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- Tasks: Design and deliver scalable data pipelines and analytics models using Microsoft Fabric.
- Company: Join a growing team in a dynamic tech environment.
- Benefits: Competitive salary, private health scheme, and 25 days annual leave.
- Why this job: Be part of an innovative team shaping the future of data engineering.
- Qualifications: Experience in data engineering and familiarity with Azure ecosystem.
The predicted salary is between 65000 - 70000 £ per year.
We're looking for a passionate and driven Senior Data Engineer to join a growing team, building a modern Microsoft Fabric data platform. This is a hands‑on role designing and delivering scalable data pipelines, Lakehouse solutions, and analytics models within the Azure ecosystem.
What's on Offer:
- Salary: £65,000-£70,000
- Private Health Scheme
- 25 Days' Annual Leave
Senior Data Engineer - Microsoft Fabric - Remote in Leeds employer: Roc Search GmbH
Contact Detail:
Roc Search GmbH Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Microsoft Fabric - Remote in Leeds
✨Tip Number 1
Network like a pro! Reach out to current employees at the company or in similar roles on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your previous work with data pipelines and analytics models. This hands-on evidence can really set us apart from the competition.
✨Tip Number 3
Ace the interview by practising common questions related to Microsoft Fabric and Azure. We should also be ready to discuss our problem-solving approach and how we tackle challenges in data engineering.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else.
We think you need these skills to ace Senior Data Engineer - Microsoft Fabric - Remote in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Microsoft Fabric and Azure. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about data engineering and how you can contribute to our team. Keep it engaging and personal – we love a good story!
Showcase Your Technical Skills: We’re looking for hands-on experience, so be sure to mention specific tools and technologies you’ve worked with. Highlight any scalable data pipelines or analytics models you've built – we want to know what you can bring to the table!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at Roc Search GmbH
✨Know Your Tech Stack
Make sure you’re well-versed in Microsoft Fabric and the Azure ecosystem. Brush up on your knowledge of data pipelines, Lakehouse solutions, and analytics models. Being able to discuss specific projects or experiences where you've used these technologies will really impress the interviewers.
✨Showcase Problem-Solving Skills
Prepare to discuss how you've tackled challenges in previous roles. Think of examples where you designed scalable solutions or optimised existing processes. This will demonstrate your hands-on experience and ability to think critically under pressure.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the team’s current projects, the company culture, or future goals for the data platform. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
✨Practice Your Communication Skills
As a Senior Data Engineer, you'll need to explain complex concepts clearly. Practice articulating your thoughts on technical topics in a way that’s easy to understand. This will help you connect with non-technical stakeholders during the interview.