The Personalization (PZN) team at Spotify aims to enhance the listening experience by providing tailored recommendations for music, podcasts, and audiobooks.
The team is seeking Data Engineers to contribute to the development of products like Home, Search, and personalized playlists such as Made For You, Discover Weekly, and Daily Mix.
Data Engineers will work with large-scale data pipelines using frameworks like Scio, BigQuery, Google Cloud Platform, and Apache Beam.
Responsibilities include developing, deploying, and operating Java services that impact millions of users and supporting machine learning projects for personalized user experiences.
Collaboration with engineers, product managers, and stakeholders is essential, with opportunities for learning and leadership.
The role requires delivering scalable, testable, maintainable, and high-quality code while promoting best practices through mentorship and accountability.
Requirements:
Candidates should be familiar with data modeling, data access, and data storage techniques.
Experience with distributed data processing frameworks such as Beam or Spark is required.
A desire to work in a team that employs agile software development processes, data-driven development, and responsible experimentation is essential.
Candidates should value collaborative work opportunities.
Benefits:
The position offers flexibility to work from anywhere within the EMEA region, excluding France due to on-call restrictions.
The team operates within the Central European and GMT time zones to facilitate collaboration.
