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+