Join the Data & AI journey at Schibsted Media

Data and AI are becoming increasingly important in how we build better products, support smarter decisions, and create value across Schibsted Media. We are looking for a Data Engineer who wants to help build reliable, scalable, and well-governed data products used across our media brands.

In this role, you will work at the intersection of data engineering, analytics engineering, and platform thinking. You will help us build trusted data models, improve data pipelines, and collaborate closely with stakeholders across Finance, HR, Product, Subscription, and other Data & AI teams.

You will join the Data & AI organization in the Data Product Engineering team, where we build data capabilities that help teams across Schibsted Media make better decisions, create trusted data products, and enable future AI use cases.

About the role

We are looking for someone who enjoys building solid data solutions and working closely with others to turn business needs into useful, maintainable data products. You will contribute to how we build data as a product, including creating data models that are reliable, well-documented, and designed for real use cases.

What you will do

• Collaborate with stakeholders to understand needs, clarify requirements, and deliver pragmatic data solutions.
• Design, build, and maintain data pipelines using technologies such as Snowflake, dbt, and Airflow.
• Develop maintainable data models that support analytics, reporting, and AI use cases.
• Contribute to good practices for data modeling, transformation, testing, documentation, and governance.
• Work with other Data & AI teams to align on platform capabilities, standards, and shared ways of working.
• Help improve reliability, performance, cost-efficiency, and scalability of our data solutions.
• Participate in code reviews, technical discussions, and continuous improvement of our ways of working.