Data Engineer - Commerce Platform

Spotify is seeking a Data Engineer to join their commerce platform team, specifically focusing on revenue protection and misuse prevention. This role is central to designing and implementing core capabilities that identify and prevent misuse across all plans and services. The position offers a unique opportunity to work with cutting-edge data technologies while maintaining SOX-compliant processes.

The role involves building and maintaining sophisticated data pipelines using DBT and Scio, requiring expertise in SQL, Scala/Python, and Java. You'll be working in a collaborative environment, interfacing with product, engineering, and business teams to develop effective solutions for plan misuse prevention.

Based in London, UK, the position offers a flexible hybrid work arrangement, operating within the Central European and GMT time zones. This setup provides an ideal balance between remote work and necessary in-person collaboration. The role demands strong technical capabilities combined with excellent communication skills, as you'll be working with both technical and non-technical stakeholders.

The ideal candidate will bring experience in data engineering, cloud platforms, and scalable backend systems. Knowledge of A/B testing frameworks and experimentation platforms is valuable. This position offers the opportunity to make a significant impact on Spotify's commerce platform while working with a global team of talented professionals.

Join Spotify to help build and maintain the infrastructure that protects their revenue streams and ensures a fair experience for all users. This role combines technical challenges with business impact, making it an excellent opportunity for a data engineer looking to work on meaningful problems at scale.