Data Engineer

About the role

SFEIR is looking for a Data Engineer to join their Lille team to build robust data pipelines and migrate legacy stacks to the cloud. The role involves working on high-impact business applications, real-time machine learning algorithms, and complex workflow orchestration using modern cloud technologies. You will collaborate with clients to industrialize AI solutions and drive tangible business outcomes.

Responsibilities

• Build robust data pipelines using Python, SQL, FastAPI, and Apache Spark
• Manage BigQuery, Dataflow, Composer, and the Google Cloud ecosystem
• Design data architecture with a focus on monitoring, optimization, and scalability
• Migrate legacy stacks to the cloud while maintaining production stability
• Experiment with generative AI to enhance data workflows

Required skills

• Python
• SQL
• FastAPI
• Apache Spark
• Google Cloud
• BigQuery
• Dataflow
• Composer

Nice to have

• Airflow
• Terraform
• Looker Studio
• Machine Learning
• Hadoop

Benefits

• Annual salary review
• SFEIR Institute training
• MacBook Pro or Dell laptop

About the Company

SFEIR is a technology innovation catalyst focused on the AI revolution. They specialize in industrializing AI and context engineering to help organizations achieve tangible and sustainable impact.