Job Description
We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.
You’ll join a team at the heart of how Spotify shows up across devices and platforms. From desktop and TV to gaming consoles and a wide range of partner integrations, we build the experiences that make Spotify available wherever listeners are.
Within this space, our Data Engineering team creates the data foundations that power product insights, experimentation, and decision-making. We build reliable datasets and tools that help teams understand how users experience Spotify and how we can make it even better.
What You’ll Do
Build and evolve high-impact data products e.g. pipeline and critical datasets that help teams understand user experience across platforms like desktop, TV, and partner integrations.
Contribute to the team’s growing use of AI and agentic tooling to improve how we build and operate data systems.
Design and maintain scalable data pipelines and models that power analytics, experimentation, and data science.
Improve data systems by setting strong engineering standards for performance, quality, and reliability.
Develop tooling and automation to ensure accurate, efficient, and trustworthy data.
Support and mentor other engineers through code reviews, design discussions and knowledge sharing.
Work closely with data scientists, product managers, and engineers to solve complex problems and shape data-driven decisions.
Who You Are
You have strong experience building and maintaining scalable data pipelines in production environments.
You are comfortable working with data modeling, transformation, testing, and defining metrics.
You have experience with SQL and programming languages such as Scala.
You’ve worked with modern data tooling (for example dbt or similar frameworks).
You understand cloud-based data platforms (ideally GCP) and the trade-offs between performance, cost, and scalability.
You care about data quality, governance, and building systems that are reliable and easy to maintain.
You’re curious about the business and product reality behind the data - you want to understand why things are built, not just how.
You collaborate well with cross-functional partners and can explain technical concepts clearly.
You’re comfortable navigating ambiguity and finding practical solutions to open-ended problems.
You enjoy breadth and variety in your work and may have a background in engineering consulting, or similar.
Where You’ll Be
This role is based in London or Stockholm.
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.
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
