SFEIR
Visit websiteData Engineer
Salary not disclosed4–5 yearsHybrid
- Engineering
- France
- Full time
- Today
About the role
SFEIR is seeking a Data Engineer to join their Bordeaux team to design and implement high-performance, AI-ready data architectures. You will work on complex client projects, focusing on building robust data pipelines and industrializing data usage. The role involves collaborating with a team of experts to deliver scalable data platforms while leveraging modern engineering practices.
Responsibilities
- Architect robust data pipelines using Python, SQL, dbt, and Airflow
- Work with BigQuery, Snowflake, Databricks, Kafka, and MLOps tools
- Implement data quality, governance, observability, and cost optimization strategies
- 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 the data field
Required skills
- Python
- SQL
- dbt
- Airflow
- BigQuery
- Snowflake
- Databricks
- Kafka
- MLOps
- CI/CD
- Data architecture
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 expertise firm specializing in the design, architecture, and industrialization of custom digital solutions. With 950 consultants across 8 agencies, they focus on software craftsmanship, AI, and secure, independent architectures through partnerships with major cloud providers.