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.
- Why this job: Take ownership of projects from architecture to production and collaborate with data scientists.
- Qualifications: 5+ years in Back End systems, 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 employer: The Talent Locker
The Talent Locker is an exceptional employer, offering a dynamic work environment in London where innovation and collaboration thrive. With a strong focus on employee growth, we provide ample opportunities for professional development and the chance to work alongside talented data scientists on cutting-edge real-time data systems. Our competitive salary and benefits package, combined with a culture that values research-driven engineering, make us an attractive choice for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Python Backend Engineer – Real-Time Data Systems
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with Python or real-time data systems. A friendly chat can lead to referrals and insider info about job openings.
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your projects, especially those involving Python and streaming technologies like Kafka. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on system design and coding challenges. We recommend practicing with platforms that focus on backend engineering problems to get you in the zone.
✨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 Python Backend Engineer – Real-Time Data Systems
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, we’d love to hear about your past projects. Share specific examples where you’ve designed and scaled complex systems, especially if they involved real-time data.
Familiarity with Streaming Tech:If you’ve worked with streaming technologies like Kafka, make sure to mention it! We’re keen on candidates who can integrate these tools into their work, so give us the lowdown on your experience.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
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 technologies 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 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 cross-functional teams in the past and how you approach problem-solving in a team setting.
