Senior Data Engineer - Financial Data Platform

Spotify's Financial Engineering team is seeking a Senior Data Engineer to join their Financial Data Platform team, focusing on building the foundation that powers Finance and enables strategic decision-making across the company. This role combines technical expertise with financial domain knowledge to create trusted financial abstractions and manage complex data systems.

The position offers an opportunity to work on critical financial data infrastructure, processing billions of records and creating core datasets representing key financial domains like Premium, Ads, and Royalties. You'll be part of a team that turns messy, fragmented realities into clean, reusable foundations, building libraries and tools that empower others to produce and trust financial data at scale.

As a Senior Data Engineer, you'll work with cutting-edge technologies in cloud computing and data processing, particularly with Google Cloud Platform and BigQuery. The role requires expertise in JVM-based frameworks such as Flink, Beam, Dataflow, or Spark, combined with strong SQL skills and data modeling capabilities.

The position offers a hybrid work arrangement based in London, providing flexibility while maintaining opportunities for in-person collaboration. You'll work in an inclusive environment that values diverse perspectives and backgrounds, contributing to Spotify's mission of unlocking human creativity through music and audio content.

This role is perfect for someone who enjoys building foundational systems with broad impact, has a product mindset toward data engineering, and wants to work where financial data directly drives company strategy. You'll collaborate with various teams across engineering, data science, finance, and business functions, making this an excellent opportunity for those who thrive in cross-functional environments.