Data Pipeline Engineer at Spotify

Drive innovation at Spotify as a Data Pipeline Engineer in Toronto. Focus on creating powerful data infrastructure and enhancing developer workflow experiences.

This position on the Platform team seeks a Data Pipeline Engineer with 3+ years of experience in data engineering or a relevant field. You will build and maintain data pipelines, develop tools for real-time data processing on Google Cloud, and work closely with engineering squads to craft impactful data solutions. Your skills will modernize workflows and improve interactions with AI systems.

Key Responsibilities: • Create tools for batch and real-time data processing • Collaborate with product teams for feature delivery • Enhance Spotify's data processing capabilities • Drive tooling and best practices across the ecosystem • Develop systems for AI agent interaction with data

Requirements: • Over three years in data engineering • Experienced with Python or JVM-based frameworks • Strong understanding of data structures and systems design • Familiar with high-volume data in cloud settings • Passionate about enhancing developer experiences

Become a crucial part of Spotify’s evolution as a Data Pipeline Engineer, championing data workflows and innovation. #J-18808-Ljbffr