--- title: 'Senior Backend Data Engineer – Content Intelligence at Spotify' canonical: 'https://feeny.ai/job/senior-backend-data-engineer-content-intelligence-spotify-stockholm-gwwfb0knrbdn' type: 'job' last_seen: '2026-09-26' --- # Senior Backend Data Engineer – Content Intelligence at Spotify - **Company:** Spotify - **Location:** Stockholm, Sweden - **Work type:** hybrid - **Posted:** 2026-09-22 - **Last confirmed live:** 2026-09-26 - **Apply:** https://jobs.lever.co/spotify/80c3a1cd-3f98-49e5-88d1-b45fca349d7f ## Job description 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. ## What You Will Do - 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 ## Who You Are - You have 5+ years of relevant engineering experience, with strong experience in backend and/or data engineering - You have deep expertise in either backend or data engineering and are comfortable working across both disciplines - You have experience building and scaling large-scale distributed systems - You have strong programming experience in Java, Scala, and/or Python - You understand how to design systems with scalability, reliability, performance, and cost in mind - You’re comfortable taking end-to-end ownership of complex engineering problems - You can translate technical problems into designs, RFCs, and executable engineering plans - You communicate effectively and enjoy collaborating with engineering, product, and technical stakeholders - You’re comfortable operating in an environment where backend, data, ML infrastructure, and AI increasingly overlap - You’re able 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 Where You’ll Be - This role is based in London or Stockholm - We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. ## About Spotify ## Company Overview - **One-liner**: Spotify is the world's most popular audio streaming subscription service, connecting users to over 100 million tracks, 7 million podcast titles, and 700,000 audiobooks across 184 markets. - **Entity Type**: Public (NYSE: SPOT) - **Headquarters**: Stockholm, Sweden - **Founded**: 2006 - **Founders**: Daniel Ek and Martin Lorentzon ## Core Business - Primary industry: Audio streaming and digital media - Target customers: B2C (consumers via Free and Premium tiers) and B2B (advertisers, artists, and labels through Spotify Advertising and Spotify for Artists) - Mission: "To deliver creativity to the world—one note, one voice, one idea at a time." ## Products & Services - **Spotify Free**: Ad-supported streaming of music, podcasts, and audiobooks - **Spotify Premium**: Subscription tier with offline mode, improved sound quality, and ad-free listening - **Spotify for Artists**: Analytics, promotion, and monetization tools for creators - **Spotify Advertising**: Programmatic and self-serve ad platform for brands - **Audiobooks**: Catalog of 700,000+ audiobook titles (market entry in 2022) ## Market Standing - **Valuation/Market Cap**: Not disclosed in available sources; stock price reported at USD 391.23 (as of 2024-10-29) - **Key Metric**: Annual Revenue EUR 17.2B; 777 million monthly users including 300 million subscribers (per Spotify Newsroom). Note: LinkedIn company data lists 365M users/165M subscribers — conflicting reports, likely reflecting an older snapshot. - **Notable Investors/Partners**: Series A of USD 21.6M with 5 investors (2008); debt financing of USD 1.0B (2016); convertible notes in 2016 and 2021. Key acquisitions include Sonantic (2022), Mediachain (2017), and Tunigo (2013). - **Growth Signals**: Headcount grew +14.2% YoY to 8,921 employees; 9 offices across 4 countries; expansion into audiobooks; 300M+ paying subscribers. ## Competitive Advantages - Scale: largest audio streaming subscriber base globally - Data and AI personalization: mature recommendation engines and AI-driven discovery - Multi-format audio ecosystem: music, podcasts, and audiobooks in a single app - Strong brand recognition and deep creator relationships ## Strategic Focus - AI-powered personalization and generative audio tools - Audiobook market expansion - Podcast ecosystem growth - Creator monetization and artist tools ## Why Work Here - Employer rating 4.0/5.0 from 2,155 reviews (Work-Life: 4.2, Compensation: 3.9, Culture: 4.0, Career: 3.5) - **Work ## Other roles at Spotify - [Senior Program Manager - Podcast Sales Strategy & Solutions](https://feeny.ai/job/senior-program-manager-podcast-sales-strategy-solutions-spotify-los-angeles-73rrnw5304vm) — Los Angeles, CA - [Security Engineer - Detection and Response](https://feeny.ai/job/security-engineer-detection-and-response-spotify-new-york-g9qm35g737m9) — New York, NY - [CoLM 2026 — Full Time](https://feeny.ai/job/colm-2026-full-time-spotify-new-york-gh54h73w6m4x) — New York, NY - [RecSys 2026 — Full Time](https://feeny.ai/job/recsys-2026-full-time-spotify-new-york-b85hx47wn8sz) — New York, NY - [CoLM 2026 — Intern](https://feeny.ai/job/colm-2026-intern-spotify-new-york-n2dcrzem0xar) — New York, NY - [RecSys 2026 — Intern](https://feeny.ai/job/recsys-2026-intern-spotify-new-york-z1tn2f4010zq) — New York, NY - [Senior Product Manager - User Platform](https://feeny.ai/job/senior-product-manager-user-platform-spotify-london-6e39za8y4c7s) — London, United Kingdom - [Creator Partner Manager, Spotify México](https://feeny.ai/job/creator-partner-manager-spotify-mexico-spotify-mexico-city-b3t6d3c0s0m9) — Mexico City, Mexico - [Senior Applied Research Scientist - Personalization](https://feeny.ai/job/senior-applied-research-scientist-personalization-spotify-london-fy1hz1t66dtb) — London, United Kingdom - [Senior Applied Research Scientist - Personalization](https://feeny.ai/job/senior-applied-research-scientist-personalization-spotify-new-york-qadrpv6ahntv) — New York, NY