At a Glance
- Tasks: Build cutting-edge data pipelines and infrastructure for trading and investment decisions.
- Company: Leading trading firm in London with a modern, cloud-first engineering culture.
- Benefits: Competitive daily rate, hybrid work model, and potential for contract extension.
- Other info: Collaborate with top developers and quants in a dynamic environment.
- Why this job: Join a high-performing team and work on innovative greenfield projects.
- Qualifications: Strong Python coding skills and experience with Snowflake and Azure.
The predicted salary is between 60750 - 74250 £ per year.
We're partnering with a leading trading firm based in London to find a talented Python Data Engineer to join their growing technology function. This is a fantastic opportunity to work on greenfield data platform projects, building the pipelines and infrastructure that power buy-side trading and investment decisions at scale. Our client operates at the cutting edge of the trading world, combining deep market expertise with a modern, cloud-first engineering culture. You'll be working alongside some of the sharpest developers and quants in the industry, in an environment that genuinely invests in its technology stack and its people. This is a 6-month rolling contract with a very high likelihood of extension — a great opportunity to embed yourself in a high-performing team on a long-term basis.
Skills/experience
- Strong hands-on/commercial coding experience in Python
- Solid experience with Snowflake (data modelling, performance tuning, pipeline integration)
- Hands-on experience with Azure cloud services
- Strong experience with SQL
- Strong experience building and maintaining ETL/ELT pipelines
- Experience within finance — trading, investment banking, asset management or similar
- Strong communication skills, comfortable working closely with traders, quants and other stakeholders
- A genuine passion for data and technology!
Data Engineer employer: Hunter Bond
Join our leading bank, where we prioritise employee growth and a collaborative work culture. As a KYC CLM AVP in London, you'll benefit from flexible working options and the chance to lead a dynamic team in a high-growth area, driving meaningful improvements in client experience and operational efficiency. We are committed to fostering an environment that encourages innovation and professional development, making us an excellent employer for those seeking a rewarding career in banking.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨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 Hunter Bond 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 Hunter Bond.
✨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 Hunter Bond.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Hunter Bond, 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 Hunter Bond, 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 Hunter Bond’s attention and show the tangible impact of your work.
How to prepare for a job interview at Hunter Bond
✨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 Hunter Bond.
✨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 Hunter Bond.
✨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 Hunter Bond.
