At a Glance
- Tasks: Develop and maintain a modern data platform using Microsoft Fabric, Python, and PySpark.
- Company: Leading financial services organisation focused on data and analytics.
- Benefits: £500/day, hybrid role, and opportunities for mentorship and technical leadership.
- Other info: Immediate start with excellent career growth in a collaborative environment.
- Why this job: Shape the future of data platforms while mentoring a talented BI team.
- Qualifications: Experience with Microsoft Fabric, Python, PySpark, and Azure required.
The predicted salary is between 54000 - 66000 £ per year.
Please note - this is a Hybrid role with occasional travel to central London. You must have the unrestricted right to work in the UK to be eligible for this role - this organisation is not able to offer sponsorship.
About the Company
We are working with a leading financial services organisation undergoing continued investment in its data and analytics capabilities, with a strong focus on building a robust, scalable and modern data platform.
This is an excellent opportunity to join a collaborative Data & Analytics team and work with Microsoft Fabric, Azure, Python and Spark, helping shape the future of the organisation's data platform while supporting the technical development of an established BI team.
The Role
As a Lead Data Engineer, you'll play a key role in developing and maintaining a modern enterprise data platform using Microsoft Fabric, working within a wider Azure data environment. You'll design, build, and optimise scalable data pipelines using Fabric, Python and PySpark, while mentoring the existing BI team and helping shape best practice across the platform.
Key Responsibilities
- Develop and maintain the enterprise data platform using Microsoft Fabric.
- Design, build, and optimise scalable data pipelines using Fabric, Python and PySpark.
- Develop and maintain data solutions within a modern Azure cloud environment.
- Ensure data quality, security, reliability, and performance across the platform.
- Mentor and upskill the BI team across Python, Spark and Microsoft Fabric.
- Shape technical standards and best practices for data engineering and platform development.
- Collaborate with stakeholders to translate business requirements into effective technical solutions.
- Troubleshoot, optimise, and enhance existing data pipelines to improve efficiency and scalability.
About You
You will be a Lead Data Engineer who is passionate about building modern, scalable data platforms. You'll have strong hands-on experience with Microsoft Fabric, Python, PySpark and Azure, enjoy solving complex technical challenges, and thrive in a collaborative environment where you can make a real impact by setting best practice and mentoring an established BI team.
Key requirements:
- Strong hands-on experience with Microsoft Fabric, Python and PySpark.
- Proven experience designing and developing Fabric data platforms, pipelines and Lakehouse solutions.
- Experience building scalable data solutions within Azure, including Data Factory, Databricks and Data Lake.
- Strong data engineering and cloud architecture expertise, with experience mentoring and upskilling technical teams.
What's on Offer
- Day Rate: £500.00 (Inside IR35)
- Hybrid Role - Travel to London Twice a Week
- Lead-level opportunity working with Microsoft Fabric, Python and PySpark.
- Exposure to enterprise Azure data platforms and modern cloud technologies.
- The opportunity to shape technical best practice while mentoring and upskilling an established BI team.
Why Apply?
This is an excellent opportunity to take a lead role within a financial services organisation, helping shape and develop a modern Microsoft Fabric data platform. You'll work with Fabric, Python, PySpark and Azure, collaborate with experienced BI and data professionals, and play a key role in setting technical standards and upskilling the wider team. This is a fantastic opportunity to take ownership of a strategic data platform while making a real impact through hands-on engineering and technical leadership.
To apply for this role please submit your CV or contact Alessandro Hood.
Contract MS Fabric Engineer £500/day Inside IR35 - Immediate in London employer: Tenth Revolution Group
Join a leading AI Analytics team in London, where innovation meets opportunity. As a Remote Senior Data Engineer, you'll thrive in a dynamic work culture that prioritises collaboration and growth, backed by a multinational equity firm poised for year-on-year expansion. Enjoy access to cutting-edge technology, professional development opportunities, and the chance to make a significant impact in the rapidly evolving AI landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Contract MS Fabric Engineer £500/day Inside IR35 - Immediate in London
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We think you need these skills to ace Contract MS Fabric Engineer £500/day Inside IR35 - Immediate in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Tenth Revolution Group, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Tenth Revolution Group, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
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How to prepare for a job interview at Tenth Revolution Group
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Tenth Revolution Group.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Tenth Revolution Group.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Tenth Revolution Group.
