At a Glance
- Tasks: Join a dynamic team to shape the future of data with Microsoft Fabric.
- Company: Well-established international organisation undergoing exciting data transformation.
- Benefits: Up to £75,000 salary, hybrid work, and ongoing training opportunities.
- Other info: Collaborative culture with clear progression paths and exposure to AI projects.
- Why this job: Make a real impact on next-gen data solutions and strategies.
- Qualifications: Strong Data Engineering experience in Microsoft environments and ETL/ELT skills.
The predicted salary is between 75000 - 75000 £ per year.
Senior Data Engineer - Microsoft Fabric - London (Hybrid) - Up to £75,000
This is an exciting opportunity to join a well-established international organisation currently undergoing a major transformation of its data and reporting landscape.
With significant investment being made into Microsoft Fabric, data modernisation and automation, the business is looking for a Senior Data Engineer who can play a key role in shaping and delivering its next‑generation data platform. You'll join a growing team at a pivotal stage, helping to build scalable data solutions while influencing best practice and future architecture decisions across the business.
This role would suit someone who is passionate about modern Microsoft data technologies and wants to work in an environment where Microsoft Fabric is central to the long‑term data strategy.
You Will Work With
- Microsoft Fabric (Lakehouses, Data Pipelines, Notebooks and Dataflows)
- Designing and developing scalable ETL/ELT solutions
- Large-scale data migration and transformation projects
- SQL and T‑SQL development
- Data modelling and data warehousing solutions
- Azure-based data services and integrations
- PySpark and Python within Fabric Notebooks
- Power BI reporting and analytics requirements
- Business and technical stakeholders across multiple departments
- AI, automation and continuous improvement initiatives
Benefits
- Salary up to £75,000 depending on experience
- Hybrid working model
- Opportunity to work on a major Microsoft Fabric transformation
- Exposure to AI and automation projects
- Ongoing training and development
- Clear progression opportunities within a growing data function
- Collaborative and supportive team environment
- Opportunity to influence future data strategy
Key Experience
Essential
- Strong experience as a Data Engineer in a Microsoft environment
- Hands‑on experience with Microsoft Fabric
- Experience building and maintaining ETL/ELT pipelines
- Strong SQL/T‑SQL skills
- Experience designing and developing scalable data solutions
- Data modelling and data warehouse experience
- Strong problem‑solving and analytical skills
- Excellent stakeholder management and communication skills
Desirable
- PySpark and Python experience within Fabric Notebooks
- Azure Data Factory, Synapse Analytics or Azure Data Lake
- Power BI
- Data migration experience
- CI/CD and DevOps exposureAI/ML experience
- Microsoft Fabric certifications (DP‑600)
- Azure Data Engineering certification (DP‑203)
Senior Data Engineer employer: Jefferson Frank
Join a leading UK manufacturing and supply-chain organisation that is at the forefront of digital transformation. With a strong commitment to employee development, you will have access to competitive salaries and opportunities to enhance your IT and Data management skills in a collaborative and dynamic work environment. Located in Surrey, this hybrid role offers the chance to engage with diverse stakeholders while contributing to innovative solutions that drive business success.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Jefferson Frank!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Engineer at Jefferson Frank.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Jefferson Frank.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at Jefferson Frank, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Jefferson Frank, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Jefferson Frank. 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 Jefferson Frank
✨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!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨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 Jefferson Frank!
✨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.
