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# MS Fabric Data Engineer

- **Company:** Syntax Consultancy Limited
- **Location:** Derby, UK (Remote available)
- **Salary:** £40,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Cloud Computing, Continuous Integration, Data Cleansing, Data Systems, DevOps, Apache Hive, Python (Programming Language), Power BI, Kusto Query Language, Standard Sql, SQL Databases, Transact-SQL, Azure Data Factory, Apache Spark, Infrastructure as Code (IaC), Microsoft Fabric, Pyspark, Data Pipelines, Key Vault, Web Api
- **Published:** October 22, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5935366519

## About the Role

* 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

## Description

* 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