Data Engineer

Vibe.co

Senior Data Engineer managing production data pipelines for a rapidly growing streaming TV advertising solution. Building and optimizing infrastructure to support petabyte-scale datasets and real-time analytics.

Posted 6/30/2026full-timeParis • 🇫🇷 FranceMid-LevelSenior💰 €90,000 - €120,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating production data platforms, with a focus on large-scale datasets and efficient data processing. Proficient in incident response, operational ownership, and cross-functional communication to enhance team performance and data reliability.

Highest-signal resume keywords

Production Data Platform ExperienceLakehouse Architecture ExpertiseModern Orchestrator ProficiencyOperational OwnershipCross-Functional Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentData Contract ManagementCost and Latency OptimizationIncident Response LeadershipSchema and SLA Influence

Soft Skills

Constructive Stakeholder EngagementDetail Adaptation

Tools & Technologies

IcebergSparkDuckDBTrinoDagsterAirflowPrefectDbt

Industry Keywords

Petabyte-Scale DatasetsBatch ProcessingStreaming DataReporting StacksSLOsRunbooks

Tech Stack

Tools & technologies

AirflowSpark

About the role

Key responsibilities & impact

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

Requirements

What you’ll 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

Benefits

Comp & perks

Variable pay based on objectives you hit. No arbitrary targets.
Fully remote. Work anywhere in Europe. Our office is in the heart of Paris if you want it, but it's not required.
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.