Data Engineer
Core
Building and operating the data platform that powers analytics, business intelligence, operational reporting, and data-driven products across Nebius.
Role type
Senior Data Engineer
Builds
Reliable transformation pipelines, data models, and trusted datasets for business and product teams
Domain
Cloud infrastructure for the global AI economy
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, workflow orchestration (Airflow/Prefect/Dagster), data modeling, data architecture, reliability engineering, incident response
Preferred skills
real-time/streaming technologies, Docker, Kubernetes, Infrastructure as Code (Terraform), data governance (GDPR/SOC 2), data observability tools
Technologies
Airflow, Prefect, Dagster, Docker, Kubernetes, Terraform, Great Expectations
Responsibilities
Design and operate complex data pipelines and platform components; translate business requirements into scalable data models; design data architecture and orchestration patterns; improve data quality, observability, and incident response; resolve production performance and reliability issues; establish reusable tools and automation; define data contracts with product teams; mentor engineers; participate in on-call rotation
Seniority
Senior, hands-on IC
