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Power bi engineer

Glasgow (Glasgow City)
Head Resourcing
Bi engineer
Posted: 24 November
Offer description

Salary: £50,000 - 62,000 per year Requirements:

* We are seeking candidates who meet the following requirements:
* Required Certifications:
* - PL-300: Power BI Data Analyst Associate
* - DP-600: Fabric Analytics Engineer Associate
* Skills & Experience:
* - 3-5+ years of experience in building enterprise Power BI datasets and dashboards.
* - Strong DAX and semantic modeling expertise (including calc groups, conformed dimensions, and role-playing dimensions).
* - Proficient SQL skills and comfortable working with Databricks Gold-layer tables.
* - Proven experience in optimizing dataset performance (specifically aggregations, incremental refresh, and DQ/Import).
* - Familiarity with Git-based modeling workflows and PR reviews using Tabular Editor.
* - Excellent design intuition, with an eye for clean layouts, drill paths, and KPI logic.
* Nice to Have:
* - Experience with Python for automation or ad-hoc preparation; familiarity with PySpark.
* - Understanding of Lakehouse patterns, Delta Lake, and metadata-driven pipelines.
* - Experience with Unity Catalog / Purview for lineage and governance.
* - RLS/OLS implementation experience.
Responsibilities:
* In this role, you will be responsible for the following tasks:
* Semantic Modeling:
* - Utilize PBIP and Git for building and maintaining enterprise-level datasets that are fully version-controlled.
* - Use Tabular Editor 3 for DAX, metadata modeling, calculation groups, and object governance.
* - Manage branching, pull requests, and releases through Azure DevOps.
* Lakehouse-Aligned Reporting:
* - Design and develop semantic models solely on top of curated Gold Databricks tables.
* - Collaborate with Data Engineering on schema design and contract-first modeling.
* - Ensure consistent dimensional modeling aligned with the enterprise Bus Matrix.
* High-Performance Power BI Engineering:
* - Optimize performance through aggregations, composite models, incremental refresh, and DQ/Import strategies.
* - Fine-tune Databricks SQL Warehouse queries for enhanced speed and cost efficiency.
* - Monitor PPU capacity performance, refresh reliability, and dataset health.
* Governance, Security, and Standards:
* - Implement RLS/OLS, establish naming conventions, and define KPIs and calculation 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:
* - Utilize Power BI Deployment Pipelines for moving content from Dev to UAT and then to Production.
* - Enforce semantic CI/CD patterns using PBIP, Git, and Tabular Editor.
* - Build reusable, certified datasets and dataflows to support scalable self-service BI.
* Adoption, UX & Collaboration:
* - Design intuitive dashboards that provide a consistent user experience across various business functions.
* - Support BI adoption through training, documentation, and best-practice guidance.
* - Utilize telemetry to track usage and performance, improving the overall user experience.
Technologies:
* Azure
* CI/CD
* Databricks
* DevOps
* Git
* Support
* Matrix
* Power BI
* Python
* PySpark
* SQL
* Security
* Unity
* UX UI Design
* Cloud
* GameDev

More:

This exclusive opportunity is with a leading UK consumer brand located in Glasgow and requires 3-4 days onsite. We are on the lookout for a Power BI specialist who is enthusiastic about clean, governed data and high-performance semantic models. You will play a pivotal role in transforming our reporting platform, which utilizes Azure and Databricks, with Power BI positioned atop a fully curated Gold Layer. This position is designed for professionals who are keen to take ownership of the creation of high-quality datasets and dashboards that support various departments within the company, turning trusted Lakehouse data into actionable insights which drive our operations every day. If you're excited about being part of a modern, forward-thinking BI engineering team, we encourage you to apply.

last updated 48 week of 2025

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