Data Engineer

Paris, France

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.

What you’ll do

• 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.

What we’re looking for

• 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.

Nice to have / Big plus

• 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.