambiguity and adapting quickly as priorities, technology, and threats evolve. Up-to-date knowledge of security practices, processes, and tooling, with the judgement to apply emerging approaches pragmatically. Why Hiscox? This is a fantastic opportunity to join Hiscox during a time of focused growth where you will have the remit to make a real difference.At Hiscox we care about our people. We hire the best people for the job and we're committed to diversity and creating a truly inclusive culture, which we believe drives success. Work with amazing people and be part of a unique culture Why work here?If you want to help build a brilliant future; work with amazing people; be part of a unique company culture; and, of course, enjoy great employee benefits that take care of your mental and physical wellbeing, come and join us. Get in touchIf this is your first time visiting our career site and you wish to stay in touch please select the 'Introduce yourself' button on the top right. This will allow us to contact you with suitable vacancies. If you are a returning prospect and wish to view our current vacancies please Search for Jobs using the link on the top right. About usWe're a global, specialist insurer headquartered in Bermuda and listed on the London Stock Exchange. With 3,000 employees and 32 offices in 12 countries we're a business with lots of opportunity for people with talent, spark and lots of ambition. If you want to build a great career with a company that prioritises strong values - such as integrity and courage - where our people always pull together to do the right thing for each other and our customers, then we'd love to hear from you.
20/06/2026
Full time
Principal Platform Security EngineerApplyremote type: Hybridlocations: York: Lisbon: Londontime type: Full timeposted on: Posted Todayjob requisition id: R Job Type: Permanent Build a brilliant future with Hiscox Position : Principal Platform Security Engineer, London MarketAs a senior and influential member of the London Platform Engineering Chapter, the Principal Platform Security Engineer will set direction and lead by example in maturing our platform security practices. You will guide multiple Innovation squads and Engineering Chapters, driving cloud-first adoption and championing secure-by-design initiatives.You will be an integral member of a Chapter spanning Platform, DevOps, and Site Reliability Engineers, and a core contributor to a Platform Engineering squad focused on continuous improvement across our cloud and on-premises platforms. You will raise engineering standards through automation, reliable design, and pragmatic governance, helping to deliver smarter, more cost-effective, and faster solutions that are reusable across squads.With security embedded across all squads, you will provide visible leadership to strengthen our platform security posture. You will influence priorities, drive the change needed to embed modern DevOps and security ways of working, and ensure teams have the patterns, tooling, and guidance to succeed.As the chapter grows, this role also offers the opportunity to take on people leadership responsibilities, including day-to-day management of third-party security engineers and partner resources. Key Responsibilities Coach and mentor chapter members, and support the Head of Platform Engineering with overall chapter management, particularly across partner resources. Design, implement, and automate security controls and security testing within the SDLC. Lead application security practices, ensuring secure design and build, and coordinate effectively between engineering and security teams. Apply Security-as-Code principles by providing training, creating reusable patterns, and establishing best practices for teams. Support the investigation and future implementation of agentic workflows and agents, ensuring proposed solutions are secure-by-design and comply with Hiscox AI governance. Respond swiftly to new and emerging security threats and vulnerabilities, investigate suspected attacks, and help manage security incidents, including post-incident reviews to identify root causes, implement solutions, and prevent recurrence. Produce clear, actionable security reporting for senior leadership Act as the primary point of contact for security-related inquiries across London Market technology and change initiatives, coordinating with Group, other Business Units, and Cyber teams to advance security practices across Hiscox. Influence key architectural decisions early, balancing business requirements, budgets, security, and resilience. Partner with squads to take solutions from proof of concept (PoC) through to a production-ready platform. Build and maintain secure Azure and GCP infrastructure across all environments using Azure DevOps Pipelines and Terraform. Oversee and coach squads on intra-day deployment mechanisms, advocating for cloud-informed improvements that increase security, reliability, and delivery speed. Build and maintain monitoring and alerting at all levels (infrastructure, application, and data), ensuring actionable signals and secure operational practices. Person Specification : Mandatory skillset: 5+ years' DevOps/Platform Engineering experience delivering solutions in Azure and/or GCP. Full stack application and infrastructure solution design, ensuring robust security controls, high availability, and operational resilience throughout. Working knowledge of vulnerability and compliance management (scanning through to remediation), patch management, endpoint protection/anti-malware, and access control management (e.g., IAM/PAM), including driving findings to closure. Working knowledge of threat modelling and risk assessment, applied to cloud architectures and CI/CD pipelines to guide secure design and prioritised risk treatment. Experience with AppSec tooling, including CI/CD integration, tuning to reduce noise, and triaging results with engineers to prioritise remediation and prevent regressions. Strong leadership skills. You will help lead the wider technology and change teams to improve our DevOps and Security maturity by educating others and delegating responsibilities across your chapter, other engineering chapters, and Group IT teams. Experience with Terraform, and platform solutions. Experience working on solutions with integrations between GCP and Azure. Knowledge of Cloud native, microservices and containerised systems. To have a strong desire for continuous improvement and an Agile way of working. Ideally in addition: Knowledge of the insurance and London Market ecosystem; Lloyd's market experience is particularly valuable. Proven, hands-on software delivery experience, including platform engineering and/or build, release, and deployment engineering using modern DevOps practices. Experience delivering and operating technology in regulated environments, with a strong understanding of controls, audit expectations, and evidence-based compliance. Able to clearly explain the processes, patterns, and tooling used to ensure quality, stability, performance, scalability, secure deployment, maintainability, and effective documentation. Broad awareness of major cloud providers and services, with curiosity to evaluate and adopt capabilities that improve security, reliability, and cost efficiency. Proactive and improvement-focused, challenging the status quo and driving automation and simplification wherever it adds value. Strong delivery focus, able to prioritise effectively and deliver outcomes in a fast-paced environment with shifting demands. Able to operate effectively in a small, high-impact team while collaborating across a wider product/engineering organisation. Excellent communication and stakeholder-management skills, able to influence at all levels and present complex topics clearly. Comfortable working in ambiguity and adapting quickly as priorities, technology, and threats evolve. Up-to-date knowledge of security practices, processes, and tooling, with the judgement to apply emerging approaches pragmatically. Why Hiscox? This is a fantastic opportunity to join Hiscox during a time of focused growth where you will have the remit to make a real difference.At Hiscox we care about our people. We hire the best people for the job and we're committed to diversity and creating a truly inclusive culture, which we believe drives success. Work with amazing people and be part of a unique culture Why work here?If you want to help build a brilliant future; work with amazing people; be part of a unique company culture; and, of course, enjoy great employee benefits that take care of your mental and physical wellbeing, come and join us. Get in touchIf this is your first time visiting our career site and you wish to stay in touch please select the 'Introduce yourself' button on the top right. This will allow us to contact you with suitable vacancies. If you are a returning prospect and wish to view our current vacancies please Search for Jobs using the link on the top right. About usWe're a global, specialist insurer headquartered in Bermuda and listed on the London Stock Exchange. With 3,000 employees and 32 offices in 12 countries we're a business with lots of opportunity for people with talent, spark and lots of ambition. If you want to build a great career with a company that prioritises strong values - such as integrity and courage - where our people always pull together to do the right thing for each other and our customers, then we'd love to hear from you.
