Data Engineer (Azure)

Harnham - Data and Analytics Recruitment
Nottingham, United Kingdom
Yesterday
£50,000 – £60,000 pa

Salary

£50,000 – £60,000 pa

Posted
3 Sep 2026 (Yesterday)

Data Engineer

Up to £60,000 + Benefits
Birmingham (Hybrid - 2 x a month)

This is a fantastic opportunity to join one of the UK's leading specialist care providers as they embark on a major data transformation journey. You'll play a key role in building a modern Azure-based data platform, taking ownership of end-to-end data engineering projects that will directly support reporting, analytics, self-service data access, and future AI initiatives.

THE COMPANY:

This care provider, delivers long-term, community-based care to individuals. As part of an ongoing digital transformation, they are investing heavily in its data and analytics capabilities to create a scalable, future-proof data estate.

THE ROLE:

You will take ownership of designing and delivering data solutions across a variety of business functions, helping to build a modern Microsoft data platform and support the development of reusable data services.

Key responsibilities include:

  • Designing and implementing end-to-end ETL/ELT pipelines from requirements gathering through to production deployment.
  • Developing and maintaining scalable data models, transformations, and data products using modern Azure technologies.
  • Optimising data pipelines to ensure high levels of performance, data quality, consistency, and availability.
  • Supporting the development of an enterprise ontology model to improve understanding and relationships across data domains.
YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

  • Microsoft Azure data engineering technologies.
  • Designing and developing ETL/ELT data pipelines.
  • SQL development and data modelling.
  • CI/CD processes and deployment best practices.
THE BENEFITS:

You will receive a salary of up to £60,000 depending on experience, alongside a comprehensive benefits package and the opportunity to play a key role in a large-scale data transformation programme within a highly impactful organisation.

HOW TO APPLY:

Please register your interest by sending your CV toMolly Bird via the apply link on this page.

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