Junior Data Engineer - Revenue Platform

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At Spotify, we're building the revenue platform that drives how revenue and taxes are processed across the company — enabling reliable, scalable financial operations across every market, product line, and partner. Our systems are essential to Spotify’s ability to earn, track, and report revenue and taxes, supporting everything from subscriptions and advertising to creator payouts. Engineers on this team design and maintain the backend and data platform capabilities that power millions of transactions daily, including tax calculations, compliant financial records, and regulatory support across global markets. We provide Finance with configurable tools to govern revenue and tax application across products, enabling rapid adjustments without deep technical involvement. Our modular components simplify the development, maintenance, and scaling of the Order to Cash processes that underpin Spotify's financial operations.

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• Gain deep expertise in Spotify’s revenue platform, understanding how it enables financial operations, compliance, and strategic decision-making.
  
• Design and implement scalable backend and data systems that process millions of transactions daily — supporting accurate tax calculation, billing, revenue recognition, financial configuration, and tax reporting.
  
• Build intuitive, self-serve tools that empower Finance teams to define and manage product-specific revenue and tax configuration independently, without requiring engineering involvement.
  
• Develop and enhance modular platform capabilities that encode critical enterprise workflows, promoting consistency, reusability, and ease of maintenance across financial systems.
  
• Lead the creation of new platform capabilities within the Tax Solutions space, focusing on Tax Reporting and global regulatory compliance.
  
• Partner closely with Engineers, Product and Finance stakeholders to design systems that are scalable, auditable, and highly reliable.
  
• Champion engineering best practices, strong architectural design, and operational excellence across backend and data platforms.
  
• Foster a collaborative team culture rooted in shared ownership, constructive feedback, and continuous improvement.
  

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• 1+ years of experience in data engineering, including building and maintaining data pipelines.
  
• Foundational understanding of system design, data structures, and algorithms, with a strong desire to learn quickly and improve technically.
  
• Familiarity with cloud-native development and deployment, ideally within the Google Cloud Platform.
  
• Ability to think critically about system design and build solutions that are reliable, maintainable, and auditable at scale.
  
• Good communication skills and the ability to articulate ideas and ask clarifying questions.
  
• Enjoy collaborating with others and thrive in ambiguous, fast-changing environments.
  
• Empathetic approach to users, prioritizing usability, configurability, and long-term sustainability in platform engineering.
  
• Care for code quality, testing, and documentation; aim to build understandable and operable systems.
  
• Experience collaborating across functions with engineering, finance, and product partners.
  
• Curious, self-motivated, and continuously looking for ways to grow technical skills and improve processes.
  

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• This role is based in London, United Kingdom.
  
• Flexibility to work remotely with some in-person meetings.
  

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• Seniority level: Entry level
  
• Employment type: Full-time
  

Spotify is an equal opportunity employer. We welcome diverse backgrounds and insights and are committed to accessibility in our recruitment process. If you need accommodations at any stage, please let us know. All are encouraged to apply regardless of background or identity.

Spotify transformed music listening since 2008. Our mission is to unlock the potential of human creativity by giving artists the opportunity to live off their art and fans the chance to enjoy and be passionate about these creators. We are the world's most popular audio streaming subscription service.