Remote Staff Data Engineer: Scale Subscriptions Platform

Spotify; Elmbridge; Remote; GBP 120,000 - 180,000; Full time

Job summary

Spotify seeks a Staff Data Engineer for the Subscriptions User Understanding domain to shape the long-term data engineering strategy and design scalable data platforms. You will collaborate with product, engineering, data science, analytics, and platform teams to convert complex business challenges into durable data solutions.

You will drive architectural decisions, enforce data quality, governance, observability, and reliability across multiple squads, and design models ready for growth toward

Qualifications

• Experience building large-scale cloud-native data platforms.
• Experience designing scalable batch and streaming data pipelines.
• Strong collaboration across Product, Engineering, Data Science, Analytics, and Platform teams.

Responsibilities

• Define and drive long-term data engineering strategy for the Subscriptions User Understanding domain.
• Design scalable batch and streaming data platforms powering analytics, ML, and subscriber experiences.
• Partner with cross-functional teams to turn complex business challenges into durable data solutions.
• Lead architectural decisions and establish data quality, governance, observability, reliability across squads.
• Design data models and platform architecture for scalable growth toward one billion users.
• Simplify systems and reduce technical debt while improving developer experience.
• Mentor senior engineers and foster a culture of thoughtful engineering.

Skills

Data engineering

Cloud-native

Mentoring

Cross-functional collaboration

Tools

Scio

BigQuery

Dataflow

GCS

SQL

Python

Job description

Spotify seeks a Staff Data Engineer for the Subscriptions User Understanding domain to shape the long-term data engineering strategy and design scalable data platforms. You will collaborate with product, engineering, data science, analytics, and platform teams to convert complex business challenges into durable data solutions.

You will drive architectural decisions, enforce data quality, governance, observability, and reliability across multiple squads, and design models ready for growth toward