Analytics Engineer II

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

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.