Data Engineer - Consumer Experience

Stockholm

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Spotify

Posted 1 month ago

Delivering the best Spotify experience possible. To as many people as possible. In as many moments as possible. That’s what the Experience team is all about. We use our deep understanding of consumer expectations to enrich the lives of millions of our users all over the world, bringing the music and audio they love to the devices, apps and platforms they use every day. Know what our users want? Join us and help Spotify give it to them. 
We are hiring data engineers who are very passionate about data to focus on building structured, high-quality data solutions. These solutions are used to evolve our products bringing better experiences to our 320+ million users and the global artist community alike. We are processing petabytes of data using tools such as BigQuery, Dataflow, Scio, a Scala API for Apache Beam.Telemetry is a data engineering team based in Stockholm and Gothenburg. We operate within the Core Experience group, whose focus is primarily on the mobile user experience. We work with large volumes of data generated from the frontend and backend and our focus is building high quality datasets that enable important insights to improve the overall user experience. 

What you'll do

  • Build large-scale data pipelines with data processing frameworks such as Scio, Spark on Google Cloud Platform and using Scala, Python and SQL
  • Write testable, efficient and reusable code while maximizing standard methodologies in continuous integration and delivery
  • Help drive optimization, testing, monitoring and tooling to improve data quality
  • Collaborate with other Software Engineers, ML Engineers, Data Scientists and other partners, tackling learning and leadership opportunities that will arise every single day
  • Contribute to modeling, crafting and maintaining data solutions to improve usability and accessibility to data
  • Work in an agile team to continuously experiment, iterate and deliver on new product objectives
  • Develop high quality datasets that power machine learning initiatives to improve the overall user experience

Who you are

  • You have some Data Engineering experience and you know how to work with high- volume, heterogeneous data, preferably with distributed systems such as Hadoop, BigTable, Cassandra in cloud environments like GCP, AWS or Azure
  • You have experience with one or more higher-level JVM-based data processing frameworks such as Beam, Dataflow, Crunch, Scalding, Storm, Spark, Flink, or something we didn’t list – but not just BigQuery, Pig, Hive or other SQL-like abstractions
  • You have worked with Kubernetes, Docker as well as Luigi, Airflow, or similar tools
  • You are familiar with data modelling concepts (conceptualizing schemas, using top-down and bottom-up methodologies) and are able to empathize with users trying to understand how to find and use data
  • You might have experience with data management, strategy or architecture in a high data demand organization or building multi-department data warehouses and data marts
  • You are passionate about crafting clean code and have experience in coding and building data pipelines while being pragmatic and understanding the tradeoffs between the perfect solution and a working solution
  • You care about agile software processes, reliability, and responsible experimentation
  • You understand the value of collaboration and partnership within teams and are comfortable working both independently and collaboratively (pairing and mobbing)
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 345 million users.
Job tags: Airflow AWS BigQuery Cassandra Distributed Systems Engineering Hadoop Kubernetes Machine Learning ML Python Scala Spark SQL
Job region(s): Europe
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