Senior Backend Data Engineer – Content Intelligence

Spotify
Stockholm, London
Workplace: HybridFull timeFunction: Content & Editorial (Writing/Editing)Experience: 5+ yearsSkills: ["End-to-end ownership","Communication","Collaboration","Translating technical problems into designs","Designing for scalability"]

Build and scale backend and distributed data systems that power content understanding across audio, video, text, and images. Own significant engineering problems end to end, designing and evolving scalable infrastructure for high-throughput content-processing workloads. Partner with engineering and product stakeholders to translate technical problems into RFCs, architecture decisions, and production-ready implementations, including AI/LLM-enabled workflows and systems.

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FursaFursa
Spotify
Spotify
3 days ago

Senior Backend Data Engineer – Content Intelligence

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Build and scale backend and distributed data systems that power content understanding across audio, video, text, and images. Own significant engineering problems end to end, designing and evolving scalable infrastructure for high-throughput content-processing workloads. Partner with engineering and product stakeholders to translate technical problems into RFCs, architecture decisions, and production-ready implementations, including AI/LLM-enabled workflows and systems.
Location: Stockholm, London
Workplace: Hybrid
Employment Type: Full time
Job Function: Content & Editorial (Writing/Editing)
Seniority: Mid level

Key Responsibilities

  • •Design, build, and evolve scalable backend and data systems for 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 and across squads
  • •Develop reliable and cost-efficient systems for high-throughput data and content-processing workloads

Key Requirements

  • •5+ years of relevant engineering experience with strong backend and/or data engineering
  • •Deep expertise in backend and/or data engineering, comfortable working across both disciplines
  • •Experience building and scaling large-scale distributed systems
  • •Strong programming experience in Java, Scala, and/or Python
  • •Comfort taking end-to-end ownership of complex engineering problems
Experience:5+ years
Skills:End-to-end ownershipCommunicationCollaborationTranslating technical problems into designsDesigning for scalability
Tech Stack:JavaScalaPythonDistributed systemsML infrastructureAILLMAgentsModel evaluationModel APIsMultimedia processingAudio processingSearchRecommendation systemsRFCs

Company Brief

Spotify
Provides a music, podcast and audio streaming service offering on-demand access to millions of tracks and podcasts, personalized recommendations, and advertising and subscription-based tiers for listeners and creators worldwide.
Industry: Streaming Platforms
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Stockholm, Sweden
Founded: 2006
Glassdoor
Glassdoor: 4.1
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