Data Engineers

Department for Work and Pensions (DWP); City of Westminster; On-site; GBP 65,000 - 90,000; Full time

Job summary

DWP's Digital Group is seeking experienced Data Engineers to join the Management Information (MI) team in London. You will help shape the DWP Data Engineering Strategy for MI products and services, working with modern cloud environments alongside legacy on-premises technologies in a fast-paced portfolio of analytical products.

You will build scalable data pipelines, translate stakeholder requirements into back-end data processes, and maintain comprehensive documentation in Confluence to promote

Responsibilities

• Building and maintaining scalable data engineering solutions that power analytical reporting and MI needs.
• Collaborating with stakeholders across DWP to gather and translate requirements into scalable back-end data processes.
• Maintaining technical documentation and Confluence spaces to improve transparency and onboarding.
• Mentoring junior data engineers and sharing technical expertise to support knowledge sharing.
• Reviewing code to ensure quality, maintainability, and adherence to coding standards.

Job description

DWP's Digital Group is looking for experienced Data Engineers to fill post in Management Information (MI) team. The MI team provides strategic capabilities for MI reporting and data visualisations across DWP. Working with modern cloud environments alongside legacy on-premises technologies, you'll play a key role in developing the DWP Data Engineering Strategy for MI products and services. Successful candidates will join a fast-paced environment with a wide portfolio of products for analytical use and a challenging delivery roadmap. You'll focus on a variety of tasks, supporting platform live service and delivering high quality, data transformation products.

• Building and maintain scalable data engineering solutions that power analytical reporting, working in line with DWP's engineering standards.
• Collaborating with stakeholders across DWP to gather and clarify requirements where needed and translate them into scalable back-end data processes that support MI reporting needs.
• Maintaining comprehensive technical documentation and collaborative workspaces in Confluence to improve transparency, knowledge sharing, and onboarding.
• Working closely with other junior data engineers to provide guidance, share technical expertise, and actively support ongoing knowledge sharing.
• Reviewing code developed by fellow engineers to ensure quality, maintainability, and adherence to DWP coding standards.