At a Glance
- Tasks: Design and develop scalable financial tools using Python and cutting-edge technologies.
- Company: Dynamic software house in London focused on sustainability and profitability.
- Benefits: Competitive salary up to £90,000, flexible work model, and growth opportunities.
- Other info: Fast-paced startup culture with strong emphasis on collaboration and innovation.
- Why this job: Join a passionate team solving complex financial problems with innovative tech.
- Qualifications: 7+ years of Python experience and a degree in Comp Sci or STEM.
The predicted salary is between 90000 - 90000 € per year.
A Senior Python Backend Engineer is needed to join a growing software house in London who specialise in helping businesses reduce wasteful processes, costs and energy; and improve their ROI. Sustainability meets profitability.
Our client aims to change how corporate finance works, by replacing static, limited and often stale financial metrics with live data-driven insights sourced from direct connections to their clients' systems.
You will be joining a strong team of Back-end Python Engineers, Data Scientists, and financial experts, who are building the next generation of financial tools. If you're an experienced Software Engineer who's passionate about Python, excited by financial technology, and wants to solve complex problems, this could be for you.
As a Python Software Engineer, you will contribute to the design, development, and delivery of scalable, high-impact features across our platform. You'll work closely with experienced engineers, product managers, and data scientists to build reliable systems that solve complex financial problems. This role offers an excellent opportunity to deepen your technical expertise, take ownership of individual projects, and grow in a supportive, fast-paced startup environment.
Requirements:
- 1st class - 2:1 Degree in Comp Sci or STEM subject from a Top ranked University
- 7+ years of experience in Python development
- Tech: Python, FastAPI, Pydantic, PostgreSQL, Numpy, Pandas, AWS
- DevOps tools: Kubernetes, Docker, Terraform, Jenkins
- Very strong software engineering principles
- Enthusiasm for startup environment and cross-functional teams
- Passion for automation and data infrastructure
Senior Python Developer in London employer: LinkedIn
Join a dynamic software house in London that is at the forefront of transforming corporate finance through innovative technology. With a strong emphasis on sustainability and profitability, this company fosters a collaborative work culture where you can thrive alongside talented engineers and financial experts. Enjoy flexible working arrangements, competitive salary packages, and ample opportunities for professional growth in a supportive startup environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Python Developer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with Python or in financial technology. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your Python projects, especially those using Pydantic, PostgreSQL, or any relevant tech. This gives potential employers a sneak peek into your coding style and problem-solving abilities.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common coding challenges and be ready to discuss how you've tackled complex problems in past roles. We want you to shine!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Python Developer in London
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your experience with Python and any relevant frameworks like FastAPI or Pydantic. We want to see how you've used these skills in real projects, so don’t hold back on the details!
Tailor Your CV:Customise your CV to match the job description. Use keywords from the listing, especially around your experience with PostgreSQL, Numpy, and Pandas. This helps us see that you’re a perfect fit for our team.
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re excited about this role. Share your passion for financial technology and how you can contribute to our mission of sustainability meeting profitability.
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 from our team!
How to prepare for a job interview at LinkedIn
✨Know Your Tech Stack Inside Out
Make sure you’re well-versed in Python, Pydantic, PostgreSQL, and the other technologies mentioned in the job description. Brush up on your knowledge of FastAPI, Numpy, and Pandas, as these will likely come up during technical discussions. Being able to demonstrate your expertise will show that you're a strong candidate.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems using Python. Think about projects where you improved processes or delivered impactful features. This is your chance to highlight your experience and how it aligns with the company's mission to enhance financial tools.
✨Understand the Company’s Vision
Research the company’s approach to sustainability and profitability. Be ready to discuss how your skills can contribute to their goal of transforming corporate finance with live data-driven insights. Showing that you understand their mission will set you apart from other candidates.
✨Be Ready for Team Dynamics
Since you'll be working closely with engineers, product managers, and data scientists, prepare to talk about your experience in cross-functional teams. Share examples of how you’ve collaborated effectively in the past, and express your enthusiasm for working in a startup environment.
