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Data Engineer

Salary not disclosed4–5 yearsHybrid

  • Engineering
  • France
  • Full time
  • Today
Newly posted

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.