Spotify

Backend Engineer - Data Platform

Posted 6 Days Ago

Be an Early Applicant

Hybrid

London, Greater London, England

Mid level

Hybrid

London, Greater London, England

Mid level

As a Backend Engineer in the Data Platform, you'll design and build scalable data processing infrastructure, improve developer tools, and enhance system reliability and performance while collaborating with various teams at Spotify.

The summary above was generated by AI

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.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

Top Skills

Beam

BigQuery

Cloud Infrastructure

Containerized Applications

Flink

Java

Kubernetes

Python

Scala

Spark

SQL

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