Your tasks - Participate in data science projects led by scientific staff, and assume responsibility for software engineering tasks, including among others, requirement analysis, software development testing and documentation; - Debugging complex software in python, and troubleshooting aspects related to the deployment of software; - design and implement robust data pipelines for the ingestion cleaning, transformation and storage of diverse data sources; - Participation in project update and review meetings and other meetings with project stakeholders. Requirements: - University degree in IT or relevant discipline, combined with minimum 17 years of relevant working experience in IT; - Ability to design and implement robust data pipelines for the ingestion, cleaning, transformation and storage of diverse data sources; - Strong experience in testing software, including frameworks for defining and automating software tests, including regression testing and negative testing; - Excellent software development skills, in particular, experience implementing python libraries, software and services; - Demonstrated experience in implementing best practices for software testing, from unit and component testing to user acceptance, including negative testing and stress tests, to ensure software quality and reliability; - Experience deploying software tools and services, including definition of APIs, using DevOps tools and practices, CI/CD practices, e.g. in Gitlab or similar environments; - Experience in debugging complex software in python, and troubleshooting aspects related to the deployment of software and using GPU hardware; - Any training or certification related to data science and machine learning will be considered as an asset; - Excellent command of the English language. Benefits If you are seeking a career in an exciting and dynamic company, where you will offer your services as part of a team of a major European Institution, operating in an international, multilingual and multicultural environment where you can expect real chances to make a difference, please send us your detailed CV in English, quoting reference (18695/05/2025). As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion.