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For Companies At a Glance
- Tasks: Design and scale backend systems, build automated solutions for financial reporting.
- Company: Dynamic tech firm in London with a hybrid work culture.
- Benefits: Salary up to £80k, strong benefits, hybrid working, and training support.
- Other info: Great career growth opportunities in a collaborative environment.
- Why this job: Join a team that transforms complex financial data into reliable software solutions.
- Qualifications: Strong Python skills and experience with backend systems or data pipelines.
The predicted salary is between 80000 - 80000 £ per year.
We are seeking a Backend Engineer to design and scale backend systems, helping to build automated solutions for regulatory reporting and risk platforms. You will play a key role in developing data pipelines, improving system architecture, and turning complex financial requirements into reliable, production-grade software.
DUTIES & RESPONSIBILITIES
- Develop and maintain Python backend services and data pipelines
- Build automation workflows for reporting and data processing
- Work with financial datasets (CSV, Excel, APIs, databases)
- Ensure code quality through reviews and best practices
- Contribute to system architecture and scalability
REQUIRED SKILLS
- Strong Python development experience
- Solid understanding of data structures and software design
- Experience with backend systems or data pipelines
- Ability to review and improve code
IDEAL SKILLS
- Experience with Airflow or similar tools
- Knowledge of CI/CD and GitHub
- Cloud experience (AWS or similar)
- Experience with Excel automation (pandas, openpyxl)
- Exposure to financial or risk concepts
SALARY & BENEFITS
- Salary up to 80k + Discretionary bonus
- Strong benefits package including pension and holidays
- Hybrid working (up to 3 days from home)
- Training budget and development support
LOCATION
Hybrid role based in London.
TO APPLY
Please send your CV in strict confidence or apply directly to this job posting.
Backend Engineer - Python in London employer: CV Screen
Contact Detail:
CV Screen Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Backend Engineer - Python in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with Python or in backend development. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects, especially those related to data pipelines or automation. This gives potential employers a sneak peek into your coding style and problem-solving abilities.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of financial datasets and backend systems. Practice explaining complex concepts in simple terms, as this will help you stand out during technical interviews.
✨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. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Backend Engineer - Python in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python development experience and any relevant projects you've worked on. We want to see how your skills align with the backend systems and data pipelines we’re looking to build.
Showcase Your Projects: Include specific examples of your work with financial datasets or automation workflows. If you've used tools like Airflow or have experience with CI/CD, let us know! This will help us see your hands-on experience.
Keep It Clear and Concise: When writing your application, be clear and to the point. We appreciate a well-structured application that makes it easy for us to see your qualifications and enthusiasm 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 don’t miss out on any important updates from us!
How to prepare for a job interview at CV Screen
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with backend services and data pipelines, and prepare to showcase your understanding of data structures and software design.
✨Familiarise Yourself with Financial Concepts
Since the role involves working with financial datasets, it’s a good idea to get comfortable with basic financial concepts. This will help you understand the context of the projects you'll be working on and demonstrate your interest in the field.
✨Prepare for Technical Questions
Expect technical questions related to backend systems, code reviews, and best practices. Practise explaining your thought process when solving coding problems, as this will show your ability to improve code quality and contribute to system architecture.
✨Showcase Your Automation Skills
If you have experience with tools like Airflow or automation libraries such as pandas, make sure to highlight that. Discuss any relevant projects where you've built automation workflows, as this aligns perfectly with the job requirements.