Role overview
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
What you'll work on
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.
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.
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice
Tags & focus areas
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