Senior Data Infrastructure Engineer - Kafka, ClickHouse, Cloud

Vibe.co

Paris

Hybride

EUR 110 000 - 150 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Variable pay
Hybrid work Paris
Health insurance
Meal vouchers
Annual offsite
Tech syncs

Résumé du poste

Vibe.co in Paris is seeking a senior engineer to design and operate large-scale data processing systems. You will own end-to-end projects across Kafka, Spark, and ClickHouse, building batch pipelines with Dagster and driving architecture decisions.

You will optimize performance and costs, contribute to developer tooling and CI/CD, and collaborate with data, ML, and product teams while maintaining reliability through alerts and incident response.

Qualifications

  • 5+ years of experience in production distributed systems.
  • Strong programming skills in Python and/or Rust.
  • Experience with Kafka, Spark, Iceberg or object storage; ClickHouse or similar analytics databases; AWS; Kubernetes; infrastructure-as-code.

Responsabilités

  • Designing and operating Kafka event processing.
  • Building batch pipelines with Dagster.
  • Managing ClickHouse Cloud ingestion and queries.
  • Driving projects end-to-end.
  • Setting architecture decisions.
  • Building developer tooling and CI/CD.
  • Ensuring reliability and operational excellence with alerts and incident response.
  • Optimizing performance and cost across Kafka, Spark, DuckDB, and ClickHouse.
  • Collaborating cross-functionally with data, ML, and product teams.

Connaissances

Python
Rust

Outils

Kafka
Spark
Iceberg
Object storage
ClickHouse
AWS
Kubernetes
Infrastructure as Code

Description du poste

Vibe.co in Paris is seeking a senior engineer to design and operate large-scale data processing systems. You will own end-to-end projects across Kafka, Spark, and ClickHouse, building batch pipelines with Dagster and driving architecture decisions.

You will optimize performance and costs, contribute to developer tooling and CI/CD, and collaborate with data, ML, and product teams while maintaining reliability through alerts and incident response.

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