Data Engineer • Senior

Who you are

You have 5+ years of experience in data engineering, with a strong focus on building and maintaining data pipelines. You are proficient in Python and SQL, and you understand the intricacies of data transformations and quality checks. Your experience includes designing resilient data flows that can handle retries and failures, ensuring that data integrity is maintained throughout the process. You thrive in collaborative environments, working closely with analytics and machine learning teams to deliver high-quality data solutions. You are detail-oriented and have a knack for optimizing data pipelines for performance and cost efficiency. You are excited about the potential of AI and cloud computing and are eager to contribute to innovative projects.

What you'll do

In this role, you will design, build, and own production-grade data pipelines that are essential for analytics and machine learning applications. You will implement data transformations and validation processes to ensure data quality and reliability. Your responsibilities will include optimizing existing pipelines for performance and cost efficiency, as well as collaborating with cross-functional teams to understand their data needs. You will also be involved in troubleshooting and resolving issues related to data flows, ensuring that the systems are robust and efficient. As part of a dynamic team, you will have opportunities for professional growth and development within Nebius.

What we offer

Nebius offers a competitive salary and a comprehensive benefits package, along with flexible working arrangements. You will be part of a collaborative work environment that values innovation and initiative. As the company continues to grow and expand its products, you will have the chance to work on cutting-edge technology in the AI cloud infrastructure space. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.