At a Glance
- Tasks: Design and build modern data solutions using Microsoft Fabric and Lakehouse architecture.
- Company: Join a leading organisation transforming data engineering with cutting-edge technology.
- Benefits: Competitive salary, flexible work arrangements, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and continuous improvement.
- Why this job: Make a real impact by shaping a vital cloud-based data platform.
- Qualifications: Experience with Microsoft Fabric, Azure, SQL, and data modelling.
The predicted salary is between 50000 - 65000 £ per year.
Not all Data Engineering roles are created equal. Some involve maintaining legacy ETL processes and producing reports nobody reads. This isn't one of those roles… You will help shape and enhance a modern cloud-based data platform that's central to how a large, complex organisation makes decisions, improves services and drives transformation. You’ll be joining a well-established data function where Data Governance, Architecture, Engineering and BI all work together to build something genuinely valuable. The foundations are already in place. Now it's about taking things to the next level.
What you’ll be doing
- You’ll play a key role in designing, building and optimising a modern Microsoft data platform centred around Fabric, Lakehouse architecture and scalable data pipelines.
- Working closely with your data colleagues and wider technology teams, you’ll help ensure high-quality data flows seamlessly across the organisation.
- Your responsibilities will include:
- Building and maintaining data pipelines using Microsoft Fabric
- Designing and optimising Lakehouse and data storage solutions
- Developing ETL and data transformation processes
- Integrating data from multiple business‑critical applications
- Creating scalable and efficient data models
- Improving data quality, governance and reliability
- Supporting testing, performance monitoring and continuous improvement initiatives
- Collaborating with technical and non‑technical stakeholders to turn business requirements into robust data solutions
What we’re looking for
We’re less interested in job titles and more interested in capability. You’ll likely have experience in several of the following:
- Microsoft Fabric
- Azure Data Factory
- Advanced SQL
- Data Warehousing / Data Lakes / Lakehouse Architecture
- ETL Development
- Data Modelling
- Power BI
You’ll also be someone who enjoys solving complex problems, improving processes and working collaboratively within a modern technology environment. This is a 2 year Fixed Term Contract where you will visit the central London offices once a fortnight.
The ideal person
You’ll thrive here if you:
- Enjoy building rather than maintaining
- Like working on enterprise‑scale data challenges
- Can translate business requirements into technical solutions
- Care about data quality and engineering best practice
- Enjoy working with architects, analysts and stakeholders across the business
- Want to help shape the future direction of a growing data platform
Why apply?
This is an opportunity to work with one of the most modern Microsoft data stacks available today, including Microsoft Fabric, while helping evolve a large‑scale data environment that continues to grow in both complexity and importance. If you’re a Data Engineer who enjoys building scalable cloud‑based solutions and wants to make a genuine impact rather than simply keeping the lights on, we’d love to hear from you. Apply now for a confidential conversation.
Data Engineer - Fabric in Stratford-upon-Avon employer: Big Red Recruitment
Join a forward-thinking organisation that prioritises innovation and collaboration in the heart of London. As a Data Engineer, you'll be part of a dynamic team dedicated to enhancing a cutting-edge data platform, with ample opportunities for professional growth and development. Enjoy a supportive work culture that values your contributions and encourages you to make a meaningful impact on the future of data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Fabric in Stratford-upon-Avon
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We think you need these skills to ace Data Engineer - Fabric in Stratford-upon-Avon
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 Big Red Recruitment, 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 Big Red Recruitment. 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 Big Red Recruitment
✨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 Big Red Recruitment!
✨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.
