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- Tasks: Design ETL/ELT pipelines and develop data workflows using Python and PySpark.
- Company: Global manufacturing organisation with a focus on innovative data solutions.
- Benefits: Remote work from anywhere in the UK and a competitive salary of £70,000.
- Other info: Opportunity to work in a dynamic environment with career growth potential.
- Why this job: Join a forward-thinking team and shape the future of data analytics.
- Qualifications: Hands-on expertise with Microsoft Fabric and Power BI required.
The predicted salary is between 70000 - 70000 £ per year.
A global manufacturing organization is seeking an experienced Data Engineer to support the development of a cloud-based data platform. The role involves designing ETL/ELT pipelines, developing data workflows using Python and PySpark, and ensuring data quality standards. This position allows for remote work from anywhere in the UK and offers a competitive salary of £70,000. Ideal candidates will have hands-on expertise with Microsoft Fabric and Power BI, contributing to a forward-thinking data analytics function.
Remote Fabric Data Engineer - Power BI & Lakehouse Lead in Wales 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 Wales
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or join relevant online communities. 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/ELT pipelines and data workflows. This is your chance to demonstrate your hands-on expertise with Microsoft Fabric and Power BI, making you stand out from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on common data engineering questions and be ready to discuss your experience with Python and PySpark. Practising your responses will help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Remote Fabric Data Engineer - Power BI & Lakehouse Lead in Wales
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ETL/ELT pipelines and tools like Python and PySpark. 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! Use it to explain why you’re passionate about data engineering and how your expertise with Microsoft Fabric and Power BI can contribute to our team. Keep it engaging and personal!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in data quality or workflow development. We love seeing candidates who can think critically and come up with innovative solutions!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see what you bring to the table!
How to prepare for a job interview at Nigel Frank
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Microsoft Fabric, Power BI, and the tools you'll be using like Python and PySpark. Be ready to discuss specific projects where you've implemented these technologies, as this will show your hands-on expertise.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in designing ETL/ELT pipelines or ensuring data quality. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it clear how you tackled issues and what the outcomes were.
✨Understand the Company’s Vision
Research the global manufacturing organisation and understand their goals, especially regarding data analytics. This will help you align your answers with their vision and demonstrate that you're not just looking for any job, but are genuinely interested in contributing to their success.
✨Ask Insightful Questions
Prepare a few thoughtful questions to ask at the end of the interview. Inquire about their current data projects or how they envision the role evolving. This shows your enthusiasm and helps you gauge if the company is the right fit for you.