As the world’s largest audio streaming subscription service, Spotify Premium enables millions of creatives to make a living from their art by connecting them with the people who love it. Research & Development deep dives into user behaviour to create a more valuable and meaningful experience for subscribers. It’s here that you’ll grow our audience and our platform, working with many disciplines across many locations to build innovative and tech-powered product solutions.
Spotify is looking for a Data Engineer to join our engineering organization. You will be a part of enabling our current and future premium offerings to effectively drive revenue growth for Spotify.You will build data-driven solutions to bring music and digital media experiences to our 200 million active users and millions of artists either by working directly on product features or by improving the quality of our data tools and infrastructure. You will also take on complex data-related problems using some of the most diverse datasets available — user behavior, content, cultural and contextual data, and other signals across our broad range of mobile and connected platforms. Above all, your work will influence the way people experience music.
What you'll do
Build large-scale batch and real-time data pipelines with data processing frameworks like Scalding, Scio, Storm, Spark on Google Cloud Platform.Leverage best practices in continuous integration and delivery.Help drive optimization, testing and tooling to improve data quality.Collaborate with other Software Engineers, ML Engineers, Data Scientists, and other stakeholders, taking on learning and leadership opportunities that will arise every single day.Work in cross-functional agile teams to continuously experiment, iterate and deliver on new product objectives.
Who you are
You have significant Data Engineering experience and you know how to work with high volume heterogeneous data, preferably with distributed systems such as Hadoop, BigTable, and Cassandra.You have experience with one or more higher-level JVM-based data processing frameworks such as Beam, Dataflow, Crunch, Scalding, Storm, Spark, or something we didn’t list- but not just Pig/Hive/BigQuery/other SQL-like abstractionsYou are knowledgeable about data modeling, data access, and data storage techniques.You care about agile software processes, data-driven development, reliability, and responsible experimentation.You understand the value of collaboration and partnership within teams.
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 brilliant. 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 opportunity to enjoy and be inspired by 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 271 million users.