Data Engineer II

What You'll Do

• 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

Who You Are

• 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