Job Description

Software Engineering Skills


You have a degree in computer science or a related field (bachelor's/master's). You value high-quality code and want to improve and share your knowledge of the latest technologies every day. You have at least 5 years of professional experience in the Python stack and a second stack in either Java or .NET. You have multiple years of experience with state-of-the-art architectures and enjoy developing modern cloud native applications. You have worked in web front-end development with frameworks like ReactJS or Angular, applying in-depth knowledge of JavaScript and/or TypeScript. You have managed the lifecycle of full-stack applications, including CI/CD, automated testing frameworks, and vulnerability scanning tools. Hands-on experience with infrastructure and platform is a plus. You have strong communication skills and like making decisions. You have experience effectively communicating with stakeholders outside of your team in agile environments. Experience as team lead or Scrum Master is a plus.
Data & Analytics Engineering Skills


You have hands-on experience with Python libraries for large-scale data analytics, such as pandas, polars, duckdb, or PySpark. You are comfortable conducting quantitative research and statistical analysis, applying computational methods to extract insights from complex data. You have practical knowledge of ML and data science packages (e.g.,scikit-learn, SciPy, NumPy, TensorFlow, PyTorch) and know how to integrate them into production-ready systems. You bring strong foundations in quantitative computing concepts (optimization, probability, numerical methods, statistical inference). * You can bridge software engineering and data engineering, enabling end-to-end solutions that power both applications and advanced data insights.