Big Data Engineer

Responsibilities

• Design, build, handle, and monitor Spark data pipelines for large-volume data lake ingestion (handling hundreds of TBs).
• Deeply leverage Databricks, Snowflake, or AWS Redshift, alongside cloud provider solutions (AWS S3, Glue/Athena, Lambda) for scalable data engineering.
• Demonstrate strong expertise in managing, creating, and optimizing Delta Lake or Apache Iceberg tables.

Requirements

• 7+ years of experience in data engineering or backend data platforms, with

at least 3 years of hands-on experience

• Hands-on engineer background with proven track record handling large volumes of data (at least hundreds of TB).
• Fluent in English and French, with clear communication, ownership mindset, and strong collaborative skills.

Platform & Cost Optimization

Continuously optimize the performance, reliability, and costs of big data pipelines and infrastructure.

Secure Data Management

Apply security-by-design, data governance, and compliance best practices across storage, compute, and sharing layers.

Required Qualifications

building and operating big data pipelines

• Deep knowledge of at least one data lake platform among Databricks, Snowflake, or AWS Redshift.
• Strong expertise in Apache Spark (creation, handling, and monitoring of pipelines) and lakehouse table formats
• (Delta Lake or Apache Iceberg).
• Strong Python or Java and SQL skills, cloud infrastructure (AWS S3, Athena, Glue), and IaC/observability practices.
• Solid understanding of cost management principles, data security, governance, and data modeling.
• Equivalent engineering school degree or Master’s degree in Computer Science, Data Science, or Applied Mathematics.

Where you'll be

• Based in Paris (75002), France.
• Hybrid: 3 days in the office / 2 days remote work.
• Full time permanent contract position.