Senior Backend Data Engineer – Content Intelligence
Key Skills for This Role
Full Job Posting
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.
About Spotify
Spotify is a digital music, podcast, and video streaming service that gives users access to millions of songs and other content from creators worldwide.
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