Senior Power BI Engineer

Senior Power BI Report Engineer (Azure / Databricks) Glasgow based only | 4 days onsite | No visa restrictions please Are you a Senior Power BI specialist who loves clean, governed data and high-performance semantic models? Do you want to work with a business that's rebuilding its entire BI estate the right way-proper Lakehouse architecture, curated Gold tables, PBIP, Git, and end-to-end governance? If so, this is one of the most modern, forward-thinking Power BI engineering roles in Scotland. Our Glasgow-based client is transforming its reporting platform using Azure + Databricks, with Power BI sitting on top of a fully curated Gold Layer. They develop everything using PBIP + Git + Tabular Editor 3, and semantic modelling is treated as a first-class engineering discipline. This is your chance to own the creation of high-quality datasets and dashboards used across Operations, Finance, Sales, Logistics and Customer Care-turning trusted Lakehouse data into insights the business relies on every day. ? Why This Role Exists To turn clean, curated Gold Lakehouse data into trusted, enterprise-grade Power BI insights. You'll own semantic modelling, dataset optimisation, governance and best-practice delivery across a modern BI ecosystem. ? What You'll Do Semantic Modelling with PBIP + Git Build and maintain enterprise PBIP datasets fully version-controlled in Git. Use Tabular Editor 3 for DAX, metadata modelling, calc groups and object governance. Manage branching, pull requests and releases via Azure DevOps. Lakehouse-Aligned Reporting (Gold Layer Only) Develop semantic models exclusively on top of curated Gold Databricks tables. Work closely with Data Engineering on schema design and contract-first modelling. Maintain consistent dimensional modelling aligned to the enterprise Bus Matrix. High-Performance Power BI Engineering Optimise performance: aggregations, composite models, incremental refresh, DQ/Import strategy. Tune Databricks SQL Warehouse queries for speed and cost efficiency. Monitor PPU capacity performance, refresh reliability and dataset health. Governance, Security & Standards Implement RLS/OLS, naming conventions, KPI definitions and calc groups. Apply dataset certification, endorsements and governance metadata. Align semantic models with lineage and security policies across the Azure/Databricks estate. Lifecycle, Release & Best Practice Delivery Use Power BI Deployment Pipelines for Dev ? UAT ? Prod releases. Enforce semantic CI/CD patterns with PBIP + Git + Tabular Editor. Build reusable, certified datasets and dataflows enabling scalable self-service BI. Adoption, UX & Collaboration Design intuitive dashboards with consistent UX across multiple business functions. Support BI adoption through training, documentation and best-practice guidance. Use telemetry to track usage, performance and improve user experience. ? What We're Looking For Required Certifications To meet BI engineering standards, candidates must hold: PL-300: Power BI Data Analyst Associate DP-600: Fabric Analytics Engineer Associate Skills & Experience Commercial years building enterprise Power BI datasets and dashboards. Strong DAX and semantic modelling expertise (calc groups, conformed dimensions, role-playing dimensions). Strong SQL skills; comfortable working with Databricks Gold-layer tables. Proven ability to optimise dataset performance (aggregations, incremental refresh, DQ/Import). Experience working with Git-based modelling workflows and PR reviews via Tabular Editor. Excellent design intuition-clean layouts, drill paths, and KPI logic. Nice to Have Python for automation or ad-hoc prep; PySpark familiarity. Understanding of Lakehouse patterns, Delta Lake, metadata-driven pipelines. Unity Catalog / Purview experience for lineage and governance. RLS/OLS implementation experience