Spotify - Analytics Engineer II

• 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 • You have experience with platform or developer productivity data, experimentation, or ML/AI metrics • Where You'll Be • This role is based in London 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. • 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. • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice