Spotify Engineering

Overview

Spotify is the largest audio streaming platform globally, with a catalog spanning music, podcasts, and audiobooks where personalization has to bridge wildly different content models and the data platform underpins editorial, royalties, and recommendations alike. The blog is best known in three areas: a long-running data platform built on Google Cloud and BigQuery that has shaped industry conversations about data mesh and self-service analytics, ML pipelines that generate tens of millions of content annotations to feed downstream search and recommendations, and mobile engineering disciplines like systematic app-size reduction that matter on the global low-end Android base. For interviews, 'Spotify's Data Platform' is a good reference for any 'design a data platform' question, and 'Infrastructure to Run User Forecasts at Spotify' anchors forecasting-system discussions.

Interview questions

• What can I learn from Spotify's engineering blog?
• Which Spotify post is most useful for data-platform interviews?
• Why is Spotify's blog valuable for forecasting and mobile interviews?

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