Analytics Engineer II

Spotify; Stockholms kommun; Hybrid; SEK 1,035,196 - 1,552,795; Full time

Job summary

Spotify is seeking an Analytics Engineer II to join the Platform Central Data (PCD) squad in a hybrid role based in London or Stockholm. You will build analytical data models, manage data pipelines, and define metrics to empower product and engineering decisions.

You will work with Data Engineers, Product, and Data Science to translate platform signals into reliable data assets, focusing on reliability, testability, and cost efficiency while enabling self-serve analytics across teams.

Qualifications

• 2+ years of experience in analytics engineering, data engineering, or a related field.
• Strong SQL skills and experience with data modelling.
• Experience with dbt (or similar SQL-based transformation frameworks).
• Experience with a cloud data warehouse such as BigQuery, Snowflake, Redshift, or Databricks SQL.
• Familiar with workflow orchestration tools such as Airflow, Dagster, Prefect, or Flyte.
• Care about data quality, reliability, and testability.
• Comfortable working with BI/visualisation tools such as Looker or Tableau.
• Excellent communication with technical and non-technical partners.
• Ability to prioritize and deliver in a fast-moving environment.
• Experience with platform or developer productivity data, experimentation, or ML/AI metrics.

Responsibilities

• Build and maintain analytical data models using dbt or similar SQL-based frameworks in BigQuery.
• Operate reliable data pipelines with emphasis on testing and CI/CD.
• Define and evolve metrics for platform health and developer productivity.
• Collaborate with Data Engineers, Product, Engineering and Data Science to deliver insights.
• Improve data quality, performance, and cost efficiency across pipelines and models.
• Contribute to dashboards and self-serve data products for cross-team decision-making.
• Support data quality, testing, and documentation practices across analytics.
• Participate in fairness support rotations for key datasets and pipelines.

Skills

SQL

Data modelling

Communication

Prioritization

Tools

BigQuery

Snowflake

Redshift

Databricks SQL

Airflow

Dagster

Prefect

Flyte

Looker

Tableau

Job description

Posted: 22.05.2026

Job reference: bcfdb7fe8a6289b0eed98711641cd595

Job information

Location

TN Sweden

Client / Employer

Spotify

Job reference

bcfdb7fe8a6289b0eed98711641cd595

Listing type

Basic

EU work permit required

No

Posted

22.05.2026

06.07.2026

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. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers. About the Team 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 BeThis 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.

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