The opportunity
The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks,…
What you'll do
Build and maintain analytical data models using dbt (or similar SQL-based: transformation frameworks) in BigQuery for a broad set of stakeholders
Build and operate reliable data pipelines using SQL, with a focus on testing, observability, and CI/CD
Help define and evolve key metrics for platform health, developer productivity, and ML/AI platform adoption
Partner with Data Engineers on upstream pipelines and collaborate with: Product, Engineering, and Data Science to scope and deliver insights
Improve data quality, performance, and cost efficiency across pipelines and: models, including troubleshooting and backfills
Contribute to dashboards and self-serve data products that enable better decision-making across teams
What they're looking for
- You have 2+ years of experience in analytics engineering, data engineering, or a related field
- You have strong SQL skills and experience with data modelling
- You are experienced with dbt (or similar SQL-based transformation frameworks): and a cloud data warehouse such as BigQuery, Snowflake, Redshift, or Databricks SQL
- You are familiar with workflow orchestration tools such as Airflow, Dagster, Prefect, or Flyte
- You care about data quality, reliability, and testability
- You are comfortable working with BI/visualisation tools such as Looker or Tableau
- You communicate clearly with both technical and non-technical partners
- You are able to prioritize and deliver in a fast-moving environment
