Data Engineer
Arbetsgivare / Ort:Schibsted News Media AB / Stockholm
Omfattning / Varaktighet:Vanlig anställning / Tills vidare
Lönetyp: Fast månads- vecko- eller timlön
Ansök senast 2 januari (5 månader och 20 dagar kvar)
Publicerad: 2026-07-06
Källa: Arbetsförmedlingen
Om jobbet
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 roleWe'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 doCollaborate 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
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
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
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
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.
Arbetsgivare
Schibsted News Media AB
Kungsbron 13
11122 Stockholm
Webbplats: https://schibsted.teamtailor.com
Ansökan
Ansök senast 2 januari (5 månader och 20 dagar kvar)