At a Glance
- Tasks: Design and build backend services and data pipelines using Python.
- Company: Dynamic tech company in London with a focus on innovation.
- Benefits: Competitive salary, private health coverage, 25 days holiday, and more perks.
- Other info: In-office role with excellent career growth opportunities.
- Why this job: Join a small team and make a real impact on complex systems.
- Qualifications: Strong Python skills and experience with streaming systems required.
The predicted salary is between 90000 - 105000 £ per year.
Location: London (in-office 4 days per week, non-negotiable) - Office is near Holborn EC1 - Please do not apply if you cannot get to the office 4 days (Mon-Thursday) per week
Type: Full-time
Reports to: Head of Engineering
Salary: £90,000-£105,000 + benefits
Are you a Senior Python Backend Engineer who thrives on designing and scaling complex systems? Do you enjoy working on data-intensive platforms involving real-time pipelines, streaming architectures, and graph-based services?
This is a hands-on role within a small, research-driven engineering team working on high-complexity systems. You will take ownership of key components from architecture through to production, while contributing to the overall technical direction.
Key Responsibilities- Design, build, and own backend services and data pipelines in Python
- Develop and operate streaming systems using Kafka or similar technologies
- Work with graph-based data structures and algorithms to support analytics and decision-making
- Build reliable, scalable systems that process real-time data from distributed edge devices
- Lead technical decisions across architecture, tooling, and system design
- Collaborate with data scientists and ML engineers to deploy models into production
- Mentor engineers and contribute to engineering best practices
- Improve observability, monitoring, and incident response processes
- Write maintainable, well-tested code and contribute to code reviews
- In depth experience of building and operating backend systems in production
- Strong proficiency in Python
- Experience with streaming systems (Kafka, Pulsar, or similar)
- Familiarity with graph data structures and algorithms
- Experience working with databases (MongoDB or similar)
- Solid understanding of distributed systems concepts and trade-offs
- Proven experience owning systems end-to-end
- Experience with Git and collaborative development workflows
- Ability to make independent technical decisions and clearly communicate trade-offs
- Comfortable working in a small, high-ownership team environment
- Private health and dental coverage
- 25 days holiday
- Enhanced parental leave
- High-quality hardware
- Additional perks (workspace benefits, team events, and more)
Backend Software Engineer - Python in London employer: Talent Locker Ltd
Join a dynamic and innovative team in London as a Backend Software Engineer, where you'll enjoy a collaborative work culture that prioritises employee growth and development. With competitive salaries and comprehensive benefits including private health coverage and generous holiday allowances, this role offers the chance to work on cutting-edge technology while being part of a supportive environment that values your contributions and encourages mentorship.
StudySmarter Expert Advice🤫
We think this is how you could land Backend Software Engineer - Python in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work at companies you're interested in. A friendly chat can lead to referrals, which can significantly boost your chances of landing that Backend Software Engineer role.
✨Tip Number 2
Prepare for technical interviews by brushing up on your Python skills and understanding streaming systems like Kafka. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format and types of questions you might face.
✨Tip Number 3
Showcase your projects! If you've built any backend services or worked with data pipelines, make sure to highlight these in conversations. We love seeing real-world applications of your skills, so be ready to discuss your contributions and the impact they had.
✨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, it shows you’re genuinely interested in joining our team and contributing to our exciting projects.
We think you need these skills to ace Backend Software Engineer - Python in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and backend systems. We want to see how you've tackled complex projects, so don’t hold back on the details!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you're passionate about backend engineering and how your skills align with our needs. Keep it engaging and personal.
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them! Whether it's a personal project or something from your previous job, we love seeing real-world applications of your skills.
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Talent Locker Ltd
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with backend systems and how you've used Python in real-world applications. Prepare to showcase specific projects where you've designed and built services, as this will demonstrate your hands-on expertise.
✨Familiarise Yourself with Streaming Systems
Since the role involves working with streaming technologies like Kafka, it’s crucial to understand how these systems operate. Be prepared to discuss any relevant experience you have with streaming architectures and how you've implemented them in past projects. This will show that you can hit the ground running.
✨Understand Distributed Systems Concepts
Get a solid grasp of distributed systems concepts and be ready to talk about trade-offs you've encountered in your previous work. Think about scenarios where you had to make decisions regarding system design and how those choices impacted performance and reliability.
✨Show Your Collaborative Spirit
This role requires collaboration with data scientists and ML engineers, so be prepared to discuss how you've worked in cross-functional teams. Share examples of how you've mentored others or contributed to engineering best practices, as this will highlight your ability to thrive in a small, high-ownership team environment.
