Develop and maintain end-to-end data flows, connecting sources, and modeling data to ensure seamless integration.
Develop and maintain optimal data models for all layers of data maturity within the analytical data warehouse.
Ensure all DAGs and data flows operate correctly within SLAs; perform debugging and troubleshooting as needed.
Optimize the performance and operational costs of the analytics data platform while ensuring high data integrity.
Act as a bridge between different teams to understand their needs and translate them into technical solutions.

2+ years of experience as an Analytics Engineer, Data Engineer, or similar role.
Proficiency in SQL and Python.
Data modeling experience preferably with dimensional modeling and / or DataVault.
Hands-on experience with a cloud-based data platform (e.g. Google Cloud or similar).
Proactive learner and collaborative team member.
Hands-on experience with dbt, terraform, Airflow, data ingestion process (e.g. pub/sub, datastream/API, etc.), BI tools such as (e.g. tableau, ThoughtSpot, etc.) are a plus.

30 vacation days (+ 3 additional squeeze days).
A pension and insurance plan that mimics ITP1 and a parental pay top-up @90%.
Health allowance at 5000 SEK per year.
Hybrid working model
combine WFH and being together with the team at our new office located right amidst Södermalm GameDev cluster (Magnus Ladulåsgatan 65).
Fitness discount of 18% at SATS gym + company workout classes.
A dog room at the office! Bring your furry friend to work!

Analytics Engineer

Key skills