Data Engineer - Premium Analytics en Spotify

We’re looking for an experienced Data Engineer with a strong data/ETL backbone to help shape the core datasets that power how we understand our business. You’ll join a tight‑knit crew of analytics/data engineers, building robust, scalable pipelines and data models within a very large data ecosystem. You’ll collaborate with data producers and consumers company‑wide and co‑own the technical architecture and roadmap of our data platform. We lean heavily on Scio (the Scala API for Apache Beam), BigQuery and dbt to solve big, complex data problems across domains—and you’ll be at the center of it.

What You’ll Do

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Who You Are

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Where You'll Be

This role is based in [ADD CITY]

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.

[OPTIONAL if office mix is required] We ask that you come in X times per week

[Add the this line for J-K Junior Roles] We ask that you come in 3 times per week.

What You'll Do

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.

Who You Are

3+ years of hands‑on data, insight, or analytics engineering experience, with proficiency in Scala or Java.

Comfortable working in cross‑functional teams with Data Engineers and Data Scientists.

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.

Collaborative, low‑ego, and invested in helping peers level up. You care about reliable pipelines, clear models, and measurable impact.

Where You'll Be

This role is based in New York City

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.

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