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Backend Engineer II - Data PlatformSpotify · Stockholm
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Spotify

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Backend Engineer II - Data Platform

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🗓️ Posted 2026-09-28 Stockholm Permanent Hybrid ICT
💰 Salary Not shared 📊 Market 60,000 SEK–85,000 SEK/mo

About the Company

Passionate music fans. Innovative tech pros. Perfect harmony. Join our band. Deliver creativity to the world -- one note, one voice, one idea at a time. At Spotify, we focus relentlessly on building the best and most valuable experience available anywhere, enhancing every moment by connecting the world to the art and the creatives who shape it. Spotify transformed music listening forever when it launched in Sweden in 2008. Discover, manage and share over 70m tracks for free, or upgrade to Spotify Premium to access exclusive features including offline mode, improved sound quality, and an ad-free music listening experience. Today, Spotify is the most popular global audio streaming service with 365m users, including 165m subscribers across 178 markets. We are the largest driver of revenue to the music business today. Musicians Specialties: Music Streaming, Audio Platform, Podcasts, Data Analytics, Machine Learning, User Experience

Responsibilities

  • ● Every dataset at Spotify, from the data behind creator royalties to the signals powering recommendations, is registered, published and traced through systems our team builds. We're the source of truth for what data exists at Spotify, where it lives, who owns it, and how it flows from one pipeline to the next.
  • ● These systems sit on the critical path of the platform. Data teams use them every day to publish and find data, and other platform teams build on them for access, retention, governance and incident response. That means our work is judged on correctness and reliability, because every system built on top of ours is only as good as the metadata we provide.
  • ● This is a backend role focused on data management, working on the problems at the core of any large data platform: running a data catalog that stays accurate at scale, capturing lineage across batch and streaming workloads, managing schemas as they evolve, and guaranteeing that consumers only read complete data. We build on open standards like OpenLineage and Apache Iceberg, and define the internal standards for naming, storage and metadata that the rest of Spotify builds against. As the platform takes on new storage technologies and new kinds of data assets, those standards and the systems behind them have to evolve with it, and you'll help decide how.