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.
JOB DESCRIPTION
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.
WHAT YOU’LL DO
Build, maintain, and own data pipelines with Python, GCP, BigQuery, 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
WHO YOU ARE
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
WHAT SKILLS YOU NEED
Degree in Computer Science, Data/Software Engineering, or equivalent experience
Strong SQL skills, ideally with BigQuery or similar data warehouses
Python for data processing and ETL
Understanding of data warehousing concepts and structured/unstructured data
NICE TO HAVES
Experience or interest in the music or entertainment industry
Familiarity with Linux environments
Experience with GCP tools beyond BigQuery (e.g. Dataflow, Pub/Sub, Dataform)
Experience with Kubernetes or container orchestration