Description
Schibsted is hiring a Data Engineer for its Data Product Engineering team to build reliable, well-governed, and scalable data products. The role involves designing data models, building and maintaining Snowflake, dbt, Airflow, and Python pipelines, improving pipeline reliability and technical quality, and collaborating with technical and non-technical stakeholders. Candidates need at least four years of data engineering or closely related experience, strong SQL and Python skills, and hands-on production experience with dbt and the listed data-platform tools. The position is based in Oslo or Stockholm, requires candidates to reside in Sweden or Norway, and uses a hybrid arrangement with at least two days per week in an office.
