V

Vibe

Cost-per-view digital advertising for streaming TV

Data Platform Engineer - Data Infrastructure

Data EngineeringConfirmed live in the last 24 hours
Full-timeÎle-de-France, France€99k - €171k /yr

About the Job

Requirements

  • At least five years of experience building and operating distributed, data-intensive systems in production.
  • Strong programming skills in Python and/or Rust, with disciplined testing and code review practices.
  • Production experience with several of Kafka, Spark, Iceberg or object storage, and ClickHouse or similar column-store analytics.
  • Experience owning services from code through production, including AWS, Kubernetes, and infrastructure-as-code.
  • A track record of measurably improving performance or cost on specific systems, and the ability to explain why.
  • Cross-functional communication skills, including the judgment to push back on stakeholders with conflicting priorities.

Responsibilities

  • 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.
  • 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.
  • Profile and optimize services across Kafka, Spark, DuckDB, and ClickHouse.
  • Treat compute and storage spend as a first-class engineering metric.
  • Lead cost reviews on the platform's most expensive systems.
  • Instrument the platform to catch cost regressions early.
  • Translate ambiguous requests from data, ML, and product engineers into concrete deliverables.
  • Push back on requests that are not ready or are not the right approach.
  • Influence upstream teams on schema, semantics, and SLAs.
  • Brief senior stakeholders on tradeoffs and decisions, not implementation detail.

Desired Qualifications

  • Experience in programmatic or streaming TV advertising.

About the Company

Vibe

Cost-per-view digital advertising for streaming TV

Vibe.co helps small and medium-sized businesses advertise on streaming apps and TV channels. Advertisers run campaigns across 500+ apps and channels, reaching up to 120 million households, with targeting by socio-demographics, interests, and purchase intent. Ads are billed on a cost-per-view basis, so you pay only when viewers watch. The platform emphasizes SMB-friendly campaigns and broad inventory to connect the right audiences locally or nationwide through streaming media.

Company size
201-500
Company stage
Acquired
Total funding
$78.9M
Headquarters
Chicago, IL
Founded
2021

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