Data Engineer

About the role

SFEIR is seeking a Data Engineer to join their Toulouse team to design and build AI-ready data architectures. The role involves creating robust data pipelines, ensuring data quality and governance, and industrializing AI use cases for clients. You will work within a collaborative environment that emphasizes technical expertise and software craftsmanship.

Responsibilities

• Architect robust data pipelines using Python, SQL, dbt, and Airflow
• Work with BigQuery, Snowflake, Databricks, Kafka, and MLOps tools
• Focus on data quality, governance, observability, and cost optimization
• Build reliable and scalable data platforms
• Participate in the industrialization of AI use cases
• Transform complex datasets into actionable data products
• Experiment with new AI applications in data engineering

Required skills

• Python
• SQL
• dbt
• Airflow
• BigQuery
• Snowflake
• Databricks
• Kafka
• MLOps
• Cloud
• Big Data
• CI/CD

Qualifications

• Master's degree in Computer Science or engineering school
• Equivalent practical experience

Benefits

• Vacation bonus
• Profit-sharing agreement
• Sustainable mobility package
• Health insurance
• Meal vouchers

About the Company

SFEIR is a technology consultancy specializing in custom digital solutions, architecture, and industrialization. With 950 consultants across 8 agencies, they focus on AI, software craftsmanship, and secure, high-performance architectures through partnerships with major cloud providers.