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Senior Data Engineer - Data Platform

🕒 26 days ago
📍 🇬🇧 London - Hybrid🎸 Senior🛢️ Data Engineer💼 Full-Time
Data EngineeringJavaSQLBigquery
Apply Now

📜 Description

  • Collaborate with product and engineering teams to build and support critical data infrastructure and datasets.
  • Build systems that collect and process user behaviour data at scale.
  • Help power Spotify's personalization and recommendation systems.
  • Design and evolve data architectures that support high data volumes.
  • Improve the reliability, scalability, and usability of our data infrastructure.
  • Work across disciplines to solve complex data challenges.

🛠️ Requirements

  • You are an experienced Data Engineer, and proficient in backend development using Java.
  • You are comfortable working with large-scale datasets using SQL and platforms such as BigQuery.
  • You have experience with JVM-based data processing frameworks such as Flink, Beam, Dataflow, or Spark.
  • You are familiar with DevOps practices, cloud infrastructure, containerized applications, and Kubernetes fundamentals.
  • You have experience with data modeling and schema design.
  • You care about high-quality code and engineering practices such as continuous delivery and automated testing.
  • You value experimentation, iterative development, and collaborative software development practices.
  • You are comfortable navigating ambiguity and open-ended problems, using data and sound judgment to make decisions.
Full job description

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 infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers.

The Data Platform team develops and maintains the infrastructure that supports Spotify’s data ecosystem. Within Data Platform, the Data Collection product area builds infrastructure that makes it easier to collect and consume data at scale. You’ll join a team focused on making user behaviour data seamless and reliable for data teams across Spotify.

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.   At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.

What You'll Do

  • Collaborate with product and engineering teams to build and support critical data infrastructure and datasets.
  • Build systems that collect and process user behaviour data at scale.
  • Help power Spotify’s personalization and recommendation systems, as well as the tools teams use to build and test new features.
  • Design and evolve data architectures that support high data volumes and a broad range of internal users.
  • Improve the reliability, scalability, and usability of our data infrastructure.
  • Work across disciplines to solve complex data challenges and make an impact across Spotify.

    • Who You Are

  • You are an experienced Data Engineer, and proficient in backend development using Java.
  • You are comfortable working with large-scale datasets using SQL and platforms such as BigQuery.
  • You have experience with JVM-based data processing frameworks such as Flink, Beam, Dataflow, or Spark.
  • You are familiar with DevOps practices, cloud infrastructure, containerized applications, and Kubernetes fundamentals.
  • You have experience with data modeling and schema design.
  • You care about high-quality code and engineering practices such as continuous delivery and automated testing.
  • You value experimentation, iterative development, and collaborative software development practices.
  • You are comfortable navigating ambiguity and open-ended problems, using data and sound judgment to make decisions.

    • Where You'll Be

  • This role is based in London
  • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
    • Apply Now

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