Data Engineer
Jobtailor · Paris, France ·
- Employment
- Contract
- Category
- Data engineering
- Experience
- 5+ years
Build and maintain petabyte-scale data pipelines using Iceberg, Spark, DuckDB, and Trino, and own the reporting stack behind the Clear UI.
Responsibilities
- Ship and operate production pipelines across batch, streaming, and reporting stacks, from requirements to monitoring
- Design storage and compute for petabyte-scale datasets using Iceberg, Spark, DuckDB, and Trino
- Cut cost and latency on specific pipelines and queries, with quantified, instrumented impact
- Own the data contract for the ClickHouse and Cube reporting stack behind the Clear UI
- Build alerts, SLOs, and runbooks so fewer incidents reach users
- Lead incident response and carry on-call across production systems
- Influence upstream producers on schemas, semantics, and SLAs for bid, win, and impression events
- Build tooling, conventions, and data contracts that make the whole team faster
Requirements
- 5+ years building and operating production data platforms at real volume, not analytics or BI‑adjacent work.
- Deep lakehouse experience across storage (Iceberg, Delta, or Hudi) and compute (Spark, DuckDB, or Trino)
- Production experience with a modern orchestrator (Dagster, Airflow, or Prefect) plus dbt or an equivalent transformation framework
- A proven track record of handling large volumes of data under time and cost constraints.
- Operational ownership: on-call, incident response, alerts and runbooks you actually wrote
- Cross‑functional communication: you adapt detail to the audience and push back on stakeholders constructively