---
title: 'Senior Data Engineer - Data Platform at Spotify'
canonical: 'https://feeny.ai/job/senior-data-engineer-data-platform-spotify-london-ds337mwhar8j'
type: 'job'
last_seen: '2026-09-07'
---

# Senior Data Engineer - Data Platform at Spotify

- **Company:** Spotify
- **Location:** London, United Kingdom
- **Work type:** hybrid
- **Posted:** 2026-08-12
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.lever.co/spotify/204f6cd7-98a3-4360-87e3-8876adf087da

## Job description

The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers. The Data Platform team develops and maintains the infrastructure that supports Spotify’s data ecosystem. Within Data Platform, the Data Collection product area builds infrastructure that makes it easier to collect and consume data at scale. You’ll join a team focused on making user behaviour data seamless and reliable for data teams across Spotify.

## What You'll Do

- Collaborate with product and engineering teams to build and support critical data infrastructure and datasets.
- Build systems that collect and process user behaviour data at scale.
- Help power Spotify’s personalization and recommendation systems, as well as the tools teams use to build and test new features.
- Design and evolve data architectures that support high data volumes and a broad range of internal users.
- Improve the reliability, scalability, and usability of our data infrastructure.
- Work across disciplines to solve complex data challenges and make an impact across Spotify.

## Who You Are

- You are an experienced Data Engineer, and proficient in backend development using Java.
- You are comfortable working with large-scale datasets using SQL and platforms such as BigQuery.
- You have experience with JVM-based data processing frameworks such as Flink, Beam, Dataflow, or Spark.
- You are familiar with DevOps practices, cloud infrastructure, containerized applications, and Kubernetes fundamentals.
- You have experience with data modeling and schema design.
- You care about high-quality code and engineering practices such as continuous delivery and automated testing.
- You value experimentation, iterative development, and collaborative software development practices.
- You are comfortable navigating ambiguity and open-ended problems, using data and sound judgment to make 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.

## About Spotify

## Company Overview
- **One-liner**: Spotify is the world's most popular audio streaming subscription service, connecting users to over 100 million tracks, 7 million podcast titles, and 700,000 audiobooks across 184 markets.
- **Entity Type**: Public (NYSE: SPOT)
- **Headquarters**: Stockholm, Sweden
- **Founded**: 2006
- **Founders**: Daniel Ek and Martin Lorentzon

## Core Business
- Primary industry: Audio streaming and digital media
- Target customers: B2C (consumers via Free and Premium tiers) and B2B (advertisers, artists, and labels through Spotify Advertising and Spotify for Artists)
- Mission: "To deliver creativity to the world—one note, one voice, one idea at a time."

## Products & Services
- **Spotify Free**: Ad-supported streaming of music, podcasts, and audiobooks
- **Spotify Premium**: Subscription tier with offline mode, improved sound quality, and ad-free listening
- **Spotify for Artists**: Analytics, promotion, and monetization tools for creators
- **Spotify Advertising**: Programmatic and self-serve ad platform for brands
- **Audiobooks**: Catalog of 700,000+ audiobook titles (market entry in 2022)

## Market Standing
- **Valuation/Market Cap**: Not disclosed in available sources; stock price reported at USD 391.23 (as of 2024-10-29)
- **Key Metric**: Annual Revenue EUR 17.2B; 777 million monthly users including 300 million subscribers (per Spotify Newsroom). Note: LinkedIn company data lists 365M users/165M subscribers — conflicting reports, likely reflecting an older snapshot.
- **Notable Investors/Partners**: Series A of USD 21.6M with 5 investors (2008); debt financing of USD 1.0B (2016); convertible notes in 2016 and 2021. Key acquisitions include Sonantic (2022), Mediachain (2017), and Tunigo (2013).
- **Growth Signals**: Headcount grew +14.2% YoY to 8,921 employees; 9 offices across 4 countries; expansion into audiobooks; 300M+ paying subscribers.

## Competitive Advantages
- Scale: largest audio streaming subscriber base globally
- Data and AI personalization: mature recommendation engines and AI-driven discovery
- Multi-format audio ecosystem: music, podcasts, and audiobooks in a single app
- Strong brand recognition and deep creator relationships

## Strategic Focus
- AI-powered personalization and generative audio tools
- Audiobook market expansion
- Podcast ecosystem growth
- Creator monetization and artist tools

## Why Work Here
- Employer rating 4.0/5.0 from 2,155 reviews (Work-Life: 4.2, Compensation: 3.9, Culture: 4.0, Career: 3.5)
- **Work

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