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- Tasks: Build low-latency Python ETL pipelines and collaborate with PMs and Quant Researchers.
- Company: Global multi-strat hedge fund expanding its data engineering team in London.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: No sponsorship available; ideal for those with a background in hedge funds or quant environments.
- Why this job: Join a talented team and engineer next-gen systems that impact live trading.
- Qualifications: 5-10 years of Python-based financial software experience and strong ETL pipeline skills.
The predicted salary is between 80000 - 100000 £ per year.
A global multi-strat hedge fund is expanding its core data engineering team in London. You’ll join a highly talented group of data engineers building low-latency Python ETL pipelines ingesting multi-asset market data. Day to day, you will work directly with PMs and Quant Researchers to deliver datasets, features and workflows for modelling, strategy development and live trading. You will also engineer the next-gen sec master and reference data system.
Requirements:
- 5 to 10 years of building Python-based financial software at a hedge fund, bank or vendor (Pandas required)
- Strong experience with ETL pipelines and distributed systems
- Comfortable working with quants and trading teams
Nice to Have:
- Experience with Kafka
- Deep understanding of market data
- Prior work in a hedge fund, prop-trading or quant environment
No Sponsorship Available at this time.
Senior Data Engineer employer: Radley James
Contact Detail:
Radley James Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. We all know that sometimes it’s not just what you know, but who you know. Attend industry meetups or webinars to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python ETL projects or any relevant work you've done. This is your chance to demonstrate your expertise in building low-latency pipelines and working with market data.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge, especially around distributed systems and ETL processes. We recommend practising common interview questions related to data engineering and quant environments.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills. Plus, it shows you're genuinely interested in joining our team. Don’t miss out on the opportunity to be part of a high-growth environment!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Python, ETL pipelines, and any relevant financial software you've built. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific projects or achievements that demonstrate your expertise in building low-latency systems and working with market data. This helps us understand your hands-on experience and how you can contribute to our team.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences quickly.
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 us you're keen on joining our team!
How to prepare for a job interview at Radley James
✨Know Your Python Inside Out
Since the role requires strong Python skills, especially with Pandas, make sure you brush up on your Python knowledge. Be ready to discuss your past projects and how you've used Python to build ETL pipelines or financial software.
✨Understand the Financial Landscape
Familiarise yourself with market data and the specific challenges faced in a hedge fund environment. Being able to speak intelligently about how data impacts trading strategies will impress the interviewers and show that you’re not just a techie but also understand the business side.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions, especially around distributed systems and ETL processes. Practise explaining your thought process clearly and concisely, as this will demonstrate your problem-solving skills and ability to communicate with quants and PMs.
✨Showcase Your Teamwork Skills
This role involves working closely with PMs and Quant Researchers, so be prepared to discuss examples of how you've collaborated in the past. Highlight any experiences where you’ve successfully worked in cross-functional teams to deliver complex projects.