Senior Data Engineer

FUGA is a subsidiary of Downtown Music Holdings and provides forward-thinking music distribution, technology, and marketing services to forward-thinking music companies. Working at the heart of the music industry with more than 800 clients, including Riot Games, Epitaph, Naxos, and Beggars Group, FUGA is the world’s leading full-service B2B music distributor.

FUGA works at the forefront of music distribution technology, connecting its clients with digital service providers like Spotify, Apple Music, and Amazon Music while helping them get the most from their music, whether that’s with award-nominated label services, industry-leading revenue accounting, or using FUGA’s suite of best-in-class products.

FUGA’s Data Platform team is looking for a passionate, dedicated and motivated individual to work in our Amsterdam headquarters. In this role, you’ll work with large-scale music streaming analytics data and contribute to value-added projects that directly support the business.

The Data Platform team plays a pivotal role in FUGA’s data domain, managing and maintaining the DWH, building and maintaining critical data pipelines, and enabling all departments to make reliable, data-driven decisions.

You’ll play a key role in fostering a data-driven culture by delivering reliable, scalable data engineering solutions. At FUGA, data drives decisions, optimises operations, and delivers value.

• Build, maintain, and own data pipelines with Python, GCP, Big Query, Airflow, dbt, and Spark
• Design and improve scalable data models for analytics and reporting
• Ensure data quality through cleaning, validation, and transformation
• Monitor and improve pipelines for reliability, performance, and cost efficiency
• Develop components to interact with APIs, databases, and cloud services
• Collaborate with engineers, product managers, and stakeholders to deliver data solutions aligned with business goals
• Write clean, testable code integrated with CI/CD pipelines
• Take ownership of critical data workflows and platform improvements
• Contribute to knowledge-sharing and best practices

• Solid experience as a Senior Data Engineer working in GCP or AWS
• Strong experience building and maintaining production data pipelines
• Comfortable with SQL for large-scale data processing
• Confident with Python for ETL and data workflows
• Solid understanding of data modelling for analytics use cases
• Experience with Airflow and containerisation using Docker
• Experience with Spark (PySpark) for large-scale data processing
• You take ownership of your work and care about quality, reliability, and performance
• You write clean, maintainable code and pay attention to detail
• You collaborate effectively and contribute to a strong engineering culture
• You are proactive, curious, and continuously improving
• You see the benefit of documentation and proactively document systems, pipelines, and decisions

• Degree in Computer Science, Data/Software Engineering, or equivalent experience
• Strong SQL skills, ideally with Big Query or similar data warehouses
• Python for data processing and ETL
• Understanding of data warehousing concepts and structured/unstructured data

• Experience or interest in the music or entertainment industry
• Familiarity with Linux environments
• Experience with GCP tools beyond Big Query (e.g. Dataflow, Pub/Sub, Dataform)
• Experience with Kubernetes or container orchestration