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We are looking for a mid level Data Engineer to join Spotify’s Finance Engineering organization. The Crunch squad builds and operates data systems that power financial forecasting, performance analysis, and insights tooling across Spotify. The team owns key parts of forecast production, including statistical and machine learning models, data pipelines, measurement tooling, infrastructure, and integrations across forecasting systems. This is an engineering-first role with high expectations for data quality, reliability, and long-term maintainability.
Job Responsibility:
Work with modern data processing frameworks, platforms, and tooling (Python, Scala, Java, Scio, Flyte, Styx, DBT, etc. on GCP) to build, operate and own reliable data pipelines and systems that support financial forecasting and performance analysis
Take ownership of existing financial and forecasting datasets, evolving schemas and data models to support new features and analytical use cases while protecting downstream consumers
Partner closely with engineers, product managers, and finance stakeholders to translate forecasting, planning, and variance analysis needs into well-designed solutions
Help improve automated financial controls to ensure data quality and compliance across our systems while continuously evaluating performance
Work in cross-functional, agile teams with end-to-end responsibility for the evolution and operation of long-lived data products
Requirements:
3+ years of experience in building production-quality data solutions with complex business domain logic
3+ years of experience using SQL and Python and are comfortable using data to troubleshoot issues and support business decision-making
Experience owning data pipelines and datasets end to end, with accountability for maintainability, reliability, and safe evolution over time
A self-motivated contributor who can prioritize and deliver on projects while communicating effectively in a changing environment
Care deeply about data quality and have implemented monitoring, validation, and reliability best practices in real systems
Experience working cross-functionally with engineers, product managers, and non-technical stakeholders
Value strong engineering practices, including testing, observability, and operational responsibility
Nice to have:
Forecasting or Financial experience
What we offer:
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 - 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