At a Glance
- Tasks: Build and maintain data pipelines, optimise storage solutions, and develop ETL processes.
- Company: Join a well-established data function in a large, complex organisation.
- Benefits: Competitive salary, flexible work arrangements, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on data quality and continuous improvement.
- Why this job: Shape the future of a modern cloud-based data platform with cutting-edge technologies.
- Qualifications: Experience with Microsoft Fabric, SQL, and data engineering best practices.
The predicted salary is between 65000 - 70000 £ per year.
Salary: £65,000 - 70,000 per year
Requirements
- Experience in several of the following: Microsoft Fabric, Azure Data Factory, advanced SQL, data warehousing, data lakes, Lakehouse architecture, ETL development, data modelling, and Power BI
- Ability to solve complex problems, improve processes, and work collaboratively in a modern technology environment
- Ability to translate business requirements into technical solutions
- Strong focus on data quality and engineering best practice
- Experience working with architects, analysts, and stakeholders across the business
Responsibilities
- Build and maintain data pipelines using Microsoft Fabric
- Design and optimise Lakehouse and data storage solutions
- Develop ETL and data transformation processes
- Integrate data from multiple business-critical applications
- Create scalable and efficient data models
- Improve data quality, governance, and reliability
- Support testing, performance monitoring, and continuous improvement initiatives
- Collaborate with technical and non-technical stakeholders to turn business requirements into robust data solutions
Technologies
- Azure Cloud
- ETL
- Fabric
- Support
- Power BI
- SQL
- LESS
We are a well-established data function supporting a large, complex organisation as it makes decisions, improves services, and drives transformation. We are building a modern cloud-based data platform, with Data Governance, Architecture, Engineering, and BI working closely together to deliver something genuinely valuable. This is a 2-year fixed-term contract, and you will visit our central London offices once a fortnight. You will work with one of the most modern Microsoft data stacks available today, including Microsoft Fabric, and help shape the future direction of a growing data platform.
Data Engineer - Fabric employer: Sivara GmbH
As a leading data function within a large, complex organisation, we offer an exceptional work environment that fosters collaboration and innovation. Our commitment to employee growth is evident through our modern technology stack and the opportunity to work on impactful projects that drive transformation. With a strong focus on data quality and governance, our central London location provides a vibrant atmosphere for professionals looking to make a meaningful contribution while enjoying a supportive and dynamic work culture.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Fabric
✨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 Sivara GmbH 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.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Sivara GmbH.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Sivara GmbH.
We think you need these skills to ace Data Engineer - Fabric
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Sivara GmbH, 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 Sivara GmbH, 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 Sivara GmbH’s attention and show the tangible impact of your work.
How to prepare for a job interview at Sivara GmbH
✨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 Sivara GmbH.
✨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 Sivara GmbH.
✨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 Sivara GmbH.
