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- Tasks: Build and optimise data platforms using Python for cutting-edge research.
- Company: Boutique prop trading firm in London with a focus on engineering excellence.
- Benefits: Competitive pay, great benefits, and a flexible hybrid work model.
- Why this job: Join a collaborative team and make an impact in quantitative research.
- Qualifications: Experience in Python and a passion for data engineering.
- Other info: Dynamic environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A boutique prop trading firm in London seeks a Python Software Engineer to build distributed data and research platforms. This role emphasizes engineering quality and scalability to support quantitative research.
Key responsibilities include:
- Designing Python systems
- Optimizing data pipelines
- Collaboration with research teams
The position offers competitive compensation, benefits, and a hybrid work model, focusing on engineering excellence in a collaborative environment.
Python Data Engineer for Research Platforms employer: Hunter Bond
Contact Detail:
Hunter Bond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Data Engineer for Research Platforms
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in prop trading or data engineering. 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 projects, especially those related to data pipelines or research platforms. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding distributed systems. Practise common interview questions and scenarios that relate to data engineering to boost your confidence.
✨Tip Number 4
Don't forget to apply through our website! We love seeing passionate candidates who are eager to join our team. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace Python Data Engineer for Research Platforms
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your experience with Python in your application. We want to see how you've used it to build systems or optimise data pipelines, so don’t hold back on the details!
Emphasise Collaboration: Since this role involves working closely with research teams, let us know about your teamwork experiences. Share examples of how you’ve collaborated on projects and contributed to engineering excellence.
Focus on Quality and Scalability: We’re all about building robust systems, so mention any past projects where you prioritised quality and scalability. This will show us that you understand the importance of these aspects in a trading environment.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get the ball rolling on your journey with us.
How to prepare for a job interview at Hunter Bond
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be prepared to discuss your experience with building systems and optimising data pipelines, as these are crucial for the role. Practise coding challenges that focus on data structures and algorithms to showcase your technical prowess.
✨Understand the Company’s Focus
Research the boutique prop trading firm and its approach to quantitative research. Familiarise yourself with their projects and how they leverage data platforms. This will not only help you answer questions more effectively but also demonstrate your genuine interest in the company and its mission.
✨Prepare for Collaborative Scenarios
Since the role involves collaboration with research teams, think of examples from your past experiences where teamwork was key. Be ready to discuss how you’ve worked with others to solve problems or improve processes, highlighting your communication skills and ability to work in a hybrid environment.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your enthusiasm for the role. Inquire about the engineering practices they value, the tools they use for data management, or how they measure success in their projects. This shows you’re not just interested in the job, but also in contributing to their engineering excellence.
