Personalization Data Pipeline Developer

9 hours ago


Stockholm, Stockholm, Sweden Spotify Full time

Spotify's Personalization team is at the forefront of developing recommendation systems that power personalized content across music, podcasts, and audiobooks. As a Data Engineer, you'll play a key role in building and maintaining these systems, which have a significant impact on user experience.

About the Role

This position involves designing, implementing, and deploying large-scale data pipelines using various frameworks and tools. You'll work closely with cross-functional teams to ensure seamless integration and high-quality results.

Key Responsibilities
  • Develop and operate Java services that impact millions of users, focusing on scalability, maintainability, and testability.
  • Contribute to machine learning projects that power personalized recommendations, working closely with data scientists and engineers.
  • Collaborate with stakeholders to drive business impact and growth, using data-driven approaches.
  • Design and implement scalable data architectures using cloud-based platforms and technologies.
Requirements
  • Experience with Scala, JVM-based data processing frameworks, and DevOps practices.
  • Strong understanding of machine learning principles and quality engineering.
  • Familiarity with containerization using Docker and orchestration using Kubernetes.
  • Able to work in an agile environment and collaborate effectively within teams.


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