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Data Engineer

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. 


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 looking for an engaged and enthusiastic Data Engineer to join our Experience Mission department.


Our teams are responsible for all of Spotify’s consumer experiences across our mobile apps as well as platforms like desktop, web, TVs, smart speakers, cars, wearables, and partner application integrations to make Spotify available wherever our users are. 


We are hiring data engineers who are passionate about data to focus on building structured, high-quality data solutions. These solutions will be used to evolve our products bringing better experiences to Spotify users and the global artist community alike. We are processing petabytes of data using tools such as BigQuery, Dataflow and Pub/Sub. When needed, we also develop our own data tooling such as Scio, a Scala API for Apache Beam. Furthermore we use Google's Machine Learning stack with Tensorflow and Kubeflow at the heart of our ML systems.


What you'll do

  • Explore new ways of producing, processing, and analysing data in order to gain insights into both our users and our product features
  • Work with state-of-the-art data processing frameworks, technologies, and platforms
  • Improve data quality through testing, tooling and continuously evaluating performance
  • Work with other software engineers, data analysts, data scientists, and decision-makers, such as product owners, to build solutions and gain novel insights
  • Act as the link between our backend and analysts and work on data cataloguing/management and build/maintain crucial data pipelines
  • Work in multi-functional teams with end-to-end responsibility for product development and delivery within your mission


Who you are

  • You have extensive experience in Data Engineering
  • You care about agile software processes, evidence-based development, reliability, and responsible experimentation
  • You are passionate about crafting clean code and have a steady foundation in coding and building data pipelines
  • You love visualising your data findings in a clear and easy to understand way and to collect corner cases of implementations
  • You are interested in being the glue between engineering and analysis


Where you'll be

  • We are a distributed workforce enabling our band members to find a work mode that is best for them
  • Where in the world? For this role, it can be within the EMEA region in which we have a work location and is within working hours
  • Working hours? We operate within the Central European and GMT time zones for collaboration and ask that all be located that time zone
  • Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here


Spotify is an equal opportunity employer. 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.

Company

Spotify

Location

Stockholm, SwedenOnsite

Job type

Full-Time

Category

Data Engineering

Tags

BigQueryData pipelinesEngineeringMachine Learning
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