PowerBI Engineer

Glasgow
6 days ago
Applications closed

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Power BI Report Engineer (Azure / Databricks)

Glasgow based only | 4 days onsite | No visa restrictions please

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

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

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