Senior Data Engineer – Platform Mission

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 Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the frameworks, capabilities and tools needed to welcome a billion customers. Join us and help to amplify productivity, quality and innovation across Spotify.
We are looking for a Senior Data Engineer with a strong infrastructure background to join our team that builds libraries, tooling, and the infrastructure that supports most of the data processing done at Spotify. We research and develop state of the art solutions, creating a robust and reliable platform that enables developers to solve complex technical challenges with the best user experience possible, enforcing standards and ensuring reliability and job efficiency. We do this by valuing open source, contributing to large open-source code bases while building the community around the projects that enable our platform.

What You'll Do

  • Help build out a new infrastructure offering to support executing thousands of data pipelines to run on Flink on Kubernetes (GKE)
  • Take an active part in the operational responsibilities for running our infrastructure
  • You will build up a new data platform, craft features, create and update standards and documentation that improve the experience for people working with data at Spotify
  • Work on scio, our open-source Scala API for Apache Beam and Google Dataflow, influencing it's API, providing support for additional IOs, improving support for different runners (Flink, Spark), and optimizing for job efficiency and stability
  • You will contribute features, build up the community and the exposure of several of our OSS projects, as well as engaging with Beam, Flink and other dependent OSS projects

Who You Are

  • You have experience working with data engineering and a deep understanding of the problem space
  • You have experience with JVM-based data processing frameworks such as Beam, Spark, and Flink. You understand their APIs and can debug their internals
  • You have experience working with Kubernetes (GKE)
  • You focus on developer experience and automation; always looking for ways to improve the developer experience for data practitioners and relentlessly automating the operation of routine tasks
  • You are comfortable with asynchronous communication, being able to work independently while always sharing context with your team members
  • You value open source, you understand the value of building up a community and contributing back

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 in 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.
Global COVID and Vaccination DisclosureSpotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: APIs Dataflow Data pipelines Engineering Flink Kubernetes Open Source Pipelines Research Scala Spark Streaming Testing

Perks/benefits: Career development

Region: Europe
Country: Sweden
Job stats:  3  0  0
Category: Engineering Jobs

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