The Subscriptions R&D team oversees the entire user journey on Spotify and ensures we engage with people in innovative ways, every step of the way. Our team grows Spotify’s audience by finding future listeners around the world and delivering the right value to them, at the right time. With research, product development, product design, engineering, and marketing, all collaborating in one organization, we’re able to quickly create meaningful features and services for millions of people around the world, resulting in joyful, long-lasting relationships with Spotify.

Locations

Stockholm
London

Job type

Permanent

We are looking for a passionate Data Engineer to help us accomplish our mission: to optimize the user journey to drive retention by educating, re-activating, and fostering long-term engagement among free and premium users.

You’ll be working on a set of Data and ML initiatives focused on improving free and premium retention, as well as designing, building and maintaining a diverse range of different data jobs, analytics of key metrics and feature sets for ML models.

What You'll Do

Design and build large-scale batch and real-time data pipelines with data processing frameworks like Scio, Dataflow and BigQuery
Help drive optimization, testing and tooling to improve data quality
Mentor and coach other engineers on data engineering best practices
Create, update and evangelize standards and documentation that improve the experience for people working with data at Spotify
Collaborate with other Data, Backend and Machine Learning engineers, data scientists and managers
Be a valued member of a multi-functional agile team that continuously experiments, iterates, and delivers on new product objectives

Who You Are

You have a strong understanding of data systems
You are knowledgeable and passionate about improving and building data platforms
You have experience with Backend engineering, or an interest in developing those skills
You are familiar with Machine Learning and would be interested in supporting the delivery of Machine Learning models into production
You are familiar with current engineering practices such as distributed architecture
You have experience with one or more higher-level JVM-based data processing frameworks such as Beam, Dataflow, Crunch, Scalding, Storm or Spark
You have experience working with Scala and Java. Python, Scio & Luigi would be an encouraged bonus
You are curious about new technologies and finding uses and insights for all types of data
You have the desire and ability to contribute across different disciplines

Where You'll Be

You'll be based in Stockholm, Sweden, or London, UK

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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