Senior Data Engineer - Financial Systems

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.

As a Senior Data Engineer in the Financial Systems team, you will play a crucial role in building and scaling the data platform that powers Epidemic Sound's financial backbone. Your role will be to set the technical direction for our financial data architecture, lead the integrations connecting our data platform to the rest of the business, and shape how modern data pipelines and agentic AI tooling transform the way financial data engineering gets done.

We work across the whole Epidemic Group, enabling both the core business and new acquisitions to keep accurate and reliable records of sales and consumption data, as well as support varying regulatory reporting requirements.

This focus is central to our broader strategy of accelerating the company’s transformation toward smarter, more scalable ways of working by embedding Agentic development and tooling at the core of our technical and financial operations. You'll work at the intersection of Tech and Finance, where the systems and data pipelines you build directly affect how reliably we ingest sales and settlement data, run financial reporting, and scale our data infrastructure as the company grows.

Your key responsibilities include

• Own, maintain, configure, enhance, deploy and document our financial systems infrastructure, particularly our custom code and integrations.

• Explore, discover, analyze, prototype, experiment and measure. Work with stakeholders and management to define systems requirements for new technology implementations, staying abreast of current industry trends.

• Review, retrospect and adapt, (re)learn and (re)iterate based on new knowledge and experience. Contribute to well-functioning collective ownership and decision making. Think and build smart, both for now and with the future in mind.

• Implement automation to make processes repeatable, scalable, and secure.

• Monitor systems and networks for issues and vulnerabilities and investigate security incidents when they occur based on established policies and protocols.

Requirements

• 5 + years of Data Engineering experience

• Experience working with databases, including advanced query usage and DBT

• Experience of data processing frameworks and applications