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• Engineering

• Data

Locations

• London
• Stockholm

Job type

What You'll Do

• Build large-scale speech and audio data pipelines using frameworks like Google Cloud Platform and Apache Beam
• Work on machine learning projects powering new generative AI experiences and helping to build state-of-the-art text-to-speech models
• Learn and contribute to the teams best practices and techniques for building data pipelines for large scale generative models, including cleaning, filtering, classifying and labelling
• Collaborate with other engineers, researchers, product managers and stakeholders, taking on learning and leadership opportunities that arise
• 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 have Data Engineering experience and you know how to work with high-volume, heterogeneous data, preferably with distributed systems such as Hadoop, BigTable, Cassandra, GCP, AWS
• You have experience building clean, high quality datasets for training large scale machine learning models, a focus on audio data is preferred
• You have experience with one or more higher-level Python or Java based data processing frameworks such as Beam, Dataflow, Crunch, Scalding, Storm, Spark etc
• You have strong Python programming abilities. You might have worked with Docker as well as Luigi, Airflow, or similar tools
• You care about quality and you know what it means to ship high quality code
• You have experience managing data retention policies
• You care about agile software processes, data-driven development, reliability, and responsible experimentation
• You understand the value of collaboration and partnership within teams

Were You'll Be

• This role is located in London, UK or Stockholm, Sweden

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.