Remote Staff Data Engineer, Subscriptions Platform

Spotify; Truro; Remote; GBP 110,000 - 140,000; Full time

Job summary

Spotify is seeking a Staff Data Engineer for the Subscriptions User Understanding domain to shape the long-term data platform that powers analytics, experimentation, and subscriber health for hundreds of millions of users. You will define strategy, design scalable batch and streaming data platforms, and mentor engineers across multiple squads.

This role requires cross-team collaboration with Product, Data Science, Analytics, and Platform teams to translate complex business challenges into

Qualifications

• Experience designing, building and operating large-scale cloud-native data platforms.
• Experience building reliable distributed data pipelines.
• Strong understanding of modern data modeling and data quality practices.
• Familiarity with metadata management and governance practices.

Responsibilities

• Define long-term data engineering strategy for the Subscriptions User Understanding domain.
• Design scalable batch and streaming data platforms for analytics and ML.
• Partner with product, engineering, data science, analytics and platform teams to deliver durable data solutions.
• Lead architecture decisions and establish data quality, governance and observability practices.
• Design data models and platform architecture to support growth toward 1B users.
• Mentor engineers and foster a culture of thoughtful engineering and knowledge sharing.

Skills

Cloud-native data platforms

Distributed data pipelines

Data modeling

Metadata management

Data quality practices

Stakeholder communication

Tools

Scio

BigQuery

Dataflow

GCS

SQL

Python

Job description

Spotify is seeking a Staff Data Engineer for the Subscriptions User Understanding domain to shape the long-term data platform that powers analytics, experimentation, and subscriber health for hundreds of millions of users. You will define strategy, design scalable batch and streaming data platforms, and mentor engineers across multiple squads.

This role requires cross-team collaboration with Product, Data Science, Analytics, and Platform teams to translate complex business challenges into