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- Tasks: Develop and maintain Python applications for data-driven sports analytics.
- Company: Exciting sports-focused organisation in Greater London.
- Benefits: Competitive pay, flexible hours, and the chance to work on impactful projects.
- Why this job: Join a dynamic team and contribute to innovative sports technology solutions.
- Qualifications: Strong Python skills and experience with Django or Flask required.
- Other info: Opportunity to work with large datasets in a collaborative environment.
The predicted salary is between 36000 - 60000 £ per year.
A sports-focused organisation in Greater London seeks a Python Developer on a contract basis to support the development of data-driven backend systems. In this role, you will develop and maintain Python-based applications and collaborate with various teams to deliver high-quality solutions.
Strong commercial experience with Python and familiarity with frameworks like Django and Flask are essential. Experience in cloud environments and working with large datasets is advantageous.
Python Backend Engineer - Sports Analytics (Contract) employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Backend Engineer - Sports Analytics (Contract)
✨Tip Number 1
Network like a pro! Reach out to folks in the sports analytics field on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that Python Backend Engineer gig.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those using Django or Flask. We want to see your coding chops in action, so make sure to highlight any data-driven applications you've built.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python knowledge and cloud environments. We recommend practicing coding challenges and discussing your past experiences with large datasets to impress your interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. We’re excited to help you take the next step in your career as a Python Developer in the sports world!
We think you need these skills to ace Python Backend Engineer - Sports Analytics (Contract)
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your experience with Python in your application. We want to see your commercial experience and any projects you've worked on, especially if they involve frameworks like Django or Flask.
Tailor Your Application: Don’t just send a generic application! Customise your CV and cover letter to reflect the specific requirements of the Python Backend Engineer role. Mention your familiarity with cloud environments and handling large datasets if applicable.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid fluff and focus on what makes you a great fit for the role.
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’re considered for the position without any hiccups!
How to prepare for a job interview at Oliver Bernard
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python, especially in relation to backend development. Prepare to showcase any projects you've worked on that highlight your proficiency with frameworks like Django and Flask.
✨Showcase Your Data Skills
Since this role involves working with large datasets, be prepared to talk about your experience handling data. Think of specific examples where you've used Python to manipulate or analyse data, and be ready to explain your approach and the tools you used.
✨Familiarise Yourself with Cloud Environments
If you have experience with cloud platforms, make sure to mention it! Research the specific cloud technologies the organisation uses, and be ready to discuss how you've leveraged cloud environments in your previous roles to enhance application performance.
✨Collaboration is Key
This role requires collaboration with various teams, so be prepared to discuss your teamwork experiences. Think of examples where you've successfully worked with others to deliver a project, and highlight your communication skills and how you handle feedback.
