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For Companies At a Glance
- Tasks: Design and optimise cloud-based data platforms and reporting capabilities.
- Company: Global manufacturing leader in high-quality equipment with a focus on data and analytics.
- Benefits: Salary up to £75,000, remote work, and career development opportunities.
- Why this job: Join a dynamic team and work with cutting-edge technologies like Microsoft Fabric and Power BI.
- Qualifications: Experience in data engineering, Python, and Power BI required.
- Other info: Be part of a growing international function with excellent mentorship opportunities.
The predicted salary is between 45000 - 105000 £ per year.
Overview
I am seeking an experienced Senior BI Developer 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. Alongside the 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
- Experience working with Infor M3 ERP systems
What’s on Offer
- Salary of £75,000
- 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
This is just a brief overview of the opportunity. To learn more, simply apply with your CV and we’ll be in touch to discuss the role in more detail.
Senior BI Developer in Peterborough employer: Nigel Frank
Contact Detail:
Nigel Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior BI Developer in Peterborough
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups or webinars, and don’t be shy about asking for introductions. The more people you know, the better your chances of landing that Senior BI Developer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best work with Microsoft Fabric and Power BI. This could be a game-changer during interviews, as it gives potential employers a tangible look at what you can do.
✨Tip Number 3
Prepare for those interviews! Research common BI Developer interview questions and practice your answers. Be ready to discuss your experience with ETL/ELT processes and how you've tackled challenges in past projects.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, we’re here to support you every step of the way!
We think you need these skills to ace Senior BI Developer in Peterborough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior BI Developer role. Highlight your experience with Microsoft Fabric, Python, and Power BI. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific projects where you've designed or optimised data pipelines or developed Power BI reports. This gives us a clear picture of your hands-on experience and how you can contribute to our team.
Keep It Clear and Concise: When writing your application, be clear and concise. Use bullet points for easy reading and make sure to focus on your relevant experience. We appreciate straightforward applications that get to the point!
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 hear from you!
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.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled challenges in data engineering, especially when it comes to developing ETL/ELT processes or optimising Power BI reports. Use specific examples to illustrate your thought process and the impact of your solutions.
✨Demonstrate Leadership and Mentorship
Since this role involves guiding other developers, think about times you've mentored colleagues or led a project. Highlight your ability to set development standards and ensure best practices in data governance, as this will show you're ready for a senior position.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's data strategy, team dynamics, and future projects. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.