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- Tasks: Build and scale a global Data Lakehouse platform using AWS.
- Company: Leading systematic hedge fund in Greater London with a collaborative culture.
- Benefits: Market-leading compensation and a highly technical work environment.
- Why this job: Join a dynamic team and make an impact in the finance tech space.
- Qualifications: 5+ years of experience in Python and SQL, with strong data engineering skills.
- Other info: Opportunity to collaborate with quants and traders in a fast-paced setting.
The predicted salary is between 48000 - 84000 £ per year.
A leading systematic hedge fund in Greater London is seeking an experienced Data Engineer to build and scale its global Data Lakehouse platform. You will design and develop a scalable data platform in AWS, ensuring data quality across critical pipelines while collaborating with quants and traders.
Candidates should have over 5 years of experience, particularly in Python and SQL. The firm offers a highly technical and collaborative environment with market-leading compensation.
Senior Data Engineer: Quant Hedge Fund, AWS Lakehouse employer: Paragon Alpha - Hedge Fund Talent Business
Contact Detail:
Paragon Alpha - Hedge Fund Talent Business Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer: Quant Hedge Fund, AWS Lakehouse
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. A friendly chat can lead to insider info about job openings or even a referral, which can give you a leg up in the application process.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS, Python, and SQL. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your data engineering concepts. Practice coding challenges and be ready to explain your thought process. We all know that quants love a good analytical discussion!
✨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’re always on the lookout for talented individuals like you to join our team.
We think you need these skills to ace Senior Data Engineer: Quant Hedge Fund, AWS Lakehouse
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and SQL, as well as any relevant projects you've worked on in AWS. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our Data Lakehouse platform. Keep it concise but impactful – we love a good story!
Showcase Collaboration Skills: Since this role involves working closely with quants and traders, highlight any past experiences where you’ve collaborated with different teams. We value teamwork, so let us know how you’ve made a difference in a collaborative environment.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Paragon Alpha - Hedge Fund Talent Business
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these technologies, especially in building scalable data platforms. The more you can demonstrate your technical expertise, the better!
✨Understand the Business Context
Familiarise yourself with how a hedge fund operates, particularly in a systematic trading environment. Knowing how data impacts trading decisions will help you connect your technical skills to the firm's goals, showing that you're not just a techie but also understand the bigger picture.
✨Prepare for Collaborative Scenarios
Since the role involves working closely with quants and traders, think of examples where you've successfully collaborated with non-technical teams. Be ready to discuss how you’ve communicated complex data concepts in a way that’s easy for others to understand.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle some technical challenges during the interview. Practice explaining your thought process when solving data-related problems. This will highlight your analytical skills and ability to think on your feet, which is crucial in a fast-paced hedge fund environment.