About the job
Join the Data Platform Tribe as a Senior Data Engineer within our international team based in Paris and New York.
The Data Platform utilizes an AWS and Snowflake stack with a strong emphasis on scalability, performance, security, and cost management, handling billions of events and data points daily from major platforms like TikTok, YouTube, and Spotify.
Your Mission
As part of a Scrum-organized squad responsible for the Build & Run of your domain, you will be involved end-to-end in:
- Ingesting and orchestrating new data sources until their exposure.
- Implementing and industrializing the Bronze, Silver, and Gold layers.
- Designing analytics-ready models for Finance, Marketing, Insights, and Product use cases.
- Building and enhancing a data quality control system (testing, rules, monitoring, alerting, observability).
- Actively contributing to architecture, standards, best practices, and the platform roadmap.
Your Key Responsibilities
- Design, develop, and maintain ingestion pipelines on AWS.
- Transform and optimize data using SQL, Python, Snowpark, and potentially Spark/Scala.
- Model data (star schema / snowflake schema) in partnership with the data management team, ensuring documentation governance and lineage.
- Ensure operational reliability: supervision, monitoring, incident management, corrective actions, and continuous improvement.
- Collaborate closely with diverse stakeholders: architects, data scientists, data analysts, software engineers, tech leaders, and business teams.
- Exhibit a senior-level approach: communication, brainstorming, recommendations, operational efficiency, vigilance, and capability to elevate the team’s expertise (junior to intermediate).
Current Stack & Tools
- Cloud / Data: AWS, Snowflake, Snowpipe, Snowpark, Databricks
- Dev / DataOps: Python, SQL, GitLab, Sqitch
- Governance: DataGalaxy

