About the Role
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...
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...
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