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Permanent

Senior Data Engineer - West Yorkshire - £80k

Exalto Consulting
Bradford
money-bag Negotiable
Posted: 02 October 2026 (Today)
Closing date: 01 November 2026
Ref: 225680858

Senior Data Engineer Microsoft Fabric

Location: West Yorkshire
Working pattern: Hybrid, 2 days per week onsite
Salary: £70-80k

We are looking for a Senior Data Engineer with strong hands on Microsoft Fabric experience to help design and build a modern data platform supporting analytics, AI and operational use cases.

Microsoft Fabric is a key requirement for this role, so we are looking for someone who has used the platform in a genuine delivery environment rather than someone with only limited exposure.

Key responsibilities

• Design and build end to end ETL and ELT solutions using Microsoft Fabric
• Build scalable data pipelines using Dataflow Gen2 and Fabric Notebooks
• Develop and maintain Lakehouse solutions using Medallion architecture
• Work with SQL, Python, Spark SQL and Delta Lake
• Integrate data from APIs, databases, CRM, ERP and third party platforms
• Support both batch and real time data processing
• Develop semantic models and work with Star Schema and Kimball modelling
• Implement CI/CD and automated deployment of data solutions
• Build monitoring, data quality, lineage and observability into data pipelines
• Work closely with Data Architects, BI teams and wider business stakeholders

Essential experience

• Strong commercial experience with Microsoft Fabric
• Hands on experience with Dataflow Gen2, Fabric Notebooks and Lakehouse architecture
• Strong SQL and Python skills
• Experience with Spark and Spark SQL
• Proven experience designing scalable ETL and ELT pipelines
• Data Lake and Delta Lake experience
• Experience integrating data from multiple structured and unstructured sources
• Good understanding of CI/CD, DevOps and modern data engineering practices
• Able to work onsite in West Yorkshire 2 days per week

Experience with Semantic Models, DAX, Kimball modelling, Microsoft Fabric certifications such as DP 700, and data governance would also be beneficial.

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