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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 up to £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 Wales employer: Nigel Frank
Contact Detail:
Nigel Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fabric Data Engineer in Wales
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with professionals 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 tangible look at 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 around ETL/ELT processes and data governance.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Fabric Data Engineer in Wales
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Microsoft Fabric 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 passionate about data engineering and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Technical Skills: Don’t forget to mention your hands-on experience with Python, PySpark, and Power BI. We’re looking for someone who can hit the ground running, so make sure we know what you bring to the table!
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!
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.
✨Get Familiar with Power BI
Since this role involves developing Power BI datasets and reports, make sure you can talk about your experience with it. Bring examples of dashboards you've created and be ready to explain how they supported decision-making in previous roles.
✨Emphasise Team Collaboration
This position requires mentoring and guiding other developers, so be prepared to discuss your experience working in teams. Highlight any leadership roles you've had and how you've contributed to creating a collaborative environment focused on data governance and best practices.