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- Tasks: Design and develop data platforms for cutting-edge quantitative research.
- Company: Leading trading firm in London with a focus on innovation.
- Benefits: Competitive compensation and a flexible hybrid work model.
- Why this job: Join a dynamic team and make an impact in the world of trading.
- Qualifications: Strong Python skills, experience with distributed systems, and a STEM degree.
- Other info: Exciting opportunities for growth in a fast-paced environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading trading firm in London is looking for an experienced Python Software Engineer to join their team. This role focuses on designing and developing data and research platforms that support quantitative research.
The candidate should possess strong Python skills, experience with distributed systems, and a degree in a STEM field. Competitive compensation and a hybrid work model are part of the offer.
Python Data Platform Engineer — Hybrid London employer: Hunter Bond
Contact Detail:
Hunter Bond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Data Platform Engineer — Hybrid London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your Python projects and contributions to open-source. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills, especially around distributed systems and data platforms. Practice common interview questions and maybe even do some mock interviews with friends.
✨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, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Python Data Platform Engineer — Hybrid London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python expertise in your application. We want to see how you've used Python in past projects, especially in data and research platforms. Don't hold back on the details!
Talk About Your Experience with Distributed Systems: If you've worked with distributed systems before, let us know! Share specific examples of how you've tackled challenges in this area. It’ll help us understand your problem-solving skills and technical know-how.
Keep It Relevant: Tailor your application to the job description. Focus on your STEM background and any relevant experience that aligns with designing and developing data platforms. We love seeing candidates who connect their skills directly to what we do!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from 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 ready to discuss your experience with Python in detail, including any specific libraries or frameworks you've used. Practising coding challenges can also help you demonstrate your problem-solving abilities.
✨Understand Distributed Systems
Since the role involves working with distributed systems, take some time to familiarise yourself with the concepts and technologies involved. Be prepared to explain how you've implemented or interacted with distributed systems in your previous roles, as this will show your depth of knowledge.
✨Research the Company and Its Culture
Before the interview, do a bit of homework on the trading firm. Understand their values, mission, and recent projects. This will not only help you tailor your answers but also show that you're genuinely interested in being part of their team.
✨Prepare Questions to Ask
Interviews are a two-way street, so think of insightful questions to ask your interviewers. Inquire about the team dynamics, the technologies they use, or how they approach quantitative research. This shows your enthusiasm for the role and helps you gauge if it's the right fit for you.
