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# Data Engineer

- **Company:** Harnham
- **Location:** Birmingham, UK
- **Experience:** Starter
- **Salary:** £50,000.0 - £60,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Continuous Integration, Data as a Services, Information Engineering, Extract Transform Load (ETL), Data Transformation, Data Security, Data Systems, Database Development, Microsoft Data Access Components, Software Deployment, Data Pipelines
- **Published:** July 27, 2026
- **Apply:** https://www.reed.co.uk/jobs/data-engineer/57163612

## About the Role

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.

## Description

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.


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