Senior Data Engineer - Cost Platform

Spotify Spotify · Consumer · Toronto, ON · Platform

Senior Data Engineer role focused on building and maintaining data infrastructure and pipelines for cloud cost, usage, and emissions data. The role involves designing scalable data systems, partnering with various teams (Data Science, Engineering, Finance, Procurement), and ensuring data accuracy for reporting and optimization initiatives. The goal is to drive sustainability through cost and climate intelligence.

What you'd actually do

  1. Be responsible for the design, implementation, and evolution of scalable, reliable data infrastructure that underpins Spotify’s cost and carbon intelligence.
  2. Own end-to-end data pipelines for cloud cost, usage, and emissions data: spanning ingestion, transformation, modeling, and serving layers.
  3. Partner deeply with Data Scientists, Engineering, Finance, and Procurement to translate sophisticated analytical and business needs into robust data architectures.
  4. Set technical direction and standards for data modeling, orchestration, testing, and observability within the Cost Engineering domain.
  5. Build and maintain curated, analytics-ready datasets that power executive reporting, forecasting, and optimization initiatives.

Skills

Required

  • Python
  • SQL
  • DBT
  • modern orchestration frameworks
  • data quality tooling
  • observability tooling
  • Spark
  • Flink
  • Dataflow
  • GCP

What the JD emphasized

  • production-critical data systems
  • scale with both data volume and organizational complexity
  • evolving requirements
  • sophisticated technical concepts
  • financial, billing, or usage data
  • data quality and observability tooling