At a Glance
- Tasks: Design and deliver data solutions using Microsoft Fabric for a major transformation programme.
- Company: Join a large organisation leading a significant data transformation project.
- Benefits: Earn up to £520 per day with a hybrid working model.
- Other info: Immediate start available with potential for contract extension.
- Why this job: Make a real impact by optimising data platforms and mentoring future engineers.
- Qualifications: 7+ years in Data Engineering with strong Microsoft Fabric and Azure expertise.
The predicted salary is between 45000 - 55000 £ per year.
Location: North East England (1 day onsite every fortnight)
Rate: Up to £520 per day
Contract: Initial 3-month contract (Likely to extend)
Clearance: BPSS Clearance Required
Start: Immediate Start
We are working with a large organisation undergoing a significant data transformation programme and are looking for an experienced Senior Data Engineer to help build and optimise a modern data platform powered by Microsoft Fabric. This is an excellent opportunity to join a high-impact project where you'll combine hands‑on engineering with technical leadership to unlock valuable operational insights from enterprise data.
Key Responsibilities
- Design and deliver data integration, transformation and visualisation solutions using Microsoft Fabric.
- Build and optimise Bronze, Silver and Gold data pipelines.
- Integrate CRM, contact centre and other line‑of‑business applications into modern data platforms.
- Develop and optimise Lakehouse architectures and semantic models.
- Create intuitive Power BI dashboards and reporting solutions.
- Implement data quality, governance and matching processes.
- Contribute to engineering standards, documentation and best practices.
- Provide technical leadership and mentor less experienced team members.
- Collaborate with technical and non‑technical stakeholders to deliver business value.
Essential Skills & Experience
- 7+ years’ experience in Data Engineering
- Strong hands‑on Microsoft Fabric expertise
- Deep Azure data engineering experience
- Exposure to AWS and cross‑cloud integrations
- Experience integrating enterprise applications, CRM platforms and contact centre solutions
- Strong Power BI and data modelling capabilities
- Experience building and optimising scalable data pipelines
- Strong understanding of data quality and governance practices
- Experience mentoring engineers and providing technical leadership
- Excellent communication and stakeholder management skills
What's on Offer?
- Up to £520 per day
- Initial 3‑month contract
- Hybrid working model
- Opportunity to work on a major data transformation programme
- Immediate start available
Senior Data Engineer (Microsoft Fabric) in London employer: Futureheads
As a Senior Scala Developer with us, you'll be part of a dynamic team dedicated to delivering impactful solutions for the public sector. We pride ourselves on fostering a collaborative work culture that values technical leadership and innovative problem-solving, offering you the chance to grow your skills while working on meaningful projects. With flexible remote working options and opportunities for long-term engagement, we ensure that our employees are supported in their professional development and well-being.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer (Microsoft Fabric) in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Futureheads before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Futureheads.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Futureheads.
We think you need these skills to ace Senior Data Engineer (Microsoft Fabric) in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Futureheads, 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 Futureheads, 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.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Futureheads’s attention and show the tangible impact of your work.
How to prepare for a job interview at Futureheads
✨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 Futureheads.
✨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 Futureheads.
✨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 Futureheads.
