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Senior Data Engineer required to work with a government department. This is an initial 4 month contract (with options to extend), paying £700 per day, inside IR35, hybrid working (2 days per week onsite in London)

Active SC Clearance is required prior to commencing the role.

Summary

You'll join the Performance Team, which is tackling a fundamental challenge in the lack of consistent, meaningful performance measures. Without shared metrics, it's hard to prioritise the right work or lead effectively as a group.

We're developing a modern, user-centred framework for measuring performance and organisational health, covering everything from delivery and finance to people, risk and user satisfaction, and a dashboard for senior leaders to surface these metrics and use them to inform collective decision-making.

We've already built an MVP dashboard in Amazon QuickSight, now in active use. We're now rebuilding it using a flexible, code-first approach and using this team as a testbed for smarter digital delivery, applying product operating model principles, working in lean and cross-functional ways, and embedding AI-native workflows using tools like ChatGPT, GitHub Copilot and agentic assistants.

A key focus for this role will be

• Strengthening our data foundations, reviewing and improving existing pipelines, some of which are still manual, and replacing them with more modern, automated and consistent approaches using our Analytical Platform.
• To reduce the burden on teams to collect and share data, retrieve more from source, and drive better conversations about data quality, completeness and fitness for purpose.
• To see dashboards not just as reporting tools, but as a way to spark a virtuous cycle of improvement, showing the current state of data (even when it's rough), surfacing what matters most, and helping leaders take informed action.

You'll work closely with colleagues across performance, data, digital and portfolio teams to improve how we collect, structure and use data, and you'll be an advocate for data that drives better decisions and more joined-up leadership across the group.

Skills & experience required

• Strong experience designing, building and maintaining data pipelines using modern, cloud-based tools and practices
• Proficiency in Python and SQL for data engineering tasks
• Experience with dbt and a good understanding of data modelling approaches (e.g. star schema, dimensional modelling)
• Familiarity with Airflow or similar orchestration tools
• Comfortable working with AWS services such as Glue and S3, or equivalent cloud infrastructure
• Experience using version control and CI/CD tools like Git and GitHub Actions
• Confident working independently and taking ownership of problems and solutions
• Comfortable engaging directly with stakeholders, both technical and non-technical, to understand needs, share ideas and shape solutions
• Willingness to work closely with users, gather feedback, and iterate quickly to improve products and data quality
• Adaptable, curious, and open to experimenting with new tools, techniques and ways of working, including AI coding assistants and lean, cross-functional approaches

Please apply if you meet the above criteria

Attenti Consulting is acting as an Employment Business in relation to this vacancy.