Senior Data Platform Engineer — Petabyte-Scale Streaming

Vibe, Inc.

Paris

Hybride

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 in Paris is seeking a senior data platform engineer to own Vibe's data backbone, including storage, batch compute, and real-time reporting.

You will scale petabytes of data, work with Spark, DuckDB, Trino, and ClickHouse, and design end-to-end pipelines while managing on-call reliability.

Join a fast-moving team solving complex ad-tech data challenges and collaborating with Product and ML to drive business outcomes.

Qualifications

  • 5+ years building and operating production data platforms at real scale.
  • Deep lakehouse experience with storage and compute engines.
  • Experience with modern orchestrators (Dagster, Airflow, Prefect).
  • Proven impact: a pipeline or query made faster or cheaper with a measurable story.
  • On-call and incident response experience with actual runbooks.

Responsabilités

  • Own data platform tooling and services for data-hungry teams.
  • Store and access petabyte-scale event data and run scalable compute.
  • Build in-app reporting on an OLAP DB like ClickHouse.
  • Orchestrate batch and real-time data movement across the stack.
  • Collaborate with Product, ML, and Finance to translate requests into deliverables.

Connaissances

Years of experience
Lakehouse
Spark
Dagster
Airflow
Incident response
Communication

Outils

ClickHouse
DuckDB
Trino
Iceberg
Delta

Description du poste

Vibe in Paris is seeking a senior data platform engineer to own Vibe's data backbone, including storage, batch compute, and real-time reporting.

You will scale petabytes of data, work with Spark, DuckDB, Trino, and ClickHouse, and design end-to-end pipelines while managing on-call reliability.

Join a fast-moving team solving complex ad-tech data challenges and collaborating with Product and ML to drive business outcomes.

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