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Data Engineer - User Journey

extra holidays - extra parental leave
Remote: 
Hybrid
Contract: 
Full time
Experience: 
Mid-level (2-5 years)
Work from: 
London (GB), Stockholm (SE)

Offer summary

Qualifications:

Strong understanding of data systems, Experience with JVM-based data processing frameworks, Familiarity with Machine Learning concepts, Knowledge in Backend engineering, Experience with Scala and Java.

Key responsabilities:

  • Design and build data pipelines
  • Drive optimization and improve data quality
  • Mentor other engineers on best practices
  • Create standards and documentation
  • Collaborate with multi-functional teams
Spotify logo
Spotify Music XLarge https://www.lifeatspotify.com/
5001 - 10000 Employees
HQ: Stockholm
About Spotify
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 it. Spotify transformed music listening forever when it launched in Sweden in 2008. Discover, manage and share over 70m tracks for free, or upgrade to Spotify Premium to access exclusive features including offline mode, improved sound quality, and an ad-free music listening experience. Today, Spotify is the most popular global audio streaming service with 365m users, including 165m subscribers across 178 markets. We are the largest driver of revenue to the music business today.
See more Spotify offers

Job description

The Subscriptions 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 are looking for a passionate Data Engineer to help us accomplish our mission: to optimize the user journey to drive retention by educating, re-activating, and fostering long-term engagement among free and premium users.

You’ll be working on a set of Data and ML initiatives focused on improving free and premium retention, as well as designing, building and maintaining a diverse range of different data jobs, analytics of key metrics and feature sets for ML models.

What You'll Do
  • Design and build large-scale batch and real-time data pipelines with data processing frameworks like Scio, Dataflow and BigQuery
  • Help drive optimization, testing and tooling to improve data quality
  • Mentor and coach other engineers on data engineering best practices
  • Create, update and evangelize standards and documentation that improve the experience for people working with data at Spotify
  • Collaborate with other Data, Backend and Machine Learning engineers, data scientists and managers
  • Be a valued member of a multi-functional agile team that continuously experiments, iterates, and delivers on new product objectives

    • Who You Are
  • You have a strong understanding of data systems
  • You are knowledgeable and passionate about improving and building data platforms
  • You have experience with Backend engineering, or an interest in developing those skills
  • You are familiar with Machine Learning and would be interested in supporting the delivery of Machine Learning models into production
  • You are familiar with current engineering practices such as distributed architecture
  • You have experience with one or more higher-level JVM-based data processing frameworks such as Beam, Dataflow, Crunch, Scalding, Storm or Spark
  • You have experience working with Scala and Java. Python, Scio & Luigi would be an encouraged bonus
  • You are curious about new technologies and finding uses and insights for all types of data
  • You have the desire and ability to contribute across different disciplines

    • Where You'll Be
  • You'll be based in Stockholm, Sweden, or London, UK

    • Required profile

    Experience

    Level of experience: Mid-level (2-5 years)
    Industry :
    Music
    Spoken language(s):
    English
    Check out the description to know which languages are mandatory.

    Hard Skills

    Java (Programming Language)Machine LearningLuigi (Python Package)Data Pipeline ManagementInternal DocumentationData ProcessingAgile MethodologyData Quality AssessmentScala (Programming Language)Python (Programming Language)Front-End EngineeringData Engineering

    Other Skills

    • Collaboration
    • Mentorship
    Are you interested?

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