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- Tasks: Build the data backbone for advanced investment strategies in a dynamic hedge fund.
- Company: Join a successful hedge fund with a focus on innovation and collaboration.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborate with traders and engineers to deliver high-quality data for sophisticated trading models.
- Why this job: Make a real impact by solving complex data challenges in a fast-paced environment.
- Qualifications: 5+ years in ETL/ELT pipelines, strong knowledge of equities or commodities, and SQL expertise.
The predicted salary is between 80000 - 100000 £ per year.
An exceptional opportunity to join a successful hedge fund as a Data Engineer where you'll build the data backbone powering advanced investment strategies. This is not a vanilla data role. The team need someone who genuinely understands either equities or commodities (preferably both) products – how each is priced and valued, the market events and behaviours that affect them, and the full operational trade lifecycle.
You'll act as the data lead for the asset class build-out, helping to upskill the wider team (from a data perspective rather than analytics) and setting the standard for how this data is sourced, modelled, governed, and consumed. You'll be exposed to the full data flow – ingestion, cleaning, quality assurance, and the build-out of robust data platforms – managing diverse financial datasets spanning market, fundamental, and alternative sources from acquisition through to delivery.
Working closely with quant researchers, traders, and engineers, you'll solve complex data challenges and deliver high-quality data to fuel sophisticated trading models in a fast-paced, innovative environment.
Responsibilities- Develop a deep working understanding of equities and commodities products – pricing, valuation, market behaviour, key events, and the full operational trade lifecycle – and apply that knowledge to data design, modelling, and governance.
- Act as the data lead for the asset class build-out, partnering closely with the newly hired Equities Trader and the incoming Commodities Trader, and helping to upskill the wider team on best practice for handling this data.
- Collaborate with vendors to source and integrate complex datasets, ensuring they meet the firm's exacting standards for trading and research.
- Design and maintain scalable data pipelines that transform raw data into analysis-ready formats, applying top-tier engineering practices for seamless integration with trading systems.
- Build robust validation tooling to ensure data accuracy, timeliness, and integrity in support of quantitative strategies.
- Provide hands-on support for data pipelines, swiftly resolving issues to maintain uninterrupted data flow for trading operations.
- 5+ years of experience building ETL/ELT pipelines with Python and pandas in a financial markets trading environment.
- Genuine product knowledge of equities and/or commodities – including how each is priced and valued, the events and market behaviours that drive them, and the operational trade lifecycle.
- Strong expertise in relational databases and SQL.
- Proficiency with technologies such as S3, Kafka, Airflow, or Iceberg.
- Demonstrated experience managing large, complex financial datasets sourced from multiple vendors.
- Confidence working with a team that is newer to these asset classes, bringing the data perspective and lifting the standard around them.
- A passion for engineering excellence and delivering impactful, practical solutions.
- Excellent collaboration and communication skills to thrive in a team environment.
Data Engineer (Hedge Fund) in Slough employer: QuanTech Partners
Contact Detail:
QuanTech Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Hedge Fund) in Slough
✨Tip Number 1
Network like a pro! Reach out to folks in the hedge fund space, especially those who work with data. Attend industry events or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those related to equities and commodities. This is your chance to demonstrate your expertise in building ETL pipelines and working with complex datasets. Make it easy for potential employers to see what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of market behaviours and the operational trade lifecycle. Be ready to discuss how you've tackled data challenges in the past. We want to hear your thought process and how you can bring value to the team!
✨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 are proactive about their job search. Let’s get you on board!
We think you need these skills to ace Data Engineer (Hedge Fund) in Slough
Some tips for your application 🫡
Know Your Stuff: Make sure you really understand equities and commodities. We want to see that you can apply your knowledge of pricing, valuation, and market behaviours in your application. Show us how your experience aligns with the role!
Tailor Your Application: Don’t just send a generic CV and cover letter. We love it when candidates tailor their applications to highlight relevant experience and skills. Make it clear how you can contribute to our data backbone and the team!
Showcase Your Technical Skills: We’re looking for someone with solid experience in building ETL/ELT pipelines and working with large datasets. Highlight your proficiency in Python, SQL, and any other relevant technologies like Kafka or Airflow in your application.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at QuanTech Partners
✨Know Your Products Inside Out
Make sure you have a solid understanding of equities and commodities. Brush up on how they are priced, valued, and the market behaviours that influence them. This knowledge will not only help you answer questions confidently but also demonstrate your genuine interest in the role.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with ETL/ELT pipelines, especially using Python and pandas. Bring examples of past projects where you've built scalable data pipelines or managed complex datasets. This is your chance to shine, so don’t hold back!
✨Emphasise Collaboration
Since you'll be working closely with traders and quant researchers, highlight your teamwork skills. Share examples of how you've successfully collaborated in the past, especially in a fast-paced environment. This will show that you can thrive in their innovative culture.
✨Prepare for Problem-Solving Questions
Expect to face some tricky data challenges during the interview. Think about past issues you've resolved in data pipelines or quality assurance. Be ready to walk through your thought process and how you approached these problems, as this will showcase your analytical skills.