Senior Data Engineer (AI)

Location: Tel Aviv, Israel. The role is available to work from the Tel Aviv office, and applicants must be authorized to work in the country of application.

Company

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

What you will do

• Design, build, and own production-grade data pipelines using Python and SQL.
• Develop stateless and idempotent pipelines resilient to retries, failures, and infrastructure interruptions.
• Implement data transformations, validation, and data quality checks while optimizing performance, reliability, and cost.
• Collaborate with Analytics, Data Science, and ML teams to deliver trusted datasets.
• Orchestrate workloads with Airflow or an equivalent framework, package them with Docker, and deploy them on Kubernetes.
• Build CI/CD automation and provision pipeline infrastructure using Infrastructure as Code.

Requirements

• 8+ years of experience as a Data Engineer, primarily focused on building data pipelines.
• 6+ years of hands-on experience with Python and SQL.
• 3+ years of experience running workloads on Kubernetes.
• Strong understanding of stateless system design, idempotent data processing, cloud environments, and workflow orchestration.
• Strong Linux fundamentals and production debugging skills.
• Working knowledge of spoken and written English and authorization to work in the country of application are required.

Nice to have

• Experience with open-source software, Apache Spark, or similar distributed processing frameworks.
• Experience building data pipelines for machine learning workflows.
• Familiarity with Spot or Preemptible compute and cost-optimized data processing.
• Experience with relational and non-relational data stores and large-scale or high-reliability data systems.
• Experience collaborating with Data Science and ML teams.

Culture & Benefits

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