Data Engineer II

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.