Data Engineer

Stockholm

Applications have closed
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Spotify

Posted 1 month ago

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 320 million users.
The Platform department creates the technology ecosystem that enables Spotify to learn and deliver quickly, while safely and easily scaling to billion customers, and enabling our rapid employee growth around the globe. We love data and believe in a fair data driven engineering culture where we make decisions and products based on our customers demands. 
We are now looking for Data engineers to join a brand new data collection team in our platform. The mission of the team is to facilitate insights through end to end management of data, and hence providing other teams and stakeholders with excellent data quality to build their  knowledge on.The challenge includes making sure that we get the right information client side, ensuring the quality and consistency and delivery of said data, in order to efficiently make it available to consumers across the company.

What you'll do

  • Be part of a data engineering team dedicated to empower engineers across Spotify to work with data.
  • Take active part in discussions and knowledge sharing around metrics, SQL, data science and engineering in general
  • Work in multi-functional agile teams to continuously experiment, iterate and deliver on new product objectives.
  • Increase developer productivity by building innovative tools that reduce maintenance overhead of working with data pipelines and help increase platform reliability.
  • Develop in different technologies and languages ranging from Java and Scala to Python and optimizing SQL. 
  • Build large-scale batch and real-time data pipelines with data processing frameworks like Scio and the Google Cloud Platform.
  • Use best practices in continuous integration and delivery

Who you are

  • You have experience working with data engineering and a deep understanding of that problem space.
  • You know and care about sound engineering practices like continuous delivery, defensive programming and automated testing
  • You are comfortable working both independently and collaboratively (pairing and mobbing)
  • You are pragmatic and understand the tradeoffs between the perfect solution and a working solution.
  • You appreciate agile software processes, data-driven development, reliability, and responsible experimentation.


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 320 million users.
Job tags: Engineering Java Python Scala SQL
Job region(s): Europe