? Medior Python Engineer – Finance & Trading ?

Náplň práce

Our global client is looking for a Medior Python Engineer to strengthen their innovative engineering team in Prague.

You’ll be joining a large international tech community, working on the backend of trading, FX, and investment applications. This is a hands-on coding role, focused on building and maintaining robust backend services that power business-critical systems.

? This role is ideal if you want to deepen your backend engineering skills, work on complex applications, and grow alongside senior engineers in a global financial tech environment.

? What You’ll Do
- Develop and maintain backend systems for pricing, product modelling, document generation, and web applications
- Write clean, efficient, and scalable Python code with a focus on FastAPI (Flask/Django experience is also relevant)
- Work with relational databases (Oracle or similar) for data parsing, modelling, and optimisation
- Collaborate closely with senior engineers and architects to implement solutions within agile squads
- Contribute to code reviews, testing, and continuous improvement of existing services

?Who We’re Looking For
- Medior-level Python developers with proven backend development experience (2–4+ years)
- Strong grasp of OOP principles and ability to work with multithreading/concurrency
- Solid database knowledge (preferably Oracle or other relational systems)
- Engineers who enjoy solving complex backend problems and working in collaborative teams

Požadavky

✅ What You Already Have
- Python as your main programming language and experience with FastAPI / Flask / Django
- Good understanding of relational databases (schema design, queries, optimisation)
- Knowledge of version control (Git) and awareness of CI/CD practices
- Curiosity for financial/trading systems and willingness to learn from senior colleagues

? Nice to Have
- Experience with Pydantic or similar data validation libraries
- Familiarity with CI/CD tools (TeamCity, GitLab, Jenkins, etc.)
- Exposure to global teams and distributed systems

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