Data Infrastructure Engineer

The Data Infrastructure product area at Spotify enables teams across the company to solve complex data challenges at scale. As a Data Infrastructure Engineer, you will collaborate with engineers across multiple squads to shape the future of data processing and developer experience at Spotify.

Responsibilities:

• Build large-scale batch and real-time data processing tools on Google Cloud Platform, improving developer experience and standardizing workflows
• Collaborate with product owners, engineers, and cross-functional squads to deliver impactful features across the data ecosystem
• Expand and evolve Spotify's data processing platform to meet growing and changing business needs
• Improve the experience for data practitioners by driving best practices, tooling, and standardization across the ecosystem
• Contribute to the evolution of a unified data platform, including efforts toward a data monorepo
• Support the development of systems that enable AI agents to effectively interact with and leverage data infrastructure

Requirements:

• 3+ years of experience working in data engineering or a related field
• Experience with building and maintaining data pipelines using modern programming languages
• Strong understanding of systems design, data structures, and scalable architectures
• Comfortable working with high-volume, heterogeneous datasets in distributed cloud environments
• Experience with Python or JVM-based data processing frameworks such as Spark, Flink, or Dataflow
• Care deeply about developer experience and enjoy building tools that help others move faster
• Apply solid engineering practices like continuous delivery, testing, and writing maintainable, high-quality code
• Curious about emerging technologies, including AI and agent-based systems, and how they can improve data workflows