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Senior Backend Data Engineer – Content Intelligence

Spotify AB · Stockholm

posted 2d ago, verified live

Key factors at a glance

Seniority
Senior
Experience
—
Work mode
—
Salary
Not stated
Required working language
English

Must-haves

  • experience in backend engineering
  • knowledge of distributed data systems
  • understanding of ML infrastructure
  • applied AI experience
  • end-to-end ownership of engineering problems

Nice-to-haves

  • experience with content understanding
  • background in data engineering
  • knowledge of content enrichment
  • familiarity with AI systems

Company hiring signal

See whether Spotify AB is scaling up or slowing down, from its posting history.

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Original posting

English

The Experience team designs Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify. The Content Intelligence Product Area is a core part of Spotify’s Content Platform within the Experience mission. We build systems that create deep, machine-readable understanding of content across audio, video, text, and images before it reaches users. This enables automation, safety, and entirely new product experiences. Our work powers content enrichment, quality analysis, annotation platforms, and scalable intelligence systems that allow teams across Spotify to build without needing direct content understanding expertise. We’re looking for a Senior Backend Data Engineer to help build and scale the systems powering content understanding across Spotify. This role sits at the intersection of backend engineering, distributed data systems, ML infrastructure, and applied AI. You’ll take end-to-end ownership of significant engineering problems while working alongside other Engineers.

Shown in its original English. To apply, continue to the company's own page.