Remote Staff Data Engineer - Scale a 1B-User Platform

Spotify

Broughton

Remote

GBP 120,000 - 180,000

Full time

2 days ago
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Job summary

Spotify seeks a Staff Data Engineer for the Subscriptions User Understanding domain to shape the data platform strategy and build scalable pipelines for analytics, ML, and subscriber insights. You will drive architecture, mentor engineers, and partner across Product, Engineering, Data Science, and Analytics to deliver durable data solutions.

The role emphasizes leadership, cloud-native design, and delivering high-impact data platforms at scale across Spotify's global user base.

Qualifications

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

Responsibilities

  • Define and drive the long-term data engineering strategy for the domain.
  • Design scalable batch and streaming data platforms for analytics and ML.
  • Partner with Product, Engineering, Data Science, Analytics, and Platform teams.
  • Lead architectural decisions and establish engineering best practices.
  • Design data models and platform architecture for scalable growth.
  • Simplify systems, reduce technical debt, improve developer experience.
  • Mentor senior engineers and foster a culture of technical excellence.

Skills

Cloud data platforms
Distributed data pipelines
BigQuery
Dataflow
GCS
SQL
Python
Scio
Technical leadership
Data governance

Tools

BigQuery
Dataflow
GCS
SQL
Python
Scio

Job description

Spotify seeks a Staff Data Engineer for the Subscriptions User Understanding domain to shape the data platform strategy and build scalable pipelines for analytics, ML, and subscriber insights. You will drive architecture, mentor engineers, and partner across Product, Engineering, Data Science, and Analytics to deliver durable data solutions.

The role emphasizes leadership, cloud-native design, and delivering high-impact data platforms at scale across Spotify's global user base.

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