At a Glance
- Tasks: Enhance Microsoft Fabric use and develop new features for the Finance Lakehouse.
- Company: Dynamic tech company with a focus on innovation and collaboration.
- Benefits: Competitive day rate, flexible working, and opportunity to work from home.
- Other info: Initial 6-month contract with excellent career growth potential.
- Why this job: Join a cutting-edge team and make a real impact in data engineering.
- Qualifications: Experience with Microsoft Fabric, SQL, Python, and adaptability in a fast-paced environment.
The predicted salary is between 15000 - 18000 £ per year.
Salary: £15,000 - 18,000 per year
We require a pragmatic and self‑sufficient Data Engineer with solid practical experience of the Microsoft Fabric platform in an Enterprise setting. You should have at least 6 months of practical Fabric experience and familiarity with SQL, Pyspark/Python, and Power BI/Fabric Semantic Models. The ability to work alongside stakeholders who have their own operational pressures is essential, as is your adaptability to follow best practices even without established iteration management.
As part of our team, you will enhance the use of Fabric within the Finance Lakehouse, recommending setup improvements and developing existing logging and automated testing processes. You'll deliver business‑as‑usual (BAU) support and develop and document new features for the platform. Supporting the Architect in managing DevOps tickets and overseeing Azure and Power Platform assets is key, as well as collaborating with the Architect to establish peer review practices and assess the feasibility of implementing continuous integration (CI) builds. You'll also partner with the Architect to transition from a fail fast approach to a more stable and controlled iteration management process.
Technologies:
- API Architect
- Azure DevOps Support
- Power BI
- Python
- PySpark
- SQL
- Snowflake
- Cloud
- dbt
This is an initial 6‑month contract outside IR35 with a day rate ranging from £500 to £600, depending on experience. The role offers a flexible working arrangement with the opportunity to work from home while attending our Central London office 1 or 2 days a week. We are looking to fill this position as soon as possible, ideally before Christmas, and the assignment has already been signed off and approved. Additionally, having previous experience working with D365 data, API Integration (preferably OData), basic accounting knowledge, and familiarity with Snowflake would be advantageous.
Data Engineer in City of Westminster employer: Sivara GmbH
Join a forward-thinking team as a Data Engineer, where you will thrive in a dynamic work culture that values innovation and collaboration. With flexible working arrangements and the chance to work from home while engaging with our Central London office, you'll enjoy a supportive environment that fosters professional growth and encourages the development of your technical skills. Our commitment to best practices and continuous improvement ensures that you will be part of meaningful projects that make a real impact within the Finance Lakehouse.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in City of Westminster
✨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 in City of Westminster
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.
