Data Engineer - Freemium

Stockholm

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Spotify

We grow and develop and make wonderful things happen together every day. It doesn't matter who you are, where you come from, what you look like, or what music you love. Join the band!

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The Freemium R&D team oversees the entire user journey on Spotify and ensures we engage with people in innovative ways, every step of the way. Our team grows Spotify’s audience by finding future listeners around the world and delivering the right value to them, at the right time. With research, product development, product design, engineering, and marketing all collaborating in one organization, we’re able to quickly create meaningful features and services for millions of people around the world, resulting in joyful, long-lasting relationships with Spotify.
We're looking for a Data Engineer to join our engineering organisation within the Freemium R&D mission. As a Data Engineer in one of our teams, you will also take on complex data-related problems using some of the most diverse datasets available — user behaviour, 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 audio.

What you'll do

  • Build large-scale batch and real-time data pipelines with data processing frameworks like Scio, Storm, Spark on Google Cloud Platform.
  • Demonstrate standard methodologies 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 partners, taking on learning and leadership opportunities that will arise every day.
  • Work in multi-functional agile teams to continuously experiment, iterate and deliver on new product objectives.

Who you are

  • You have 3+ years experience in Data Engineering and you know how to work with high volume heterogeneous data, preferably with distributed systems such as Hadoop, BigTable, and Cassandra.
  • You are experienced in 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 abstractions
  • You are knowledgeable about data modeling, data access, and data storage techniques
  • You care about and have experience with agile software processes, data-driven development, reliability, and responsible experimentation
  • You are have an interest in digital marketing and are curious about learning new business domains
  • You understand the value of collaboration and partnership within a team

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
  • 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.
  • Working hours? We operate within the Central European time zone for collaboration
  • We ask that our team members be located within Greenwich Mean time zone, Central European time zone, or Eastern European standard time zone for the purposes of our collaboration hours
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 381 million users

Tags: Agile BigQuery Cassandra Dataflow Data pipelines Distributed Systems Engineering Google Cloud Hadoop ML R R&D Research Spark SQL Streaming Testing

Perks/benefits: Career development

Region: Europe
Country: Sweden
Job stats:  5  0  0
Category: Engineering Jobs

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