Backend Engineer - Data Platform

Collaborate with product and engineering teams to build and operate infrastructure that enables reliable, scalable data processing

Design and develop tools that improve developer productivity and reduce the overhead of working with data pipelines

Contribute to platform reliability, performance, and cost efficiency across large-scale data systems

Partner with data experts and squads across Spotify to evolve best practices, standards, and tooling

Support the adoption and migration of data pipelines onto new platform capabilities

Help shape the future of Spotify’s data ecosystem through continuous improvement and experimentation

You have experience building backend systems using Java

You are familiar with platform engineering concepts and working in data-intensive environments

You are comfortable working with large-scale data using SQL and modern analytics platforms such as BigQuery

You have experience with distributed data processing frameworks such as Spark, Flink, Beam, or similar

You are experienced with cloud infrastructure, containerized applications, and DevOps practices

You have working knowledge of Kubernetes and its core concepts

You have experience building or maintaining data pipelines using Scala and/or Python

You care about code quality, testing, and delivering reliable systems

You enjoy working in collaborative environments and navigating open-ended problems

You are curious, experiment-driven, and motivated by using data to inform decisions

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