Remote Staff Data Engineer, Subscriptions Platform

Spotify

York and North Yorkshire

Remote

GBP 100,000 - 150,000

Full time

2 days ago
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Job summary

Spotify is seeking a Staff Data Engineer for the Subscriptions User Understanding team to define the long-term data strategy, design scalable batch and streaming platforms, and influence engineering across multiple squads. You will mentor senior engineers and partner with Product, Data Science, Analytics and Platform teams to build durable, high-quality data solutions.

Design data models and governance practices that support growth toward one billion users while balancing performance, cost, and

Qualifications

  • Extensive experience designing, building and operating large-scale cloud-native data platforms.
  • Deep experience building reliable distributed data pipelines with modern tools.
  • Strong focus on data modeling, governance and data quality practices.

Responsibilities

  • Define and drive long-term data engineering strategy for the Subscriptions User Understanding domain.
  • Design scalable batch and streaming data platforms powering analytics, experimentation and ML.
  • Partner with Product, Engineering, Data Science, Analytics and Platform teams to solve complex data challenges.
  • Lead architectural decisions and establish data quality, governance, observability, reliability best practices.
  • Design data models and platform architecture to support growth toward one billion users.
  • 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 knowledge sharing.

Skills

Cloud data platforms
Distributed pipelines
Data modeling
Metadata management
Governance
Data quality
Mentoring
Leadership
Communication

Tools

Scio
BigQuery
Dataflow
GCS
SQL
Python

Job description

Spotify is seeking a Staff Data Engineer for the Subscriptions User Understanding team to define the long-term data strategy, design scalable batch and streaming platforms, and influence engineering across multiple squads. You will mentor senior engineers and partner with Product, Data Science, Analytics and Platform teams to build durable, high-quality data solutions.

Design data models and governance practices that support growth toward one billion users while balancing performance, cost, and

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