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, and capabilities needed to welcome a billion customers.
We’re looking for an Analytics Engineer II to join Spotify's Platform Central Data (PCD) squad, a cross-functional Data Engineering and Analytics Engineering team within the Platform Mission. You’ll help build and maintain trusted analytical models, metrics, and data products that power developer productivity, platform health, and leadership decision-making. Working closely with Data Engineers, Product, Engineering, and Platform partners, you’ll translate platform signals into reliable, well-modeled data assets that help Spotify ship faster and safer.
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
- Follow and contribute to data quality, testing, and documentation practices across the analytics layer
- Participate in a fair support rotation for key datasets, pipelines, and analytical products
Who You Are
- 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
Skills Required
- 2+ years of experience in analytics engineering, data engineering, or a related field
- Strong SQL skills and experience with data modeling
- Experience with dbt (or similar SQL-based transformation frameworks)
- Familiarity with cloud data warehouses such as BigQuery, Snowflake, Redshift, or Databricks SQL
- Comfortable working with BI/visualization tools such as Looker or Tableau
Spotify Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Spotify and has not been reviewed or approved by Spotify.
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Flexible Benefits — Employees consistently praise the total compensation package beyond base salary, highlighting a mix of RSUs, cash incentives, and stipends alongside core pay. The package is described as flexible and customizable through equity choices (e.g., RSUs, options, cash) that can be tailored for long-term wealth building.
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Leave & Time Off Breadth — Time-off offerings are repeatedly highlighted as substantial, including generous vacation, paid sick days, volunteer time, and flexible holidays. These policies are framed as a meaningful part of the overall rewards experience beyond salary.
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Healthcare Strength — Health coverage is portrayed as comprehensive, spanning medical, dental, vision, life insurance, disability coverage, and mental health support. Additional employer contributions to HSAs are cited as strengthening the overall health and wellness value proposition.
Spotify Insights
What We Do
Spotify transformed music listening forever when it launched in Sweden in 2008. Discover, manage and share over 50m tracks for free, or upgrade to Spotify Premium to access exclusive features including offline mode, improved sound quality, and an ad-free music listening experience.
