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- Tasks: Transform messy data into reliable datasets and build resilient data pipelines.
- Company: Join a forward-thinking tech company focused on data innovation.
- Benefits: Remote work, competitive pay, and opportunities for contract extension.
- Why this job: Make a real impact by stabilising data environments and driving analytics.
- Qualifications: 4+ years in Data Engineering with hands-on Microsoft Fabric experience.
- Other info: Dynamic role with potential for growth in a collaborative environment.
The predicted salary is between 36000 - 60000 £ per year.
We’re on the lookout for a hands-on Data Engineer to take ownership of a Microsoft Fabric + OneLake data platform and turn fragmented, unreliable source data into trusted, governed, analytics-ready datasets. This is a delivery-critical role for someone who enjoys stabilising messy data environments, getting to root cause fast, and building resilient, production-grade pipelines that can withstand frequent upstream change.
What you’ll be doing:
- Building and optimising transformations using Advanced SQL plus M-Query / Power Query
- Designing scalable semantic models to enable governed self-service analytics
- Setting up data quality controls (validations, reconciliations, checks) across all layers
- Creating monitoring / alerting / logging to detect issues early and reduce manual fixes
- Troubleshooting failures caused by schema drift / source changes and driving resolution with upstream owners
- Supporting governance and access controls, including Row-Level Security (RLS), lineage, documentation, and certification
What we need from you (non-negotiables):
- 4+ years Data Engineering experience, including 1–2+ years hands-on Microsoft Fabric
- Real project experience with Fabric + OneLake (not just training or POCs)
- Strong experience building production-grade pipelines end to end
- Strong SQL plus M-Query / Power Query transformation skills
- Proven ability to implement data quality checks and/or monitoring frameworks
- Comfortable working in messy data ecosystems with changing/broken upstream sources
- A proactive operator: independent, investigative, accountable, and able to drive problems through to closure
PAYE Contract
Remote – UK Based
Initial 6-12 Months (With Potential Extension)
Please apply for immediate consideration.
Microsoft Fabric Data Engineer employer: Experis UK
Contact Detail:
Experis UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Microsoft Fabric Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who have experience with Microsoft Fabric. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Microsoft Fabric and OneLake. This gives potential employers a tangible look at what you can do, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering challenges, especially around data quality and pipeline stability. We recommend practising your problem-solving skills with real-world scenarios to impress interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and take the initiative to connect directly with us.
We think you need these skills to ace Microsoft Fabric Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Microsoft Fabric and OneLake. We want to see how you've tackled messy data environments and built resilient pipelines, so don’t hold back on those details!
Showcase Your Skills: When writing your application, emphasise your SQL and M-Query skills. We’re looking for someone who can optimise transformations and implement data quality checks, so let us know how you’ve done this in past projects.
Be Proactive: In your cover letter, share examples of how you've taken initiative in previous roles. We love a proactive operator who can drive problems through to closure, so tell us about those times you’ve made a difference!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Experis UK
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and M-Query skills before the interview. Be ready to discuss specific projects where you've built production-grade pipelines using Microsoft Fabric and OneLake. They’ll want to hear about your hands-on experience, so have some examples ready!
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled messy data environments in the past. Think of a few scenarios where you identified root causes of issues and how you resolved them. This role is all about stabilising data, so demonstrating your investigative nature will impress them.
✨Highlight Your Data Quality Experience
Since setting up data quality controls is key for this position, be ready to discuss any frameworks or checks you've implemented in previous roles. Share specific examples of how you ensured data integrity and what tools you used to monitor and alert on data quality issues.
✨Be Proactive and Engaged
During the interview, show that you're an independent operator who takes accountability seriously. Ask insightful questions about their current data challenges and express your enthusiasm for driving problems through to closure. This will demonstrate that you’re not just looking for a job, but are genuinely interested in contributing to their success.
