Data Engineer - AI Safety

European Tech Recruit; Paris; Sur place; EUR 60 000 - 80 000; Plein temps

Résumé du poste

A leading AI safety startup in Paris is seeking a skilled Data Engineer to architect a scalable data environment handling vast amounts of data. The ideal candidate will have substantial experience with modern data stacks like Snowflake and ClickHouse, and expertise in SQL and Python. This full-time role involves optimizing data performance and ensuring data governance and security within an innovative startup atmosphere.

Qualifications

• Strong experience building or scaling a modern data stack in a fast-moving environment.
• High proficiency in SQL and Python, with comfort working on large datasets.
• Clear communication skills and ability to collaborate directly with teams.

Responsabilités

• Architect and maintain a clean, scalable data environment.
• Develop internal data APIs and tooling for teams.
• Own performance optimization across the data stack.
• Ensure data dependability for production workloads.
• Define and enforce data governance and security policies.

Connaissances

SQL

Python

Data Governance

Data APIs

Event Streaming

Outils

Snowflake

ClickHouse

Description du poste

Senior Consultant | Blockchain/Web3, Semiconductor, Software Engineering

We are partnered with a cutting‑edge AI safety startup that is building the foundational reliability and optimization layer for advanced AI systems capable of managing hundreds of millions of API calls monthly and train proprietary LLMs and VLMs that outperform commercial and open‑source models. They are seeking an experienced Data Engineer to architect and build a scalable data environment capable of handling petabytes of logs, events, and model traces.

This is a permanent opportunity based in Paris, France.

Key Responsibilities for this Data Engineer position:

• Architect and maintain a clean, scalable data environment capable of storing and processing petabytes of logs, traces, and model outputs.
• Develop internal data APIs, SDKs, and tooling to allow engineering, product, and research teams to discover, query, and utilize data efficiently.
• Own the performance optimization across the entire data stack, from storage layouts to query execution plans, ensuring fast analytics and research workflows.
• Ensure data dependability for production, testing, and research workloads.
• Own data governance and security, defining and enforcing permissions, access controls, and security policies across the data layer.

Key Requirements:

• Strong experience building or scaling a modern data stack (e.g., Snowflake, ClickHouse, or event streaming systems) in a fast‑moving environment.
• High proficiency in SQL and Python, with comfort working on large, noisy datasets.
• Clear communication skills and the ability to collaborate directly with researchers and engineers.

Keywords: Data Engineer / Data Pipelines / Observability / MLOps / AI Safety / Snowflake / ClickHouse / Event Streaming / Petabyte Scale / SQL / Python / Data Governance / Data APIs / Logs / Traces / Paris / Startup / Analytics / Query Optimization

If you are interested in this Data Engineer position, please send a copy of your CV to [e-mail]

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Seniority level: Mid-Senior level. Employment type: Full‑time. Job function: Engineering and Design. Industries: Software Development and Research Services.