Senior Data Engineer - Financial Data Platform

📋 Description

• Build core financial datasets and abstractions that serve as sources of truth for decisions.
• Design, prototype, and operate scalable data pipelines processing billions of records.
• Apply product thinking across the data lifecycle from sourcing to exposure.
• Define models and abstractions for Premium, Ads, and Royalties.
• Enforce engineering and data quality standards to boost trust and maintainability.
• Collaborate with engineers, data scientists, finance partners, and stakeholders.

🎯 Requirements

• You are comfortable with Python, Java, or Scala to build reliable, maintainable data pipelines.
• You know how to work with JVM-based processing frameworks such as Flink, Beam, Dataflow, or Spark.
• You navigate ambiguity and move forward when problems are loosely defined.
• You have experience with large-scale cloud-based data processing, ideally on Google Cloud Platform.
• You have strong analytical skills and can communicate insights clearly across audiences.
• You care about thoughtful data modeling and treat data as a long-lived product.

🎁 Benefits

• Flexible hybrid role with some in-person meetings in London.
• Work with a world-class Financial Data Platform in a global company.
• Opportunity to influence data products used across Spotify.