Job Description
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 Py...
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 Py...