The role involves participating in data science missions for clients to address technical challenges related to data storage, flow, and processing. The professional will collaborate with data scientists, software engineers, and DevOps engineers on projects with a significant data component. Responsibilities include developing ETL pipelines within big data ecosystems and establishing infrastructure and services to support machine learning model training and deployment. The position requires contributing to technological, architectural, and governance decisions to facilitate the scaling of data projects. Additionally, the role involves developing server-side tools for mass data processing and API exposure, as well as selecting cloud-based storage and computing architectures.

Candidates must hold a degree from an engineering school or a high-level qualification in information technology. A minimum of two years of professional experience in data, DevOps, cloud, or software engineering is required. Proficiency in Python and relational databases is essential for the role. Furthermore, candidates must be fluent in both French and English for professional purposes.