At a Glance
- Tasks: Develop and optimise data pipelines using Microsoft Fabric and Azure technologies.
- Company: Established London business modernising its data platform.
- Benefits: Competitive salary, hands-on experience, and opportunities for skill development.
- Other info: Collaborative environment with a focus on growth and learning.
- Why this job: Join a transformative data journey and work with experienced engineers.
- Qualifications: Experience with Microsoft Fabric, Azure Data Engineering, and ETL/ELT pipelines.
The predicted salary is between 65000 - 75000 £ per year.
Location: Camden, London (4 days per week onsite)
Salary: £65,000 - £75,000
Permanent Position
I'm working with an established, commercially successful London business that's investing in a significant modernisation of its data platform, moving from Azure Synapse to Microsoft Fabric. Having recently strengthened their senior engineering capability, they're now looking for a mid-level Data Engineer to join the team and play a key part in this transformation. This is a great opportunity for someone who's already gained commercial experience with Microsoft Fabric and wants to develop further, working alongside an experienced Senior Data Engineer and an incoming Fabric Platform Architect.
The business already has a well-established Azure data environment, so the challenge isn't simply building something from scratch. It's about modernising the existing platform, improving engineering practices and helping deliver a successful migration to Fabric, whilst continuing to support business-critical data services.
What you'll be doing:
- Developing, maintaining and optimising data pipelines across Azure Synapse, Azure Data Factory and Microsoft Fabric.
- Supporting the migration of existing data workloads from Synapse and Power BI into Fabric, gradually taking ownership of individual workstreams.
- Working with Fabric Lakehouses, Warehouses, Pipelines, Notebooks and semantic models.
- Helping improve data quality, governance, monitoring and engineering standards across the platform.
- Collaborating with senior engineers, architects and business stakeholders to deliver reliable, scalable data solutions.
What I'm looking for:
- Commercial hands-on experience with Microsoft Fabric, ideally building pipelines, Lakehouses or Warehouses.
- A solid foundation in Azure Data Engineering, particularly Azure Synapse, ADF and SQL.
- Experience developing and maintaining ETL/ELT pipelines and data models.
- Familiarity with Git, CI/CD and modern data engineering practices.
- An understanding of data governance, security and quality, alongside exposure to Power BI.
- Someone who's curious, collaborative and keen to learn from experienced engineers whilst taking ownership of their own work.
Why is this interesting?
You're joining at an exciting point in the business's data journey, with a major platform migration underway and a growing engineering team around you. You’ll have the opportunity to work on a meaningful transformation programme, gain deeper exposure to Microsoft Fabric and develop your skills alongside experienced technical specialists. Importantly, they’re not looking for someone who knows absolutely everything. They want a capable, hands-on engineer with a good technical foundation, some real-world Fabric experience and the right attitude to keep developing.
If you’re a Data Engineer working across Azure and Microsoft Fabric and looking for an opportunity to grow your technical skills whilst contributing to a significant platform modernisation, I’d be keen to have a conversation.
Burns Sheehan Ltd will consider applications based only on skills and ability and will not discriminate on any grounds.
Fabric Data Engineer in London employer: Burns Sheehan Limited
Join a dynamic and innovative HealthTech startup in London, where you'll have the opportunity to take ownership of data pipelines and make a tangible impact on healthcare solutions. With a strong focus on employee growth, a collaborative work culture, and the chance to work with cutting-edge AI technologies, this role offers not just a job, but a meaningful career path in a fast-paced environment. Enjoy competitive compensation, equity options, and the satisfaction of contributing to a mission-driven company that values your expertise and initiative.
StudySmarter Expert Advice🤫
We think this is how you could land Fabric Data Engineer in London
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We think you need these skills to ace Fabric Data Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
