Pay: Salary not listed in the saved posting
Work setup: Unconfirmed
Employment: Permanent — employment source
Employment type Permanent
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What you’ll work on

Collaborate with product and engineering teams to build and support critical data infrastructure and datasets.
Build systems that collect and process user behaviour data at scale.
Design and evolve data architectures that support high data volumes and a broad range of internal users.

From the employer’s posting

What You'll Do Collaborate with product and engineering teams to build and support critical data infrastructure and datasets. Build systems that collect and process user behaviour data at scale.

Collaborate with product and engineering teams to build and support critical data infrastructure and datasets. Build systems that collect and process user behaviour data at scale. Help power Spotify’s personalization and recommendation systems, as well as the tools teams use to build and test new features.

Help power Spotify’s personalization and recommendation systems, as well as the tools teams use to build and test new features. Design and evolve data architectures that support high data volumes and a broad range of internal users. Improve the reliability, scalability, and usability of our data infrastructure.

What you’ll bring

All qualifications

Core experience

You have experience with JVM-based data processing frameworks such as Flink, Beam, Dataflow, or Spark.
You have experience with data modeling and schema design.

Qualification wording

You have experience with JVM-based data processing frameworks such as Flink, Beam, Dataflow, or Spark.

You have experience with data modeling and schema design.

Tools in this posting

SQL
Kubernetes
Java
Spark
BigQuery

Source

- You are an experienced Data Engineer, and proficient in backend development using Java. - You are comfortable working with large-scale datasets using SQL and platforms such as BigQuery. - You have experience with JVM-based data processing frameworks such as Flink, Beam, Dataflow, or Spark.

- You have experience with JVM-based data processing frameworks such as Flink, Beam, Dataflow, or Spark. - You are familiar with DevOps practices, cloud infrastructure, containerized applications, and Kubernetes fundamentals. - You have experience with data modeling and schema design.

Who You Are - You are an experienced Data Engineer, and proficient in backend development using Java. - You are comfortable working with large-scale datasets using SQL and platforms such as BigQuery.

- You are comfortable working with large-scale datasets using SQL and platforms such as BigQuery. - You have experience with JVM-based data processing frameworks such as Flink, Beam, Dataflow, or Spark. - You are familiar with DevOps practices, cloud infrastructure, containerized applications, and Kubernetes fundamentals.

Job description

View original posting ↗

The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers.

The Data Platform team develops and maintains the infrastructure that supports Spotify’s data ecosystem. Within Data Platform, the Data Collection product area builds infrastructure that makes it easier to collect and consume data at scale. You’ll join a team focused on making user behaviour data seamless and reliable for data teams across Spotify.

What You'll Do

Collaborate with product and engineering teams to build and support critical data infrastructure and datasets.

Build systems that collect and process user behaviour data at scale.

Help power Spotify’s personalization and recommendation systems, as well as the tools teams use to build and test new features.

Design and evolve data architectures that support high data volumes and a broad range of internal users.

Improve the reliability, scalability, and usability of our data infrastructure.

Work across disciplines to solve complex data challenges and make an impact across Spotify.

Who You Are

You are an experienced Data Engineer, and proficient in backend development using Java.

You are comfortable working with large-scale datasets using SQL and platforms such as BigQuery.

You have experience with JVM-based data processing frameworks such as Flink, Beam, Dataflow, or Spark.

You are familiar with DevOps practices, cloud infrastructure, containerized applications, and Kubernetes fundamentals.

You have experience with data modeling and schema design.

You care about high-quality code and engineering practices such as continuous delivery and automated testing.

You value experimentation, iterative development, and collaborative software development practices.

You are comfortable navigating ambiguity and open-ended problems, using data and sound judgment to make decisions.

Where You'll Be

This role is based in London
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.

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.

Employment type

Permanent

Your next step

Have your CV and examples of relevant work ready.
Check the listed location, eligibility and core experience before starting.
Ask the employer about the salary range before committing time to the process.

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Source & posting history

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Pay

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Location & working pattern

London

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Work authorization

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Open source at jobs.lever.co ↗Read the full description ↓

Status in our records: Active
First seen by us: Aug 21, 2026
Recorded sightings: 38
Last seen by us: Oct 8, 2026
Employer says posted: Aug 12, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

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Senior Data Engineer - Data Platform