Backend Engineer - Data Platform

In the Data Processing Product Area, we build the platforms and tools that power how Spotify processes, manages, and consumes data at scale. Our work enables teams across Spotify to solve complex data challenges with confidence. We focus on improving efficiency, quality, and innovation—helping engineers and data practitioners move faster while maintaining reliability and cost awareness.

What You'll Do

• 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

Who You Are

• 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

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

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice

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