Spotify is looking for an experienced Data Engineer to help shape the core datasets that power how the company understands its business, define datasets and models that inform high impact business decisions, and make data easy to trust, find, and use.
Requirements
- 3+ years of hands‑on data, insight, or analytics engineering experience, with proficiency in Scala or Java.
- Practical experience with hands-on data processing frameworks (e.g., Apache Beam or MapReduce).
- Strong SQL fundamentals and experience with cloud data warehouses—ideally BigQuery—for data validation, exploration, and distribution to analytics teams.
Responsibilities
- Build, own, and operate pipelines that generate foundational datasets used by hundreds of downstream users at Spotify.
- Evolve the end‑to‑end technical architecture of our data platform—driving decisions on modeling, orchestration, reliability, and cost.
- Design new, trustworthy datasets from a complex upstream ecosystem—partnering closely with other data/analytics engineers and data scientists to define clear contracts and representations.
- Raise the bar on engineering practices: CI/CD, automated testing, data quality checks, optimization, observability, documentation, and discoverability.
- Mentor teammates—sharing context, actively reviewing code and designs, and helping the team grow its technical depth.
Other
- Comfortable working in cross‑functional teams with Data Engineers and Data Scientists.
- Collaborative, low‑ego, and invested in helping peers level up.
- You care about reliable pipelines, clear models, and measurable impact.
- This role can be based in New York City OR Stockholm
- 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.
