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- Tasks: Design ETL pipelines and optimise workflows using Microsoft Fabric and Power BI.
- Company: Global manufacturing organisation with a focus on modern cloud-based data solutions.
- Benefits: Competitive salary of £70,000 and flexible remote work from anywhere in the UK.
- Why this job: Join a cutting-edge team and make an impact in data engineering.
- Qualifications: Strong experience in Python and data engineering practices required.
The predicted salary is between 70000 - 70000 £ per year.
A global manufacturing organisation is seeking a Fabric Data Engineer to support its modern cloud-based data platform. The role involves designing ETL pipelines, optimizing workflows, and utilizing Microsoft Fabric and Power BI for reporting.
Ideal candidates will have strong experience in Python and data engineering practices, while also contributing to governance standards.
This position offers a competitive salary of £70,000 and the flexibility of remote work from anywhere in the UK.
Remote Fabric Data Engineer - Power BI & Lakehouse Lead in England employer: Nigel Frank
Contact Detail:
Nigel Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Fabric Data Engineer - Power BI & Lakehouse Lead in England
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or join relevant groups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ETL pipelines and Power BI reports. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python skills and be ready to discuss data engineering practices. We recommend practising common interview questions and even doing mock interviews with friends.
✨Tip Number 4
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 Remote Fabric Data Engineer - Power BI & Lakehouse Lead in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and data engineering practices. 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 excited about the role and how your background makes you a perfect fit for our team. Let us know how you can contribute to our cloud-based data platform.
Showcase Your Technical Skills: Since this role involves designing ETL pipelines and optimising workflows, make sure to mention any specific tools or technologies you’ve used, especially Microsoft Fabric and Power BI. We love seeing practical examples of your work!
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’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Nigel Frank
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and understand the ins and outs of Microsoft Fabric and Power BI. Be ready to discuss how you've designed ETL pipelines in the past and any challenges you've faced. This will show that you're not just familiar with the tools, but that you can use them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've optimised workflows or improved data processes. Think about a time when you encountered a tricky issue and how you resolved it. This will demonstrate your analytical thinking and ability to contribute to governance standards.
✨Understand the Company’s Needs
Research the global manufacturing organisation and its data platform. Knowing their business model and how they leverage data can help you tailor your answers. Show them that you’re not just looking for a job, but that you’re genuinely interested in helping them succeed.
✨Ask Insightful Questions
Prepare some thoughtful questions to ask at the end of the interview. Inquire about their current data challenges or how they envision the role evolving. This shows that you’re engaged and thinking about how you can add value to their team.