AI Insights

Data Engineer - Customer Service Platform

Spotify · London, GB

full-timemid (2-5 yrs)Posted 49d ago

Data EngineeringIC2ICHybrid (2d)

StackBigQueryGCPDataflowPub/SubSQLJavaApache BeamData ModelingBatch ProcessingStream ProcessingData QualityMonitoringData Pipelines

Summary

Data Engineer role on Spotify's Rock Solid team within the Customer Service Platform org, focused on building and maintaining reliable, scalable data pipelines and infrastructure that power customer support operations across analytics, reporting, and ML systems.

About the role

Spotify’s Subscriptions Mission focuses on converting listeners into lifelong subscribers by delivering seamless, valuable experiences across pricing, packaging, and customer journeys. We build the systems and tools that power acquisition, retention, and overall subscription growth at scale.

The Customer Service Platform (CSP) organization builds the tools and infrastructure that power Spotify's customer support operations. Within CSP, the Rock Solid team focuses on reliable, scalable data systems that enable advisors to support hundreds of thousands of users every day.

What You'll Do

Build and maintain data pipelines that power analytics, reporting, and machine learning systems

Work with BigQuery and GCP to process large-scale datasets

Develop batch and real-time data processing using tools like Dataflow and Pub/Sub

Implement monitoring and data quality checks to ensure reliability

Design data models for downstream consumers across analytics and product teams

Contribute to backend services using Java

Troubleshoot issues and support system reliability

Collaborate with engineers, analysts, and product partners

Who You Are

You have experience in data engineering or backend development

You are comfortable with SQL and working with large datasets

You have experience with cloud platforms, ideally GCP

You are interested in backend development, particularly Java

You understand batch and streaming data concepts

You write maintainable, well-tested code

You are curious and eager to learn

You communicate clearly and work well in teams

Where You'll Be

This role is based in London or Stockholm

We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

Additional

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

What you'll do

1Build and maintain data pipelines powering analytics, reporting, and machine learning systems

2Work with BigQuery and GCP to process large-scale datasets

3Develop batch and real-time data processing using Dataflow and Pub/Sub

4Implement monitoring and data quality checks to ensure reliability

5Design data models for downstream consumers across analytics and product teams

6Contribute to backend services using Java

7Troubleshoot issues and support system reliability

8Collaborate with engineers, analysts, and product partners

Requirements

■Experience building and maintaining data pipelines for analytics, reporting, and ML systems at scale

■Proficiency with SQL and large-scale dataset processing on cloud platforms, preferably GCP

■Hands-on experience with batch and real-time (streaming) data processing concepts and tools

■Ability to write maintainable, well-tested code including contributions to backend Java services

■Strong collaboration and communication skills working across engineering, analytics, and product teams

Nice to have

■Apache Beam

■dbt

■Terraform

■Kafka

■Spark

■Python

■Looker

■Data Vault or Kimball modeling

Role overview

Role family

Data Engineering

Level

IC2 — data_engineering

Experience

2–5 years

Type

Individual Contributor

Remote policy

Hybrid (2 days)

Visa sponsorship

Not offered

Tech stack analysis

LANGUAGES

JavaSQL

DATABASES

BigQuery

INFRASTRUCTURE

GCPGoogle Cloud DataflowGoogle Cloud Pub/Sub

Salary estimate

£65K – £95K

AI-estimated salary range

Confidence65%

Reasoning

Salary not disclosed. Estimated based on mid-level data engineering role in London (primary market). Spotify is a Tier-1 tech company with competitive compensation. London mid-level DE roles at companies of this caliber typically range £65k–£95k base. Stockholm equivalent would be approximately SEK 650k–900k annually. Confidence reduced due to dual-location listing and lack of explicit seniority band.

See the AI-estimated salary range for this role

Green flags

5 items

■Spotify is a globally recognized brand with a strong engineering culture and mission-driven identityculture

Discover all 5 green flags for this role

Benefits breakdown

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Hiring insights

JD quality

6/10

Urgency

unknown

Autonomy

medium

Team size

small (2-5)

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Red flags

PRO4 items

■No salary range disclosed, which limits candidate transparency, particularly notable given Spotify's size and location in two regulated marketscompensation

See all 4 red flags — what the JD isn't telling you

Interview insights

PRO

Rounds

Duration

4 wks

Difficulty

hard

Take-home

Yes

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Career path

PRO

Next roles

Senior Data EngineerData Engineering LeadAnalytics Engineer

See where this role leads — full career progression

About the company

Spotify

www.spotify.com

Spotify is the world's most popular audio streaming platform with over 640 million users, including 250 million premium subscribers, across 180+ markets. It offers the largest catalog of music, podcasts, and audiobooks, powered by personalization algorithms that deliver billions of tailored recommendations daily.

HQStockholm, Sweden

Interview difficultyhard

Build vs Maintainboth

Cross-functionalYes

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