Data Engineer - Customer Service Platform

Spotify’s Subscriptions Mission focuses on converting listeners into lifelong subscribers by delivering seamless, valuable experiences across pricing, packaging, and customer journeys. We build the systems and tools that power acquisition, retention, and overall subscription growth at scale.

The Customer Service Platform (CSP) organization builds the tools and infrastructure that power Spotify's customer support operations. Within CSP, the Rock Solid team focuses on reliable, scalable data systems that enable advisors to support hundreds of thousands of users every day.

 

Build and maintain data pipelines that power analytics, reporting, and machine learning systems

Work with BigQuery and GCP to process large-scale datasets

Develop batch and real-time data processing using tools like Dataflow and Pub/Sub

Implement monitoring and data quality checks to ensure reliability

Design data models for downstream consumers across analytics and product teams

Contribute to backend services using Java

Troubleshoot issues and support system reliability

Collaborate with engineers, analysts, and product partners

You have experience in data engineering or backend development

You are comfortable with SQL and working with large datasets

You have experience with cloud platforms, ideally GCP

You are interested in backend development, particularly Java

You understand batch and streaming data concepts

You write maintainable, well-tested code

You are curious and eager to learn

You communicate clearly and work well in teams

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.