Senior Data Engineer - Data Platform

The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe.

The Data Platform team develops and maintains the infrastructure supporting Spotify's data ecosystem. Within Data Platform, the Data Collection product area builds infrastructure for collecting and consuming data at scale, focused on making user behaviour data seamless and reliable for data teams across Spotify.

What You'll Do

• Collaborate with product and engineering teams to build and support critical data infrastructure and datasets
• Build systems that collect and process user behaviour data at scale
• Help power Spotify's personalization and recommendation systems, as well as the tools teams use to build and test new features
• Design and evolve data architectures that support high data volumes and a broad range of internal users
• Improve the reliability, scalability, and usability of our data infrastructure
• Work across disciplines to solve complex data challenges and make an impact across Spotify

Who You Are

• You are an experienced Data Engineer, and proficient in backend development using Java
• You are comfortable working with large-scale datasets using SQL and platforms such as BigQuery
• You have experience with JVM-based data processing frameworks such as Flink, Beam, Dataflow, or Spark
• You are familiar with DevOps practices, cloud infrastructure, containerized applications, and Kubernetes fundamentals
• You have experience with data modeling and schema design
• You care about high-quality code and engineering practices such as continuous delivery and automated testing
• You value experimentation, iterative development, and collaborative software development practices
• You are comfortable navigating ambiguity and open-ended problems, using data and sound judgment to make decisions

Where You'll Be

• This role is based in London with hybrid flexibility
• There will be some in-person meetings, but still allows for flexibility to work from home