Senior experience in building, and testing applications in a professional environment in Python: strong knowledge of object-oriented programming principles and test-driven development. strong knowledge of testing principles and best practices, familiarity with pytest., Knowledge of coding best practices., Experience with writing pythonic code, good eye for code smells., Experience in code review best practices., Practical knowledge of SOLID principles and some design patterns., Good familiarity with git version control., Some experience developing in an Agile environment with preferably continuous integration practices, MSc or PhD in a technical field such as Computer Science, Mathematics, Physics, Operational Research and/or Information Systems (Informatics)., Good knowledge of Python stack for scientific computing: NumPy, SciPy, pandas, polars, Matplotlib, Experience working with Docker, Kubernetes and Jenkins., Experience with PySpark or other tools for handling Big Data., Experience in developing open source or libraries in Python., Any familiarity with business we’re collaborating with (traded or credit risk) will be an advantage, although is not required.

In-office gym, sharing the costs of sports activities, private medical care, sharing the costs of professional training & courses, life insurance, remote work opportunities, flexible working time, integration events, corporate sports team, retirement pension plan, corporate library, no dress code, coffee / tea, parking space for employees, leisure zone, extra social benefits, employee referral program, opportunity to obtain permits and licenses, charity initiatives, family picnics, extra leave