About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The Data Engineering team is responsible for building and maintaining robust data infrastructure that powers analytics, and business intelligence across Nebius. We design and implement scalable data pipelines, optimize data storage and processing, and enable data-driven decision making across the organization. The team works closely with product teams and business stakeholders to ensure alignment with company goals.We are looking for a Data Engineer to design, build, and maintain our data infrastructure and pipelines. You will work on processing large-scale datasets, optimizing data workflows, and enabling analytics capabilities that support our rapidly growing cloud platform.
Your responsibilities:
- Design, develop, and maintain scalable data pipelines.
- Build and optimize data infrastructure.
- Implement data quality monitoring and validation frameworks.
- Optimize data storage, processing, and query performance for large-scale datasets.
- Design and implement data models for analytics and reporting use cases.
- Develop tools and automation to improve data engineering workflows and productivity.
- Ensure data governance, security, and compliance standards are met.
- Participate in on-call rotation to support production data systems.
Must-haves:
- 3+ years of experience in data engineering or related roles.
- Experience building and maintaining data pipelines using orchestration tools (e.g., Airflow, Prefect, Dagster).
- Strong proficiency in SQL and solid programming skills in Python.
- Experience with distributed data processing frameworks (e.g., Apache Spark, or similar).
- Knowledge of data modeling principles and best practices.
- Understanding of data architectures and storage systems.
Nice-to-haves:
- Experience with real-time data streaming platforms.
- Familiarity with Infrastructure as Code tools (Terraform, etc).
- Experience with containerization (Docker) and Kubernetes.
- Knowledge of data governance and privacy frameworks (GDPR, SOC2).
- Knowledge of data quality and observability tools (Great Expectations, etc.).
We conduct coding interviews as part of the process.
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
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Skills Required
- 3+ years of experience in data engineering or related roles
- Experience building and maintaining data pipelines using orchestration tools
- Strong proficiency in SQL
- Solid programming skills in Python
- Experience with distributed data processing frameworks
- Knowledge of data modeling principles and best practices
- Understanding of data architectures and storage systems
What We Do
Cloud platform specifically designed to train AI models
