spotify - Data Engineer II - SRC - Music
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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 • ## Where You'll Be • We offer you the flexibility to work where you work best! For this role, you can be within the EMEA region as long as we have a work location (excluding France due to on-call restrictions). • This team operates within the Central European and GMT time zone for collaboration.
Responsibilities
• 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
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