Senior Data Engineer
| Posting date: | 17 June 2025 |
|---|---|
| Salary: | £55,557 to £73,517 per year |
| Additional salary information: | This salary contains a digital allowance. For a full breakdown, see salary information. |
| Hours: | Full time |
| Closing date: | 29 June 2025 |
| Location: | LS2 7UA |
| Company: | Government Recruitment Service |
| Job type: | Permanent |
| Job reference: | 406142/3 |
Summary
DWP is the UK's largest government department. We help people into work and make payments worth £195bn a year to support the most vulnerable people in our society.
DWP have big ambitions to become a data driven organisation through delivery of our data strategy. This is a key role leading our data engineering delivery in our Data & Analytic data platform and operations team.
You will be responsible for providing technical direction for data engineering across our Business Audit platform, ensuring we provide reliable, trusted, interoperable data to meet our user needs across DWP, in other government departments.
This includes providing technical patterns and guidance, building our data engineering capability and ensuring our data products and pipelines are built using the right techniques in how we ingest, prepare (through ETL processing), store and use data using the most appropriate method e.g. balancing low-code and cloud native loosely coupled components.
As Senior Data Engineer you will:
- Be responsible for leading the Business Audit team in collecting upstream user technical requirements that need to be implemented as part of platform migrations and configuration.
- Have responsibility for data engineers within the Business Audit team and will provide direction for data engineering across the team.
- Work closely with teams across digital group and wider Data & Analytics, including our data practice, to ensure we adopt consistent approaches and provide continuous development for our data engineers.
- Provide data engineering guidance and direction to the Audit team who work in multi-disciplined agile teams.
- Provide the vision and strategic direction for Audit data engineering, ensuring initiatives are aligned to organisation strategy and objectives.
- Leading the Audit team though large-scale data and platform transformation and/or migration programmes, ensuring best practice and building capability within the team as the transformation occurs. Set direction of change and proactively identify key issues.
- Delivering migration to modern data platforms including Data Warehouse, Lakehouse, and implementing cross-government/industry Hub and Spoke architecture patterns.
- Lead the redevelopment of existing data journeys, providing leadership to improve, performance, resilience, or to account for system, tooling or platform change on code frameworks and practices.
- Provide hands-on leadership to drive successful outcomes while mentoring team members.
- Provide technical leadership, setting engineering team and community direction to ensure the products that are developed conform to data standards and strategic principals
- Own and lead the redesign of existing SAS ETL data pipelines, for example to improve performance, resilience, or to account for system or platform change. Disseminate knowledge and best practice to wider team and Platform and Operations.
- Champion data engineering ETL coding standards across Platform and Operations, ensuring consistent best coding practice and developments are brought into engineering teams and common codes standards factor into ETL pipelines.
- Provide expert review and scrutinise the coding approach of other data engineers to advise on good practice, including optimisation of performance and to ensure reliability across a variety of toolsets used in cloud, distributed, and on-prem platforms.
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