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Fabric Data Engineer

Job in Winchester, Hampshire County, SO23, England, UK
Listing for: Tenth Revolution Group
Full Time position
Listed on 2025-12-23
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing, Data Science Manager
Salary/Wage Range or Industry Benchmark: 75000 GBP Yearly GBP 75000.00 YEAR
Job Description & How to Apply Below
Position: Fabric Data Engineer (Permanent)
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 optimisationDesirable

Microsoft Fabric certifications
Familiarity with Azure services and Power Platform
Experience in consultancy environments and large enterprise data estates
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