Big Data Engineer

Odaseva; Paris; Hybride; EUR 90 000 - 130 000; Plein temps

Résumé du poste

Odaseva, based in Paris, is a SaaS company delivering secure data management for Salesforce environments. Join our R&D team to help shape the future of our data platform and work in a hybrid Paris-based role.

You will design, build, and optimize scalable Spark-based data pipelines for large-scale data lake ingestion using Databricks, Snowflake, and cloud services, with emphasis on governance, security, and performance.

Qualifications

• 7+ years of experience in data engineering or backend data platforms.
• Hands-on experience building and operating big data pipelines.
• Deep knowledge of at least one data lake platform.
• Strong Spark, Delta Lake or Iceberg expertise.
• Strong Python/Java and SQL, cloud infra and IaC/observability.
• Understanding of cost management, data security, governance and modeling.
• Equivalent engineering degree or Master’s in CS/DS/Applied Math.
• Fluent in English and French.

Responsabilités

• Data Pipeline Development & Operations: design, build, monitor Spark pipelines for large-volume ingestion.
• Platform & Cost Optimization: improve performance, reliability, and costs of pipelines.
• Databricks, Snowflake & Cloud Engineering: leverage Databricks, Snowflake, AWS components.
• Lakehouse Architecture: manage Delta Lake or Iceberg tables.
• Secure Data Management: apply governance and security across storage and compute.

Connaissances

Data engineering

Big data pipelines

Python

Java

SQL

Cloud

IaC/Observability

English & French comms

Formation

Master’s degree in Computer Science, Data Science, or Applied Mathematics

Outils

Databricks

Snowflake

AWS Redshift

Delta Lake

Apache Iceberg

Spark

AWS S3

Athena

Glue

Description du poste

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.

Join Odaseva’s R&D team and help shape the future of our data platform.

We’re a SaaS company specializing in secure data management around Salesforce environments.

You’ll design, build, and optimize scalable data pipelines for large-scale data lake ingestion.

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

Who We Are

At Odaseva, we believe in fostering an inclusive, supportive work environment where talented people can innovate and grow. Our culture is built on being smart, humble, hardworking, and above all collaborative.

Our core values define who we are: Trust, Customer Centricity, Engagement, Excellence, Continuous Innovation, and Teamwork.

Inclusive & Diverse - We champion equality and embrace diversity.

Supportive & Collaborative - A team of smart, kind professionals who uplift each other through teamwork, not competition.

Excellence with a Casual Touch - High professional standards in a relaxed, approachable work culture.

Impact-Driven - A place where you can truly make a difference and advance your career.

Innovators in Data & Cloud - Leading the way in cutting-edge technology and solutions.

Competitive & Rewarding - Offering Industry-leading Compensation And Benefits.

Truly Global - With offices in Paris, San Francisco, Sydney, and London, and a worldwide presence.

Flexible Work Environment - We support a hybrid, flexible office culture.

At Odaseva, we are an Equal Employment Opportunity (EEO) employer. We consider all applicants for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.