Ingénieur(e) de données
Core
Design, build, and improve a governed data lake platform to unify enterprise data for analytics, AI, reporting, and dashboards.
Role type
Senior Data Engineer (Data Product focus)
Builds
Production data pipelines, data lake models, and semantic layers
Domain
SaaS / Subscription commerce / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Snowflake, dbt, Python, SQL, AWS, Data Governance, AI-assisted development, Specification-driven development
Preferred skills
Databricks, Fivetran, Cube.dev, Real-time data streaming (Apache Kafka)
Technologies
Snowflake, dbt, AWS, Databricks, Unity Catalog, Cube.dev, Apache Kafka, Fivetran, Cursor, Claude, GitHub Copilot
Responsibilities
Design and optimize Snowflake data warehouse for reliability and cost efficiency; Migrate legacy ETL to modern incremental/streaming pipelines; Collaborate with product teams to translate requirements into reusable data models; Implement automated data testing, validation, and governance; Maintain rich metadata in Unity Catalog and Snowflake; Leverage AI tools and specification-driven workflows to automate pipeline development.
Seniority
Senior, hands-on IC
