Senior Data Engineer — Scalable Pipelines & AI Enablement

Odaseva; Paris; Hybride; EUR 90 000 - 140 000; Plein temps

Avantages offerts par ce poste

Hybrid work

Competitive compensation

Flexible office culture

Résumé du poste

Odaseva is a Paris-based, fast-growing SaaS company delivering data management around Salesforce environments. Join our R&D team to design, build, and optimize scalable data pipelines and kick-start AI use cases within a hybrid Paris office.

We value collaboration, continuous innovation, and excellence. Based in Paris, 75002, this full-time role offers a hybrid work arrangement with three days in the office and two remote days, focusing on secure, scalable data platform development leveraging

Qualifications

• 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.
• Salesforce data knowledge is a plus, not mandatory.
• 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

Responsabilités

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

Connaissances

Python

SQL

Spark

dbt

Airflow

Databricks

Snowflake

AWS

Iceberg / Delta Lake

data modeling

cost management

Salesforce data knowledge

english & french

Formation

Engineering degree or MSc in CS / Data Science / Applied Mathematics

Outils

Databricks

Snowflake

AWS

Iceberg

Delta Lake

Description du poste

Odaseva is a Paris-based, fast-growing SaaS company delivering data management around Salesforce environments. Join our R&D team to design, build, and optimize scalable data pipelines and kick-start AI use cases within a hybrid Paris office.

We value collaboration, continuous innovation, and excellence. Based in Paris, 75002, this full-time role offers a hybrid work arrangement with three days in the office and two remote days, focusing on secure, scalable data platform development leveraging