3 months ago
Oslo, NorwayMid Level / Senior
Responsibilities
- 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 supporting analytics, reporting, and future AI use cases.
- Improve technical quality through testing, documentation, monitoring, observability, governance, and maintainable engineering practices.
- Contribute to architectural and implementation decisions across the team.
- Participate in code reviews, pairing, and knowledge sharing.
- Work with adjacent platform and Data & AI teams on standards, dependencies, and shared ways of working.
- Support both weekly rotation tasks and larger data engineering projects, taking the lead when appropriate.
Requirements
- Around 4+ years of experience in data engineering or a closely related role.
- A track record of building reliable data solutions in production environments.
- Strong SQL skills and solid understanding of data modeling and data warehousing.
- Strong professional-level ability to write and debug SQL and Python.
- Good Python software engineering fundamentals, including maintainable application structure and object-oriented design where appropriate.
- Hands-on production experience with dbt.
- Working knowledge of Snowflake, Airflow, AWS, Terraform, Git, and Python or similar tools.
- Ability to design useful, trustworthy, maintainable, and cost-efficient data products and pipelines.
- Ability to contribute to testing, documentation, monitoring, observability, governance, and engineering quality.
- Clear communication skills and ability to work effectively with technical and non-technical stakeholders.
- Comfort making pragmatic technical decisions when requirements evolve or are not fully defined.
- Willingness to collaborate, share knowledge, and continue developing data engineering skills.
Benefits
- Hybrid work based in Oslo or Stockholm, with residence in Sweden or Norway and at least two office days per week.
- Opportunity to help shape a relatively new Data Product Engineering team and its ways of working.
- Work on data products with visible impact across Product, Subscription, Finance, HR, and other business areas.
- International environment with trust, autonomy, engineering communities, and learning opportunities across Data & AI.
- Opportunity to support established Nordic media brands through improved data, analytics, and AI capabilities.
About Schibsted
Schibsted is a Nordic media company that publishes news and runs digital products in Norway and Sweden, including VG, Aftonbladet, Aftenposten, and Svenska Dagbladet. It earns revenue from reader subscriptions, advertising, and branded content across web, apps, and print. Founded in 1839 and headquartered in Oslo, the group recently separated its marketplace operations into Vend.