Data Engineer
- Posted
Who we’re looking for
- 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.
What you’ll do
- 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.
About the position
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.
Benefits
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams