Senior Data Engineer, Music Platform

Join our global force of 400+ innovators, blending the latest in tech with the greatest in soundtracking, from our Stockholm HQ to offices in London, New York, Los Angeles, Berlin, Paris, Oslo, and Seoul. We’re an industry leader with a startup mentality. We take what we do seriously, but we don’t take ourselves too seriously. Creating and collaborating to transform the sound of streaming, content, and culture. Come join us, and let the world feel your work

The Music team is the engine behind Epidemic Sound's music catalogue. We own the tools, pipelines, and platform that get music out to the right places in the right formats - and make sure artists get paid accurately along the way. We're one of the most data-intensive teams at Epidemic, and we are building the infrastructure that helps us invest smarter in the right music for our users.

This is a high-ownership role in a small, autonomous team that works closely with our music colleagues and moves fast. You will plan, build, and lead across a platform that sits at the heart of what Epidemic does, with real influence over technical direction and future projects.

Your key responsibilities include

• Own and evolve the full data lifecycle across ingestion, processing, enrichment, and distribution, using dbt models to make our music catalogue accessible and usable across internal and external destinations.

• Own features end-to-end: from technical design through deployment and iteration in production

• Take responsibility for the quality, accessibility, and use of the team's data, keeping what we own trustworthy and well-documented

• Break down complex problems into clean, maintainable components with good instincts for API, event, and database design

• Set technical direction and standards for your area, influencing how others build

• Mentor other engineers through code reviews, pairing, and knowledge sharing

• Collaborate with music teams and other stakeholders to translate domain needs into platform capabilities

Requirements

• A well-rounded foundation in both software engineering and data engineering, moving comfortably between the two

• Knowledge of software engineering fundamentals: system design, APIs, testing, and CI/CD

• Extensive experience building and operating data platforms in a cloud environment

• Agentic development mindset: you use AI agents actively in your own work, knowing where they add leverage and where human judgment is non-negotiable

• A track record of leading technically in a team, owning outcomes and influencing how others build

• Clear, direct communication across disciplines - you work well with music teams, product managers, and commercial stakeholders without relying on translation layers.