At a Glance
- Tasks: Design and scale complex systems in a research-driven engineering team.
- Company: Join The Talent Locker, a forward-thinking tech company in London.
- Benefits: Enjoy a competitive salary and great benefits.
- Other info: Be part of a dynamic team with opportunities for growth and innovation.
- Why this job: Take ownership of projects and collaborate with data scientists on real-time data systems.
- Qualifications: 5+ years in backend development, strong Python skills, and knowledge of streaming tech like Kafka.
The predicted salary is between 60000 - 80000 £ per year.
The Talent Locker is looking for a Senior Backend Software Engineer in London. The role involves designing and scaling complex systems as part of a research-driven engineering team. You will take ownership from architecture to production while collaborating with data scientists.
Ideal candidates will have:
- 5+ years of experience in building Back End systems
- Strong proficiency in Python
- Familiarity with streaming technologies like Kafka
The position offers competitive salary and benefits.
Senior Python Backend Engineer – Real-Time Data Systems in London employer: The Talent Locker
The Talent Locker is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. With a strong emphasis on employee growth, we provide ample opportunities for professional development and skill enhancement, particularly in cutting-edge technologies. Our competitive salary and benefits package, combined with the chance to work on impactful real-time data systems, makes us an attractive choice for talented engineers seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Python Backend Engineer – Real-Time Data Systems in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with real-time data systems. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects, especially those involving streaming technologies like Kafka. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on system design and architecture principles. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨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 take that extra step!
We think you need these skills to ace Senior Python Backend Engineer – Real-Time Data Systems in London
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 robust backend systems, so don’t hold back on the details!
Talk About Your Experience:With 5+ years of experience being a must, share specific projects where you’ve designed and scaled complex systems. We love seeing real-world examples that demonstrate your expertise.
Mention Streaming Technologies:If you’ve worked with streaming technologies like Kafka, give us the lowdown! We’re keen to know how you’ve integrated these into your projects and the impact they had.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at The Talent Locker
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your past projects and how you've used Python to solve complex problems. Practising coding challenges can also help you demonstrate your proficiency.
✨Familiarise Yourself with Streaming Technologies
Since the role involves working with streaming technologies like Kafka, it’s crucial to understand how they work. Prepare to discuss your experience with these tools and be ready to explain how you would implement them in real-time data systems.
✨Showcase Your System Design Skills
Be prepared to talk about system architecture and design. Think of examples from your previous work where you’ve designed scalable systems. You might even want to sketch out a system design during the interview to illustrate your thought process.
✨Collaboration is Key
This role involves working closely with data scientists, so highlight your teamwork skills. Share examples of how you’ve collaborated with others in the past, especially in cross-functional teams, to show that you can communicate effectively and contribute to a research-driven environment.
