Data Engineer

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're looking for a Data Engineer to join our Data Infrastructure team and help build the shared data platform that powers analytics and AI across Schibsted Media. Our team enables data teams to build trusted, scalable, and well-governed data products.

In this role, you will work at the intersection of data engineering and platform engineering. You'll help improve our data platform while also contributing to trusted data models, modern data pipelines, and engineering practices used across the organization. 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're looking for someone with 4+ years of experience who enjoys building solid data solutions while improving the shared data platform that enables teams across Schibsted Media.

You'll work with technologies such as Snowflake, dbt, Airflow, and Python to develop shared tooling, maintain platform capabilities, and contribute to modern data engineering practices.

You'll also help deploy and manage cloud infrastructure, automate operational tasks, and continuously improve the reliability and scalability of our platform. While prior infrastructure experience is a plus, we're looking for someone who is eager to learn and grow in this area.

What you'll do



Collaborate with Data & AI teams to understand platform needs and deliver scalable data solutions



Design, build, and improve shared data platform capabilities, developer tooling, data pipelines, and automation using technologies such as Snowflake, dbt, Airflow, and Python



Support and evolve our Privacy Compliance Platform, helping enable secure, compliant, and governed access to data across Schibsted Media



Deploy, maintain, and improve cloud infrastructure using Infrastructure as Code and modern automation practices



Improve reliability, observability, performance, cost-efficiency, and scalability of our data platform



Develop reusable templates, tooling, and documentation that enable self-service across Data & AI teams



Develop maintainable data models that support analytics, reporting, and AI use cases



Contribute to good practices for data modeling, transformation, testing, documentation, and governance



Participate in code reviews, technical discussions, and continuous improvement of our ways of working



Contribute to a culture of ownership, learning, and collaboration

What we're looking forMust have



4+ years of experience as a Data Engineer or similar role



Strong SQL skills and a good understanding of modern data warehousing concepts



Experience building data pipelines and working with orchestration tools such as Airflow or similar



Hands-on experience with dbt and modern data transformation practices



Experience with Python for data engineering or automation



Experience with Git and modern software engineering practices



Ability to take ownership of tasks and deliver maintainable solutions



Good communication skills and ability to work with both technical and non-technical stakeholders. English is our main working language.



Collaborative mindset and willingness to learn from and contribute to the team

Nice to have



Experience with software engineering practices such as automated testing, CI/CD, and code review workflows



Experience with Snowflake or similar cloud data platforms



Experience with Infrastructure as Code (Terraform or similar)



Experience with AWS, GCP, or Azure



Interest in data quality, observability, governance, or platform engineering

Why join us?



Build the platform that enables data and AI across Schibsted Media



Work with modern technologies and experienced engineers across multiple teams



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 premium media products, including news and podcasts

About you

You enjoy turning technical challenges into simple, maintainable solutions. You're passionate about improving the developer experience and building reusable solutions that help other engineers move faster. You care about building reliable systems, but also understand that great engineering is about collaboration, continuous improvement, and enabling others to succeed.

You're curious, take ownership of your work, and enjoy helping build the platform that supports trusted data products across Schibsted Media.