Staff Data Engineer — Subscriptions Data Platform

Spotify

St. Austell

Remote

GBP 130,000 - 180,000

Full time

3 days ago
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Job summary

Spotify is looking for a Staff Data Engineer who combines deep technical expertise with strategic thinking. You’ll help define the long-term direction of Spotify’s data ecosystem and influence engineering across multiple teams, building foundations that scale with our future.

In this role you’ll design scalable batch and streaming platforms, mentor engineers, and partner with product, analytics, ML, and platform teams to turn complex business challenges into durable data solutions that drive

Qualifications

  • Extensive experience designing, building, and operating large-scale cloud-native data platforms.
  • Strong experience designing reliable distributed data pipelines and data models.
  • Ability to influence engineering direction through collaboration and clear communication.

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 durable 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 and cost.
  • Mentor senior engineers and foster a culture of thoughtful engineering and knowledge sharing.

Skills

Cloud data platforms
Distributed pipelines
BigQuery
Dataflow
GCS
Python
SQL
Scio

Tools

BigQuery
Dataflow
GCS
Python
SQL
Scio

Job description

Spotify is looking for a Staff Data Engineer who combines deep technical expertise with strategic thinking. You’ll help define the long-term direction of Spotify’s data ecosystem and influence engineering across multiple teams, building foundations that scale with our future.

In this role you’ll design scalable batch and streaming platforms, mentor engineers, and partner with product, analytics, ML, and platform teams to turn complex business challenges into durable data solutions that drive

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