Data Engineer (Agentic Search)

Location: Israel. Applicants must be authorized to work in the country in which they apply and provide proof of employment eligibility.

Company

Nebius builds a full-stack AI cloud platform for data processing, model training, inference, and production deployment.

What you will do

• Design, develop, and operate the data platform supporting agent-native search, ML pipelines, product analytics, and business operations.
• Build and maintain reliable batch and streaming pipelines from production services and external systems.
• Design scalable, analytics-ready warehouse models across medallion layers and consumer-facing datasets.
• Improve observability through data quality checks, freshness monitoring, lineage, schema evolution, and cost controls.
• Partner with researchers, engineers, analysts, finance, and product managers to deliver trustworthy datasets.
• Investigate production data incidents, schema changes, corrupted datasets, and large-scale backfills.

Requirements

• 5+ years of data engineering experience.
• Strong experience with Snowflake or comparable cloud data warehouses, analytics-ready data modeling, and medallion-style architecture.
• Knowledge of databases, schema design, query optimization, and NoSQL use cases.
• Production experience with Airflow, dbt, AWS or GCP data services, and Kafka or Pub/Sub.
• Hands-on experience with Spark, MapReduce, or similar distributed processing systems.
• Fluent Python and SQL skills, with experience operating production data systems and handling incidents.

Culture & Benefits

• Competitive compensation and career growth opportunities.
• Learning opportunities, flexibility, and ownership.
• Collaborative, innovative, and international environment.
• Opportunity to work on impactful AI projects with experienced engineering and research teams.