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- Tasks: Build scalable data systems and automate financial workflows using Python and Azure.
- Company: Leading UK tech company focused on innovation and automation.
- Benefits: Competitive day rate of £500, remote work flexibility, and long-term engagement.
- Why this job: Join a dynamic team and make a real difference in financial processes.
- Qualifications: Experience with Python, strong architecture skills, and Docker familiarity.
- Other info: Exciting opportunity for growth in a fast-paced tech environment.
The predicted salary is between 40000 - 60000 £ per year.
A leading technology company in the United Kingdom is seeking a Back End Engineer specializing in Python and Azure. You will deliver scalable data infrastructure and transform financial processes into automated workflows.
The ideal candidate has:
- Extensive production experience with Python
- Strong architecture skills
- Familiarity with containerization using Docker
This remote position offers a day rate of around £500, ideal for a medium to long-term engagement.
Remote Python & Azure Backend Engineer for Scalable Systems employer: Toucanberry Tech
Contact Detail:
Toucanberry Tech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Python & Azure Backend Engineer for Scalable Systems
✨Tip Number 1
Network like a pro! Reach out to fellow engineers and tech enthusiasts on LinkedIn or relevant forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects or any Azure work you've done. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on common backend engineering questions, especially around Python and Azure. Practising coding challenges can also help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, applying directly can sometimes give you a better chance of getting noticed.
We think you need these skills to ace Remote Python & Azure Backend Engineer for Scalable Systems
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 how you've used it in real-world projects, especially in scalable systems. Don't hold back on the details!
Talk About Azure Experience: If you've worked with Azure, let us know! Share specific examples of how you've leveraged Azure for backend solutions. This will help us understand your familiarity with the platform and its capabilities.
Containerization is Key: Since we're looking for someone with Docker experience, be sure to mention any projects where you've used containerization. We love seeing how you’ve implemented it to improve workflows or scalability.
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 us. Let’s get started!
How to prepare for a job interview at Toucanberry Tech
✨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 scalable systems.
✨Show Off Your Azure Expertise
Familiarise yourself with Azure services relevant to backend development. Be prepared to explain how you've leveraged Azure for building scalable data infrastructure and automating workflows in previous roles.
✨Containerization is Key
Since containerization using Docker is a must-have, ensure you can talk about your experience with it. Discuss how you've used Docker to streamline development processes and improve deployment efficiency.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that test your problem-solving skills. Think of examples where you've had to architect solutions under pressure or optimise existing systems, and be ready to walk through your thought process.