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Senior Data Engineer

Nebius· Data & Analytics
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Hybrid (Tel Aviv, Israel)full-timePosted 4w ago

About the role

Senior Data Engineer at Nebius leading design and ownership of data pipelines, with a hands-on focus on reliable data flows for analytics and ML. Role emphasizes production-grade pipelines, stateless design, data quality, and collaboration with Analytics, Data Science, and ML teams. Based in Tel Aviv, Israel.

Responsibilities

  • Design, build, and own production-grade data pipelines using Python and SQL.
  • Develop stateless, idempotent pipelines that are resilient to retries, failures, and infrastructure interruptions.
  • Implement data transformations, validation, and data quality checks.
  • Optimize pipelines for performance, reliability, and cost efficiency.
  • Collaborate closely with Analytics, Data Science, and ML teams to deliver trusted datasets.
  • Orchestrate pipelines using a workflow orchestration framework (e.g., Airflow or equivalent).
  • Package and run data workloads using Docker and deploy them on Kubernetes.
  • Use autoscaling and Spot / Preemptible compute for efficient pipeline execution.
  • Build CI/CD automation for data pipelines.
  • Use Infrastructure as Code only to provision and manage the infrastructure required to run pipelines.

Qualifications

  • 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 and idempotent data processing.
  • Experience building and operating data pipelines in cloud environments.
  • Experience with workflow orchestration frameworks.
  • Strong Linux fundamentals and production debugging skills.
  • Working knowledge of spoken and written English.

Skills

Required:Data pipeline design and developmentPythonSQLKubernetesAirflow or equivalentDocker

Benefits

  • Competitive compensation
  • Career growth and learning opportunities
  • Flexibility and ownership
  • Collaborative and innovative culture
  • Opportunity to work on impactful AI projects
  • International environment and talented teams
Last updated Sep 23, 2026. Interested? Apply on the company site.
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