Data Engineer (Spotify Rights Cente, Music)
Requirements
• You have strong SQL skills and deep experience with data modeling and warehouse design,
• You have experience building and operating batch data pipelines at scale using tools such as Scio, Apache Beam, Spark, or similar frameworks,
• You are comfortable working with modern cloud data warehouses such as BigQuery, Snowflake, or similar technologies,
• You have experience with analytics engineering tools like dbt and understand layered data modeling approaches (staging, transformation, reporting),
• You have worked with workflow orchestration platforms such as Flyte, Airflow, or similar systems,
• You can write production-quality code in languages such as Scala, Python, or Java,
• You understand data quality practices and have built monitoring and alerting systems for pipeline reliability,
• You take ownership of solutions end-to-end, from understanding business questions to deploying and validating data pipelines,
• You communicate clearly with both technical and non-technical stakeholders,
• You enjoy learning new domains and tackling complex data challenges such as rights management, content matching, and multi-territory licensing
What the job involves
• The Rights Systems team builds and operates Spotify Rights Center (SRC) — Spotify’s rights management platform that enables Spotify and its partners to identify, manage, and enforce music licensing rights across all the content available on the platform,
• Comparable in scope to YouTube’s Content ID, SRC is purpose-built for Spotify’s ecosystem and underpins the company’s strategy for video and emerging content types. Over the past year, the team has taken SRC from concept to a fully operational production platform, delivering automated content scanning, policy management, enforcement pipelines, appeals workflows, manual claims, and analytics capabilities,
• The team has grown from a single squad to three squads (~30 bandmates) and continues to scale as a strategic investment area for Spotify over the next several years,
• Build and maintain the data pipelines and analytics infrastructure that power Spotify’s rights management platform,
• Own batch and streaming pipelines that generate core datasets used by Spotify Rights Center, including processing content segments, joining rights metadata, and producing match data that drives the product,
• Develop and evolve analytics models that transform pipeline and service data into reporting for system reliability, rightsholder adoption, and business ROI,
• Partner closely with product managers, backend engineers, and insights teams to define metrics, build dashboards, and generate data that informs strategic decisions around platform expansion,
• Maintain data export pipelines connecting backend services and the data warehouse to ensure downstream consumers receive timely and accurate data,
• Implement strong data quality practices, including validation tests, alerts, and monitoring to ensure reliable pipeline outputs,
• Contribute to technical solutions that support licensing, financial engineering, and content platform stakeholders,
• Participate in product ideation with engineers, researchers, product managers, and domain experts across the team,
• Contribute to a collaborative engineering culture and support continuous learning through hack days, reading groups, and internal training
• You have strong SQL skills and deep experience with data modeling and warehouse design,
• You have experience building and operating batch data pipelines at scale using tools such as Scio, Apache Beam, Spark, or similar frameworks,
• You are comfortable working with modern cloud data warehouses such as BigQuery, Snowflake, or similar technologies,
• You have experience with analytics engineering tools like dbt and understand layered data modeling approaches (staging, transformation, reporting),
• You have worked with workflow orchestration platforms such as Flyte, Airflow, or similar systems,
• You can write production-quality code in languages such as Scala, Python, or Java,
• You understand data quality practices and have built monitoring and alerting systems for pipeline reliability,
• You take ownership of solutions end-to-end, from understanding business questions to deploying and validating data pipelines,
• You communicate clearly with both technical and non-technical stakeholders,
• You enjoy learning new domains and tackling complex data challenges such as rights management, content matching, and multi-territory licensing
What the job involves
• The Rights Systems team builds and operates Spotify Rights Center (SRC) — Spotify’s rights management platform that enables Spotify and its partners to identify, manage, and enforce music licensing rights across all the content available on the platform,
• Comparable in scope to YouTube’s Content ID, SRC is purpose-built for Spotify’s ecosystem and underpins the company’s strategy for video and emerging content types. Over the past year, the team has taken SRC from concept to a fully operational production platform, delivering automated content scanning, policy management, enforcement pipelines, appeals workflows, manual claims, and analytics capabilities,
• The team has grown from a single squad to three squads (~30 bandmates) and continues to scale as a strategic investment area for Spotify over the next several years,
• Build and maintain the data pipelines and analytics infrastructure that power Spotify’s rights management platform,
• Own batch and streaming pipelines that generate core datasets used by Spotify Rights Center, including processing content segments, joining rights metadata, and producing match data that drives the product,
• Develop and evolve analytics models that transform pipeline and service data into reporting for system reliability, rightsholder adoption, and business ROI,
• Partner closely with product managers, backend engineers, and insights teams to define metrics, build dashboards, and generate data that informs strategic decisions around platform expansion,
• Maintain data export pipelines connecting backend services and the data warehouse to ensure downstream consumers receive timely and accurate data,
• Implement strong data quality practices, including validation tests, alerts, and monitoring to ensure reliable pipeline outputs,
• Contribute to technical solutions that support licensing, financial engineering, and content platform stakeholders,
• Participate in product ideation with engineers, researchers, product managers, and domain experts across the team,
• Contribute to a collaborative engineering culture and support continuous learning through hack days, reading groups, and internal training