Backend/Data Engineer (EMEA)

Backend/Data Engineer (EMEA)

This job is no longer open
The Platform department creates the technology ecosystem that enables Spotify to learn and deliver quickly, while safely and easily scaling to billion customers, and enabling our rapid employee growth around the globe. Our team consists of six organisational units (known as ‘tribes’) that reflect the needs and groupings of our internal customers.

We seek challenging technical problems that address business critical needs for teams all over Spotify, and engage in large open-source code bases (Luigi, Flyte, Styx), while working in a friendly, collaborative, and safe environment. We are an amplifier for efficiency, quality, and innovation across Spotify.

We are looking for backend engineers with interest in data/infrastructure development to join one of our core data infrastructure teams that specialize in:

Systems for scheduling, orchestrating and deploying thousands of our distinct data pipelines that run ~ hundreds of thousands of tasks per day.
Monitoring, alerting and reliability infrastructure for our data platform.

What you’ll do

    • Be part of an infrastructure team dedicated to empower engineers and data scientists across Spotify to work with data.
    • Increase developer productivity by building innovative tools that reduce maintenance overhead of working with data pipelines and help increase platform reliability.
    • Work in multi-functional agile teams to continuously experiment, iterate and deliver on new product objectives.
    • Develop in different technologies and infrastructure, ranging from Java (main language of choice) to Golang and Python.
    • Use standard methodologies in continuous integration and delivery.

    • You don’t like leaving questions unanswered and you love exploring/understanding data.
    • You are passionate about system design, data structures, and algorithms.
    • You care about writing clean code.
    • You are pragmatic and understand the tradeoffs between the perfect solution and a working solution.
    • You appreciate agile software processes, data-driven development, reliability, and responsible experimentation.
    • You are familiar with Java and backend development.
    • You have a few years of relevant experience, or much more; we welcome a diverse set of applicants with various seniority levels.
    • A good foundation in Kubernetes and building data pipelines is a plus.

Where you’ll be

    • We are a distributed workforce enabling our band members to find a work mode that is best for them!
    • Where in the world? For this role, it can be within the EMEA region in which we have a work location and is within working hours. 
    • Working hours? We operate within the Central European and GMT time zones for collaboration and ask that all be located that time zone. 
    • Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere  options here.


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.

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 with a community of more than 365 million users.

This job is no longer open
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