Staff Data Engineer — Remote, Scale Subscription Data

Greenlever; Greater London; On-site; GBP 110,000 - 150,000; Full time

Job summary

Spotify is hiring a Staff Data Engineer in London with remote options. You will define long-term data engineering strategy for the Subscriptions User Understanding domain, design scalable data platforms, and collaborate across product, analytics, and platform teams to deliver reliable, scalable solutions for a global subscriber base.

You will mentor engineers, lead architectural decisions, and help shape the data ecosystem to support growth, experimentation, and advanced analytics across the

Qualifications

• Design and implement scalable, cloud-native data platforms for analytics and experimentation.
• Lead architectural decisions and engineering best practices across squads.
• Mentor engineers and promote a culture of thoughtful engineering and continuous improvement.

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, and analytics teams to translate business problems into data solutions.
• Improve data quality, governance, observability, and reliability across teams.
• Design data models and platform architectures to scale toward one billion users.
• Reduce technical debt and improve developer experience across the data ecosystem.
• Mentor senior engineers and influence technical direction.

Skills

Cloud-native data platforms

Data architecture

Data modeling

Data governance

Data quality

Mentoring

Cross-functional collaboration

Leadership

Tools

Scio

BigQuery

Dataflow

GCS

SQL

Python

Job description

Spotify is hiring a Staff Data Engineer in London with remote options. You will define long-term data engineering strategy for the Subscriptions User Understanding domain, design scalable data platforms, and collaborate across product, analytics, and platform teams to deliver reliable, scalable solutions for a global subscriber base.

You will mentor engineers, lead architectural decisions, and help shape the data ecosystem to support growth, experimentation, and advanced analytics across the