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- Tasks: Build high-performance solutions for real-time data in a collaborative environment.
- Company: Join an elite FinTech firm with a friendly and innovative culture.
- Benefits: Enjoy a competitive salary, hybrid working, and an uncapped tech budget.
- Other info: Great career growth opportunities in a beautiful office setting.
- Why this job: Make an impact on cutting-edge projects while working with like-minded engineers.
- Qualifications: 4-15 years of experience in software engineering, especially with distributed systems.
An Elite FinTech firm is looking for a highly skilled Software Engineer with extensive experience working with large volumes of data and highly distributed systems to join a passionate group of technologists as a part of their exceptional team!
This team has an uncapped tech budget, promotes a great culture and is made up of exceptional like-minded engineers!
What You'll Be Working On:
- Building out high performance solutions for a mission-critical environment dealing with multi-petabytes worth of data
- Working heavily in Python but also gaining exposure to other languages such as Rust and Go
- Working on a brand new greenfield ML platform
Desired Skills:
- 4 – 15 years of experience as a Software Engineer with specific focus on distributed systems or high volumes of data
- Any knowledge of ML or MLOps is a huge plus
Seniority Level: Mid-Senior level
Employment Type: Full-time
Job Function: Finance, Information Technology, and Engineering
Industries: Financial Services, Software Development, and IT System Data Services
Python Developer - Real-Time Data/Distributed Systems) - 1st Year Compensation - El[...] in London employer: Hunter Bond
Contact Detail:
Hunter Bond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Developer - Real-Time Data/Distributed Systems) - 1st Year Compensation - El[...] in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the FinTech space, especially those who work at companies you're interested in. A friendly chat can sometimes lead to job opportunities that aren't even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving real-time data or distributed systems. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding distributed systems. Practice common algorithms and data structures, and be ready to discuss your past projects in detail.
✨Tip Number 4
Don't forget to apply through our website! We have loads of exciting opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Python Developer - Real-Time Data/Distributed Systems) - 1st Year Compensation - El[...] in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of a Python Developer. Highlight your experience with distributed systems and handling large volumes of data, as these are key for us at StudySmarter.
Showcase Your Projects: Include any relevant projects you've worked on, especially those involving real-time data or greenfield developments. We love seeing what you've built and how you’ve tackled challenges!
Craft a Compelling Cover Letter: Your cover letter should reflect your passion for technology and your fit for our collaborative environment. Let us know why you're excited about this opportunity and how you can contribute to our team.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Hunter Bond
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially in the context of real-time data and distributed systems. Be prepared to discuss your past projects and how you've tackled challenges with large volumes of data.
✨Familiarise Yourself with Distributed Systems
Since this role focuses heavily on distributed systems, take some time to understand the principles behind them. Be ready to explain how you've implemented or worked with these systems in your previous roles.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've solved complex problems, particularly in high-pressure environments. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions about the team culture, the tech stack, or the greenfield projects you'll be working on. This shows your genuine interest in the role and helps you assess if it's the right fit for you.