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- Tasks: Own and manage the Microsoft Fabric data platform and reporting environment.
- Company: Join a leading engineering firm focused on data excellence.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Other info: Dynamic role with potential for career advancement in a regulated industry.
- Why this job: Make a real impact by transforming data into actionable insights.
- Qualifications: Strong experience with Microsoft Fabric and Power BI; data engineering skills required.
The predicted salary is between 50000 - 70000 ÂŁ per year.
Standard 8 is partnering with a heavily regulated, engineering-led business looking for someone to take full ownership of its data platform and reporting estate. This is a hands-on role. You’ll sit across engineering, modelling and reporting — building a platform that actually works, not just looks good in a demo.
What you’ll be doing:
- Own Microsoft Fabric end-to-end (Warehouse + Lakehouse)
- Build and manage data pipelines via Azure Data Factory / Fabric
- Keep data flowing cleanly from source systems (including SAP environments)
- Set standards for storage, performance and platform reliability
- Run the reporting environment properly — workspaces, deployments, capacity
- Design robust Power BI semantic models (clean logic, reusable, fast)
- Deliver dashboards, paginated reports and apps people rely on
- Make reporting usable on mobile for operational teams
- Create “golden datasets” to enable proper self-service (without chaos)
- Lock down data properly — RLS, OLS, roles and access control
- Ensure everything meets strict regulatory standards (GDPR, PCI, ITAR)
- Act as the go-to person for the reporting platform
- Train users and push adoption across the business
- Move teams away from spreadsheets and into governed reporting
What you need:
- Strong hands-on experience with Microsoft Fabric (Warehouse + Lakehouse)
- Proven track record building data pipelines (ADF / Fabric)
- Deep Power BI experience (modelling, DAX, admin, performance)
- Solid grasp of data modelling and transformation (Power Query, Python)
- Experience working with ERP/MRP data (messy, high-volume, real-world)
- Confidence handling financial data where accuracy matters
Nice to have:
- SAP Datasphere exposure
- PowerShell / R for automation or analysis
The profile:
- Proper data engineer who understands reporting — not one or the other
- Comfortable owning a platform, not just contributing to one
- Able to challenge stakeholders and cut through bad requirements
- Brings structure, standards and a bit of backbone
Other:
- Degree helpful, not essential
- Power BI certification a bonus
- Must be eligible for UK SC Clearance
Locations
Microsoft Fabric BI Developer - Contract in Guildford, Surrey employer: Standard 8
Contact Detail:
Standard 8 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Microsoft Fabric BI Developer - Contract in Guildford, Surrey
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Microsoft Fabric BI Developer gig.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with Microsoft Fabric and Power BI. We recommend including case studies or examples of data pipelines you've built. This will give potential employers a taste of what you can do!
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge. We suggest practising common questions related to data modelling and transformation. Being able to discuss your hands-on experience confidently will set you apart from the competition.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you. Plus, applying directly can sometimes give you an edge over other candidates. Let’s get you that job!
We think you need these skills to ace Microsoft Fabric BI Developer - Contract in Guildford, Surrey
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your hands-on experience with Microsoft Fabric and data pipelines, as well as your Power BI skills. We want to see how you can own the platform and deliver results!
Showcase Your Projects: Include specific examples of projects where you've built data pipelines or designed Power BI models. We love seeing real-world applications of your skills, so don’t hold back on the details that show your expertise!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to describe your experience and how it aligns with the role. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Standard 8
✨Know Your Microsoft Fabric Inside Out
Make sure you’re well-versed in Microsoft Fabric, especially the Warehouse and Lakehouse components. Be ready to discuss your hands-on experience with building data pipelines using Azure Data Factory and how you've kept data flowing smoothly from various source systems.
✨Showcase Your Power BI Expertise
Prepare to demonstrate your deep knowledge of Power BI, including modelling, DAX, and performance optimisation. Bring examples of robust semantic models you've designed and be ready to explain how they’ve improved reporting efficiency.
✨Understand Regulatory Standards
Familiarise yourself with GDPR, PCI, and ITAR regulations as they relate to data handling. Be prepared to discuss how you’ve ensured compliance in previous roles, particularly when dealing with sensitive financial data.
✨Be Ready to Train and Lead
Since this role involves pushing adoption across the business, think about how you can effectively train users and move teams away from spreadsheets. Share any past experiences where you’ve successfully led training sessions or initiatives that improved reporting practices.