Senior Data Engineer

Role description

Role Overview

The Data Engineering team builds and operates the data platform that powers analytics, business intelligence, operational reporting, and data-driven products across Nebius. We ingest data from internal and external systems, develop reliable transformation pipelines and data models, and make trusted datasets available to business and product teams.

What You Will Do

Own the design, delivery, and operation of complex data pipelines, datasets, and platform components. Translate business and analytical requirements into scalable data models, reliable data products, and clear technical plans.

Why It Might Be a Fit

You will work closely with product, platform, and business teams, helping them use data effectively while ensuring that our systems remain maintainable and trustworthy as Nebius grows.

Requirements

• 5+ years of experience in data engineering, backend engineering, or a related role; or equivalent experience delivering and operating production data systems.
• Proven experience independently delivering complex data pipelines or data-platform capabilities from problem definition through production operation.
• Strong Python and SQL skills, including writing maintainable production code and optimizing non-trivial queries.
• Hands-on experience with workflow orchestration tools such as Airflow, Prefect, or Dagster.
• Strong understanding of data modeling, including designing maintainable analytical models and data contracts for multiple consumers.
• Solid knowledge of data architectures and storage systems, including the trade-offs between different processing and storage approaches.
• Experience designing for reliability: testing, monitoring, data-quality validation, alerting, debugging, and incident resolution.
• Ability to make technical decisions under ambiguity, explain trade-offs clearly, and collaborate effectively with engineers and non-technical stakeholders

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