Senior Data Infrastructure Engineer - Real-Time Platforms

Vibe; Paris; Hybride; EUR 90 000 - 120 000; Plein temps

Avantages offerts par ce poste

Variable pay

Hybrid flexibility — Paris area

Health insurance — Alan

Meal vouchers — Swile

Annual offsite

Tech Syncs

Résumé du poste

Vibe is a Paris-based data platform team powering the company’s streaming advertising suite. You’ll own end-to-end data systems—from ingestion to analytics—driving real-time event processing, batch orchestration, and scalable serving paths into ClickHouse Cloud.

You’ll work with Python and/or Rust on Kafka, Spark, and ClickHouse, while optimizing performance and cost and collaborating with cross-functional teams.

Qualifications

• 5+ years building and operating distributed, data-intensive systems in production.
• Strong programming skills in Python and/or Rust with testing and code review discipline.
• Experience with Kafka, Spark, and ClickHouse in production environments.

Responsabilités

• Design and operate real-time event processing on Kafka at production scale.
• Build and run batch orchestration pipelines on Dagster.
• Own the serving path into ClickHouse Cloud from ingestion through query.
• Drive projects end-to-end from stakeholder requirements through post-launch iteration.
• Set architecture decisions on partitioning, materialization, retention, and compute sizing.
• Build orchestration patterns and testing frameworks the whole team relies on.
• Establish CI/CD and data contracts that reduce manual review overhead.
• Turn recurring one-off fixes into reusable, documented building blocks.
• Design self-serve infrastructure that teams adopt without being told to.
• Build alerting and dashboards that catch issues before users feel them.
• Set SLOs that reflect real business risk, not vanity metrics.
• Lead incident response during on-call rotations.
• Write runbooks and automation that shorten and reduce pages.
• Anticipate scaling limits before bid/win log growth turns them into incidents.
• Translate ambiguous requests from data, ML, and product engineers into concrete deliverables.
• Push back on requests that aren't ready or aren't the right approach.
• Influence upstream teams on schema, semantics, and SLAs.
• Brief senior stakeholders on tradeoffs and decisions, not implementation detail.

Connaissances

Python

Rust

Kafka

Spark

Dagster

ClickHouse

AWS

Kubernetes

IaC

Outils

Dagster

ClickHouse Cloud

Terraform

Description du poste

Vibe is a Paris-based data platform team powering the company’s streaming advertising suite. You’ll own end-to-end data systems—from ingestion to analytics—driving real-time event processing, batch orchestration, and scalable serving paths into ClickHouse Cloud.

You’ll work with Python and/or Rust on Kafka, Spark, and ClickHouse, while optimizing performance and cost and collaborating with cross-functional teams.