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Senior Data Engineer

Job details
Posting date: 16 October 2025
Salary: £44,720 to £52,130 per year
Additional salary information: National £44,720 - £47,850, (London £48,720 - £52,130) You may be eligible for an additional non-pensionable allowance, pending a Capability and Skills Assessment, with a value of up to £12,680 (location dependent).
Hours: Full time
Closing date: 30 October 2025
Location: Manchester
Company: Government Recruitment Service
Job type: Permanent
Job reference: 433131/3

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Summary

The End User Compute and Collaboration (EUC&C) team develops and delivers a range of Microsoft 365 solutions, including Teams, SharePoint, OneDrive, Power Platform, and Office applications. These tools support collaboration and productivity across the organisation.

Senior Data Engineers lead the design and implementation of complex data flows, connecting operational systems to analytics platforms. In this role, you’ll work with the EUC&C community to identify data sources, engage with analysts and stakeholders, and build robust pipelines that align with business needs through collaboration with Product Owners.

This role is not suitable for part-time working due to business requirements and the nature of the role this is only available for full-time.

The Senior Data Engineer collects, organise and study data to provide business insight. Collaborating with fellow members of the Data Engineering community to set the direction of the service technology and data architecture. The post holder will also mentor more junior members of the team - promoting challenge, collaborating and encouraging an agile approach to working.

Tasks and responsibilities will include:

  • Analysing problems and experimenting with possible solutions to find the underlying causes of issues or discrepancies to identify problems and to assist in the development of innovative solutions.
  • Analyse and report on test activities and results, providing support to data engineers and stakeholders in addressing data analysis challenges.
  • Designing and implementing a data streaming service, including the development of new data models and ETL processes.
  • Applying concepts and principles of conceptual, logical, and physical data modelling and producing relevant and varied data models across multiple subject areas and providing guidance on how to use them.
  • Ensuring the successful delivery of completed data loads for customers, Data Analysts and Data Scientists, troubleshooting where required. 
  • Designing, building and testing data products and solutions that are complex or large scale, through full development, test and deployment lifecycles.

Watch this video to hear from members of the team talking about the projects they work on and their experience of working here.

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