Senior Data Engineer

FUGA 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 Engineering team is looking for a 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 the value-added projects that directly support the business. You’ll play a key role in fostering a data-driven culture by delivering reliable data engineering solutions. At FUGA, data drives decisions, optimises operations, and delivers value.

WHAT YOU’LL DO

• Build and optimize data pipelines with GCP, BigQuery, Apache Beam, Airflow and Dataflow.
• Work on tasks like data cleaning and filtering to ensure robust pipelines.
• Work closely with engineers, product managers, and stakeholders to own tasks and drive team success.
• Develop components to interact with APIs, databases, cloud services, message brokers, filesystems and data processing infrastructure.
• Write clean, testable, and maintainable code that meets high-quality standards, and integrates with CI/CD pipelines.
• Maintain and improve current processes and pipelines.
• Share knowledge, mentor teammates, and drive continuous improvement in team practices.

WHO YOU ARE

• Solid experience as a Data Engineer, working with high-volume datasets, in GCP or AWS.
• Proficient in SQL, skilled at writing complex queries for insights and efficient data wangling.
• You know how to create clean, reliable datasets optimised for analytics and operational use.
• Strong Python expertise with skills in tools like Apache Beam or Dataflow.
• You know Docker and Airflow and are comfortable using them effectively in workflows.
• You’re confident in data modelling and organising data for efficient use and analysis.
• You take pride in delivering well-tested, maintainable solutions – Quality matters to you.
• Collaboration is your thing, you value feedback and thrive in team environments.
• You are familiar with software development lifecycle practices and version control (GitHub). 
• Have a high level of attention to detail, are self-driven, and able to work independently.
• You're a strong analytical thinker and excellent problem-solver.
• Own projects end-to-end: from requirements to implementation.

WHAT SKILLS YOU NEED

A successful applicant for this role will have:

• A degree in Computer Science, Data/Software Engineering, or equivalent experience.
• Strong knowledge of SQL querying, including experience with tools like Big Query.
• Strong Python skills including data integration experience in ETL environments.
• Skilled with Python libraries for data manipulation.
• Background working with very large datasets and data warehousing.
• Good skills in parsing, transforming and cleaning structured and unstructured data.
• Excellent communication skills for engaging with teams and stakeholders.

NICE TO HAVES

• Prior experience in the music industry is a big plus. 
• Software development experience with good linux skills.
• GCP Professional Data Engineer certification or similar.
• Experience with Java or Kotlin is preferable.
• Snowflake or Databricks Experience. 
• Experience with container orchestration using Kubernetes.