Senior Data Engineer

Nebius operates at the cutting edge of AI-native cloud infrastructure & as we scale rapidly so must our Data Engineering capabilities.

We're looking for a Senior Data Engineer who can take ownership of building, maintaining & deploying production-grade data pipelines whilst also designing, implementing & maintaining reliable data flows for analytics & machine learning purposes.

What you'll do:

• 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

What we're looking for:

• 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

We have a high talent bar at Nebius & our interview process is thorough. The process consists of a Tech Recruiter screening, take home assignment & hiring manager interview.

If you're interested in working at real scale at the forefront of AI infrastructure and alongside extremely talented engineers & leaders then please apply here!