Data Engineer

About the role

SFEIR is looking for an experienced Data Engineer to join their Lille team to build robust data pipelines and scalable cloud-native architectures. The role involves transforming raw data into business insights, implementing MLOps platforms, and integrating generative AI into data workflows. You will work on impactful projects for major clients while contributing to a highly technical and collaborative community.

Responsibilities

• Architect robust data pipelines using Python, SQL, dbt, and Airflow
• Manage data across BigQuery, Snowflake, Databricks, and MLOps tools
• Focus on data quality, governance, orchestration, and cost optimization
• Transform raw data into actionable business insights
• Experiment with generative AI to improve data workflows
• Build complete MLOps platforms on Google Cloud or Azure

Required skills

• Python
• SQL
• dbt
• Airflow
• BigQuery
• Snowflake
• Databricks
• MLOps
• Google Cloud
• Azure

Nice to have

• Generative AI

Benefits

• Annual salary review
• Training via SFEIR Institute
• Premium hardware (MacBook Pro or Dell)
• Technical community events
• Professional development paths

About the Company

SFEIR is a technology innovation catalyst focused on the AI revolution. They specialize in industrializing AI through their Context Engineering approach and maintain long-standing partnerships with major cloud and data providers.