Software Engineer – Financial Engineering

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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, 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. • Contribute to engineering best practices through continuous delivery, automated testing, monitoring, and thoughtful code reviews. • Help drive technical decisions that improve the long-term maintainability of Spotify's financial engineering platform.

🎯 Requirements

• 3+ years of professional experience building backend systems and data-intensive applications • experienced with Scala or Java and at least one distributed data processing framework such as Scio, Apache Beam, Spark, or Flink • know how to design and build reliable backend services and scalable data pipelines that support business-critical workflows • experience designing data models that enable accurate, high-volume financial processes • experience working with workflow orchestration platforms such as Flyte, Airflow, or similar technologies • care deeply about engineering fundamentals, including continuous delivery, automated testing, monitoring, and writing production-quality code • enjoy collaborating with cross-functional partners and translating complex business requirements into elegant technical solutions • experience working within financial, accounting, or other regulated data domains is a plus • a Bachelor's degree or higher in Computer Science or a related field is a plus

🏖️ Benefits

• extended health and dental coverage • retirement savings plans • monthly meal allowance • 23 paid days off • 13 paid flexible holidays