Data Engineer – Revenue Platform

🕒 November 17, 2025

🏢🏡 London – Hybrid

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Spotify

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2008

📱 Media

👥 B2C

🛍️ eCommerce

Media • B2C • eCommerce

Spotify is a global audio streaming service company that offers its users access to a vast library of music and podcasts. Known for its focus on delivering personalized listening experiences, Spotify employs data scientists, engineers, and client partners across various global locations to continuously innovate and enhance its offerings. The company fosters a strong culture of diversity, equity, and impact, emphasizing belonging and inclusion in its workforce. Spotify is not only committed to shaping the future of audio entertainment but also to making a positive societal impact, with initiatives focused on social and environmental issues.

📋 Description

• 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.

🎯 Requirements

• You have experience in data engineering, including building and maintaining data pipelines. • You are proficient in Python and ideally Scala or 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 love collaborating with others. • 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 - prioritising 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 enjoy collaborating across functions and bring clarity and alignment when working with engineering, finance, and product partners. • You’re naturally curious, self-motivated, and always looking for ways to grow your technical skills and improve how things are done.

🏖️ Benefits

• Flexible work arrangements • Professional development