Data Engineer

About the role

SFEIR is seeking a Data Engineer to join their Strasbourg team to help clients industrialize AI and data solutions. You will be responsible for designing and maintaining scalable data pipelines and building architectures that enable AI and GenAI valorization. The role involves working on ingestion, real-time processing, modeling, and data governance within a tech-focused environment.

Responsibilities

• Design and maintain modern, scalable data pipelines using tools like Spark and Kafka.
• Build architectures that enable data valorization for AI and GenAI applications.
• Manage data ingestion, real-time processing, modeling, and governance.
• Use Python or Scala to manipulate and enrich datasets on build projects.
• Work across cloud platforms including AWS, Azure, and GCP.

Required skills

• Data Engineering
• Spark
• Kafka
• Python
• Scala
• AWS
• Azure
• GCP
• French
• English

Benefits

• Restaurant card
• Premium hardware
• Zenride
• Vacation bonus

About the Company

SFEIR is a technological innovation catalyst specializing in AI industrialization. With 950 consultants across 8 agencies, they focus on technological excellence and have long-standing partnerships with major cloud providers like Google Cloud, AWS, and Microsoft.