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Senior Backend Data Engineer – Content Intelligence

Spotify· Engineering – Experience
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Hybrid (London), Hybrid (Stockholm)PermanentPosted 3w ago

About the role

Senior Backend Data Engineer to build and scale systems powering Spotify’s content understanding across audio, video, text, and images. Roles sits at intersection of backend engineering, distributed data systems, ML infrastructure, and applied AI within the Content Intelligence Product Area.

Responsibilities

  • Design, build, and evolve scalable backend and data systems powering Spotify’s content intelligence capabilities
  • Take end-to-end ownership of significant engineering projects, from technical design and architecture through implementation and operation
  • Build reliable infrastructure for large-scale content processing across audio, video, text, and images
  • Create RFCs and contribute to architectural decisions within your squad and across connected systems
  • Develop reliable and cost-efficient systems for high-throughput data and content-processing workloads
  • Work with distributed data systems and large-scale content-management infrastructure
  • Partner closely with other Engineers to plan and deliver technical solutions
  • Contribute to AI and LLM-enabled workflows and infrastructure, including systems for content understanding, enrichment, and processing
  • Evaluate and integrate AI capabilities into production systems at scale
  • Build a strong understanding of adjacent systems and contribute to a shared on-call rotation
  • Contribute to technical quality and engineering best practices across the team

Qualifications

  • 5+ years of relevant engineering experience, with strong experience in backend and/or data engineering
  • Deep expertise in either backend or data engineering and are comfortable working across both disciplines
  • Experience building and scaling large-scale distributed systems
  • Strong programming experience in Java, Scala, and/or Python
  • Understand how to design systems with scalability, reliability, performance, and cost in mind
  • Comfortable taking end-to-end ownership of complex engineering problems
  • Ability to translate technical problems into designs, RFCs, and executable engineering plans
  • Effective communication and collaboration with engineering, product, and technical stakeholders
  • Comfort operating in an environment where backend, data, ML infrastructure, and AI increasingly overlap
  • Ability to participate in a shared on-call rotation
  • Experience with ML infrastructure, AI/LLM systems, agents, model evaluation, or integrating model APIs at scale is a plus
  • Exposure to large-scale multimedia processing, audio processing, search, or recommendation systems is a plus

Skills

Required:Backend engineeringData engineeringProgramming languagesSystem design
Last updated Oct 21, 2026. Interested? Apply on the company site.

About Spotify

Music for everyone

Spotify is a digital music service that gives you access to millions of songs.

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