Senior Data Engineer
About this role
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 Senior Data Engineer who wants to help shape reliable, scalable, and well-governed data products used across our media brands.
In this role, you will work in the intersection of data engineering, analytics engineering, and platform thinking. You will help us build trusted data models, improve how we work with data pipelines, and guide technical direction for a team working closely with stakeholders across Finance, HR, Product, Subscription, and other data & AI teams.
You will join the Data & AI organization, 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 can be both hands-on and guiding. You do not need to be the loudest person in the room, but you should be able to create clarity, make pragmatic technical decisions, and help other engineers grow.
You will play a key role in shaping how we build data as a product. This includes creating data models that are reliable, well-documented, and designed for real use cases, not just pipelines that move data.
As a senior member of the team, you will also help create good engineering practices, mentor more junior engineers, and collaborate closely with adjacent teams working on data platforms and shared tooling.
Responsibilities
- Collaborate closely with stakeholders to understand needs, clarify tradeoffs, and deliver pragmatic solutions
- Design, build, and maintain robust data pipelines using technologies such as Snowflake, dbt, and Airflow
- Develop scalable and maintainable data models that support analytics, reporting, and AI use cases
- Help define best practices for data modeling, transformation, testing, documentation, and governance
- Mentor junior engi