Senior Data Engineer - Cost Platform

The Platform team builds 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; crafting the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers. We are looking for a Senior Data Engineer to join the Cost Engineering Product Area, whose mission is to drive sustainability through cost and climate intelligence, amplifying Spotify's ability to deliver creativity to the world. Cost Engineering is responsible for optimizing the cost and carbon footprint of our infrastructure and software. Our team operates at the intersection of technology, product, procurement, and finance, making it one of the most As a Data Engineer in Cost Engineering, you’ll influence decisions that build Spotify’s technology and financial future. By crafting and implementing the data systems that power our cost practices, you’ll provide the foundations that enable us to optimize its cost and carbon footprint, enabling Spotify to grow sustainably while reducing our climate impact 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 Will Do Be responsible for the design, implementation, and evolution of scalable, reliable data infrastructure that underpins Spotify’s cost and carbon intelligence. Own end-to-end data pipelines for cloud cost, usage, and emissions data: spanning ingestion, transformation, modeling, and serving layers. Partner deeply with Data Scientists, Engineering, Finance, and Procurement to translate sophisticated analytical and business needs into robust data architectures. Set technical direction and standards for data modeling, orchestration, testing, and observability within the Cost Engineering domain. Build and maintain curated, analytics-ready datasets that power executive reporting, forecasting, and optimization initiatives. Ensure data accuracy, consistency, and timeliness for high-stakes cost and emissions reporting used to guide strategic infrastructure investments. Proactively identify opportunities to improve the scalability, reliability, and cost efficiency of the data platform itself. Mentor other engineers and act as a technical sounding board, raising the overall bar for data engineering perfection on the team. Work across all Missions at Spotify to embed cost and climate awareness into decision-making, with a focus on accurate attribution of spend and carbon impact. Who You Are A senior data engineer with a strong track record of owning and operating production-critical data systems end to end. Hold a degree in computer science, engineering, or a related technical field, or equivalent proven experience. Experienced in designing data architectures that scale with both data volume and organizational complexity. Comfortable leading technical discussions, influencing build decisions, and aligning partners around long-term solutions. Thrive in environments with evolving requirements, balancing speed of delivery with adaptability and correctness. Strong communicator who can explain sophisticated technical concepts clearly to both technical and non-technical audiences. Familiar with financial, billing, or usage data, and able to connect infrastructure metrics to real business and sustainability impact. Hands-on experience with cloud data platforms (GCP preferred). Highly proficient with Python, SQL, DBT, and modern orchestration frameworks and experienced with data quality and observability tooling. Experience with at least one data processing framework such as Spark, Flink, or Dataflow Where You Will Be This role is based in Toronto 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.

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