Data Engineer - Financial Engineering

Job Overview  Join to apply for the  Data Engineer - Financial Engineering  role at  Spotify
We are looking for a mid-level Data Engineer to join Spotify’s Finance Engineering organization. The Crunch squad builds and operates data systems that power financial forecasting, performance analysis, and insights tooling across Spotify. The team owns key parts of forecast production, including statistical and machine learning models, data pipelines, measurement tooling, infrastructure, and integrations across forecasting systems. This is an engineering-first role with high expectations for data quality, reliability, and long-term maintainability.
What You'll Do   Work with modern data processing frameworks, platforms, and tooling (Python, Scala, Java, Scio, Flyte, Styx, DBT, etc. on GCP) to build, operate and own reliable data pipelines and systems that support financial forecasting and performance analysis
Take ownership of existing financial and forecasting datasets, evolving schemas and data models to support new features and analytical use cases while protecting downstream consumers
Partner closely with engineers, product managers, and finance stakeholders to translate forecasting, planning, and variance analysis needs into well-designed solutions
Help improve automated financial controls to ensure data quality and compliance across our systems while continuously evaluating performance
Work in cross-functional, agile teams with end-to-end responsibility for the evolution and operation of long‑lived data products
Who You Are   You have 3+ years of experience in building production-quality data solutions with complex business domain logic
You have 3+ years of experience using SQL and Python and are comfortable using data to troubleshoot issues and support business decision-making
You have experience owning data pipelines and datasets end-to-end, with accountability for maintainability, reliability, and safe evolution over time
You are a self-motivated contributor who can prioritize and deliver on projects while communicating effectively in a changing environment
You care deeply about data quality and have implemented monitoring, validation, and reliability best practices in real systems
You have experience working cross-functionally with engineers, product managers, and non-technical stakeholders
You value strong engineering practices, including testing, observability, and operational responsibility
Forecasting or Financial experience is a plus
Where You'll Be   This role is based in Toronto.
We offer flexibility to work where you work best! There will be some in‑person meetings, but still allows for flexibility to work from home.
The Canadian base range for this position is 94, CAD plus equity.
Seniority level  Mid-Senior level

Employment type

Full-time
Equal Opportunity  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.

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