Remote Staff Data Platform Engineer

Spotify; Tees Valley; Remote; GBP 100,000 - 160,000; Full time

Job summary

Spotify is seeking a Staff Data Engineer to shape the long-term data platform strategy for the Subscriptions User Understanding domain. You will design scalable cloud-native data platforms that support analytics, experimentation, and machine learning, collaborating with product, engineering, data science, and analytics teams.

You will lead architectural decisions, ensure data quality and governance, and mentor engineers while guiding scalable solutions for billions of subscriber interactions.

Qualifications

• Extensive experience designing, building, and operating large-scale cloud-native data platforms.
• Experience designing scalable data pipelines for analytics, experimentation and ML.
• Ability to collaborate across product, engineering, data science and analytics teams.

Responsibilities

• Define and drive the long-term data engineering strategy for the Subscriptions User Understanding domain.
• Design scalable batch and streaming data platforms powering analytics and ML.
• Partner with cross-functional teams to translate business challenges into durable data solutions.
• Lead architectural decisions and establish data quality, governance and observability practices.
• Design data models and platform architectures to support growth toward one billion users.

Skills

Cloud-native data platforms

Data pipelines

BigQuery

Python

Tools

Scio

BigQuery

Dataflow

GCS

SQL

Python

Job description

Spotify is seeking a Staff Data Engineer to shape the long-term data platform strategy for the Subscriptions User Understanding domain. You will design scalable cloud-native data platforms that support analytics, experimentation, and machine learning, collaborating with product, engineering, data science, and analytics teams.

You will lead architectural decisions, ensure data quality and governance, and mentor engineers while guiding scalable solutions for billions of subscriber interactions.