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- Tasks: Design and optimise high-performance analytics and data workflows using Python.
- Company: Well-known FinTech Software Company with a focus on innovation.
- Benefits: Generous bonus scheme, flexible hours, training fund, and private medical insurance.
- Why this job: Join a dynamic team working on cutting-edge SaaS products in the finance sector.
- Qualifications: Mid-level Python development experience and knowledge of cloud services like Azure.
- Other info: Hybrid work model with a collaborative environment in Central London.
The predicted salary is between 28800 - 48000 £ per year.
Python Developer with Cloud knowledge are wanted by a well known FinTech Software Company, working on a suite of new SaaS Insurance focused products. We’re looking for a Mid-Level Python Developer to help design, build, and optimise high-performance analytics and data workflows. You’ll work closely with actuaries, analysts, and data scientists to deliver scalable, production-ready solutions in a domain-rich environment. Working on a greenfield SaaS platform, which is used by nearly every major Financial Services / Insurance / ReInsurance organisation. The team are hot on best practices and code quality, actually giving their Engineers the time and freedom to implement these.
Responsibilities:
- Build and enhance Python-based analytics features with a focus on performance and scalability
- Improve integration between Python and C# systems, refactoring where needed
- Optimise complex data workflows and large-scale calculations
- Review code, share best practices, and support team development
- Champion strong engineering practices including testing, CI/CD, and clean design
- Explore new technologies and contribute to continuous improvement
Technical Overview:
- Strong experience writing production-quality Python
- Proven ability to work with large datasets and performance-critical workloads
- Experience with Azure services (e.g. Functions, Batch, Storage, Cosmos DB)
- Solid grounding in software engineering best practices
- Curious, proactive problem solver with a user-focused mindset
Package:
- Generous Bonus Scheme
- 14% Pension
- Flexible hours
- Training Fund
- Life Assurance
- Private Medical Insurance
- Volunteering
- Electric Car Scheme
Working on a hybrid model, the team goes on-site 2 days a week in the modern Central London hub. Your colleagues will also be on-site, so there is some meaning, collaboration and meaning. It will be a 2 stage interview process, which has been designed to be as quick and pain free as possible. If you are interested in applying for this opportunity and would like to find out more information, please click the apply button and a Spencer Scott Associate will be in touch.
Spencer Scott Ltd is an equal opportunity Recruitment Agency, which means we do not discriminate on the basis of race, colour, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression. We celebrate diversity and are committed to creating inclusive working environments for all our clients.
Python Developer employer: Spencer Scott - Technology Recruitment
Contact Detail:
Spencer Scott - Technology Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Developer
✨Tip Number 1
Network like a pro! Reach out to your connections in the FinTech space, especially those who work with Python or in similar roles. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your Python projects, especially any that involve cloud services like Azure. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of best practices in software engineering. Be ready to discuss how you’ve implemented testing, CI/CD, and clean design in your past projects.
✨Tip Number 4
Don’t forget to apply through our website! It’s the quickest way to get your application noticed, and we’re here to help you every step of the way. Plus, it shows you’re serious about joining the team!
We think you need these skills to ace Python Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python experience and any cloud knowledge you have. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this opportunity and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Problem-Solving Skills: In your application, mention specific examples where you've tackled complex problems or optimised workflows. We’re looking for curious, proactive problem solvers, so let us know how you fit the bill!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Spencer Scott - Technology Recruitment
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with production-quality code and how you've tackled performance-critical workloads. They’ll likely ask you to solve coding problems, so practice those algorithms and data structures!
✨Familiarise Yourself with Cloud Technologies
Since this role involves working with Azure services, it’s crucial to have a solid understanding of them. Review how Azure Functions, Batch, and Cosmos DB work, and be prepared to discuss how you’ve used these technologies in past projects or how you would approach integrating them into your workflows.
✨Showcase Your Problem-Solving Skills
This company values curious and proactive problem solvers. Think of examples from your previous work where you identified a problem and implemented a solution. Be ready to explain your thought process and the impact of your solutions on the team or project.
✨Emphasise Team Collaboration
As you'll be working closely with actuaries, analysts, and data scientists, highlight your experience in collaborative environments. Share examples of how you’ve contributed to team development, shared best practices, or championed strong engineering practices like testing and CI/CD.