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- Tasks: Transform messy data into reliable datasets and build robust data pipelines.
- Company: Leading UK recruitment company with a focus on innovation.
- Benefits: Remote work, competitive contract, and potential for extension.
- Why this job: Join a dynamic team and make a real impact in data engineering.
- Qualifications: 4+ years of Data Engineering experience, strong SQL and M-Query skills.
- Other info: Opportunity to work with Microsoft Fabric in a supportive environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading recruitment company in the UK is seeking a hands-on Data Engineer to take ownership of a Microsoft Fabric data platform. The successful candidate will turn fragmented data into trusted datasets, stabilise messy data environments, and build production-grade pipelines.
Ideal applicants will have over 4 years of Data Engineering experience, including strong skills in SQL and M-Query, as well as hands-on experience with Microsoft Fabric.
The role supports remote work and has an initial contract of 6-12 months, with potential for extension.
Data Engineer: Fabric + OneLake, Remote UK in London employer: Experis UK
Contact Detail:
Experis UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Fabric + OneLake, Remote UK in London
✨Tip Number 1
Network like a pro! Reach out to fellow Data Engineers or industry professionals on LinkedIn. A friendly chat can lead to insider info about job openings that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Microsoft Fabric and SQL. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common Data Engineering questions. We recommend practising your answers to technical scenarios, especially around data pipelines and handling messy data environments.
✨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 about their job search!
We think you need these skills to ace Data Engineer: Fabric + OneLake, Remote UK in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Microsoft Fabric and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Problem-Solving Skills: In your application, mention specific challenges you've faced in previous roles and how you tackled them. We’re looking for someone who can turn messy data environments into trusted datasets, so let us know how you’ve done this before!
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 don’t miss out on any important updates. Plus, we love seeing applications come in through our own platform!
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 used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Data Transformation Skills
Prepare examples of how you've turned messy data into trusted datasets in previous roles. Highlight your experience with Microsoft Fabric and be ready to explain how you would approach stabilising a fragmented data environment.
✨Be Ready for Practical Tests
Expect to face practical assessments during the interview. Practice building production-grade pipelines or solving data-related problems to demonstrate your hands-on experience and problem-solving abilities.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and the specific challenges they face. This shows your genuine interest in the role and helps you understand how you can contribute effectively.
