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Data Engineer

Odaseva Paris, Frankreich
Arbeitsvertrag Vollzeit Hybride Arbeit

Veröffentlichungsdatum: 30.08.2026

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 and help kick-start our first AI use cases.

Responsibilities

Design, build, and maintain ingestion/processing pipelines at scale using Python/SQL and Spark, operate within a lakehouse stack (Apache Iceberg or Delta Lake); Implement and optimize workflows on Databricks (Jobs, Workflows, Delta) and/or Snowflake (Warehouses, Tasks, Streams) and/or native cloud provider solutions (AWS / AZURE); Improve performance, reliability, and cost on AWS (S3, Redshift, Athena/Glue, Lambda), with strong observability and IaC practices; Apply security-by-design, data governance, and compliance best practices across storage, compute, and sharing layers; Partner with Product team and R&D team to prepare data for initial AI/ML use cases (feature pipelines, data quality, lineage); Enable secure, efficient data access for customers via connectors, APIs, and lakehouse sharing patterns (e.g., Delta Sharing, Snowflake data sharing)

Requirements

Equivalent engineering school degree, or a Master's degree in Computer Science, Data Science, or Applied Mathematics; 7–12 years in data engineering or backend data platforms; Strong Python and SQL; experience with Spark and modern ELT/Orchestration (e.g., dbt, Airflow); Hands-on with Databricks and/or Snowflake in production; Experience on AWS (S3, Glue/Athena, Redshift, Lambda) and lakehouse formats (Iceberg or Delta Lake); Familiarity with data security, governance, and compliance; Proven experience with data modeling; Knowledge of cost management principles; Foundational AI/ML understanding and motivation to contribute to early use cases; Fluent in English and French, clear communication, ownership mindset, and collaborative approach; Excellent interpersonal skills and ability to interact with diverse business stakeholders

Nice to have

Salesforce data knowledge

Benefits

Industry-leading compensation and benefits; Flexible work environment; Hybrid office culture
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