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.
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
