Data Engineer
Core
Build and optimize data pipelines and infrastructure to support data science and machine learning projects, ensuring robust model deployment.
Role type
Python-focused Data Engineer
Builds
Data pipelines, automated ingestion/preprocessing systems, and MLOps workflows
Domain
Data Engineering / Machine Learning Operations
Deliverable
production ML models
Required skills
Python development, advanced SQL, data-handling libraries (Pandas/Polars, NumPy), cloud platforms (AWS/Azure/GCP), MLOps workflows, Git version control
Preferred skills
French language proficiency
Technologies
Python, Pandas, Polars, NumPy, SQL, AWS, Azure, Google Cloud, Git, Jira, Confluence
Responsibilities
Standardize and optimize data pipelines for data science and ML; build clean Python abstractions for data ingestion and preprocessing; enforce data quality initiatives and validations; collaborate with data scientists to architect and deploy ML models using MLOps frameworks; evaluate and integrate new technologies to scale the data engineering stack
Seniority
Mid-to-Senior, hands-on IC
