Data Engineer
Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.
The role
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.
What we offer
- Competitive salary and comprehensive benefits package.
- Opportunities for professional growth within Nebius.
- Flexible working arrangements.
- A dynamic and collaborative work environment that values initiative and innovation.
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!