Summary: The role of Senior Data Engineer involves supporting a significant transformation by delivering a modern data platform with a focus on Microsoft Fabric expertise. This hands-on contract position requires immediate impact through the design and delivery of production-ready data solutions. The role is based in Edinburgh, with a hybrid working arrangement. It is classified as inside IR35 for an initial three-month period, with potential for extension.
Key Responsibilities:
- Build and Design end-to-end Data Pipelines in Microsoft Fabric
- Develop scalable transformations using PySpark/SparkSQL/Notebooks
- Structure data using Lakehouse/Warehouse modelling approaches
- Implement data quality, validation, and monitoring controls
- Optimise pipeline performance and execution reliability
- Document data flows, transformations and dependencies
Key Skills:
- Strong hands-on experience with Microsoft Fabric (OR Databricks)
- Advanced PySpark/Spark SQL
- Strong Python and SQL/T-SQL capability
- Experience with Azure SQL/SQL Managed Instance
- Proven track record delivering end-to-end data pipelines in production
- Experience with Power BI/semantic layer integration (desirable)
- Exposure to Fabric Dataflows Gen2/notebooks (desirable)
- Experience migrating from legacy platforms (desirable)
- Data Governance / metadata tooling (desirable)
Salary (Rate): undetermined
City: Edinburgh
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
Experis are partnering with an organisation who are undertaking a significant transformation and are seeing a Senior Data Engineer with strong Microsoft Fabric expertise to support the delivery of a modern data platform. This role is Inside IR35, and is for an initial 3 months (with the potential to extend past this date). This is a hands-on contract opportunity where you'll be expected to make an immediate impact, designing and delivering production-ready data solutions within a fast-paced environment.
Key Responsibilities
- Build and Design end-to-end Data Pipelines in Microsoft Fabric
- Develop scalable transformations using PySpark/SparkSQL/Notebooks
- Structure data using Lakehouse/Warehouse modelling approaches
- Implement data quality, validation, and monitoring controls
- Optimise pipeline performance and execution reliability
- Document data flows, transformations and dependencies
Required Skills
- Strong hands on experience with Microsoft Fabric (OR Databricks)
- Advanced PySpark/Spark SQL
- Strong Python and SQL/T-SQL capability
- Experience with Azure SQL/SQL Managed Instance
- Proven Track record delivering end-to-end data pipelines in production
Desirable Skills
- Experience with Power BI/semantic layer integration
- Exposure to Fabric Dataflows Gen2/notebooks
- Experience migrating from legacy platforms
- Data Governance / metadata tooling
This role will be based in Edinburgh (2-3 days a week on-site). They are also open to individuals based in the wider Central Belt, however there will still be an expectation to visit the Edinburgh office 1x per week.
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