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 creativity and technical excellence, offering ample opportunities for professional growth and development. Enjoy competitive benefits and the unique advantage of working alongside top-tier researchers and trading teams, all while contributing to cutting-edge data solutions in the heart of the financial district.
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 job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and SQL projects, especially any data pipelines you've built. This is your chance to demonstrate your hands-on experience and make a lasting impression.
✨Tip Number 3
Prepare for technical interviews by brushing up on AWS and data quality 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 by the right people. Plus, we love seeing candidates who are proactive about their job search!
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 skills in your application. We want to see how you've used these tools in real-world scenarios, especially in data engineering roles.
Tailor Your Experience:When writing your application, focus on your experience with AWS and any relevant projects you've worked on. We love seeing how you’ve tackled challenges in building data pipelines!
Collaborate and Communicate:Since this role involves working closely with researchers and trading teams, mention any collaborative projects you've been part of. We value teamwork and clear communication!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and get to know you better. We can’t wait to see what you bring to the table!
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. Having concrete examples will show your expertise and help you stand out.
✨Showcase Your AWS Skills
Since practical AWS experience is crucial for this role, be prepared to talk about how you've used AWS in past projects. Highlight any specific services you've worked with, like S3 or Redshift, and how they contributed to the success of your data platforms.
✨Collaborate Like a Pro
This role involves working closely with researchers and trading teams, so demonstrate your teamwork skills. Share examples of how you've collaborated with different stakeholders in previous roles, and how you’ve managed to bridge the gap between technical and non-technical team members.
✨Prepare for Technical Challenges
Expect some technical questions or challenges during the interview. Practice coding problems related to data pipelines and be ready to explain your thought process. This will not only showcase your problem-solving skills but also your ability to communicate complex ideas clearly.
