Backend Engineer - Data Platform

Requirements

• 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

What You'll Be Doing

• 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

Nice to Haves

• 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

Perks and Benefits

• 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