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Data Engineer - Personalization (Search) - Remote

Posted 7 days ago
Software Development
Full Time
GB

Overview

The Personalization (PZN) team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music, podcasts and audiobooks better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build which include destinations like Home and Search as well as original playlists such as Made For You, Discover Weekly and Daily Mix.

In Short

  • Work with large-scale data pipelines with data processing frameworks.
  • Develop, deploy, and operate Java services impacting millions of users.
  • Support machine learning projects for personalized user experiences.
  • Collaborate with engineers, product managers, and stakeholders.
  • Deliver scalable, testable, maintainable, and high-quality code.
  • Promote knowledge sharing and best practices within the team.
  • Work within the EMEA region with flexible location options.
  • Contribute to a high-energy, positive team environment.
  • Embrace learning and leadership opportunities.
  • Value collaborative work and agile development processes.

Requirements

  • Familiarity with data modeling, access, and storage techniques.
  • Experience with distributed data processing frameworks.
  • Desire to work in agile software development and data-driven environments.
  • Ability to work collaboratively in a team setting.

Benefits

  • Flexible work location within the EMEA region.
  • Opportunities for skill growth and development.
  • Engagement in impactful projects with a large user base.
  • Supportive team culture focused on mentorship.
Spotify logo

Spotify

Spotify is a leading audio streaming platform that aims to make music and podcasts accessible and enjoyable for everyone. The Safe-and-Sound team at Spotify focuses on enhancing user experience by developing Responsible AI solutions that personalize recommendations for millions of listeners. By leveraging machine learning and collaborating with cross-functional teams, Spotify continuously innovates to connect artists and fans in meaningful ways, ensuring a safe and engaging environment for its users.

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