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Epidemic Sound is a global music platform company with 400+ employees across offices in Stockholm, London, New York, Los Angeles, Berlin, Paris, Oslo, and Seoul. The Music team owns the data infrastructure, tools, and pipelines that power the company's music catalogue, ensuring music reaches the right destinations in the right formats and artists are paid accurately.
As Senior Data Engineer, you will own and evolve the full data lifecycle—from ingestion and processing through enrichment and distribution—using dbt models to make the music catalogue accessible across internal and external destinations. This is a high-ownership role in a small, autonomous team working closely with music colleagues and moving at startup pace.
Key responsibilities:
• Own the complete data lifecycle: ingestion, processing, enrichment, and distribution using dbt
• Deliver features end-to-end from technical design through production deployment and iteration
• Ensure data quality, accessibility, and trustworthiness; maintain clear documentation
• Design clean, maintainable components with strong instincts for APIs, events, and databases
• Set technical direction and standards for your area, influencing how others build
• Mentor engineers through code reviews, pairing, and knowledge sharing
• Translate music team and stakeholder needs into platform capabilities
You will have real influence over technical direction and future projects at the heart of what Epidemic Sound does.
Requirements:
• Well-rounded foundation in both software engineering and data engineering
• Strong software engineering fundamentals: system design, APIs, testing, CI/CD
• Extensive experience building and operating data platforms in cloud environments
• Agentic development mindset: actively use AI agents in your work, knowing where they add leverage
• Track record of technical leadership in teams, owning outcomes and influencing how others build
• Clear, direct communication across disciplines (music teams, product managers, commercial stakeholders)
• Proficiency building clean, future-proof data lineages using dbt or similar tools
Nice-to-have:
• Experience with Go and/or Next.js (primary stack; training provided)
• Background working with music or sound
