- Solve data-related problems within the team and implement efficient data pipelines
- Automate and industrialise repetitive data integration steps, pre-cleaning data used by data scientists to prepare and apply machine learning models.
- Interact closely with data scientist to design and implement data-driven solutions
-Work closely with the business to understand their problems and operational needs. Gathering, interpreting and prioritising their requirements
- Contribute in company data transformation and technological transformation.
-Work closely with IT to identify, collect, explore and understand the data required to meet business needs.
- Maintain data pipelines, measuring performance and ensuring good data quality in place by implementing adequate monitoring.