Senior Data Engineer – Partner & Platform Experience

🕒 March 31

🏢🏡 London – Hybrid

⏰ Full Time

🟠 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

• Build and evolve high-impact data products e.g. pipeline and critical datasets that help teams understand user experience across platforms like desktop, TV, and partner integrations. • Contribute to the team's growing use of AI and agentic tooling to improve how we build and operate data systems. • Design and maintain scalable data pipelines and models that power analytics, experimentation, and data science. • Improve data systems by setting strong engineering standards for performance, quality, and reliability. • Develop tooling and automation to ensure accurate, efficient, and trustworthy data. • Work closely with data scientists, product managers, and engineers to solve complex problems and shape data-driven decisions. • Support and mentor other engineers through code reviews, design discussions, and knowledge sharing.

🎯 Requirements

• You have strong experience building and maintaining scalable data pipelines in production environments. • You are comfortable working with data modeling, transformation, testing, and defining metrics. • You have experience with SQL and programming languages such as Scala. • You’ve worked with modern data tooling (for example dbt or similar frameworks). • You understand cloud-based data platforms (ideally GCP) and the trade-offs between performance, cost, and scalability. • You care about data quality, governance, and building systems that are reliable and easy to maintain. • You're curious about the business and product reality behind the data - you want to understand why things are built, not just how. • You collaborate well with cross-functional partners and can explain technical concepts clearly. • You’re comfortable navigating ambiguity and finding practical solutions to open-ended problems. • You enjoy breadth and variety in your work and may have a background in engineering consulting, or similar.