As a Data Engineer on the music rights team, you'll design and manage data systems that support the accurate tracking and management of music rights across a global platform. Your work will directly enable transparency and efficiency in how rights data is processed, matched, and reported across services.
What You’ll Do
- Develop and maintain scalable batch and streaming data pipelines that power core functionality in the rights management platform
- Process content segments, integrate rights metadata, and generate match data that drives product decisions
- Design and refine analytics models to measure system performance, rightsholder engagement, and business impact
- Collaborate with product, engineering, and insights teams to define key metrics and deliver actionable data
- Ensure reliable data exports between backend systems and the data warehouse for downstream use
- Implement data validation, monitoring, and alerting to uphold high standards of data integrity
- Support stakeholders in licensing, finance, and content by delivering robust technical solutions
- Engage in product development discussions with engineers, researchers, and domain experts
- Help foster a culture of learning through initiatives like hack days and internal knowledge sharing
What We’re Looking For
- Strong proficiency in SQL and data modeling, with experience in cloud data warehouse design
- Hands-on experience with large-scale data pipeline frameworks such as Spark, Apache Beam, or Scio
- Familiarity with cloud data platforms like BigQuery or Snowflake
- Experience using dbt for analytics engineering and layered data transformations
- Working knowledge of orchestration tools including Airflow or Flyte
- Ability to write and maintain production code in Python, Scala, or Java
- Proven track record in implementing data quality checks and pipeline monitoring
- End-to-end ownership of data solutions, from requirements to deployment and validation
- Clear communication skills across technical and non-technical audiences
- Curiosity for complex domains like content rights, licensing, and multi-region data systems
Environment & Culture
This role operates in a hybrid model with team presences in London and Stockholm. While you have flexibility in where you work, some in-person collaboration is expected. The team values shared learning, technical excellence, and cross-functional ideation. Tools used include Scio, Spark, BigQuery, dbt, Flyte, and Airflow, with coding primarily in Scala, Python, and Java.
