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About the Role
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them. Wrapped is one of Spotify’s most iconic and beloved user experiences, a cultural moment that helps hundreds of millions of listeners reconnect with the soundtrack to their year. The Timeturners squad, part of Spotify’s Personalization Mission, powers the data behind Wrapped by building the datasets and systems that fuel personalized data stories for more than 300M users globally. As a Data Engineer on Timeturners, you’ll collaborate with Data Scientists, engineers, music experts, and partner teams to transform listening behavior into meaningful, joyful, and highly personalized user experiences. From evaluating new data story concepts to scaling pipelines that power AI-driven playlist experiences, you’ll help shape how millions of fans experience Wrapped every year. This is a fixed term contract role running from June through December 2026.
Responsibilities
- Design, build, and maintain distributed data pipelines for Spotify Wrapped data stories and personalized experiences for over 300M users globally.
- Partner with Data Scientists to evaluate and operationalize new Wrapped story concepts, balancing personalization, scalability, and eligibility.
- Build scalable systems to process large-scale listening data and generate insights for user listening journeys.
- Develop and optimize pipelines supporting AI-powered personalized playlist experiences and recommendation technologies.
- Collaborate with partner teams to integrate social and shared listening experiences into Wrapped and adjacent user experiences.
- Contribute to technical excellence by improving reliability, observability, performance, and development velocity across data systems.
- Support experimentation and iteration on new storytelling concepts early in the product development cycle.
- Work cross-functionally with engineering, product, design, and music domain experts to deliver large-scale personalized experiences.
Requirements
- Experience working in a product-driven engineering environment.
- Understand data modeling, data access, and storage techniques across batch and analytical processing systems.
- Value iterative software development, data-driven decision making, reliability, responsible experimentation, and cost-efficient engineering practices.
- Thrive in collaborative environments, working closely with cross-functional teams across engineering, data science, and product.
- Creative problem solver who enjoys building products that create meaningful experiences for millions of users.
- Excited by the challenge of turning research ideas and experimental concepts into reliable, scalable production systems.
Skills
- Python
- Scala
- Java
- Scio
- Ray
- Apache Spark
- Dataflow
- BigQuery
- Distributed systems
- Big data technologies
- High-volume, heterogeneous datasets
- Large-scale analytical systems
- Designing and building distributed data pipelines
Location
- United States (EST time zone)
- EMEA region
Work Type
- Fixed term contract
- June 2026 through December 2026
- Hybrid
About the Company
- Spotify's Personalization team makes deciding what to play next easier and more enjoyable for every listener.
- Behind Spotify’s most-loved features like Blend and Discover Weekly.
- Understands the world of music and podcasts better than anyone else.
- Timeturners squad, part of Spotify’s Personalization Mission, powers data behind Wrapped.
- Spotify Wrapped is an iconic and beloved user experience, a cultural moment for hundreds of millions of listeners.