AdTechTalent
Engineering1 month agoRemote

Vibe.co

Data Engineer

data platformbig datalakehouseIcebergSparkDuckDBTrinoClickHouseCube.jsDagsterAirflowPrefectdbtKafkaKinesisFlinkstreamingbatch processingdata engineeringproduction dataincident responseon-call

Key details

Salary

€90K – €120K

Employment type

Full-time

Seniority

Senior

Years experience

5-10

Location

Paris, France

Full job description

Join Vibe's Data Platform team to build and operate production data pipelines and infrastructure at petabyte scale. Responsibilities include managing batch, streaming, and reporting stacks; designing storage and compute solutions with Iceberg, Spark, DuckDB, and Trino; optimizing cost and latency; owning data contracts for ClickHouse and Cube reporting; building alerts, SLOs, and runbooks; leading incident response and on-call duties; influencing upstream data producers; and developing tooling to improve team efficiency. Requires 5+ years experience in production data platforms, deep lakehouse expertise, experience with orchestrators like Dagster or Airflow and transformation frameworks like dbt, operational ownership, and strong cross-functional communication. Benefits include variable pay, health insurance, meal vouchers, annual offsite, and quarterly in-person tech syncs. Location: Paris, France. Salary range: €90,000–€120,000.

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 to reduce user-facing incidents
  • 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 improve team speed

Requirements

  • 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: adapt detail to the audience and push back on stakeholders constructively

Tech stack

IcebergSparkDuckDBTrinoClickHouseCube.jsDagsterAirflowPrefectdbtKafkaKinesisFlink

Benefits

Variable pay based on objectives you hit, no arbitrary targetsHealth insurance full coverage via AlanMeal vouchers via SwileAnnual offsite for the whole teamEngineering and Product meet in person at least quarterly worldwide

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