Data engineer (music ecosystem) - contractor

Job Description

Data Engineer (Music Ecosystem) Remote

This is a unique opportunity to work at the intersection of data engineering and the music industry, shaping how complex, multi-source data is transformed into meaningful, real-time insight. You will play a central role in building scalable data infrastructure that supports decisions across commercial, creative, and operational teams.

The Company They are a data-driven organisation operating across multiple areas of the music ecosystem, including artist management, record label operations, and production. Their approach combines commercial insight with technical innovation to better understand and optimise artist performance and catalogue value. Working across a diverse portfolio, they rely on robust, well-structured data to power decision-making. This is a collaborative environment where data plays a key role in driving growth and efficiency.

The Role and Deliverables

• Design, build, and maintain scalable ETL and ELT pipelines that ingest data from streaming platforms, social media networks, and ticketing systems
• Integrate data across label, management, and external tracking sources to create a unified view of artist and catalogue performance
• Develop and optimise data models, including those supporting producer division metrics such as royalties, financial forecasts, and cost tracking
• Enhance and manage the central data warehouse to ensure efficient schema design and accessibility across teams
• Deliver the backend infrastructure for real-time dashboards, enabling seamless data flow for end users
• Implement and uphold data governance, privacy, and compliance standards, including secure handling of personally identifiable information

Your Skills & Experience

• Strong experience working within the music industry, with a practical understanding of its data landscape and challenges
• Advanced proficiency in Python for data engineering and strong SQL skills for data modelling and analysis
• Experience building and orchestrating data pipelines using tools such as Airflow or dbt within cloud-based environments
• Expertise in developing clear, user-friendly dashboards using tools such as Tableau or Looker Studio
• Deep understanding of music metadata, streaming analytics, and multi-platform reporting
• Strong knowledge of data privacy regulations and best practice in secure data management

How to Apply If you are looking to apply your data engineering expertise within a complex and evolving music ecosystem, please apply to learn more about this opportunity.