Data Engineer - Learning infrastructure

Spotify is seeking a Data Engineer to join their Hendrix Feature team, focusing on developing a robust, company-wide platform for machine learning features. This role is crucial in building and maintaining a sophisticated ML infrastructure that streamlines the productization of ML models across Spotify. The position combines technical expertise in data engineering with collaborative leadership, requiring both deep technical knowledge and the ability to mentor others.

The role involves working with cutting-edge machine learning infrastructure, where you'll be responsible for managing feature lineage and maintaining both offline and online states of ML features. You'll be working in a dynamic environment that values both technical excellence and cross-functional collaboration, making this an excellent opportunity for someone who enjoys solving complex technical challenges while working with diverse teams.

As a Data Engineer at Spotify, you'll be at the forefront of building scalable solutions that power Spotify's machine learning ecosystem. The position offers the flexibility of hybrid work arrangements in Stockholm, combining the benefits of remote work with in-person collaboration. This is an excellent opportunity for experienced engineers who want to impact how one of the world's leading streaming platforms handles machine learning infrastructure at scale.

The ideal candidate will bring strong technical skills in languages like Python, Java, or Scala, combined with a deep understanding of data processing systems and machine learning infrastructure. You'll be part of a team that values innovation, collaboration, and technical excellence, working on projects that directly impact Spotify's machine learning capabilities.