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Data Engineer (Azure/Fabric)
Harnham - Data & Analytics RecruitmentOxfordshire, South East England🇬🇧United KingdomPosted 11 Aug 2026
Why This Role Stands Out
Embark on a significant data transformation journey where you'll build a modern Azure data platform and own end-to-end projects, offering excellent career growth and impact. This hybrid role is ideal for a skilled Data Engineer with Azure experience who thrives on designing and optimizing data solutions. Apply now to shape the future of data within a leading specialist care provider.
Quick Overview
Salary
£60k/yr
Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Oxfordshire, South East England, United Kingdom
Posted
2 weeks ago
SQLETLAzure
Job Description
Data Engineer
Up to £60,000 + BenefitsBirmingham (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.
- Microsoft Azure data engineering technologies.
- Designing and developing ETL/ELT data pipelines.
- SQL development and data modelling.
- CI/CD processes and deployment best practices.
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