Data Engineer - Revenue Platform

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.As engineers on this team, we design and maintain the backend and data platform capabilities that power millions of transactions each day with precision. We build services that handle tax calculations, produce compliant financial records, and support regulatory requirements across global markets — all while staying agile to keep up with Spotify’s evolving business models. We equip Finance teams with flexible, configurable tools that govern how revenue and taxes are applied across products, enabling rapid adjustments without needing deep technical expertise. Our modular, process-oriented components simplify the development, maintenance, and scaling of the critical Order to Cash enterprise process that underpin Spotify’s financial operations.

What You'll Do

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 encodes 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.

Who You Are

You demonstrate a clear interest in developing a T-shaped engineering skill set — aiming to build deep expertise in either data or backend engineering, while growing the ability to work effectively across both. Experience with processing large-scale transactional and financial data, using batch/streaming frameworks like Spark, Flink, or Beam (with Scala for data engineering), and building scalable backend systems in Java. You possess a foundational understanding of system design, data structures, and algorithms, coupled with a strong desire to learn quickly, embrace feedback, and continuously improve your technical skills. You’re familiar with cloud-native development and deployment, ideally within the Google Cloud Platform. You think critically about system design and strive to build solutions that are reliable, maintainable, and auditable at scale. You have good communication skills and can articulate your ideas and ask clarifying questions. You thrive in ambiguous and fast-changing environments, and know how to make progress even when requirements are evolving. You approach platform engineering with empathy for your users — prioritizing usability, configurability, and long-term sustainability. You care deeply about code quality, testing, and documentation, and you aim to build systems that are easy to understand and operate. You love collaborating across functions and bring clarity and alignment when working with engineering, finance, and product partners.

Where You'll Be

This role is based in London, United Kingdom 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.