> Markdown version of [/jobs/ext/3082816-bi-analytics-engineer](https://www.wearedevelopers.com/jobs/ext/3082816-bi-analytics-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # BI Analytics Engineer - **Company:** Datatech - **Location:** Berkshire, UK - **Contract:** Permanent contract - **Skills:** Data Analysis, Data Architecture, Information Engineering, Power BI, SQL Databases, Azure Data Factory, Delivery Pipeline, Microsoft Fabric, Data Analytics, Performance Monitor, Star Schema, Azure Synapse Analytics - **Published:** September 26, 2026 - **Apply:** https://jobsthamesvalley.co.uk/jobs/apply/ats-redirect/?id=2987568439-2 ## About the Role Significant hands on experience productionising Power BI reports and managing live estates. Deep expertise in DAX, dimensional modelling (star schema), and layered data architectures. Demonstrable excellence with SQL Exposure to Microsoft Fabric, Azure Synapse, or Azure Data Factory High technical rigor and diplomatic communication You catch the discrepancies others miss and naturally elevate the team's standards. ## Description Do you take pride in razor sharp metric accuracy and high performance reporting estates? We are working with a long term partner to find an Analytics Engineer to act as the central authority for their Power BI ecosystem. Operating in a hub-and-spoke analytics model, you will bridge domain analysts and data engineering, elevating raw insights into enterprise grade, productionised reporting. What You'll Do Own the Gold Layer: Build and optimize high-performance Power BI semantic models and star-schema architectures within a Unified, AI-powered analytics platform Productionize Reports: Review, refine, and promote reports from domain workspaces (Finance, Financial Crime, Marketing) into central production. Drive Metric Governance: Establish and enforce a company-wide KPI glossary, ensuring total consistency in business metrics. Maximize Performance & Security: Master DAX optimization, implement deployment pipelines, and configure row-level security (RLS). ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany)