Senior Data Engineer - User Fraud


Full Time Senior level / Expert
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Posted 1 month ago

We are looking for a Senior Data Engineer to join our User Fraud team! Our mission is to ensure the integrity of Spotify’s growth by building groundbreaking technical solutions processing billions of events in real-time.
A key component of our results-oriented goals is to detect, mitigate, and prevent unwanted behavior on our platform. You will join an experienced team of data, backend and client engineers that owns our core mitigation and prevention platform. We use state of the art data engineering and backend techniques to build a platform that can operate at a very high scale without compromising speed or accuracy. Working as a senior data engineer in the User Fraud area will challenge your design, quality, and problem-solving skills to build robust and scalable solutions.

Who you are

  • BS/MS in CS or other relevant fields of study
  • 3+ experience with designing and building highly scalable data solutions
  • Strong analytical and problem solving ability
  • Strong coding skills preferably in Scala, Java and Python
  • You have a basic understanding on building and operating cloud based services
  • Have worked in teams with both Data Engineers, Data Scientists and Backend Engineers
  • You have experience operating backend and/or data pipeline services, familiar with metrics and monitoring
  • You measure twice and cut once, placing a high emphasis on correctness
  • You are curious and passionate about learning new skills within other domains
  • You value building strong relationships with colleagues and multiple partners, and have the ability to explain complex topics in simple terms

What you'll do

  • Directly contribute to the design and architecture of Spotify's fraud mitigation platformBuild and maintain batch and streaming data pipelines for swift mitigation of unwanted behaviour
  • Tackle technical challenges that require you to move between data and backend engineering
  • Innovate our products to build a coherent portfolio of products which enables the User Fraud team to do their jobs, as well as serve partners throughout Spotify
  • Design and implement systems for mitigating abusive behaviour on our platform
  • Getting hands-on experience with Google Cloud Platform and technology/languages such as BigQuery, Scala, Scio, Luigi, Styx and Docker
  • Operate large scale real time and batch data pipelines and backend services
  • Understand use cases for abusive behaviour that enable teams to use our systems to integrate new detection methods, allowing for swift and correct mitigation.
  • Work closely with end-users and partners to understand, document, troubleshoot and analyze requirements for complex data solutions
  • Be a role model for engineering excellence and high-quality craftsmanship
  • Mentor other engineers to help them reach their full potential
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: BigQuery Engineering Java Python Scala
Job region(s): Europe
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