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Tech Stack
Tools & technologiesAirflowSQL
About the role
Key responsibilities & impact- 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 engineers and support the team in making good technical decisions
- Work with adjacent Data & AI teams to align on platform capabilities, standards, and shared ways of working
- Improve reliability, performance, cost-efficiency, and scalability of our data solutions
- Contribute to a culture of ownership, learning, and continuous improvement
Requirements
What you’ll need- Solid experience as a Data Engineer or similar role
- Strong SQL skills and good understanding of data warehousing concepts
- Experience with data modeling and building data products for analytics or reporting
- Experience with modern data transformation and orchestration tools (e.g. dbt, Airflow or similar)
- Ability to take ownership and make pragmatic technical decisions in ambiguous and evolving environments
- Strong communication skills and ability to work with both technical and non-technical stakeholders.
- Collaborative mindset and ability to work well across teams
Benefits
Comp & perks- High ownership and influence in shaping technical direction and ways of working
- Opportunity to shape trusted data products with real impact across Schibsted Media
- Flexible working hours and hybrid work options with strong trust and autonomy
- International environment with offices in Oslo, Stockholm, and Krakow
- Strong learning culture with learning budget and active engineering & AI communities
- Access to Schibsted’s media products, including premium news and podcasts
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLdata modelingdata warehousingdata transformationdata orchestrationdata pipelinesanalyticsreportingAI use casestesting
Soft Skills
collaborationcommunicationownershipmentoringdecision makingcontinuous improvementadaptabilitystakeholder engagementteamworkpragmatism