Senior Backend Engineer - Content Platform

Spotify; Stockholms kommun; Hybrid; SEK 900,000 - 1,300,000; Full time

Job summary

Spotify is seeking a backend-focused engineer to design, build, and operate ingestion pipelines that handle music deliveries from labels and partners. You will own large parts of the ingestion stack, evolve APIs, and ensure data quality, reliability, and scalable processing across video and metadata.

You’ll collaborate with Content Ops, partner teams, and product squads in a hybrid model across London or Stockholm.

Qualifications

• Experience building backend services and data pipelines at scale.
• Design APIs and manage schema evolution with stable contracts.
• Lead projects from discovery to handover and mentor peers.

Responsibilities

• Build and run backend services and data pipelines for music deliveries.
• Own substantial portions of the ingestion pipeline and evolve APIs.
• Improve reliability and tooling, detect data quality issues at entry.
• Plan Roadmap work, review code, and participate in on-call rotations.
• Collaborate with Content Ops, partner teams and product squads.

Skills

Backend services

Data pipelines

API design

Mentor others

Real-time vs batch processing

Tools

GCP

DDEX

Job description

We design 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.

We own music content ingestion at Spotify, which is how music from labels, distributors and other partners gets onto the platform. We receive industry-standard deliveries, validate them, and turn them into the catalog data that teams across Spotify build on, including lyrics, rights and supply data. As we add new content types and partners, we’re building an ingestion platform that scales without a custom build every time.

What You'll Do

• Build and run the backend services and data pipelines that ingest, validate and process music deliveries from partners, covering audio, metadata, lyrics and new content types
• Own large parts of the ingestion pipeline and lead technical work as we add video, richer partner data and other new content
• Make ingestion more reliable, catch data quality problems at the point of entry, and improve the operational tooling around the pipeline
• Design and evolve APIs and schemas that other teams depend on, keeping contracts stable and backward compatible
• Help move validation towards real time and make Silk Road a well-documented, self-serve platform
• Deliver roadmap work, take part in planning, review code, and share on-call
• Work with Content Ops, operations tooling teams, partner teams and the product teams that build on our content

Who You Are

• You have strong experience building and operating backend services and data pipelines in production at scale, ideally in Java, Scala or Go
• You have designed APIs and handled schema evolution and backward compatibility in systems where other teams rely on stable contracts
• You’re comfortable modelling data for auditability, versioning and efficient querying and understand the tradeoffs between real-time and batch processing
• You lead projects from discovery to handover, make sound technical decisions, and mentor others
• You may have worked with content ingestion, metadata standards such as DDEX, B2B partner integrations, rights or compliance-sensitive data, lyrics or time-synced data, or GCP.

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.

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: https://lifeatspotify.com/ai-notice

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