At a Glance
- Tasks: Join a dynamic team to build and evolve our enterprise data platform using Microsoft Fabric.
- Company: CluePoints, a fast-growing tech scale-up revolutionising clinical trials with AI and data insights.
- Benefits: Hybrid work model, collaborative culture, and opportunities for continuous learning and growth.
- Other info: Be part of a diverse team representing over 20 nationalities, united by a shared mission.
- Why this job: Make a real impact on healthcare by improving clinical trial efficiency and data quality.
- Qualifications: 8+ years in data engineering, strong Azure skills, and experience with Microsoft Fabric.
The predicted salary is between 66150 - 80850 £ per year.
Description
At Clue Points, we’re redefining how clinical trials are run.
As the premier provider of Risk-Based Quality Management (RBQM) and Data Quality Oversight software, we harness advanced statistics, artificial intelligence, and machine learning to ensure the quality, accuracy, and integrity of clinical trial data, helping life sciences organizations bring safer, more effective treatments to patients faster.
We’re proud to be an ambitious, fast-growing technology scale-up with a dynamic and diverse international team representing more than 20 nationalities.
Collaboration, flexibility, and continuous learning are part of our DNA.
At Clue Points, you’ll find a culture where you can grow, make an impact, and have fun along the way.
Guided by our values of Care, Passion, and Smart Disruption, we’re united by a shared mission: to create smarter ways to run efficient clinical trials and deliver AI-powered insights that improve human outcomes worldwide.
This role is ideally on a hybrid basis, in London.
The Role
This role sits within our internal Data & Analytics team, helping leadership make data-driven decisions as Clue Points continues to scale.
You'll join a small, high-impact team building and evolving our enterprise data platform, integrating data from business systems into our Azure data warehouse and creating trusted datasets that power Power BI reporting across Sales, Marketing, HR, Finance and Professional Services.
Built on strong Azure foundations—including Azure Data Factory, a bronze/silver/gold architecture and a recent transition to Microsoft Fabric—you'll help shape the next generation of our data platform, developing scalable engineering patterns that enable the business to grow with confidence.
Requirements
- 8+ years hands-on data engineering and enterprise data warehousing, including senior or lead-level responsibility.
- Substantial production experience with Microsoft Fabric — at least one end-to-end implementation, modernisation, or migration you can walk through in detail.
- Deep Kimball dimensional modelling expertise, with real examples of gold-layer design for cross-departmental reporting.
- Strong Azure stack: Azure Data Factory, Azure SQL, Azure Dev Ops, Key Vault, and experience integrating web/Saa S sources.
- Advanced T-SQL plus Python and/or Py Spark for scalable, testable, well-instrumented pipelines.
- Comfort working closely with a small analytics team and translating business questions into engineering work.
- Nice to Have
- Microsoft certifications: Fabric Data Engineer Associate (DP-700), Fabric Analytics Engineer Associate (DP-600), or relevant Azure certs.
- Microsoft Purview, Fabric administration, capacity management, One Lake shortcuts and mirroring.
- Infrastructure as code — Bicep, Terraform, Power Shell, or Fabric/Azure APIs.
- Prior experience building internal analytics warehouses inside a fast-growing Saa S business.
Senior Data Engineer (Microsoft Fabric) - UK employer: CluePoints
CluePoints is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for a Senior AI-Driven Test Engineer. With a strong focus on employee growth, you will have the opportunity to mentor others while working with cutting-edge technologies in a supportive environment. Located in the United Kingdom, CluePoints offers a dynamic work atmosphere that encourages creativity and professional development, ensuring that your contributions lead to meaningful advancements in quality engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer (Microsoft Fabric) - UK
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We think you need these skills to ace Senior Data Engineer (Microsoft Fabric) - UK
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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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at CluePoints. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at CluePoints
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at CluePoints!
✨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.
