Experis UK

Senior Analytics Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Analytics Engineer on a 3-6 month contract, Inside IR35, focused on Microsoft Fabric. Key skills required include Power BI, DAX, SQL, and PySpark. Strong communication with C-Suite is essential.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
January 28, 2026
🕒 - Duration
3 to 6 months
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🏝️ - Location
Unknown
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
Edinburgh, Scotland, United Kingdom
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🧠 - Skills detailed
#AI (Artificial Intelligence) #BI (Business Intelligence) #Documentation #Microsoft Power BI #Dataflow #"ETL (Extract #Transform #Load)" #PySpark #DAX #Security #Semantic Models #Spark (Apache Spark) #Observability #Python #Metadata #SQL (Structured Query Language) #Deployment
Role description
My client are looking for a Senior Analytics Engineer to join their team on an initial 3-6 month contract, Inside IR35. They are moving towards a data-driven culture, and this individual will help lead their Fabric-First analytics layer - designing reusable semantic models, optimising Dataflows Gen2 and Lakehouse/Warehouse tables, and co-creating their core management reporting suite. Key Responsibilities • Lead the build of governed, high performance semantic models (Direct Lake/Import/Composite) and certified Data sets • Engineer upstream transformations with PySpark/SQL/notebooks; minimise DAX-heavy shaping • Co-design the KPI Taxonomy and management reporting suite with Execs and functional leaders • Optimise refresh, performance and deployment;enforce standards, security and documentation • Mentor engineers and drive best practice across the analytics community • Prepare models for CoPilot & Fabric AI: business-friendly names, synonyms metadata and consistent and measures. What Our Client Is Looking For • Strong Microsoft Fabric experience; expert Power BI model design and performance tuning. • Excellent Power Query and QL/T-SQL; advanced DAX for measures. • Confidence engaging from C-Suite to analysts; clear, out-come focused communication • Nice to have: Python/PySpark, Purview/DataHUB, observability tooling, Direct Lake Optimisation. You'll shape the semantic layer that shapes the companies decision making, enabling AI-assisted self-service analytics with Co-Pilot and delivering trusted management reporting suite used at every level of the business.