At a Glance
- Tasks: Design and optimise scalable data solutions using Microsoft Fabric.
- Company: Join a sustainability-focused international organisation investing in tech and data.
- Benefits: Up to £70,000 salary, hybrid work model, and career growth opportunities.
- Other info: Collaborative team environment with hands-on development and complex data challenges.
- Why this job: Be part of a major digital transformation and shape the future of data strategy.
- Qualifications: Experience in Data Engineering, SQL/T-SQL, and cloud-based platforms required.
The predicted salary is between 70000 - 70000 £ per year.
We are partnering with a well‑established international organisation operating within a sustainability‑led sector that is investing heavily in its technology and data capabilities. As part of an ambitious digital transformation programme, the business is modernising its data estate, embracing cloud technologies to drive operational efficiency and support future growth.
As a Data Engineer, you will play a pivotal role in the design, development and optimisation of scalable data solutions, while supporting a major migration to Microsoft Fabric. Working with large and complex datasets, you will build robust data pipelines, optimise data processes and help deliver reliable, high‑quality data that underpins critical business reporting and decision‑making.
Joining a collaborative BI & Data team, you will work closely with analysts, stakeholders and technology teams across the organisation to deliver impactful data solutions. This opportunity is ideal for an experienced Data Engineer who enjoys hands‑on development, solving complex data challenges and contributing to a forward‑thinking data strategy within a fast‑paced environment.
Key Responsibilities
- Design, build and maintain Microsoft Fabric pipelines, Lakehouses and end‑to‑end data solutions
- Develop, optimise and maintain SQL/T‑SQL queries for efficient data processing and transformation
- Create and maintain scalable data models to support reporting, analytics and KPI measurement
- Monitor, troubleshoot and enhance data quality, platform performance and solution reliability
- Work collaboratively with business and technical stakeholders to deliver scalable, business‑critical data solutions
- Contribute to the ongoing evolution of the organisation's modern data platform and architecture
Skills & Experience
- Proven experience working in a Data Engineering role delivering data solutions within complex environments
- Hands‑on experience with Microsoft Fabric and modern cloud‑based data platforms
- Strong background in ETL development, data integration and pipeline engineering
- Advanced SQL/T‑SQL development skills
- Experience designing and implementing data models for reporting and analytical requirements
- Experience using Python and/or PySpark, particularly within Fabric Notebooks
- Exposure to Azure data technologies such as Azure Data Factory, Synapse Analytics or Data Lake
What's on Offer
- Salary up to £70,000
- Hybrid working model with 1 day per week onsite in West London
- Opportunity to work on a large‑scale Microsoft Fabric transformation programme
- Opportunity to play a key role in shaping the organisation's future data strategy
Fabric Data Engineer in London 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 Fabric Data Engineer in London
✨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 Fabric 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 Fabric 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!
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!
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.
