| Description: |
? 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 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
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.
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