At a Glance
- Tasks: Build Python-based data platforms and develop data pipelines for systematic trading.
- Company: Join a leading quantitative hedge fund in Greater London.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative culture with researchers and trading teams for innovative solutions.
- Why this job: Make an impact by enhancing data usability and reliability in a dynamic trading environment.
- Qualifications: Strong data engineering experience with Python, SQL, and AWS skills required.
The predicted salary is between 60000 - 80000 € per year.
Selby Jennings is hiring a Senior Data Engineer for a quantitative hedge fund in Greater London. This hands-on role focuses on building Python-based data platforms to support systematic trading.
Responsibilities include:
- Developing data pipelines
- Standardising datasets
- Ensuring data quality
Candidates should have strong experience in data engineering, proficient skills in Python and SQL, along with practical AWS experience. A collaborative approach with researchers and trading teams is essential for enhancing data usability and reliability.
Senior Data Engineer: Front‑Office Data Platform in London employer: Selby Jennings
Join a leading quantitative hedge fund in Greater London, where innovation meets collaboration. As a Senior Data Engineer, you'll thrive in a dynamic work culture that values your expertise in Python and data engineering, while offering ample opportunities for professional growth and development. Enjoy the unique advantage of working alongside top-tier researchers and trading teams, all within a supportive environment that prioritises data quality and usability.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer: Front‑Office Data Platform in London
✨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 hiring process.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and SQL projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on common data engineering questions and be ready to discuss your experience with AWS. Practising with a friend or using mock interview platforms can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly can sometimes speed up the process and get your application noticed faster.
We think you need these skills to ace Senior Data Engineer: Front‑Office Data Platform in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Python, SQL, and AWS in your application. We want to see how you've used these skills in real-world scenarios, so don’t hold back!
Tailor Your Application:Take a moment to customise your CV and cover letter for this role. Mention specific projects or experiences that relate to building data platforms and working with trading teams. It’ll make you stand out!
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon unless it’s relevant. We appreciate a well-structured application that gets straight to the point.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Selby Jennings
✨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 built data pipelines or worked with AWS. The more you can demonstrate your technical expertise, the better!
✨Showcase Your Collaboration Skills
Since this role involves working closely with researchers and trading teams, think of examples where you've successfully collaborated in the past. Highlight how your teamwork improved data usability and reliability, as this will resonate well with the interviewers.
✨Prepare for Practical Scenarios
Expect to face practical questions or case studies during the interview. Practice explaining your thought process when developing data platforms or standardising datasets. This will show your problem-solving skills and how you approach real-world challenges.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the current data challenges the team is facing or how they measure data quality. This shows your genuine interest in the role and helps you understand if it’s the right fit for you.
