Senior Data Platform Engineer: Petabyte-Scale Systems

Doist

Paris

Sur place

EUR 88 000 - 120 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Equity
Variable pay
Hybrid flexibility
Health insurance
Meal vouchers
Annual offsite
Tech syncs

Résumé du poste

Vibe.co, based in Paris, seeks a senior Data Platform Engineer to own the data backbone—storage, batch compute, and real-time reporting. You will scale petabytes of event data and architect end-to-end pipelines, reporting to the Engineering Manager of Data Platform.

You will collaborate with Product, ML, and Finance, optimize pipelines for cost and latency, and lead on-call reliability. This role is based in Paris with hybrid/work-from-office options and strong equity/compensation perks.

Qualifications

  • 5+ years building and operating production data platforms at real scale.
  • Deep lakehouse experience with storage (Iceberg/Delta/Hudi) and compute (Spark/DuckDB/Trino).
  • Production experience with Dagster, Airflow, or Prefect.
  • Proven pipeline improvement story with measurable speed or cost benefits.
  • On-call and incident response experience with authored alerts/runbooks.
  • Adaptable communication for different audiences.

Responsabilités

  • Own tooling and services enabling data-hungry teams to store and access petabyte-scale event data.
  • Build in-app reporting on OLAP DB (ClickHouse) and orchestrate data workflows.
  • Identify bottlenecks and optimize pipelines for cost and latency.
  • Lead on-call and write runbooks for reliability.
  • Collaborate with Product, ML, and Finance to translate requests into concrete deliverables.
  • Set technical contracts with the Front team for the reporting UI.

Connaissances

Production data platforms
Lakehouse
Orchestrator tooling
Incident response
Communication

Outils

Dagster
Airflow
Prefect
Spark
DuckDB
Trino
Iceberg
Delta Lake
Hudi
ClickHouse
BigQuery

Description du poste

Vibe.co, based in Paris, seeks a senior Data Platform Engineer to own the data backbone—storage, batch compute, and real-time reporting. You will scale petabytes of event data and architect end-to-end pipelines, reporting to the Engineering Manager of Data Platform.

You will collaborate with Product, ML, and Finance, optimize pipelines for cost and latency, and lead on-call reliability. This role is based in Paris with hybrid/work-from-office options and strong equity/compensation perks.

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