Data Engineer building data pipelines for AI Safety company. Handling petabytes of logs and creating a clean, reliable data environment.
Responsibilities
Build and maintain a clean, stable data environment so all team members can access petabytes of traces, logs, and model outputs in the formats they need – without delays or manual extraction.
Develop and run internal data APIs, SDKs, and tools that help engineering, product, and research teams discover, query, and use data without touching infrastructure.
Monitor and improve data performance – from table layouts to query plans – so analytics and research workloads stay smooth as volumes grow.
Manage data access and governance, defining and enforcing permissions, access rules, and security policies.
Requirements
You’ve built or scaled a modern data stack – Snowflake, ClickHouse, event streaming – in a startup or similarly fast environment.
You’re strong in SQL and Python and comfortable working with large, messy datasets.
You communicate clearly and can work directly with engineers and researchers. Fluent English.
A big plus: experience with Metabase, Tableau, or similar tools for internal dashboards.
Benefits
20 days of paid vacation
Work from Paris (hybrid) + relocation package
Best medical insurance in France
All the hardware, tools, and services you need
Covered subscriptions for AI agents and IDEs
Team off-sites twice a year: we’ve recently been to the Alps and to Saint-Tropez
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