Senior Data Engineer
Nebius — Tel-Aviv, Tel-Aviv District, Israel · In-Person · Senior
Role description
Role Overview
Nebius is looking for a Senior Data Engineer who will design, build, and own production-grade data pipelines using Python and SQL. The role is focused on designing, implementing, and maintaining reliable data flows for analytics and machine learning. Infrastructure, cloud, and Kubernetes are used only as tools to run pipelines reliably and cost-efficiently.
What You Will 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.
Why It Might Be a Fit
The ideal candidate will have 8+ years of experience as a Data Engineer, primarily focused on building data pipelines. They should have strong understanding of stateless system design and idempotent data processing, experience building and operating data pipelines in cloud environments, and experience with workflow orchestration frameworks.
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 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
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