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- Tasks: Transform clean data into powerful Power BI insights and create high-quality dashboards.
- Company: Join a leading UK consumer brand revolutionising its BI platform in Glasgow.
- Benefits: Enjoy competitive salary, flexible onsite days, and opportunities for professional growth.
- Why this job: Be at the forefront of modern BI engineering with cutting-edge technologies.
- Qualifications: 3-5 years of Power BI experience, strong DAX skills, and Git familiarity required.
- Other info: Collaborative environment with a focus on innovation and best practices.
The predicted salary is between 36000 - 60000 £ per year.
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 is 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
- 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.
PowerBI Engineer in Glasgow employer: Head Resourcing
Contact Detail:
Head Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land PowerBI Engineer in Glasgow
✨Tip Number 1
Network like a pro! Reach out to your connections in the Power BI community or related fields. Attend meetups, webinars, or even local events in Glasgow to meet potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best Power BI projects. Use GitHub to share your code and demonstrate your expertise in semantic modelling and dataset optimisation. This will make you stand out when applying through our website.
✨Tip Number 3
Prepare for interviews by brushing up on your DAX and SQL skills. Be ready to discuss how you've optimised dataset performance in past roles. Practising common interview questions can help you feel more confident and ready to impress.
✨Tip Number 4
Don’t forget to follow up! After an interview, send a thank-you email to express your appreciation for the opportunity. It shows your enthusiasm for the role and keeps you fresh in their minds as they make their decision.
We think you need these skills to ace PowerBI Engineer in Glasgow
Some tips for your application 🫡
Show Off Your Power BI Skills: Make sure to highlight your experience with Power BI, especially your expertise in semantic modelling and DAX. We want to see how you've turned clean data into actionable insights, so share specific examples from your past work!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the skills and experiences mentioned in the job description. We love it when candidates show they understand what we’re looking for and how they fit into our vision.
Keep It Clean and Professional: Your written application should be as polished as the dashboards you create. Use clear language, check for typos, and ensure your formatting is consistent. A well-organised application speaks volumes about your attention to detail!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Head Resourcing
✨Know Your Power BI Inside Out
Make sure you brush up on your Power BI skills, especially around DAX and semantic modelling. Be ready to discuss your experience with PBIP, Git, and Tabular Editor 3, as these are crucial for the role. Prepare examples of how you've optimised dataset performance in past projects.
✨Understand the Business Context
Familiarise yourself with the company’s BI transformation goals and how they align with their operations across Finance, Sales, and Customer Care. This will help you demonstrate how your skills can directly contribute to their objectives during the interview.
✨Showcase Your Collaboration Skills
Since this role involves working closely with Data Engineering and other business functions, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you’ve supported BI adoption through training or documentation.
✨Prepare for Technical Questions
Expect technical questions related to Azure, Databricks, and governance standards. Brush up on your knowledge of RLS/OLS implementation and lifecycle management using Power BI Deployment Pipelines. Being able to articulate your thought process will impress the interviewers.
