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Data Engineer (MS Fabric)

United Kingdom · Job Posted February 18, 2026
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Job Description

Dreams is implementing Microsoft Dynamics 365 Finance & Operations and building a modern data and reporting layer using Microsoft Fabric and Medallion architecture. The project focuses on accelerating the extraction and transformation of ERP data into clean, business-ready datasets that support operational and financial reporting, with Excel as the primary consumption tool. The team works in a pragmatic, delivery-focused environment, closely collaborating with business analysts and end users to ensure data is reliable, accessible, and valuable from day one.

Job Responsibility

  • Extract data from Microsoft Dynamics 365 Finance & Operations into Microsoft Fabric
  • Work directly with D365 F&O tables, data entities, and the underlying data model
  • Understand how transactions flow through the system (sales orders, inventory, finance, procurement, etc.)
  • Interpret business logic embedded in F&O rather than relying solely on exported data
  • Troubleshoot issues where the root cause sits inside F&O rather than in Fabric
  • Collaborate with our F&O functional and technical teams using the correct terminology and system understanding
  • Build and maintain data pipelines using Medallion architecture (Bronze / Silver / Gold)
  • Transform transactional ERP data into business-ready datasets
  • Expose structured datasets natively for Excel consumption
  • Support creation of simple, column-based Excel reports
  • Work closely with business analysts and end users to understand reporting needs
  • Collaborate with Dreams’ internal team within their Azure environment
  • Ensure secure and reliable access to data

Requirements

  • 5+ years of experience in data engineering, with a strong focus on Microsoft Azure–based data platforms
  • Hands-on experience with Microsoft Fabric and D365 Finance & Operations
  • Strong data engineering background (SQL, transformations, data modeling)
  • Experience working with transactional systems (ERP, finance, operations data)
  • Solid understanding of Medallion / layered data architecture
  • Experience exposing datasets for Excel-based consumption
  • Comfortable working in a business-facing environment
  • Strong English communication skills

Nice to have

  • Broader Azure data platform experience (Synapse, ADF, etc.)
  • Power BI experience
  • Previous involvement in ERP implementations
  • Ability to travel to the UK for initial onboarding or workshops
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