At a Glance
- Tasks: Develop scalable features for financial tools and collaborate with a dynamic team.
- Company: A fast-growing software company in London focused on FinTech.
- Benefits: Competitive salary, opportunities for ownership, and technical growth.
- Why this job: Join a startup environment and make a real impact in the FinTech space.
- Qualifications: 3+ years of Python experience and a relevant degree.
- Other info: Fast-paced environment with excellent career advancement opportunities.
The predicted salary is between 43200 - 72000 £ per year.
A growing software company in London is looking for a Python Backend Engineer to join their team. You will work on developing scalable features that improve financial tools, collaborating with engineers, product managers, and data scientists.
Ideal candidates will have:
- 3+ years of Python experience
- A degree in a relevant field
- Strong software engineering principles
This role in a fast-paced startup environment offers opportunities for ownership and technical growth.
Senior Python Backend Engineer - FinTech Data Platform in London employer: Runtime Group Ltd
Contact Detail:
Runtime Group Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python Backend Engineer - FinTech Data Platform in London
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. It’s all about making connections that can help us get our foot in the door.
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your Python projects. This gives us a chance to demonstrate our coding chops and passion for backend engineering.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and system design. We should practice coding challenges to feel confident when it’s our turn to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed directly by the hiring team. Let’s make it happen!
We think you need these skills to ace Senior Python Backend Engineer - FinTech Data Platform in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your 3+ years of Python experience in your application. We want to see how you've used Python to develop scalable features, so share specific examples that showcase your expertise!
Tailor Your Application: Don’t just send a generic application! We love it when candidates tailor their CV and cover letter to our job description. Mention your experience with financial tools and how you’ve collaborated with engineers and product managers in the past.
Highlight Your Engineering Principles: We’re looking for strong software engineering principles, so be sure to mention any relevant methodologies or practices you follow. This could include things like code reviews, testing, or agile development – let us know what makes you a solid engineer!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we’ll get your application directly into our system. Plus, it shows us you’re genuinely interested in joining our team!
How to prepare for a job interview at Runtime Group Ltd
✨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 real-world problems, especially in a FinTech context.
✨Understand the Company’s Products
Do some homework on the company’s financial tools and data platform. Familiarise yourself with their features and think about how you could contribute to improving them. This shows genuine interest and initiative.
✨Prepare for Technical Questions
Expect technical questions that test your software engineering principles. Practice coding challenges and be prepared to explain your thought process. This will demonstrate your problem-solving skills and technical expertise.
✨Show Your Collaborative Spirit
Since you'll be working closely with engineers, product managers, and data scientists, be ready to discuss your teamwork experiences. Share examples of how you've successfully collaborated in the past, highlighting your communication skills and adaptability.