Software Engineer - Financial Engineering

The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers. Spotify's Financial Engineering (FinE) organization ensures that as Spotify grows, our financial systems grow with it. We build the infrastructure and tooling that finance teams across the company depend on to track revenue accurately, report reliably, and reconcile at scale. The Oracles team sits at the heart of Spotify's financial infrastructure, building the data pipelines and backend services that power our subledger and accounting lifecycle. As part of a broader Financial Engineering initiative, we're standardizing and scaling how accounting data flows across Spotify. You'll partner with engineers, finance teams, and product managers to build reliable, scalable systems that simplify complex financial processes. We're looking for a Software Engineer who enjoys building reliable, data-intensive systems. You'll help shape the future of Spotify's financial data platform by designing robust data models, developing scalable backend services, and building high-volume data pipelines that power critical financial workflows.

What You'll Do:

• Build, operate, and evolve scalable Scio data pipelines on Google Cloud Platform that process high-volume financial data with accuracy and reliability.

• Develop and enhance Java backend services that power integrations across Spotify's financial ecosystem.

• Design and evolve data models and datasets that support accounting, reconciliation, financial reporting, and operational insights.

• Build and improve integrations with external financial systems to bring critical financial data into Spotify's financial ecosystem.

• Partner closely with Finance, Product, and Engineering teams to translate accounting requirements into reliable, scalable technical solutions.

• Improve the scalability, observability, and resilience of financial data pipelines and backend services.