Data Engineer – Platform

Spotify; Deutschland; Vor Ort; EUR 64.310 - 91.871; Vollzeit

Zusammenfassung

Spotify’s Data Infrastructure team is seeking a data engineer to help build large-scale batch and real-time data processing tools on Google Cloud Platform, improving developer experience and standardizing workflows.

You will collaborate with product owners, engineers, and cross-functional squads to deliver impactful features across the data ecosystem, while expanding and evolving Spotify’s data platform to meet growing business needs and support AI-enabled data workflows.

Qualifikationen

• 3+ years of experience in data engineering or a related field.
• Experience building and maintaining data pipelines using modern programming languages.
• Strong understanding of systems design, data structures, and scalable architectures.
• Comfortable working with high-volume, heterogeneous datasets in distributed cloud environments.
• Experience with Python or JVM-based data processing frameworks such as Spark, Flink, or Dataflow.
• Care about developer experience and building tools that help others move faster.
• Solid engineering practices like continuous delivery, testing, and writing maintainable code.
• Curious about emerging technologies, including AI and agent-based systems, and how they can improve data workflows.

Aufgaben

• Build large-scale batch and real-time data processing tools on Google Cloud Platform, improving developer experience and standardizing workflows.
• Collaborate with product owners, engineers, and cross-functional squads to deliver impactful features across the data ecosystem.
• Expand and evolve Spotify’s data processing platform to meet growing and changing business needs.
• Improve the experience for data practitioners by driving best practices, tooling, and standardization across the ecosystem.
• Contribute to the evolution of a unified data platform, including efforts toward a data monorepo.
• Support the development of systems that enable AI agents to effectively interact with and leverage data infrastructure.

Kenntnisse

Data pipelines

Python/JVM data processing

Distributed systems

Spark/Flink/Dataflow

Developer experience tooling

Jobbeschreibung

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 Infrastructure product area sits at the heart of Spotify’s Platform mission, enabling teams across the company to solve complex data challenges at scale. We build the infrastructure and tooling that powers data pipelines used in some of Spotify’s most loved experiences, like Discover Weekly and Wrapped. As part of this team, you’ll collaborate with engineers across multiple squads to shape the future of data processing and developer experience at Spotify, especially as AI and intelligent agents become more central to how we work with data.

What You\'ll Do

• Build large-scale batch and real-time data processing tools on Google Cloud Platform, improving developer experience and standardizing workflows
• Collaborate with product owners, engineers, and cross-functional squads to deliver impactful features across the data ecosystem
• Expand and evolve Spotify’s data processing platform to meet growing and changing business needs
• Improve the experience for data practitioners by driving best practices, tooling, and standardization across the ecosystem
• Contribute to the evolution of a unified data platform, including efforts toward a data monorepo
• Support the development of systems that enable AI agents to effectively interact with and leverage data infrastructure

Who You Are

• You have 3+ years of experience working in data engineering or a related field
• You are experienced with building and maintaining data pipelines using modern programming languages
• You have a strong understanding of systems design, data structures, and scalable architectures
• You are comfortable working with high-volume, heterogeneous datasets in distributed cloud environments
• You have experience with Python or JVM-based data processing frameworks such as Spark, Flink, or Dataflow
• You care deeply about developer experience and enjoy building tools that help others move faster
• You apply solid engineering practices like continuous delivery, testing, and writing maintainable, high-quality code
• You are curious about emerging technologies, including AI and agent-based systems, and how they can improve data workflows

Where You\'ll Be

• This role is based in Toronto.
• We offer you the flexibility to work where you work best! There will be some in-person collaboration, and we expect you to be within a commutable distance to the office.

The Canada base range for this position is $103,321 – $147,602 CAD plus equity. Benefits available for this position include extended health and dental coverage, retirement savings plans, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, and other benefits in accordance with Canadian employment standards. These ranges and benefits may be modified in the future.

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.