Hybrid Data Engineer I - Personalization en Spotify

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Daily Mix to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.

Within this organization, we are looking for a Data Engineer to join the Home Music team, responsible for the music recommendations users see on Spotify’s Home surface. We craft this entry point to Spotify such that it greets our listeners with a variety of music-related content packaged in ways they find engaging and useful. Our work is highly visible within the company and core to many of Spotify’s core strategic objectives.

Our team is a cross-functional group of Machine Learning and Backend engineers, looking to add a Data Engineer into the mix. You will partner with teammates to design and deploy scalable, personalized recommendation systems, including building data solutions that support the production and evaluation of large-scale ML models.