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# Data Engineer

- **Company:** Burns Sheehan
- **Location:** Manchester, UK (Remote available)
- **Experience:** Experienced
- **Salary:** £60,000.0 - £70,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Software Debugging, Python (Programming Language), Microsoft Data Access Components, Microsoft SQL Server, Power BI, SQL Stored Procedures, SQL Server Integration Services, Transact-SQL, SAP Integration Solutions, Oracle Erp, Data Pipelines
- **Published:** August 13, 2026
- **Apply:** https://www.careerjet.co.uk/jobad/gb969641cd8926379b04a1ca8a668c2ffe

## About the Role

We're working with a well-established UK business that is investing heavily in modernising its data and technology estate, and they're looking for a hands-on Data Engineer to join the team.
This is not a Lead Data Engineer role and there's no people management involved. They're looking for someone with a few years of solid SQL Server and ETL experience who can take ownership of an existing data environment while developing further into cloud data engineering.
You'll initially help maintain a business-critical Microsoft data estate, working with SQL Server, SSIS, stored procedures and ETL pipelines, but the longer-term opportunity is where things get particularly interesting.
The business is moving further into AWS and is embarking on a major Oracle ERP transformation, which will ultimately replace much of the legacy environment. You'll have the chance to work alongside experienced Data Engineers and progressively build your skills across cloud ETL, Python and modern data platforms.
What they're looking for:

 * 3-5+ years' experience in Data Engineering / ETL
 * Strong SQL Server and T-SQL skills
 * Experience working with SSIS packages
 * Confidence debugging stored procedures and existing data pipelines
 * Good understanding of ETL concepts
 * Comfortable taking ownership of BAU and existing systems
 * An interest in developing further into AWS / cloud data engineering



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