# Data Processing Product Area Engineer

**Company**: Spotify
**Location**: London
**Work arrangement**: hybrid
**Experience**: mid
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.lever.co/spotify/db6450c7-5017-4aa5-8a64-52e39f1ed525
**Canonical**: https://yubhub.co/jobs/job_a5bf2d0f-61e

## Description

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.

## Responsibilities

- 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

## Requirements

- Experience building backend systems using Java

- Familiarity with platform engineering concepts and working in data-intensive environments

- Comfortable working with large-scale data using SQL and modern analytics platforms such as BigQuery

- Experience with distributed data processing frameworks such as Spark, Flink, Beam, or similar

- Experienced with cloud infrastructure, containerized applications, and DevOps practices

- Working knowledge of Kubernetes and its core concepts

- Experience building or maintaining data pipelines using Scala and/or Python

- Care about code quality, testing, and delivering reliable systems

- Enjoy working in collaborative environments and navigating open-ended problems

- Curious, experiment-driven, and motivated by using data to inform decisions

## Benefits

- Flexible working arrangements

- Opportunities for professional growth and development

- Collaborative and dynamic work environment

## What We Offer

- Competitive salary and benefits package

- Opportunity to work with a leading technology company

- Collaborative and dynamic work environment

## Skills

### Required
- Java
- platform engineering
- SQL
- BigQuery
- Spark
- Flink
- Beam
- Kubernetes
- Scala
- Python