Data Engineer, Affiliate Analytics & Revenue Pipelines

Schibsted Media AS; Oslo fylke; On-site; NOK 750,000 - 1,100,000; Full time

Job summary

Schibsted Marketing Services in Norway is seeking an Analytics and Data Engineer to define data structures and pipelines that fuel reporting, ad hoc analytics, content distribution and ranking for Affiliate across Schibsted brands.

You will work with Snowflake, DBT, Sanity, Airflow, Spark and AWS RDS, building data products and semantic layers, collaborating with our data teams to empower affiliate distribution and advertising with reliable data.

Qualifications

• 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 curiosity about agentic engineering and AI tooling for coding.
• Norwegian work permit.

Responsibilities

• 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.

Skills

Python

SQL

Data engineering

Analytics engineering

AI tooling

Education

Degree in computer science or data engineering

Tools

Snowflake

DBT

Sanity

Airflow

Spark

AWS RDS (PostgreSQL)

Job description

Schibsted Marketing Services in Norway is seeking an Analytics and Data Engineer to define data structures and pipelines that fuel reporting, ad hoc analytics, content distribution and ranking for Affiliate across Schibsted brands.

You will work with Snowflake, DBT, Sanity, Airflow, Spark and AWS RDS, building data products and semantic layers, collaborating with our data teams to empower affiliate distribution and advertising with reliable data.