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.
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 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
✨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 might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and SQL projects. Whether it's a data pipeline you've built or a dataset you've standardised, having tangible examples will make you stand out.
✨Tip Number 3
Prepare for technical interviews by brushing up on AWS and data engineering concepts. We recommend doing mock interviews with friends or using online platforms to get comfortable with the types of questions you might face.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer: Front‑Office Data Platform
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. Having concrete examples will show your hands-on experience and technical prowess.
✨Understand the Business Context
Familiarise yourself with how quantitative hedge funds operate, especially in systematic trading. Knowing how your role as a Senior Data Engineer fits into the bigger picture will impress the interviewers and demonstrate your commitment to the position.
✨Collaborate Like a Pro
Since this role requires working closely with researchers and trading teams, be prepared to discuss your collaborative experiences. Share examples of how you've enhanced data usability and reliability through teamwork, as this will highlight your interpersonal skills.
✨Prepare Questions That Matter
Think of insightful questions to ask during the interview. 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 helps you assess if it's the right fit for you.
