Data Engineer II
Spotify
full-time
Posted on:
Location Type: Remote
Location: United Kingdom
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About the role
- 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.
Requirements
- 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.
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLdata modelingpipeline designdistributed processingSparkBeamScioScalaJavatesting frameworks
Soft Skills
collaborationguiding partnersclarityshared understandingleadershipcontinuous improvementconstructive feedbackengineering decision-makingproblem-solvingcommunication