Data Engineer

• Apply before 11:55 pm on Sunday 1st November 2026
• Locations: Birmingham, Blackpool, Coventry, Darlington, Leeds, London, Manchester, Newcastle Upon Tyne and Sheffield.
• Pay of up to £75,664, 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance.

DWP. Digital with Purpose.

Are you an experienced Senior Data Engineer with strong skills in Azure and data pipelines and experience leading technical teams?

Join DWP's Data Engineering community and help build the data platforms and services that support millions of people across the UK.

You'll lead the design and delivery of modern cloud-based data solutions, ensuring high-quality, trusted data is available to drive better decision-making across the organisation while supporting engineering standards and developing others within the team.

We have opportunities across three areas of DWP Digital:

Skills England - delivering data-driven insights and digital services to support skills development, workforce planning and technical education (London, Coventry, Darlington, Sheffield and Leeds).

Data & Analytics - within the Architecture and Engineering Technical Oversight Team, providing technical assurance and governance across data platforms, products and services (Blackpool, Manchester, Leeds and Newcastle).

Technology Services - delivering the secure cloud, connectivity, network and security foundations that underpin DWP's digital services (Manchester, Blackpool, Newcastle, Leeds and Birmingham).

Successful candidates will be matched to the most suitable business area, with team and location details discussed during the recruitment process.

What skills, knowledge and experience will you need?

• Proven experience designing and delivering complex ETL/ELT pipelines, managing priorities and driving quality outcomes.
• Ability to communicate complex technical concepts clearly to technical and non-technical audiences, including senior stakeholders.
• Strong understanding of cloud and distributed data processing, designing scalable, resilient and maintainable data solutions.
• Proven ability to analyse complex requirements, produce clear specifications and define effective testing approaches.
• Experience leading the resolution of complex data, platform and pipeline issues across strategic, tactical and operational levels.
• Strong knowledge of migrating and transforming data from legacy and on-premise systems to cloud platforms.
• Expertise in automating ETL/ELT pipelines using PySpark and Spark SQL across Azure-based data environments.

You and your role

As a Data Engineer, you will design build and enhance scalable ETL/ELT pipelines using Python and PySpark, ensuring data solutions are reliable, efficient and aligned with engineering best practice.