🛠 Tech Stack

💼 About This Role

You'll build and maintain trusted analytical data models for the Platform Central Data squad at Spotify, translating platform signals into reliable data assets that power developer productivity and leadership decision-making. You'll partner closely with Data Engineers, Product, and Engineering to help Spotify ship faster and safer. This role offers the chance to work on cutting-edge data infrastructure at a global scale.

🎯 What You'll Do

• Build analytical data models using dbt in BigQuery for stakeholders.
• Operate reliable data pipelines with focus on testing and CI/CD.
• Define key metrics for platform health and developer productivity.
• Contribute to dashboards and self-serve data products.

📋 Requirements

• 2+ years in analytics engineering or data engineering.
• Strong SQL skills and experience with data modelling.
• Experience with dbt and a cloud data warehouse like BigQuery.
• Familiarity with workflow orchestration tools like Airflow.

✨ Nice to Have

• Experience with platform or developer productivity data.
• Experience with experimentation or ML/AI metrics.
• Familiarity with Looker or Tableau.

🎁 Benefits & Perks

• 🏖️ Flexible work from home and office hybrid model.
• 🌍 Global impact working on infrastructure for a billion users.
• 📈 Growth opportunities in data engineering and analytics.
• 🎵 Spotify Premium subscription.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min