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- Tasks: Design and develop finance-focused backend solutions using Python and Django.
- Company: Join HeadHR, a forward-thinking company in Manchester.
- Benefits: Competitive salary, flexible working hours, and opportunities for growth.
- Other info: Collaborative team environment with exciting projects.
- Why this job: Make an impact in finance tech while honing your Python skills.
- Qualifications: Strong Python and Django experience, with knowledge of API development.
The predicted salary is between 50000 - 65000 £ per year.
HeadHR is seeking a Python Developer in Manchester to design, develop, and maintain finance-focused backend solutions using Python and Django.
Responsibilities include:
- Integrating external systems and APIs
- Writing high-quality code
- Participating in peer reviews
The ideal candidate should have:
- Strong Python skills with experience in Django on large-scale applications
- A solid understanding of API development and automated testing
- Familiarity with AWS services is a plus
Senior Python Engineer: Scalable Finance Backend in Manchester employer: HeadHR
Contact Detail:
HeadHR Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python Engineer: Scalable Finance Backend in Manchester
✨Tip Number 1
Network like a pro! Reach out to fellow developers, attend meetups, and connect with people in the finance tech space. You never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your Python projects, especially those using Django. 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 coding skills and understanding API development. Practice common interview questions and consider mock interviews to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Senior Python Engineer: Scalable Finance Backend in Manchester
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your strong Python skills in your application. We want to see how you've used Python and Django in large-scale applications, so don’t hold back on the details!
Talk About Your Experience with APIs: Since integrating external systems and APIs is a big part of the role, share specific examples of your experience with API development. We love seeing how you’ve tackled challenges in this area!
Quality Over Quantity: When it comes to writing high-quality code, we’re all about quality over quantity. Include examples of your best work and any peer reviews you’ve participated in to show us your commitment to excellence.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at HeadHR
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Django and how you've used it in large-scale applications. Prepare to showcase your understanding of best practices in writing high-quality code.
✨API Development is Key
Since the role involves integrating external systems and APIs, be prepared to talk about your experience in API development. Think of specific examples where you've successfully implemented APIs and how they improved the functionality of your projects.
✨Automated Testing Matters
Familiarise yourself with automated testing frameworks that you've used in your previous projects. Be ready to explain how these frameworks helped ensure the quality of your code and how you approach testing in your development process.
✨AWS Knowledge is a Bonus
If you have experience with AWS services, make sure to highlight it during the interview. Discuss any projects where you've utilised AWS and how it contributed to the scalability and efficiency of your backend solutions.