Analytics and Data Engineer

About Schibsted Marketing Services Schibsted Marketing Services is Schibsted´s advertising organization, representing some of the strongest news brands in Norway and Sweden - like VG, Aftonbladet, Aftenposten and SvD. Advertising plays a central role in funding independent news media, and affiliate marketing is a growing component of our advertising revenue. We are currently increasing our focus on affiliate marketing and ecommerce, and are looking for a analytics and data engineer to work on performance data pipeline and analytics.

Affiliate is a cross brand initiative in Schibsted for monetization across most of our brands in Norway and Sweden. About the Role As an Analytics and Data Engineer on Affiliate your task is to define data structures and pipelines that fuels reporting, ad hoc analytics as well as content distribution and content ranking. For the right profile working on statistical models for estimation and forecasting of expected revenue of click or article view can be a part of the scope.

This role will involve a lot of content data and unique problem solving associated with that. One example of this is setting up content databases and integrations for current offers, setting up integrations for our front ends and interacting with our ranking technologies. Most of the data will flow to or from known standard integrations (Snowflake, Postgres, S3, REST APIs etc), but some data ingestion might involve web crawling and use LLMs for classification.

For data exports setting up and maintaining internal APIs might be necessary. You will work within Ads Data Capabilities and work closely with the affiliate team and with other data teams in Schibsted. In this role, you will Develop data pipelines for revenue, click and content data for affiliate Own data products for affiliate data, as well as semantic layers Collaborate with our data teams to ensure affiliate distribution gets powered by the data available within Schibsted Collaborate with our data teams to ensure all advertising can be powered with data generated by affiliate initiatives Our typical stack We expect most of the work to be on select technologies already widely used in Schibsted: Snowflake DBT Sanity (as content database) Airflow Spark AWS RDS (PostgreSQL) We encourage agentic engineering and integrating AI tools into your development workflow.

Requirements A degree in computer science, data engineering or similar 3+ years of experience in data engineering, analytics engineering or a closely related field High level proficiency in Python and SQL Hands on experience with the technologies in our stack or similar technologies Knowledge and further curiosity about agentic engineering and AI tooling for coding Norwegian work permit Valued skills and experience Fluency in a Scandinavian language Experience with performance marketing or other advertising technologies Experience from media or advertising industry Proficiency in other programming languages such as Java, Scala or Go Apply for this position by sharing your CV with us and a few lines about what you like working on.

Interviews will take place on an ongoing basis. CV and application text can be in English or any of the Scandinavian languages.