At a Glance
- Tasks: Design scalable systems to transform data into accurate financial payouts.
- Company: Join a dynamic team in the heart of London, working remotely.
- Benefits: Competitive pay, flexible hours, and opportunities for professional growth.
- Other info: Fast-paced environment with immediate interview opportunities.
- Why this job: Make a real impact by building tools that support finance teams.
- Qualifications: Expertise in data engineering and experience with cloud-native development.
The predicted salary is between 50000 - 70000 £ per year.
We are seeking a passionate Data Engineer to design scalable, robust systems that turn large-scale consumption and royalty data into accurate payouts. You will build self-serve tools for our Finance team and develop modular, easily maintainable platform capabilities.
Key Requirements:
- Deep expertise in data engineering with the ability to extend into backend services.
- Proven experience building pipelines for large-scale transactional or financial data.
- Fluency in Scala (Scio/Dataflow) and comfort with cloud-native development on GCP. (Experience with Java, Python, and BigQuery is a plus).
- Strong communication skills to collaborate with Finance, Product, and Engineering teams to ship auditable, reliable systems that meet regulatory scrutiny.
- Ability to thrive in fast-moving, ambiguous spaces while prioritising long-term sustainability.
This is an urgent vacancy with a deadline where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV.
Data Engineer - London, UK employer: Randstad Technologies
At Randstad Technologies, we pride ourselves on being an excellent employer, offering a dynamic and inclusive work culture that fosters innovation and collaboration. As a Data Engineer in London, you will enjoy the flexibility of a fully remote working model, alongside opportunities for professional growth and development in a fast-paced environment. Our commitment to employee well-being and career advancement makes us an attractive choice for those seeking meaningful and rewarding employment in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - London, UK
✨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 Randstad Technologies 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 Randstad Technologies.
✨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 Randstad Technologies.
We think you need these skills to ace Data Engineer - London, UK
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Randstad Technologies, 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 Randstad Technologies, 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 Randstad Technologies’s attention and show the tangible impact of your work.
How to prepare for a job interview at Randstad Technologies
✨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 Randstad Technologies.
✨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 Randstad Technologies.
✨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 Randstad Technologies.
