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Data Engineer

Job in Exeter, Devon, EX2, England, UK
Listing for: Sonata Software
Full Time position
Listed on 2026-09-14
Job specializations:
  • IT/Tech
    Data Engineering, Business Intelligence
Salary/Wage Range or Industry Benchmark: 75000 - 105000 GBP Yearly GBP 75000.00 105000.00 YEAR
Job Description & How to Apply Below

Sonata Software, with over $1.2 Billion Revenue, is a leading AI-first Modernization Engineering company, powered by our unique Platformation TM framework. Our 6400+ AI Engineers are helping enterprises transform from systems to intelligent business platforms leveraging partner ecosystem to drive speed, efficiency and growth. Our bouquet of Modernization Engineering Services with AI
-first approach cuts across Cloud, Data, AI, Dynamics, Test Automation, and Managed Services.

Exp Range : 12
-14 Years

Project duration : 6 months with possible extension

Hybrid: 2 days work from Office

Rydon Lane

Exeter

Primary

Skills:

Data Bricks, Power BI, Fabric

  • Knowledge in Microsoft BI Stack
  • Expertise in Power query and DAX queries
  • Strong experience in designing and developing Power BI dashboards
  • Strong in SQL knowledge
  • Developing visual reports, KPI scorecards, and dashboards using Power BI desktop
  • Follow and enhance BI standards and best practices across the team
  • Ensure optimal end user performance by establishing overall system performance
  • Capable of implementing row-level security for organizational data
  • Knowledge in creation of Power BI gateway for datasets published in Power BI service
Microsoft Fabric Capabilities

Experience working with Microsoft Fabric components such as:

  • Lakehouse
  • Data Warehouse
  • Dataflows Gen2
  • Ability to design end-to-end data solutions using Fabric’s unified analytics platform
  • Experience integrating Power BI with Fabric semantic models
  • Understanding of One Lake architecture and best practices for data organization and security
  • Familiarity with Real-Time Analytics and Direct Lake mode (preferred)
  • Knowledge of Fabric capacity management and performance optimization
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