Senior Big Data Engineer — Hybrid Paris (Spark, Lakehouse)

Ultimate VC List; Paris; Híbrido; EUR 100.000 - 150.000; Jornada completa

Descripción de la vacante

Odaseva is seeking a senior data engineer to design, build, and optimize large-scale data pipelines and lakehouse architectures. You will work with Spark, Databricks, Snowflake, and cloud services to ensure secure, cost-efficient data processing.

The role requires strong Python/Java and SQL skills, plus expertise in data governance and security-by-design principles. Based in Paris, this hybrid role offers a full-time permanent contract and collaboration across global teams.

Formación

• 7+ years in data engineering with at least 3 years building big data pipelines.
• Experience handling hundreds of TB of data.
• Expertise in at least one data lake platform (Databricks, Snowflake, or AWS Redshift).
• Strong Spark knowledge and lakehouse formats (Delta Lake or Iceberg).
• Strong Python/Java and SQL, plus AWS S3, Athena, Glue, and IaC/observability.
• Solid cost management, data security, governance, and data modeling understanding.
• Fluent in English and French with clear communication and collaboration.

Responsabilidades

• Data Pipeline Development & Operations: Design, build, handle, and monitor Spark data pipelines for large-volume data lake ingestion (hundreds of TB).
• Platform & Cost Optimization: Continuously optimize performance, reliability, and costs of pipelines and infrastructure.
• Databricks, Snowflake & Cloud Engineering: Leverage Databricks, Snowflake, or AWS Redshift with AWS solutions for scalable data engineering.
• Lakehouse Architecture: Manage and optimize Delta Lake or Apache Iceberg tables.
• Secure Data Management: Apply security-by-design, governance, and compliance across storage, compute, sharing layers.

Conocimientos

Spark pipelines

Databricks

Snowflake

Redshift

Python

SQL

Cloud infra

Observability

Data governance

Security-by-design

Educación

Master’s degree in CS/DS/Applied Math

Engineering degree

Herramientas

Databricks

Snowflake

AWS Redshift

AWS S3

Glue

Athena

Lambda

Delta Lake

Apache Iceberg

Descripción del empleo

Odaseva is seeking a senior data engineer to design, build, and optimize large-scale data pipelines and lakehouse architectures. You will work with Spark, Databricks, Snowflake, and cloud services to ensure secure, cost-efficient data processing.

The role requires strong Python/Java and SQL skills, plus expertise in data governance and security-by-design principles. Based in Paris, this hybrid role offers a full-time permanent contract and collaboration across global teams.