Backend Engineer - Data Platform

At Spotify, our data platform powers the insights behind 600+ million Monthly Active Users and supports over 8,000 employees worldwide. Processing over 2 petabytes of data daily, it’s the backbone of our mission to bring audio to the world. Without it, the music doesn’t play.

Imagine starting your day with Spotify, eager to dive into your refreshed Daylist, only to find it’s stuck in yesterday. That’s the kind of experience we strive to prevent, and you’ll help make sure we deliver on that promise.

We’re looking for a Backend Engineer to join our Data Quality and Observability team. You’ll work on innovative tools and scalable systems that empower data practitioners and developers to collaborate effectively, ensuring reliability and accuracy across Spotify’s data platform. Whether it’s building backend services, optimizing pipelines, or supporting teams in delivering insights, your contributions will directly impact the way the world experiences audio.

• Build and maintain backend services and data pipelines used by thousands of engineers and data practitioners.
• Participate in scaling systems while collaborating with teammates, stakeholders, and leaders.
• Gain hands-on experience in understanding user workflows to create tools that improve data quality, observability and reliability.
• Design and implement new AI integrations to power the future of data quality.
• Engage in hack days, hack weeks, and community events to learn, share, and grow.
• Contribute to a team culture that values respect, collaboration, and playfulness.
• Join a company that values innovation, iteration, and inclusivity, providing reasonable accommodations for those who need them.

• You enjoy breaking down complex technical problems and iterating quickly, taking ownership from ideation to production.
• Your skills include Java (or similar object-oriented programming language), and a strong understanding of systems design, data structures, and algorithms.
• Bonus: Experience with technologies such as Scala, Flyte, Apache Iceberg, Dataflow, Airflow or collaborating with data engineers to build impactful tools and pipelines.
• Bonus: Experience working in data quality or data monitoring using tools such as Great Expectations or SQL Soda, and with concepts such Counters or Data SLOs
• You are curious and customer-focused, excited to work closely with internal teams and open-source communities to build reliable solutions.
• You thrive in an environment where engineers are empowered to solve meaningful problems with autonomy.

• This role is based in Toronto, Canada.
• 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.