MS Fabric Data Engineer

• Help develop and establish modern data engineering solutions
• Use SQL, T-SQL, Spark SQL, PySpark and Python for data ingestion, transformation, optimisation and modelling, including converting structured and unstructured source data into validated Delta tables
• Integrate third-party APIs and structured and unstructured data sources into Microsoft Fabric
• Use Power BI for semantic models, data preparation and performance

Technologies:

• Azure
• CI/CD
• DevOps
• Fabric
• Power BI
• Python
• PySpark
• SQL
• Spark
• Cloud

• Strong hands-on experience with Microsoft Fabric, designing and building secure, scalable data engineering solutions
• Experience with core Microsoft Fabric features, including OneLake, Lakehouses, Warehouses, Data Pipelines, Dataflows Gen2, Notebooks, Eventstreams and Eventhouses
• Experience using SQL, T-SQL, Spark SQL, PySpark and Python
• Experience using Power BI for semantic models, data preparation and performance
• Experience integrating third-party APIs and structured and unstructured data sources into Microsoft Fabric, including working with external suppliers and Microsoft partners
• Experience migrating legacy data solutions or establishing new data engineering solutions
• Advantageous: Microsoft Certified Fabric Data Engineer Associate, Medallion architecture, Delta Lakes, Azure Data Factory, DevOps, infrastructure as code (IaC), CI/CD, Kusto Query Language (KQL), Microsoft Purview, Key Vault, GenAI and Agile delivery

We are an established, growing business with a proven track record in our industry. We are hiring a permanent, full-time Microsoft Fabric Data Engineer for a role based near Derbyshire, with an ideal start in November or December 2026. The salary is up to £40,000, depending on experience, plus benefits. Our hybrid arrangement is three days working remotely and two days in the office each week; the first one to two months will be full-time in the office to help you get to know the role and team. Benefits include a pension, 25 days of holiday plus bank holidays, BUPA healthcare, life insurance and more.