Who you are

• We are looking for engineers who are excited to shape the future of financial data at Spotify. You will design and operate scalable pipelines that process billions of records
• If you thrive on building foundations that have broad, lasting impact, and want to work where financial data truly drives strategy, we’d love to work with you
• Experienced with Data Processing Frameworks: Skilled with higher-level JVM-based frameworks such as Flink, Beam, Dataflow, or Spark
• Comfortable with Ambiguity: Able to work through loosely defined problems and thrive in autonomous team environments
• Skilled in Cloud-based Environments: Proficient with large-scale data processing in cloud environments, preferably with experience in Google Cloud Platform
• Strong Analytical Skills: Adept at breaking down complex problems and communicating insights effectively
• Knowledgeable About Data Modeling: You treat data as a product, with strong data modeling capabilities
• Passionate About Clean Code: Committed to writing high-quality, maintainable code and building robust data pipelines
• Curious and Inquisitive: You have a deep curiosity about data and systems, always seeking to understand and improve them
• Skilled in large-scale data processing: Comfortable working with SQL and platforms like BigQuery
• Excellent Collaborator: You value positive relationships across technical and business domains

What the job involves

• As engineers in the Financial Data Platform team, we turn messy, fragmented realities into clean, reusable foundations. 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. We collaborate deeply with Finance, Product, and Data teams to unlock clarity and drive Spotify’s ambitions forward
• You will apply product thinking to financial data — managing the full lifecycle from sourcing to documentation to exposure. You will define abstractions that simplify complexity and create intuitive paths for our consumers. Together, we advocate for standards, champion quality, and build systems that others can rely on with confidence
• Acquire a comprehensive understanding of how financial data supports diverse consumer needs, from Finance to broader business customers
• Build core datasets and financial abstractions that serve as sources of truth for strategic and operational decision-making
• Design, prototype, and build scalable data pipelines that process billions of data points reliably
• Apply product thinking to data: manage the full data product lifecycle from sourcing to documentation and exposition, always prioritizing consumer needs and success
• Advocate for and implement effective data quality, engineering standards, and reusability
• Collaborate closely with engineers, data scientists, finance collaborators, and business teams to build flexible, intuitive data products
• Define data models and abstractions that simplify access to complex financial domains like Premium, Ads, and Royalties
• Contribute to building tools and libraries that enable other teams to build financial data products at scale
• Leverage mentorship and constructive feedback to foster accountability, growth, and collaboration within the team

Benefits

• Extensive learning opportunities, through our dedicated team, GreenHouse
• Flexible share incentives letting you choose how you share in our success
• Global parental leave, six months off - fully paid - for all new parents
• All The Feels, our employee assistance program and self-care hub
• Flexible public holidays, swap days off according to your values and beliefs