Data Engineer

About the Role

Data isn't a support function at Vibe. It's the machinery. Every decision (which ad, which household, which moment) runs on it. You'll join the Data Platform team, which owns the company's entire data backbone: the storage layer holding several petabytes, the batch systems that feed Product, Sales, Finance, and ML, the real-time streams behind spend tracking and retargeting, and the ClickHouse and Cube reporting stack that serves sub-second analytics to advertisers inside the Clear platform. This role exists because we have real scaling problems (500k+ messages per second, petabytes stored, both growing) and we need engineers who can build the infrastructure to stay ahead of them. Three reasons to want this: you'll own projects end-to-end, from stakeholder requirements through schema, build, monitoring, and iteration; you'll work on genuine big-data scaling problems, not maintenance; and you'll have direct, measurable impact on the business, because here data is a first-class citizen.

What You'll Do

• Ship and operate production pipelines across batch, streaming, and reporting stacks, from requirements to monitoring
• Design storage and compute for petabyte-scale datasets using Iceberg, Spark, DuckDB, and Trino
• Cut cost and latency on specific pipelines and queries, with quantified, instrumented impact
• Own the data contract for the ClickHouse and Cube reporting stack behind the Clear UI
• Build alerts, SLOs, and runbooks so fewer incidents reach users
• Lead incident response and carry on‑call across production systems
• Influence upstream producers on schemas, semantics, and SLAs for bid, win, and impression events
• Build tooling, conventions, and data contracts that make the whole team faster

What You Need

• 5+ years building and operating production data platforms at real volume, not analytics or BI‑adjacent work.
• Deep lakehouse experience across storage (Iceberg, Delta, or Hudi) and compute (Spark, DuckDB, or Trino)
• Production experience with a modern orchestrator (Dagster, Airflow, or Prefect) plus dbt or an equivalent transformation framework
• A proven track record of handling large volumes of data under time and cost constraints.
• Operational ownership: on‑call, incident response, alerts and runbooks you actually wrote
• Cross‑functional communication: you adapt detail to the audience and push back on stakeholders constructively

Nice to Haves

• A column‑store analytics engine in production: ClickHouse ideally, or Druid, Pinot, or BigQuery at serious scale
• Batch and streaming together: Kafka, Kinesis, or Flink feeding a serving layer, not just nightly batch
• The exact stack: Dagster, Spark, DuckDB, Iceberg, ClickHouse Cloud, Cube.js. Any two or three is already strong
• Streaming TV advertising or programmatic background, or experience with compliance‑related problems

What We Offer

Location: Paris - the pay range for this role is €90,000–€120,000.

• Variable pay based on objectives you hit. No arbitrary targets.
• Health insurance. Full coverage via Alan.
• Meal vouchers. Via Swile.
• Annual offsite. The whole team, once a year, somewhere worth the trip.
• Tech Syncs. Engineering and Product meet in person at least quarterly, worldwide.

Equal Opportunity

Vibe is an equal opportunity employer. We evaluate all applicants without regard to race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law.

We believe the best ideas come from teams with different backgrounds, perspectives, and experiences. If you need a reasonable accommodation during the application or interview process, please let us know.