Quant Data Engineer developing Oracle PL/SQL based solutions for risk analytics at Asset Management Technology. Collaborating with teams to optimize database performance and ensuring data quality.
About the role
- Engineer building and operating data systems for Spotify's marketing initiatives. Contributing to data pipelines and integrations supporting global campaigns like Wrapped.
Responsibilities
- build and operate data pipelines that power paid media attribution, audience targeting, and campaign measurement across global marketing platforms
- build and operate batch and real-time data pipelines on Google Cloud Platform that process billions of marketing and user events daily at global scale
- partner with marketing, analytics, and product teams to instrument data collection, translate requirements, and ensure data quality while operating within legal and regulatory constraints
- contribute to integrations with external marketing platforms, supporting reliable audience delivery and suppression workflows
- monitor and improve production systems, strengthening reliability, observability, and operational readiness
- work within a cross-functional, agile squad to build and own data systems end to end, partnering with marketing, analytics, and insights teams to create solutions aligned with business priorities
- collaborate with fellow engineers to design, build, and operate data systems, while contributing to shared standards, tooling, and continuous improvements in how the team works
Requirements
- solid experience building and maintaining production data pipelines and systems
- familiar with development and deployment within cloud environments (ideally GCP)
- fluent in SQL and at least one programming language (Python, Java, or Scala)
- experience using cloud data warehouses like BigQuery, Snowflake, or Redshift
- understand batch and streaming data processing, ETL/ELT patterns, and data modeling fundamentals
- care deeply about data quality, system reliability, and building systems downstream users can trust
- value strong engineering practices, including testing, monitoring, and maintainable code
- comfortable incorporating GenAI tools like Claude into your development workflow
- comfortable working in an agile, product-oriented environment and collaborating across engineering, product, analytics, and marketing
- pragmatic, hands-on, and able to balance delivery speed with long-term quality
- thrive in ambiguous and fast-changing environments, and know how to make progress even when requirements are evolving
- experience with marketing technology ecosystems (attribution platforms, CDPs, ad platforms) is a bonus.
Benefits
- health insurance
- six month paid parental leave
- 401(k) retirement plan
- monthly meal allowance
- 23 paid days off
- paid flexible holidays
- paid sick leave
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