At a Glance
- Tasks: Design and build backend services and data pipelines using Python.
- Company: Join a dynamic, research-driven engineering team in London.
- Benefits: Enjoy private health coverage, 25 days holiday, and enhanced parental leave.
- Other info: Collaborative environment with opportunities for mentorship and career growth.
- Why this job: Make a real impact by working on complex, data-intensive systems.
- Qualifications: 5+ years in backend systems, strong Python skills, and experience with streaming technologies.
The predicted salary is between 90000 - 105000 £ per year.
Location: London (in-office 4 days per week, non-negotiable)
Type: Full-time
Reports to: Head of Engineering
Salary: £90,000-£105,000 + benefits
Are you a Senior 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
Requirements
- 5+ years of experience 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
Compensation & Benefits
- 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 Slough employer: Talent Locker
Join a dynamic and innovative team in London as a Backend Software Engineer, where you'll have the opportunity to design and scale complex systems while working closely with data scientists and ML engineers. Our collaborative work culture fosters personal growth and technical excellence, supported by comprehensive benefits including private health coverage, generous holiday allowance, and enhanced parental leave. With a focus on mentorship and ownership, this role offers a unique chance to make a significant impact in a research-driven environment.
StudySmarter Expert Advice🤫
We think this is how you could land Backend Software Engineer - Python in Slough
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with Python or in backend engineering. A friendly chat can lead to referrals and insider info about job openings that might not even be advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines or streaming systems. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and understanding distributed systems concepts. Practice coding challenges and system design questions to demonstrate your expertise and problem-solving abilities.
✨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 and engaged with our company.
We think you need these skills to ace Backend Software Engineer - Python in Slough
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 designed and scaled complex systems, so don’t hold back on those details!
Showcase Your Projects:Include any relevant projects that demonstrate your skills in streaming systems or graph-based services. We love seeing real examples of your work, especially if they involve data-intensive platforms.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about backend engineering and how you can contribute to our team. Make it personal and engaging – we want to get to know you!
Apply Through Our Website:Don’t forget to apply 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
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and be ready to discuss your experience with streaming systems like Kafka. Be prepared to dive deep into your past projects, especially those involving real-time data processing and graph-based services.
✨Showcase Your Problem-Solving Skills
During the interview, expect to tackle some technical challenges. Think about how you've approached complex problems in the past and be ready to explain your thought process. This is your chance to demonstrate your ability to make independent technical decisions.
✨Emphasise Collaboration
Since this role involves working closely with data scientists and ML engineers, highlight your experience in collaborative environments. Share examples of how you've successfully worked in teams, mentored others, or contributed to engineering best practices.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the company's tech stack, team dynamics, or future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
