Spotify23h ago

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Analytics Engineer II

StockholmPermanentmid

Data EngineerData

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Quick Summary

Overview

Mission Statement 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.

Technical Tools

Data EngineerData

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.

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

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

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.

Location & Eligibility

Where is the job

Stockholm

Hybrid — some on-site time required

Who can apply

Same as job location

Listing Details

Posted: May 13, 2026
First seen: May 14, 2026
Last seen: May 14, 2026

Posting Health

Days active: 0
Repost count: 0
Trust Level: 70%
Scored at: May 14, 2026

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Spotify

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Our mission is to unlock the potential of human creativity—by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by it.

Employees

3k+

Founded

2006

Domain

Jobs

External application · ~5 min on Spotify's site

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