Big Data Engineer

Ultimate VC List; Paris; Hybrid; EUR 100,000 - 150,000; Full time

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Spark pipelines

Databricks

Snowflake

Redshift

Python

SQL

Cloud infra

Observability

Data governance

Security-by-design

Education

Master’s degree in CS/DS/Applied Math

Engineering degree

Tools

Databricks

Snowflake

AWS Redshift

AWS S3

Glue

Athena

Lambda

Delta Lake

Apache Iceberg

Job description

Odaseva provides enterprise data management and security solutions that help organizations exercise sovereignty over their critical data.

Companies representing 10% of global market capitalization trust Odaseva, including Schneider Electric, Volkswagen and Robert Half.

Its Excalibur Data Platform enables customers to protect, secure, move, and use data and code independently of application vendors.

The platform supports complex and high-volume use cases, including backup, archiving, zero-copy, BCDR & High Availability, data federation, and semantic AI orchestration.

Customer-controlled end-to-end encryption raises the bar for enterprise security.

With 11 patents, Odaseva manages 50 trillion records and supports 100 million users.

Key Responsibilities

• Data Pipeline Development & Operations: Design, build, handle, and monitor Spark data pipelines for large-volume data lake ingestion (handling hundreds of TBs).

• Platform & Cost Optimization: Continuously optimize the performance, reliability, and costs of big data pipelines and infrastructure.

• Databricks, Snowflake & Cloud Engineering: Deeply leverage Databricks, Snowflake, or AWS Redshift, alongside cloud provider solutions (AWS S3, Glue/Athena, Lambda) for scalable data engineering.

• Lakehouse Architecture: Demonstrate strong expertise in managing, creating, and optimizing Delta Lake or Apache Iceberg tables.

• Secure Data Management: Apply security-by-design, data governance, and compliance best practices across storage, compute, and sharing layers.

Required Qualifications

• 7+ years of experience in data engineering or backend data platforms, with at least 3 years of hands-on experience building and operating big data pipelines.

• Hands-on engineer background with proven track record handling large volumes of data (at least hundreds of TB).

• 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.

• Fluent in English and French, with clear communication, ownership mindset, and strong collaborative skills.

Where you'll be

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