Data Engineer

Data Engineer, Microsoft Fabric400 to 475 per dayEdinburgh / HybridInside IR35Bright Purple are looking for an experienced Data Engineer to join a major data transformation programme in Edinburgh. This is a hands on contract role, joining at an important point in the transition from a legacy data warehouse to a new Microsoft Fabric environment.

With go live approaching, your initial focus will be on the final stages of the migration, testing outputs, identifying and debugging differences in data, and making the remedial changes required to get the new environment ready for production.

Once live, you will move into post go live support and continued development, building data pipelines and helping deliver the data and reporting requirements across the business.

What we're looking for

• Microsoft Fabric experience is a must have. Candidates should take the time to read all the elements of this job advert carefully Please make your application promptly. You don't need years of experience, but you must have used Fabric on at least one real world commercial project Strong, demonstrable Microsoft Synapse development experience Excellent PySpark and SQL skills Experience building and developing data pipelines Strong data testing, validation and debugging skills Experience working across data warehouse migrations or modernisation projects Power BI experience would be beneficialThe key here is the combination of strong core Microsoft data engineering experience with genuine exposure to Fabric.

We're not looking for a Fabric specialist, but equally, training or self learning alone won't be enough. This is an initial contract offering 400 to 475 per day, Inside IR35, with hybrid working in Edinburgh. If you're a Data Engineer with strong Synapse, PySpark and SQL experience who has already started working commercially with Microsoft Fabric, then please apply today!

Bright Purple is an equal opportunities employer: we are proud to work with clients who share our values of diversity and inclusion in our industry.

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