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Fabric Data Engineer

Job in Winchester, Hampshire County, SO23, England, UK
Listing for: Cyber Security training courses
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 75000 GBP Yearly GBP 75000.00 YEAR
Job Description & How to Apply Below

Senior Data Engineer - Microsoft Fabric

Location:

Hybrid (UK) - Hampshire

Type:
Permanent

Salary:
Up to £75,000

About the Role

We're looking for an experienced Senior Data Engineer with deep expertise in Microsoft Fabric to design and deliver modern cloud data platforms for enterprise clients. This role involves building scalable architectures, optimising data pipelines, and creating high-quality semantic models to support advanced analytics and reporting.

You'll work across Microsoft Fabric, Power BI, and related technologies, enabling organisations to modernise legacy systems and adopt best-practice data engineering patterns. This is a hands‑on, client‑facing role where you'll lead technical conversations and deliver robust, maintainable solutions.

Key Responsibilities
  • Design end‑to‑end data architectures using Medallion (Bronze/Silver/Gold) patterns
  • Build metadata‑driven ingestion pipelines and transformation frameworks
  • Develop advanced PySpark/Spark SQL notebooks for data cleansing and modelling
  • Create production‑ready semantic models and support BI teams
  • Implement governance, security, and CI/CD best practices
  • Engage with clients to translate business requirements into technical solutions
Essential Skills
  • Strong experience with Microsoft Fabric workloads (Lakehouse, Data Factory, Pipelines, Notebooks, Semantic Models)
  • Advanced PySpark/Spark SQL for large‑scale transformations
  • Integration with Dynamics 365, Dataverse, and/or Business Central
  • CI/CD implementation using Azure Dev Ops or Git Hub
  • Solid understanding of dimensional modelling and Power BI optimisation
Desirable
  • Microsoft Fabric certifications
  • Familiarity with Azure services and Power Platform
  • Experience in consultancy environments and large enterprise data estates
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