#2d3c6710-ea76-43b2-8748-c1e59c5b1c61
dership 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