Spotify

Senior Data Engineer – Financial Data Platform

Spotify

full-time

Posted on:

Location Type: Hybrid

Location: London • United Kingdom

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Job Level

Senior

Tech Stack

BigQueryCloudGoogle Cloud PlatformJavaPythonScalaSparkSQL

About the role

  • Build core financial datasets and abstractions that serve as sources of truth for business-critical decisions.
  • Design, prototype, and operate scalable data pipelines that process billions of records reliably.
  • Apply product thinking to the full data lifecycle - from sourcing to documentation to exposure, with a strong focus on meeting consumer needs.
  • Define models and abstractions that simplify complex domains such as Premium, Ads, and Royalties.
  • Drive strong engineering and data quality standards that improve trust, reusability, and maintainability.
  • Collaborate with engineers, data scientists, finance partners, and business stakeholders to design intuitive data products.
  • Contribute to tools and libraries that help other teams build high-quality financial data products at scale.
  • Engage in mentorship and feedback practices that build accountability, inclusion, and growth across the team.

Requirements

  • You are comfortable working with Python, Java, or Scala and use them to build reliable, maintainable data pipelines.
  • You know how to work with higher-level JVM-based processing frameworks such as Flink, Beam, Dataflow, or Spark.
  • You are comfortable navigating ambiguity and moving forward when problem spaces are loosely defined.
  • You are experienced in large-scale cloud-based data processing, ideally in Google Cloud Platform.
  • You have strong analytical skills and communicate insights clearly across technical and non-technical audiences.
  • You care about thoughtful data modeling and treat data as a long-lived product.
  • You have a passion for clean, maintainable code and robust pipeline design.
  • You are curious about systems and data, and you continually look for opportunities to improve them.
  • You are skilled in SQL and familiar with large-scale platforms such as BigQuery.
  • You value collaboration and build positive relationships across technical and business domains.
Benefits
  • Flexible working hours
  • Growth opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonJavaScalaFlinkBeamDataflowSparkSQLBigQuerydata modeling
Soft skills
analytical skillscommunicationcollaborationmentorshipproblem-solvingaccountabilityinclusioncuriosityadaptabilityrelationship building