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- Tasks: Design and optimise cloud-based data platforms and develop Power BI reports.
- Company: Global manufacturing organisation focused on high-quality equipment.
- Benefits: Salary of £70,000, remote work, and career development opportunities.
- Other info: Be a key player in a growing international data and analytics function.
- Why this job: Join a dynamic team and work with cutting-edge data technologies.
- Qualifications: Experience with Microsoft Fabric, Python, and data engineering practices.
The predicted salary is between 70000 - 70000 £ per year.
I am seeking an experienced Data Engineer to support the design, development and optimisation of a modern cloud‑based data platform within a global manufacturing organisation specialising in the production of high‑quality equipment. Sitting within a global data and analytics function, this role is central to managing the data platform and delivering high‑quality reporting capabilities that support operational, financial and strategic decision‑making across multiple international regions. This role is ideal for someone with strong hands‑on experience across modern data engineering practices and cloud data platforms, especially Microsoft Fabric. In addition to core data engineering work, you will contribute to the development of Power BI reporting and semantic models used across global business teams. You will also play a senior role within the BI and data team, helping guide development standards, mentoring developers and ensuring that data solutions are scalable, reliable and aligned with enterprise data governance practices.
Responsibilities
- Design, build and maintain scalable ETL/ELT data pipelines within Microsoft Fabric Lakehouse environments
- Develop and optimise data ingestion/transformation workflows
- Develop Python and PySpark processes for data transformation and large‑scale processing
- Support the development and optimisation of Power BI datasets, reports and dashboards
- Build and maintain scalable semantic data models including dimensional and star schema structures
- Ensure strong data quality, governance and testing standards across all BI and data engineering solutions
Skills and Experience
- Hands‑on expertise with Microsoft Fabric, Lakehouse architecture and Data Pipelines
- Experience developing Python or PySpark solutions for large‑scale data processing
- Understanding of ETL/ELT design patterns, data modelling and modern data platform architecture
- Experience developing Power BI datasets, semantic models and reports
What's on Offer
- Salary of £70,000
- Remote working from anywhere in the UK
- Opportunity to work with modern data platforms including Microsoft Fabric and Power BI
- Career development within a growing international data and analytics function
Fabric Data Engineer in England employer: Nigel Frank
Contact Detail:
Nigel Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fabric Data Engineer in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect on LinkedIn. 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 data engineering projects, especially those involving Microsoft Fabric and Power BI. 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 and scenarios. Practice explaining your past projects and how you've tackled challenges, especially in cloud-based environments.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Fabric Data Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Fabric Data Engineer role. Highlight your hands-on experience with Microsoft Fabric and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific examples of your work with ETL/ELT data pipelines and Power BI reporting. We love seeing real-world applications of your skills, so don’t hold back on sharing your achievements!
Keep It Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read through your experience and skills. We appreciate a well-structured application!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. 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, Lakehouse architecture, and data pipelines. Be ready to discuss your hands-on experience with these technologies, as well as any specific projects you've worked on that showcase your skills in Python or PySpark.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled challenges in data engineering. Think about times when you optimised ETL/ELT processes or improved data quality. This will demonstrate your ability to think critically and adapt in a fast-paced environment.
✨Familiarise Yourself with Power BI
Since this role involves developing Power BI datasets and reports, make sure you can talk confidently about your experience with Power BI. Bring examples of dashboards or reports you've created, and be ready to discuss how you ensure data governance and quality in your work.
✨Be Ready to Mentor and Lead
As a senior member of the BI and data team, you'll need to show that you're not just a great engineer but also a leader. Think about how you've guided others in previous roles, and be prepared to discuss your approach to mentoring and setting development standards.