Staff Data Engineer — Scalable Subscriptions Platform Remote

Spotify; Newcastle upon Tyne; Remote; GBP 120,000 - 160,000; Full time

Job summary

Spotify is seeking a Staff Data Engineer for the Subscriptions User Understanding domain. You will define the long-term data strategy and build scalable batch and streaming platforms powering analytics, experimentation, and subscriber health.

You will mentor engineers, influence architecture, and collaborate across Product, Engineering, Data Science, Analytics, and Platform teams to enable growth to one billion users.

Qualifications

• Experience designing and operating large-scale cloud data platforms.
• Proven ability to build reliable distributed data pipelines.
• Strong understanding of data modeling, governance, and quality.

Responsibilities

• Define and drive long-term data engineering strategy for the domain.
• Design scalable batch and streaming data platforms for analytics, ML, and experiments.
• Collaborate with Product, Engineering, Data Science, Analytics, and Platform teams.
• Lead architectural decisions and establish data quality and observability practices.
• Design data models and platform architecture for scalable growth to one billion users.
• Simplify complex systems and reduce technical debt across the data ecosystem.
• Mentor senior engineers and promote thoughtful, collaborative engineering.

Skills

Data engineering

Distributed pipelines

Cloud-native platforms

SQL

Python

Tools

BigQuery

Dataflow

Scio

GCS

SQL

Job description

Spotify is seeking a Staff Data Engineer for the Subscriptions User Understanding domain. You will define the long-term data strategy and build scalable batch and streaming platforms powering analytics, experimentation, and subscriber health.

You will mentor engineers, influence architecture, and collaborate across Product, Engineering, Data Science, Analytics, and Platform teams to enable growth to one billion users.