The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music and podcasts better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build which include destinations like Home and Search as well as original playlists such as Made For You, Discover Weekly and Daily Mix.

Locations

Stockholm
London

Job type

Permanent

We are looking for a Data engineer with backend experience to join our team. We are at the forefront of development for Spotify’s recommendation systems, which power personalized content across music, podcasts, and audiobooks. This is a unique opportunity to help develop and shape the way Spotify recommendations work. You’ll be able to grow your skills in engineering at scale, drive a ton of business impact, and join a high-energy, positive team environment!

Join us and you’ll keep millions of users listening to great recommendations every day.

What You'll Do

Build large-scale data pipelines with data processing frameworks like Scio, BigQuery, Google Cloud Platform and Apache Beam
Develop, deploy, and operate Java services that impact millions of users
Work on machine learning projects powering the experience that suits each user individually
Collaborate with other engineers, product managers and stakeholders, taking on learning and leadership opportunities that will arise every single day
Deliver scalable, testable, maintainable, and high-quality code
Share knowledge, promote standard methodologies, making your team the best version of itself through mentorship and constructive accountability.

Who You Are

You know Scala well and are interested in spreading this knowledge in the team
You have experience with one or more higher-level JVM-based data processing frameworks such as Beam, Dataflow, Crunch, Scalding, Storm, Spark, Flink etc
You are experienced in deploying and operating Kubernetes based Java applications along with strong knowledge of DevOps best practicesYou have worked with Docker as well as Flyte, Luigi, Airflow, or similar tools
You have familiarity and knowledge of machine learning principles
You understand quality and you know what it means to ship high quality code
You care about agile software processes, data-driven development, reliability, and responsible experimentation
You understand the value of collaboration and partnership within teams

Where You'll Be

This role will be located in our London or Stockholm office

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Our global benefits

Extensive learning opportunities, through our dedicated team, GreenHouse.

Flexible share incentives letting you choose how you share in our success.

Global parental leave, six months off - fully paid - for all new parents.

All The Feels, our employee assistance program and self-care hub.

Flexible public holidays, swap days off according to your values and beliefs.

Learn about life at Spotify

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 500 million users.

Learn more about our culture