Financial Engineering builds the platforms and tools that power Finance and enable strategic decisions across Spotify. Within this group, the Financial Data Platform team turns messy, fragmented realities into clean, reusable foundations. We partner closely with Finance, Product, and Data teams to shape the financial datasets and abstractions that unlock clarity, trust, and scale across the company. We build core datasets that represent key financial domains like Premium, Ads, and Royalties. We create libraries and tools that empower others to produce and trust financial data at scale.
What You\’ll Do
Build core financial datasets and abstractions that serve as sources of truth for business-critical decisions.
Design, prototype, and operate scalable data pipelines that process billions of records reliably.
Apply product thinking to the full data lifecycle – from sourcing to documentation to exposure, with a strong focus on meeting consumer needs.
Define models and abstractions that simplify complex domains such as Premium, Ads, and Royalties.
Drive strong engineering and data quality standards that improve trust, reusability, and maintainability.
Collaborate with engineers, data scientists, finance partners, and business stakeholders to design intuitive data products.
Contribute to tools and libraries that help other teams build high-quality financial data products at scale.
Engage in mentorship and feedback practices that build accountability, inclusion, and growth across the team.
Who You Are
You are comfortable working with Python, Java, or Scala and use them to build reliable, maintainable data pipelines.
You know how to work with higher-level JVM-based processing frameworks such as Flink, Beam, Dataflow, or Spark.
You are comfortable navigating ambiguity and moving forward when problem spaces are loosely defined.
You are experienced in large-scale cloud-based data processing, ideally in Google Cloud Platform.
You have strong analytical skills and communicate insights clearly across technical and non-technical audiences.
You care about thoughtful data modeling and treat data as a long-lived product.
You have a passion for clean, maintainable code and robust pipeline design.
You are curious about systems and data, and you continually look for opportunities to improve them.
You are skilled in SQL and familiar with large-scale platforms such as BigQuery.
You value collaboration and build positive relationships across technical and business domains.
Where You\’ll Be
This role is based in London.
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.
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