Lead Data Engineer, Data Services and Analytics
| Posting date: | 09 April 2026 |
|---|---|
| Salary: | £455,905 per year |
| Hours: | Full time |
| Closing date: | 21 April 2026 |
| Location: | Sheffield, South Yorkshire |
| Remote working: | Hybrid - work remotely up to 2 days per week |
| Company: | Government Recruitment Service |
| Job type: | Permanent |
| Job reference: | 455905 |
Summary
This is an opportunity to lead a team of data engineers working on complex data pipelines, ingesting and transforming data from/to a variety of sources (email, csv, ODBC/JDBC, JSON, XML, Excel, Avro, Parquet). Data pipelines are primarily developed in AWS using a variety of tools and languages including AWS S3, AWS Athena, AWS Redshift, AWS Glue, java (Docker / Spring).
The position requires leading the data engineering development for a team of data engineers working on a legacy Oracle data platform and delivering data integration and data retrieval services using PL-SQL. A complex transformation programme is delivering the change of people, process and technology to redesign and transform the processing of the Oracle data outputs onto the strategic data platform. This role would ideally have experience of Oracle and PL-SQL, with the aptitude to move to cloud native tooling such as AWS Athena, python, S3. Additionally, a key priority is to manage the people change to ensure the team stability and business continuity throughout the transformation.
The position requires leading the data engineering development for a team of data engineers working on a legacy Oracle data platform and delivering data integration and data retrieval services using PL-SQL. A complex transformation programme is delivering the change of people, process and technology to redesign and transform the processing of the Oracle data outputs onto the strategic data platform. This role would ideally have experience of Oracle and PL-SQL, with the aptitude to move to cloud native tooling such as AWS Athena, python, S3. Additionally, a key priority is to manage the people change to ensure the team stability and business continuity throughout the transformation.
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