About the job
Why Join Nebius
Nebius is at the forefront of cloud computing, catering to the global AI economy. We empower our clients with innovative tools and resources to tackle real-world problems and revolutionize industries, all while minimizing infrastructure expenses and the necessity for extensive in-house AI/ML teams. Our workforce operates at the cutting edge of AI cloud infrastructure, collaborating with some of the most experienced and visionary leaders and engineers in the industry.
Your Work Environment
With our headquarters in Amsterdam and listed on Nasdaq, Nebius boasts a global presence with research and development hubs throughout Europe, North America, and Israel. Our team, comprising over 1,400 employees, includes more than 400 highly skilled engineers with extensive knowledge in both hardware and software engineering, supported by an in-house AI R&D division.
The Role
The Data Engineering team is tasked with creating and sustaining a robust data infrastructure that drives analytics and business intelligence across Nebius. Our responsibilities include designing and implementing scalable data pipelines, optimizing data storage and processing, and facilitating data-driven decision-making across the organization. This position involves close collaboration with product teams and business stakeholders to ensure alignment with corporate objectives. As a Data Engineer, you will be responsible for designing, building, and maintaining our data infrastructure and pipelines. Your work will include processing large-scale datasets, optimizing data workflows, and enabling analytics capabilities that support our rapidly expanding cloud platform.
Your Responsibilities:
- Design, develop, and maintain scalable data pipelines.
- Build and optimize data infrastructure.
- Implement data quality monitoring and validation frameworks.
- Enhance data storage, processing, and query performance for large-scale datasets.
