# Senior Data Engineer

**Company**: Nebius
**Location**: Tel Aviv, Israel
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/nebius/jobs/4982904101?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_81e56df9-d83

## Description

Nebius is looking for a Senior Data Engineer who will build and own data pipelines, and drive the design and technical leadership within the data engineering team.

This is a hands-on data engineering role, focused on designing, implementing, and maintaining reliable data flows for analytics and machine learning.

Your responsibilities will include:

- 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.

Supporting Infrastructure:

- 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.

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.

Nice to Have:

- Experience contributing to or working extensively with open-source software.

- Experience building data pipelines using Apache Spark or similar distributed processing frameworks.

- Experience building data pipelines that support machine learning workflows.

- Familiarity with cost-optimized data processing (e.g., Spot / Preemptible compute).

- Experience with relational and non-relational data stores.

- Experience working with large-scale or high-reliability data systems.

- Experience collaborating with strong Data Science and ML teams.

Benefits & Perks:

- 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

## Skills

### Required
- Python
- SQL
- Kubernetes
- Linux
- workflow orchestration frameworks
- stateless system design
- idempotent data processing
- cloud environments
- data pipelines

### Nice to have
- Apache Spark
- distributed processing frameworks
- machine learning workflows
- cost-optimized data processing
- relational and non-relational data stores
- large-scale or high-reliability data systems

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/nebius/jobs/4982904101?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)