Data Engineer - Wrapped - Fixed Term

Spotify • Stockholm, NY

4d • Hybrid

About The Position

The Personalization team at Spotify is responsible for enhancing the user experience by making decisions about what content to play next more enjoyable. They are the creators behind popular features like Blend and Discover Weekly, leveraging their deep understanding of music and podcasts to serve millions of users. The Wrapped feature is a particularly iconic and beloved user experience, serving as a cultural moment that allows hundreds of millions of users to reconnect with their year's soundtrack. The Timeturners squad, within Spotify's Personalization Mission, provides the data infrastructure for Wrapped, building the datasets and systems that power personalized data stories for over 300 million users globally. As a Data Engineer on this team, you will collaborate with Data Scientists, engineers, music experts, and partner teams to transform listening behavior into meaningful, joyful, and highly personalized user experiences. Your work will involve evaluating new data story concepts and scaling pipelines that power AI-driven playlist experiences, ultimately shaping how millions of fans experience Wrapped each year. This is a fixed-term contract role scheduled from June through December 2026.

Requirements

• Experience of working in a product-driven engineering environment.
• Experience working with high-volume, heterogeneous datasets using distributed systems and big data technologies such as Python, Scala, Scio, Ray, Apache Spark, or similar frameworks.
• Proficient in designing and building distributed data pipelines in Python, Scala, or Java, including experience with frameworks such as Scio and platforms like Dataflow.
• Understanding of data modeling, data access, and storage techniques across both batch and analytical processing systems.
• Experience working with large-scale analytical systems such as BigQuery or similar technologies.
• Values iterative software development, data-driven decision making, reliability, responsible experimentation, and cost-efficient engineering practices.
• Thrives in collaborative environments and enjoys 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.

Responsibilities

• Design, build, and maintain distributed data pipelines that power Spotify Wrapped data stories and personalized experiences for more than 300M users globally.
• Partner with Data Scientists to evaluate and operationalize new Wrapped story concepts, balancing personalization, scalability, and eligibility requirements.
• Build scalable systems that process large-scale listening data and generate insights that celebrate users’ unique 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 the squad’s data systems.
• Support experimentation and iteration on new storytelling concepts beginning early in the product development cycle.
• Work cross-functionally with engineering, product, design, and music domain experts to bring large-scale personalized experiences to life.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed