At a Glance
- Tasks: Design and build data pipelines using Microsoft Fabric for a major transformation project.
- Company: Join a forward-thinking organisation in Berkshire focused on modern data solutions.
- Benefits: Competitive daily rate of £500, flexible contract length, and opportunity to work onsite.
- Other info: Dynamic greenfield environment with potential for impactful contributions.
- Why this job: Play a key role in shaping a new enterprise data platform from the ground up.
- Qualifications: Strong experience as a Data Engineer with Microsoft Fabric and Azure technologies.
I am currently working with a client in Berkshire who is looking for an experienced Data Engineer to join a major greenfield data transformation programme. This is an opportunity to play a key role in the design and implementation of a new Microsoft Fabric platform from the ground up. The organisation currently has no enterprise data warehouse in place and is looking to build a modern data environment, making this a highly impactful project for an experienced consultant.
We are looking for a hands-on Data Engineer who has successfully delivered Microsoft Fabric implementations within other organisations and can help shape best practice, architecture, and delivery.
Key Responsibilities
- Design and build data pipelines using Microsoft Fabric
- Support the end-to-end implementation of a new enterprise data platform
- Develop and optimise data models, integration processes, and data flows
- Work closely with business and technical stakeholders to understand data requirements
- Establish data engineering best practices and standards
- Support the creation of scalable reporting and analytics capabilities
- Contribute to the overall data architecture and platform strategy
Essential Experience
- Strong experience as a Data Engineer
- Proven track record delivering Microsoft Fabric implementations
- Experience building data platforms and data warehouses from scratch
- Strong knowledge of data integration, ETL/ELT, and modern data architectures
- Experience working with Azure data technologies
- Ability to work independently within a greenfield environment
- Strong stakeholder engagement and communication skills
Contract Details: 3-6 month initial contract, Outside IR35, £500 per day, Berkshire-based, with 2-3 days per week onsite.
Data Engineer- MS Fabric in England employer: Real
As a leading university, we offer an exceptional work environment that fosters innovation and collaboration in the field of data architecture. Our commitment to employee growth is evident through opportunities for professional development and engagement with diverse stakeholders across various transformation programmes. Working remotely allows for flexibility while contributing to meaningful projects that shape the future of data governance and insights within higher education.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer- MS Fabric in England
✨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 Real 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.
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✨Leverage University Resources
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We think you need these skills to ace Data Engineer- MS Fabric in England
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Real, 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 Real, 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 Real’s attention and show the tangible impact of your work.
How to prepare for a job interview at Real
✨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 Real.
✨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 Real.
✨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 Real.
