Remote Staff Data Engineer: Scalable Data Platform Lead

Spotify; Chipping Norton; Hybrid; GBP 110,000 - 160,000; Full time

Job summary

Spotify is seeking a Staff Data Engineer for the Subscriptions User Understanding domain to shape the long-term data architecture and scale our data ecosystem across analytics, experimentation, and ML.You will partner with product, engineering, data science, and platform teams to translate business challenges into durable data solutions.

You will mentor engineers and help drive a culture of thoughtful engineering, governance, and reliability while balancing performance and cost at scale.

Qualifications

• Experience designing, building, and operating large-scale cloud-native data platforms.
• Strong experience with scalable batch and streaming data pipelines using Scio, BigQuery, Dataflow, GCS, SQL, Python.
• Ability to lead architectural decisions and establish data quality, governance, observability, reliability practices.

Responsibilities

• Define and drive the long-term data engineering strategy for the Subscriptions User Understanding domain, identifying opportunities that improve scalability, reliability, and business impact.
• Design scalable batch and streaming data platforms that power analytics, experimentation, machine learning, and subscriber experiences.
• Partner with Product, Engineering, Data Science, Analytics, and Platform teams to turn complex business challenges into durable, well-designed data solutions.
• Lead architectural decisions and establish engineering best practices for data quality, governance, observability, reliability, and operational excellence across multiple squads.
• Design data models and platform architecture that support sustainable growth toward one billion users while balancing performance, cost, and maintainability.
• Simplify complex systems, reduce technical debt, and improve the developer experience across the broader data ecosystem.
• Mentor senior engineers, influence technical direction through collaboration, and help foster a culture of thoughtful engineering, knowledge sharing, and continuous improvement.

Skills

Cloud data platforms

Data modeling

Python

BigQuery

Dataflow

SQL

GCS

Mentoring

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 architecture and scale our data ecosystem across analytics, experimentation, and ML.You will partner with product, engineering, data science, and platform teams to translate business challenges into durable data solutions.

You will mentor engineers and help drive a culture of thoughtful engineering, governance, and reliability while balancing performance and cost at scale.