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.

Bard is a critical squad within Spotify’s Financial Engineering (FinE) Solutions area. We build and maintain the systems that ensure accurate, timely royalties and financial reporting for Audiobook and Lyrics licensors — supporting some of Spotify’s most strategically important creator-focused products. We’re a cross-functional, collaborative team of backend and data engineers working closely with Finance and the Audiobooks mission to deliver trustworthy, scalable systems.

What You'll Do

Design, build, and evolve scalable data pipelines and systems that ensure financial accuracy and integrity at scale.

Explore and apply Spotify’s Data and AI ecosystem to solve engineering problems and improve developer efficiency.

Partner closely with Finance and Audiobooks stakeholders to understand their needs and deliver financially impactful features.

Deep-dive into the Audiobooks royalties domain and support feature development across reporting and payout workflows.

Contribute to design discussions, architectural decisions, code reviews, and team-wide engineering practices.

Lead the delivery of small projects or workstreams within your first months on the team.

Continuously evaluate and improve the team’s tools, quality standards, and ways of working.

Who You Are

You know how to work with large-scale data ecosystems and are comfortable with SQL and distributed processing tools (e.g., Spark, Beam, Scio, or similar).

You are experienced with JVM-based or similar languages (e.g., Scala, Java, or other production-grade languages), and you learn new technologies quickly.

You have a deep understanding of data modeling, pipeline design, and how to build reliable systems in a fast-moving environment.

You care about using AI as a practical tool — from prompting to agentic workflows — to support engineering decision-making and accelerate delivery.

You enjoy collaborating closely with partners, guiding them through end-to-end solutions and ensuring clarity and shared understanding.

You have experience contributing to testing and quality practices using frameworks such as Cucumber or comparable tooling.

You care about continuously improving how the team works in a constructive way, calling to action and taking the lead on proposed ideas.

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.

Additional Information

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.

Data Engineer II

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