PowerBI Engineer

Power BI Report Engineer (Azure / Databricks) Glasgow 3-4 days onsite Exclusive Opportunity with a Leading UK Consumer Brand

Are you a 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.
• 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 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

• 3 5+ 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.