We're looking for a Senior Data Engineer to design and build our data pipelines from scratch, handling petabytes of logs, events, and model traces. The ideal candidate will create a clean, reliable environment for production, testing, and research workloads. Key requirements include experience with modern data stacks, strong SQL and Python skills, and the ability to communicate clearly with engineers and researchers.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
TLDR: We’re looking for a Data Engineer who can design and build our data pipelines from scratch – handling petabytes of logs, events, and model traces – and create a clean, reliable environment for production, testing, and research workloads.
About Us
White Circle is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale.
- We’ve raised $11M from top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others
- We process over one hundred million API calls every month
- We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model
What you'll do
- 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.
- 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.
- Salary of $80,000 to $150,000 + equity
- 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
- Intro call with one of our colleagues
- Complete the take-home exercise
- Show your best during the technical interview
- Final call with our CEO and CTO
Compensation Range: $80K - $150K
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