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

Requirements

strong SQL skills and deep experience with data modeling and warehouse design
experience building and operating batch data pipelines at scale using tools such as Scio, Apache Beam, Spark, or similar frameworks
comfortable working with modern cloud data warehouses such as BigQuery, Snowflake, or similar technologies
experience with analytics engineering tools like dbt and understand layered data modeling approaches (staging, transformation, reporting)
worked with workflow orchestration platforms such as Flyte, Airflow, or similar systems
can write production-quality code in languages such as Scala, Python, or Java
understand data quality practices and have built monitoring and alerting systems for pipeline reliability
take ownership of solutions end-to-end, from understanding business questions to deploying and validating data pipelines
communicate clearly with both technical and non-technical stakeholders
enjoy learning new domains and tackling complex data challenges such as rights management, content matching, and multi-territory licensing

Benefits

health insurance
six-month paid parental leave
401(k) retirement plan
monthly meal allowance
23 paid days off
paid flexible holidays
paid sick leave

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLdata modelingwarehouse designbatch data pipelinesApache BeamSparkBigQuerySnowflakedbtScala

Soft Skills

communicationownershipcollaborationproblem-solvingadaptabilitycontinuous learningstrategic thinkingtechnical understandingstakeholder engagementdata quality practices