Senior Data Engineer - Data Platform
Key Skills for This Role
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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
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
About Spotify
Spotify is a digital music, podcast, and video streaming service that gives users access to millions of songs and other content from creators worldwide.
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