Data Infrastructure Engineer – Platform

What You'll Do

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

Who You Are

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

Where You'll Be

This role is based in Toronto.
We offer you the flexibility to work where you work best! There will be some in-person collaboration, and we expect you to be within a commutable distance to the office.