Senior Python Backend Engineer: Real-Time Data
Senior Python Backend Engineer: Real-Time Data

Senior Python Backend Engineer: Real-Time Data

Full-Time 43200 - 72000 £ / year (est.) No home office possible
OpenSource

At a Glance

  • Tasks: Design and develop real-time data systems using Python, with full ownership from design to deployment.
  • Company: Fast-growing fintech company in London with a dynamic work culture.
  • Benefits: Competitive salary, autonomy in your role, and the chance to influence key decisions.
  • Why this job: Join a fast-paced environment where your skills can make a real impact on the business.
  • Qualifications: Strong Python experience and web-scraping skills are essential.
  • Other info: Great opportunity for career growth and professional development.

The predicted salary is between 43200 - 72000 £ per year.

A fast-growing fintech company in London is hiring a Senior Python Engineer to work on real-time data systems and external integrations. The role involves designing performant Python code, supporting production services, and taking ownership of software from design to deployment.

Ideal candidates will have strong Python experience and hands-on web-scraping skills. The company offers an opportunity to work in a fast-paced environment with significant autonomy and impact on commercial decisions.

Senior Python Backend Engineer: Real-Time Data employer: OpenSource

Join a dynamic fintech company in London that champions innovation and offers a vibrant work culture where your contributions truly matter. With a focus on employee growth, you will have access to continuous learning opportunities and the chance to influence key commercial decisions while working on cutting-edge real-time data systems. Enjoy the benefits of a fast-paced environment that values autonomy and fosters collaboration among talented professionals.
OpenSource

Contact Detail:

OpenSource Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Python Backend Engineer: Real-Time Data

✨Tip Number 1

Network like a pro! Reach out to people in the fintech space, 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 any that involve web-scraping or real-time data. This gives potential employers a taste of what you can do before they even meet you.

✨Tip Number 3

Prepare for technical interviews by brushing up on your Python knowledge and real-time data concepts. Practice coding challenges and be ready to discuss your past projects in detail—this is your chance to shine!

✨Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented engineers like you. Plus, it’s a great way to ensure your application gets seen by the right people.

We think you need these skills to ace Senior Python Backend Engineer: Real-Time Data

Python
Web Scraping
Real-Time Data Systems
Software Design
Production Support
Deployment
Performance Optimisation
Autonomy in Work

Some tips for your application 🫡

Show Off Your Python Skills: Make sure to highlight your strong Python experience in your application. We want to see examples of your work, especially any real-time data systems or web-scraping projects you've tackled.

Tailor Your Application: Don’t just send a generic CV! We love it when candidates tailor their applications to the role. Mention how your skills and experiences align with our needs for designing performant code and supporting production services.

Be Clear About Your Ownership Experience: We’re looking for someone who can take ownership from design to deployment. In your application, share specific instances where you’ve led projects or made significant contributions to software development.

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 during the process!

How to prepare for a job interview at OpenSource

✨Know Your Python Inside Out

Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with real-time data systems and any web-scraping projects you've worked on. They’ll likely ask you to solve coding problems, so practice writing clean, efficient code.

✨Showcase Your Problem-Solving Skills

Prepare to talk about how you've tackled challenges in past projects. Think of specific examples where you designed performant code or improved existing systems. This will demonstrate your ability to take ownership and make impactful decisions.

✨Understand the Company’s Tech Stack

Do some research on the fintech company and their tech stack. Familiarise yourself with the tools and technologies they use for real-time data processing. This shows that you're genuinely interested in the role and can hit the ground running.

✨Ask Insightful Questions

Prepare a few thoughtful questions to ask during the interview. Inquire about their approach to external integrations or how they handle production services. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.

Senior Python Backend Engineer: Real-Time Data
OpenSource

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