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- Tasks: Build and maintain data pipelines for systematic trading in a high-performance environment.
- Company: Dynamic proprietary trading firm evolving into a hedge fund with a focus on data engineering.
- Benefits: Hybrid working, competitive compensation with no limits, and high visibility across the business.
- Why this job: Directly impact trading strategies and work with cutting-edge technology in a lean team.
- Qualifications: Experience in Python or Java and a passion for data engineering.
- Other info: Opportunity for significant career growth in a technical and collaborative setting.
The predicted salary is between 36000 - 60000 £ per year.
Trading firm where data directly drives P&L. Full ownership of the London office's data engineering practices at a high-performance trading business. You will be joining a small but well-established prop trading firm that has evolved into a hedge fund to take external investment. Operating a robust, highly technical trading environment. They have identified a clear gap in their London operation and are expanding their data engineering capability to better support the business.
Your focus will be building and maintaining data pipelines that support fully systematic trading implemented by quantitative researchers. You will work closely with researchers and other technologists in London, translating huge volumes of data into usable, production-grade ingestion pipelines.
Tech stack is Python and Java - either is fine, just as long as it has been used in a day context. The emphasis is on ownership and quality: designing data flows, implementing transformation logic, and establishing best practices for how trading data is processed and consumed within a mature trading environment.
You will have high visibility and broad coverage across the business, with your work directly supporting live mid-frequency trading activity. This is a deeply technical role in an environment where engineering teams are purposely lean to gain wide exposure. If you want to build core data systems which directly impact trading, this role offers that.
No up-to-date CV is required. Hybrid working. Compensation - no limits on this.
Data Engineer - Proprietary Trading Firm in London employer: Saragossa
Contact Detail:
Saragossa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Proprietary Trading Firm in London
✨Tip Number 1
Network like a pro! Reach out to people in the trading and data engineering space on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your knowledge.
✨Tip Number 2
Showcase your skills! Create a portfolio of projects that highlight your experience with Python and Java, especially in building data pipelines. This will give you an edge when chatting with potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your data engineering concepts. Practice coding challenges and be ready to discuss how you've tackled real-world problems in your previous 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, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Engineer - Proprietary Trading Firm in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and Java in your application. We want to see how you've used these languages in real-world scenarios, especially in data engineering or trading contexts.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Data Engineer role. We love seeing candidates who understand our business and can articulate how they fit into our team.
Demonstrate Ownership: Since this role emphasises ownership, share examples of projects where you took the lead. We’re looking for candidates who can design and implement data flows independently, so let us know how you've done this in the past!
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 it gets into the right hands quickly. Plus, it shows us you're keen on joining our team!
How to prepare for a job interview at Saragossa
✨Know Your Tech Stack
Make sure you’re well-versed in Python and Java, as these are key to the role. Brush up on your experience with data pipelines and be ready to discuss specific projects where you've implemented transformation logic or designed data flows.
✨Understand the Trading Environment
Familiarise yourself with how data drives P&L in a trading context. Be prepared to explain how your work can directly impact trading activities and demonstrate your understanding of mid-frequency trading.
✨Showcase Your Ownership Mindset
This role emphasises ownership and quality, so come armed with examples of how you've taken charge of projects in the past. Highlight instances where you’ve established best practices or improved processes in a technical environment.
✨Communicate Effectively with Researchers
Since you'll be working closely with quantitative researchers, practice explaining complex technical concepts in simple terms. Show that you can bridge the gap between data engineering and research, making it clear how your contributions will support their work.