Data Engineer

Inetum is a global leader in IT services, dedicated to delivering innovative solutions to our clients. We are committed to fostering a dynamic, inclusive, and diverse work environment where creativity and collaboration thrive. We are present in 19 countries and have more than 28,000 employees worldwide. If you are looking for a dynamic, innovative, and technology-driven company, Inetum is the right place for you! A global team responsible for delivering advanced reporting, analytics, modelling and simulation solutions, enabling data-driven decision-making, risk management and large-scale business transformation within a complex international environment. - Design high-performance data pipelines (ETL) using state of the art data engineering techniques according to business specifications; - Implement flow automation through CI / CD pipelines and end-to-end release of artifacts across environments; - Design data models and schemas as well as providing architectural guidance; - Transform and/or translate code; - Support MS4U teams on coding phase; - Optimize code developed by MS4U teams; - Insure RUN code phase; - Provide end-users with support on the handling of Dataiku, with support on the implementation of best practices; - Coach and guidance towards junior team members, as well as stakeholders.                                          - Relevant professional experience as a data engineer is mandatory; - Knowledge of ETL and / or ELT data integration processes is mandatory; - Proficiency in SQL is mandatory; - Proficiency in Python and / or PySpark is mandatory; - Proficiency in CDP or HDP architecture is mandatory; - Knowledge of Dataiku, SAS, Apache NiFi is a plus; - Knowledge of Agile methodology and JIRA is a plus; - Previous banking experience is a plus; - Knowledge of credit risk is a plus; - Proficiency in Microsoft Office Suite (Outlook, Excel, PowerPoint, Word). - Bachelor’s degree in Information Technology, Computer Science, Business Intelligence or other relevant area - English B2+