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 experience in data engineering, Python, SQL, and practical AWS skills.
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 and encourages professional growth through challenging projects and continuous learning opportunities. Enjoy competitive benefits and the unique advantage of working alongside top-tier researchers and trading teams, all while contributing to cutting-edge data solutions that drive systematic trading success.
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 folks in the industry, especially those working at hedge funds or in data engineering roles. A friendly chat can open doors and give you insights that job descriptions just can't.
✨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, let your work speak for itself. This is your chance to shine beyond the CV!
✨Tip Number 3
Prepare for the technical grill! Brush up on your data engineering concepts and be ready for coding challenges. Practising common interview questions can help you feel more confident when it’s time to impress.
✨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 give you an edge over other candidates.
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 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’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 detailed examples you can provide, 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 contributions improved data usability and reliability.
✨Prepare for Technical Questions
Expect some technical questions that test your understanding of data engineering concepts. Practice explaining complex ideas simply, as you might need to communicate these to non-technical team members.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the current challenges the team faces with their data platforms or how they measure data quality. This shows your genuine interest in the role and the company.
