Senior Backend Data Engineer – Content Intelligence
Primary stack
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Job description
About the Position
Senior Backend Data Engineer – Content Intelligence
Stockholm / London
Engineering – Experience
Permanent
Hybrid
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About the Position
The Experience team at Spotify designs the 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. 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.
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.
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
Requirements
- 5+ years of relevant engineering experience, with strong experience in backend and/or data engineering
- Deep expertise in either backend or data engineering and comfortable working across both disciplines
- Experience building and scaling large-scale distributed systems
- Strong programming experience in Java, Scala, and/or Python
- Understanding of designing 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
- Comfortable operating in an environment where backend, data, ML infrastructure, and AI increasingly overlap
- 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
We Offer
- This role is based in London or Stockholm
- Flexibility to work where you work best! There will be some in-person meetings, but allows for flexibility to work from home.
About the Company
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: Spotify AI Notice
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