Data Engineer - Platform Central Data

We’re looking for a mid-level Data Engineer to build data-driven engineering initiatives within Spotify’s Platform Mission on the Platform Central Data (PCD) squad, a mixed Data Engineering / Analytics Engineering team. You’ll design and operate reliable datasets and workflow automations that power developer productivity, platform health, leadership decision-making, and ML and AI Platform Metrics. Working shoulder to shoulder with our AE teammates, plus Product and Platform partners, you’ll turn complex platform signals into trusted, actionable data that helps Spotify ship faster and safer.

What You'll Do

• Build and operate reliable, well-modeled data pipelines and products using SQL, Python, and Scala, with strong testing, observability, and CI / CD. For distributed processing you will use Apache Spark or Scio, or equivalent technologies like Apache Beam or Flink.
• Partner in a mixed DE and AE squad to translate complex platform and developer experience use cases into trustworthy datasets, metrics, and ML and AI insights workflows.
• Improve data quality, performance, and cost efficiency across existing pipelines, including troubleshooting, backfills, and iterative hardening.
• Collaborate with Product, Engineering, and Data Science partners to deliver end to end outcomes, from scoping and modeling to rollout and documentation.
• Contribute to agile rituals and take part in a fair support rotation for key pipelines and datasets.

Who You Are

Where You'll Be

The Canadian base range for this position is 94,821 - 135,458 plus equity.