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- Tasks: Transform messy data into reliable datasets using Microsoft Fabric and advanced SQL.
- Company: Join a forward-thinking tech company focused on data innovation.
- Benefits: Remote work, competitive pay, and opportunities for professional growth.
- Why this job: Make a real impact by stabilising data environments and building resilient pipelines.
- Qualifications: 4+ years in Data Engineering with hands-on Microsoft Fabric experience.
- Other info: Dynamic role with potential for contract extension and career advancement.
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 in London employer: Experis UK
Contact Detail:
Experis UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Microsoft Fabric Data Engineer in London
✨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 and how you tackle messy data environments.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering challenges, particularly around SQL and data quality checks. We recommend practising problem-solving scenarios that demonstrate your ability to handle schema drift and source changes.
✨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 in London
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 ownership of data issues and driven resolutions. We love a proactive operator, so show us how you’ve tackled challenges head-on!
Apply Through Our Website: Don’t forget to apply through our website for immediate consideration! It’s the best way for us to get your application and start the conversation about how you can join our team.
How to prepare for a job interview at Experis UK
✨Know Your Data Engineering Stuff
Make sure you brush up on your Data Engineering skills, especially with Microsoft Fabric and OneLake. Be ready to discuss your hands-on experience and any real projects you've worked on. They’ll want to hear about how you’ve tackled messy data environments and built resilient pipelines.
✨Show Off Your SQL Skills
Since strong SQL and M-Query/Power Query skills are a must, prepare to demonstrate your expertise. You might be asked to solve a problem or optimise a query on the spot, so practice common scenarios and be ready to explain your thought process.
✨Talk About Data Quality Controls
Be prepared to discuss how you've implemented data quality checks in your previous roles. Share specific examples of validations, reconciliations, and monitoring frameworks you've set up, as this will show your understanding of maintaining analytics-ready datasets.
✨Emphasise Your Proactive Approach
This role requires someone who is independent and can drive problems through to closure. Share stories that highlight your investigative nature and accountability, especially when dealing with schema drift or source changes. They’ll appreciate a candidate who takes ownership of their work.
