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- Tasks: Design and build scalable data platforms for live trading strategies.
- Company: Tempest Vane Partners, a leading quantitative investment firm.
- Benefits: Highly competitive salary, strong bonus potential, and immediate impact on trading decisions.
- Other info: Join a tight-knit team where your contributions matter.
- Why this job: Work closely with traders and quants in a fast-paced, high-impact environment.
- Qualifications: Experience in building robust data systems and strong software engineering fundamentals.
The predicted salary is between 60000 - 80000 £ per year.
Most data roles don’t sit this close to the trading desk. This one does. At Tempest Vane Partners, we’re partnering with a high-performing, highly selective quantitative investment firm to hire a Data Engineer into a team building the data backbone of live trading strategies. This isn’t a back-office data role. Your work will directly influence how trading decisions are made in real time.
Why this role stands out
- Work on live trading systems, not just pipelines feeding dashboards
- Handle high-volume, time-sensitive market data in production
- Collaborate daily with quants and traders
- High ownership, low bureaucracy, strong technical standards
What you’ll actually be doing
- Designing and evolving scalable data platforms that support systematic trading
- Building systems that ingest, transform, and deliver large-scale, real-time datasets
- Improving data reliability, latency, and performance across the stack
- Bringing structure to complex data ecosystems spanning multiple sources
- Solving production-critical problems in a fast-moving environment
What they’re looking for
- Experience building robust data systems in performance-driven environments
- Strong software engineering fundamentals and a pragmatic approach to delivery
- Comfortable working with large, complex datasets at scale
- Familiarity with modern data tooling, distributed systems, or cloud environments
- Someone who enjoys being close to the business, not removed from it (Prior exposure to trading or financial data is helpful, but not essential.)
What’s on offer
- Highly competitive base + strong bonus potential
- A genuinely front-office aligned engineering role
- Exposure to real-time trading systems and decision-making
- A tight-knit, high-calibre team where your work has an immediate impact
Interested in something more high-impact than the typical data role? Apply directly or message for a confidential discussion.
Data Engineer | London | Systematic Trading in Slough employer: Tempest Vane Partners
Contact Detail:
Tempest Vane Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer | London | Systematic Trading in Slough
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in trading or data roles. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio of projects or contributions to open-source, make sure to highlight them. Real-world examples of your work can set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding and data system design skills. Practice common problems and be ready to discuss how you've tackled challenges in past roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Data Engineer | London | Systematic Trading in Slough
Some tips for your application 🫡
Show Your Passion for Data: When you're writing your application, let your enthusiasm for data engineering shine through! We want to see how much you love working with data and how it can impact trading decisions. Share any relevant projects or experiences that highlight your passion.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this role. Highlight your experience with building robust data systems and any familiarity with trading or financial data. We appreciate when candidates take the time to align their skills with what we’re looking for!
Be Clear and Concise: Keep your application clear and to the point. We’re busy folks, so make it easy for us to see your qualifications. Use bullet points where possible and avoid jargon unless it’s relevant to the role. Clarity is key!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Tempest Vane Partners
✨Know Your Data Inside Out
Make sure you’re well-versed in the types of data you'll be working with. Brush up on your knowledge of real-time datasets and how they influence trading decisions. Being able to discuss specific examples of how you've handled large, complex datasets will show that you’re ready for the fast-paced environment.
✨Showcase Your Technical Skills
Prepare to demonstrate your software engineering fundamentals. Be ready to talk about the tools and technologies you’ve used in previous roles, especially those related to distributed systems or cloud environments. If you can, bring along a portfolio of projects that highlight your experience in building robust data systems.
✨Understand the Trading Landscape
Even if you don’t have direct experience in trading, it’s crucial to understand the basics of how trading works. Familiarise yourself with key concepts and terminology in systematic trading. This will help you communicate effectively with quants and traders during the interview.
✨Emphasise Collaboration
This role involves daily collaboration with traders and quants, so be prepared to discuss your teamwork experiences. Share examples of how you’ve worked closely with others to solve problems or improve processes. Highlighting your ability to thrive in a tight-knit team will resonate well with the interviewers.