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Job Description
Data Engineer in Data Product Engineering
Join our Data Product Engineering team within Schibsted's Data & AI organization, where we build reliable, well-governed, and scalable data products used across Finance, HR, Product, Subscription, and other parts of the business.
The Opportunity
We are looking for a Data Engineer to join our team in Oslo or Stockholm. You will be responsible for building data as a product, creating robust data models, and improving the reliability and scalability of our pipelines.
Core Tools and Practices
Our everyday toolkit includes SQL and Python as core languages, together with Snowflake, dbt, Airflow, AWS, Terraform, and Git, supported by solid engineering practices around testing, documentation, CI/CD, and version control.
What You Will Do
- Collaborate with stakeholders to translate business needs into pragmatic, well-scoped data solutions.
- Design, build, and maintain reliable pipelines and transformations in Snowflake, dbt, Airflow, and Python.
- Develop scalable data models that support analytics, reporting, and future AI use cases.
- Improve technical quality through testing, documentation, monitoring, and maintainable engineering practices.
- Contribute to good architectural and implementation decisions across the team.
- Contribute through code reviews, pairing, and knowledge sharing within the team.
Requirements
- You have 4+ years of experience in data engineering or a closely related role with a track record of building reliable data solutions.
- You possess strong SQL skills and a solid understanding of data modeling and data warehousing.
- You can write and debug Python at a strong professional level with an understanding of software engineering fundamentals.
- You have hands-on experience with dbt in production environments.
- You have a solid working knowledge of tools such as Airflow, Snowflake, AWS, Terraform, and Git.
- You are able to communicate clearly with both technical and non-technical stakeholders.
Skills
Experience
mid-level