Senior Backend Engineer at FUGA
Amsterdam, Noord-Holland, Netherlands -
Full Time


Start Date

Immediate

Expiry Date

06 Aug, 25

Salary

0.0

Posted On

19 May, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

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, Hospital Records, Epitaph, and Beggars team, 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 Streaming Platforms 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 & Analytics 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.
The team is responsible for the daily retrieval, processing, analysis and publishing of insights on large volumes of music performance data coming from several popular Digital Streaming Platforms. The team manages large Google BigQuery datasets and has an overall data footprint of over half a PetaByte. All services are containerized and hosted in either a local Data Center or in Google Cloud.

Responsibilities
  • Create, deploy and improve high performance back-end services in Java and Kotlin
  • Develop components to interact with APIs, databases, cloud services, message brokers, filesystems and data processing infrastructure
  • Leverage a wide range of Cloud and SaaS resources and functionality
  • Maintain, improve and evolve the processes, pipelines and infrastructure to scale with the growing data volumes
  • Perform analysis on data and optimisation of software and running processes
  • Work closely with engineers, product managers, and stakeholders to own tasks and drive team success
  • Share knowledge, mentor teammates, and drive continuous improvement in team practices
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