We are currently working with a leading, private equity-backed music rights investor that is seeking a Data Engineer to join their growing team. The data team builds, owns, and maintains proprietary data assets that support the full data lifecycle — from raw data ingestion to financial reporting and new deal pipelines. The team plays a critical role across the business. Responsibilities: Develop, maintain, and optimise robust ETL/ELT pipelines in Python Collaborate with data teams to translate business requirements into scalable data solutions Work cross-functionally to support analytics, reporting, and product development Write clean, maintainable, and testable code with a strong emphasis on clarity and structure Contribute ideas and insights to help evolve the client’s data platform for scale and efficiency To be successful in this role, you will have: A minimum of 2 years' of relevant experience Proficiency in Python Experience building ETL/ELT pipelines and ability to write clean, logical code. A strong foundation in software engineering and data workflows A proactive, curious mindset A degree in Computer Science or a related field Please reach out if you are interested in a confidential discussion.