Whitecircle
Data Engineer
8mo ago
60000 –80000 USD / yearEuropeRemotedata pipelinesdata engineering
Design and build data pipelines for AI safety platform handling petabytes of data.
About the company
- 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
- We’re a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built – you’re the one we need.
Nice to have
- Experience with Metabase or similar BI tools.
- Experience versioning datasets and building lightweight data pipelines.
- Experience with dbt for data modeling / analytics engineering.
- Familiarity with ETL tools (Fivetran, Airbyte, dltHub, etc.).
- Experience with AWS (Athena, Glue, S3, etc.).
- Experience with AI-assisted or agentic coding.
Other
- 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.
- Own and evolve our internal data tooling.
- Scrape external sources, turn raw chaos into structured datasets, and keep them fresh and reliable.
- Build and maintain pipelines to transform and version data, ensuring quality through testing and monitoring.
- Create new data products that directly address business needs.
- Diagnose and fix pipeline issues before they become someone else’s problem.
- Ship analytics and dashboards that people actually use.
- Jump into data and infra tasks where needed and make things more robust.
- You’re strong in Python and SQL and comfortable working with messy, real-world data.
- You have solid experience with web scraping and know how to make pipelines reliable, monitored, and resilient.
- You’ve worked with PostgreSQL (or similar) and understand how to structure and query data efficiently.
- You’ve worked with a cloud data warehouse (ClickHouse, BigQuery, Redshift, Snowflake, etc.).
- You’re a builder: you fix things, improve systems, and don’t wait for perfect specs.
- You communicate clearly and can work in English.
- Paid time off in line with your local regulations, no matter where you work from
- 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
- Please submit your application in English - it’s our company language so you’ll be speaking lots of it if you join