Remote Staff Data Platform Engineer

Spotify

Kidlington

Remote

GBP 140,000 - 190,000

Full time

4 days ago
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Job summary

Spotify is seeking a Staff Data Engineer to shape the long-term data strategy for the Subscriptions User Understanding domain. You will design scalable data platforms and mentor engineers, partnering across product, engineering, data science, analytics, and platform teams to deliver robust data solutions.

Join a team building the foundations for analytics, experimentation, ML, and subscriber health at scale as Spotify continues its growth toward one billion users and beyond.

Qualifications

  • Extensive experience building and operating large-scale cloud-native data platforms.
  • Deep experience designing reliable distributed data pipelines.
  • Strong understanding of data modeling, metadata management, governance, and data quality practices.

Responsibilities

  • Define and drive the long-term data engineering strategy for the Subscriptions User Understanding domain.
  • Design scalable batch and streaming data platforms powering analytics, experimentation, ML, and subscriber experiences.
  • Partner with Product, Engineering, Data Science, Analytics, and Platform teams to translate business challenges into data solutions.
  • Lead architectural decisions and establish engineering best practices for data quality, governance, observability, reliability, and operational excellence.
  • Design data models and platform architecture to support growth toward one billion users while balancing performance, cost, and maintainability.
  • Simplify complex systems, reduce technical debt, and improve developer experience across the data ecosystem.
  • Mentor senior engineers and foster a culture of thoughtful engineering and continuous improvement.

Skills

Cloud-native platforms
Distributed data pipelines
Data modeling
Metadata management
Data governance
Data quality

Tools

Scio
BigQuery
Dataflow
GCS
SQL
Python

Job description

Spotify is seeking a Staff Data Engineer to shape the long-term data strategy for the Subscriptions User Understanding domain. You will design scalable data platforms and mentor engineers, partnering across product, engineering, data science, analytics, and platform teams to deliver robust data solutions.

Join a team building the foundations for analytics, experimentation, ML, and subscriber health at scale as Spotify continues its growth toward one billion users and beyond.

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