At a Glance
- Tasks: Build Python-based data pipelines and ensure data quality for trading teams.
- Company: Top quantitative hedge fund with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with excellent career advancement potential.
- Why this job: Join a dynamic team and make a real impact in the trading world.
- Qualifications: Strong experience in data engineering, Python, SQL, and AWS.
The predicted salary is between 70000 - 90000 € per year.
Jobs via eFinancialCareers is seeking a Senior Data Engineer to join a top quantitative hedge fund. This role involves building Python-based data pipelines and ensuring data quality for systematic trading groups.
Candidates should have strong experience in data engineering, with excellent Python and SQL skills, and practical AWS experience. This hands-on role is pivotal in improving existing data platforms, collaborating closely with researchers and trading teams in London.
Senior Data Platform Engineer: Front‐Office Trading Pipelines in London employer: Jobs via eFinancialCareers
Join a leading quantitative hedge fund in London, where innovation meets collaboration. As a Senior Data Platform Engineer, you'll thrive in a dynamic work culture that values your expertise and encourages professional growth through challenging projects and mentorship. Enjoy competitive benefits and the unique opportunity to work at the forefront of trading technology, making a meaningful impact on the financial markets.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Platform Engineer: Front‐Office Trading Pipelines 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 might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and SQL projects, especially any data pipelines you've built. 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 AWS and data quality concepts. Practice coding challenges related to data engineering to ensure you're ready to impress when it comes to hands-on assessments.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, applying directly can sometimes give you a leg up in the hiring process.
We think you need these skills to ace Senior Data Platform Engineer: Front‐Office Trading Pipelines in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your Python and SQL expertise in your application. We want to see how your experience aligns with building data pipelines and ensuring data quality, so don’t hold back!
Tailor Your Application:Take a moment to customise your CV and cover letter for this role. Mention any relevant experience with AWS and how you've collaborated with teams in the past. It helps us see you as a perfect fit!
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to describe your previous projects and achievements. 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 this exciting opportunity with our team!
How to prepare for a job interview at Jobs via eFinancialCareers
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering fundamentals. Be ready to discuss your experience with Python and SQL, as well as any specific projects where you've built data pipelines. Highlight how you've ensured data quality in past roles, as this will be crucial for the position.
✨Showcase Your AWS Experience
Since practical AWS experience is a must-have for this role, prepare to talk about your hands-on work with AWS services. Think of specific examples where you've used AWS to improve data platforms or streamline processes. This will demonstrate your capability to handle the technical demands of the job.
✨Collaborate Like a Pro
This role involves working closely with researchers and trading teams, so be ready to discuss your collaboration skills. Share examples of how you've successfully worked in cross-functional teams, especially in high-pressure environments like trading. This will show that you can thrive in their fast-paced setting.
✨Prepare Questions That Matter
Interviews are a two-way street, so come prepared with insightful questions. Ask about the current challenges the trading teams face with their data pipelines or how they measure success in this role. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
