Python Developer

Company Description Inetum is a global leader in IT services, dedicated to providing innovative solutions to our clients. We are committed to fostering a dynamic, inclusive workplace that values diversity, where creativity and collaboration thrive. We operate in 19 countries with more than 28,000 employees worldwide. If you are looking for a dynamic, innovative, and technology-driven company, Inetum is the place for you! Come be Inetum! Job Description Technical Responsibilities Contribute to solution design aligned with standards Support technical design based on platform requirements Collaborate on software architecture decisions with the architecture team Create and maintain technical documentation Apply Python expertise for troubleshooting, optimization, and performance Align with IT teams on technical requirements Mentor developers and promote best practices Agile / Team Responsibilities Facilitate Scrum ceremonies within the team Plan, manage, and track sprint delivery Contribute to tribe-level ceremonies (e.g., Scrum of Scrums) Support the Product Owner and Core Team on delivery topics Ensure clear communication with stakeholders Support onboarding of new team members Foster a collaborative and positive team environment Drive continuous improvement and challenge constructively Adapt to evolving technical and functional needs Qualifications Strong experience in enterprise software development / software engineering (Git, GitLab, unit tests, etc.). Expert-level Python (3.9+) and its ecosystem: Anaconda, Jupyter, VS Code, etc. Proficiency in computational and data libraries: NumPy, Pandas, etc. Expertise in performance optimization and parallelization: Dask, Spark, GPU optimization, CUDA, CuPy, etc. Experience industrializing Python developments (standards, design patterns, TDD, clean code). Experience creating and maintaining Python packages. DevOps tools: Jira, CI/CD, GitLab CI, Jenkins, Artifactory, Shell scripting, Docker, Hashicorp Vault, JFrog. Code quality tools: Fortify, Nexus IQ, SonarQube. Databases: Oracle, PostgreSQL, Netezza. File & object storage: S3, Boto3, IBM COS, MinIO. Data Engineering skills: data manipulation, exploration, pipelines, and data quality. Ability to challenge functional and technical stakeholders (Business, MOA, MOE). Fluent English (mandatory).