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职位Spotify

Data Engineer II - SRC - Music

Spotify

Data Engineer II - SRC - Music

Spotify

London

·

On-site

·

Full-time

·

3w ago

The Rights Systems team builds and operates Spotify Rights Center (SRC) — Spotify’s rights management platform that enables Spotify and its partners to identify, manage, and enforce music licensing rights across all the content available on the platform.
Comparable in scope to YouTube’s Content ID, SRC is purpose-built for Spotify’s ecosystem and underpins the company’s strategy for video and emerging content types. Over the past year, the team has taken SRC from concept to a fully operational production platform, delivering automated content scanning, policy management, enforcement pipelines, appeals workflows, manual claims, and analytics capabilities.
The team has grown from a single squad to three squads (~30 bandmates) and continues to scale as a strategic investment area for Spotify over the next several years.

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关于Spotify

Spotify

Spotify

Public

Spotify is a Swedish audio streaming and media service provider founded in April 2006 by Daniel Ek and Martin Lorentzon. As of December 2025, it was one of the largest providers of music streaming services, with over 751 million monthly active users comprising 290 million paying subscribers.

5,001-10,000

员工数

Stockholm

总部位置

$23B

企业估值

评价

4.1

10条评价

工作生活平衡

3.8

薪酬

4.2

企业文化

4.3

职业发展

3.9

管理层

2.8

78%

推荐给朋友

优点

Flexible working hours and remote options

Great team culture and collaborative environment

Innovative projects and creative freedom

缺点

High workload and performance pressure

Fast-paced environment can be overwhelming

Management issues and disorganization

薪资范围

17个数据点

Junior/L3

Mid/L4

Senior/L5

Staff/L6

Junior/L3 · Associate Data Scientist

0份报告

$142,458

年薪总额

基本工资

-

股票

-

奖金

-

$121,089

$163,827

面试经验

3次面试

难度

3.0

/ 5

时长

14-28周

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit