Analytics & Data Engineer — Revenue-Impact Pipelines

Schibsted; Oslo fylke; On-site; NOK 900,000 - 1,200,000; Full time

Job summary

Schibsted Marketing Services is seeking an Analytics and Data Engineer to define data structures and pipelines fueling reporting, analytics, content distribution and ranking. The role involves working with affiliate and revenue data, and may include developing statistical models for revenue estimation.

You will handle data across Snowflake, Postgres, S3 and REST APIs, with potential use of LLMs for classification and AI tooling integrated into the development workflow.

Qualifications

• Requires a degree in computer science, data engineering or similar.
• 3+ years in data engineering, analytics engineering or related field.
• High level proficiency in Python and SQL.
• Hands-on with technologies in our stack or similar.
• Interest in agentic engineering and AI tooling for coding.

Responsibilities

• Develop data pipelines for revenue, click and content data for affiliate.
• Own data products for affiliate data and semantic layers.
• Collaborate with data teams to power affiliate distribution with Schibsted data.
• Collaborate to ensure all advertising can be powered with data from affiliate initiatives.

Skills

Python

SQL

Data engineering

Analytics engineering

Education

Degree in computer science / data engineering

Tools

Snowflake

DBT

Sanity

Airflow

Spark

PostgreSQL / AWS RDS

Job description

Schibsted Marketing Services is seeking an Analytics and Data Engineer to define data structures and pipelines fueling reporting, analytics, content distribution and ranking. The role involves working with affiliate and revenue data, and may include developing statistical models for revenue estimation.

You will handle data across Snowflake, Postgres, S3 and REST APIs, with potential use of LLMs for classification and AI tooling integrated into the development workflow.