Data Engineer

Schibsted Stockholm, Stockholms lan, Sweden Publicerat 26 juni 2026

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<h2>Join the Data &amp; AI journey at Schibsted Media</h2>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 &amp; 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.<h2>About the role</h2>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.<h2>What you'll do</h2><ul><li>Collaborate with Data &amp; AI teams to understand platform needs and deliver scalable data solutions</li><li>Design, build, and improve shared data platform capabilities, developer tooling, data pipelines, and automation using technologies such as Snowflake, dbt, Airflow, and Python</li><li>Support and evolve our Privacy Compliance Platform, helping enable secure, compliant, and governed access to data across Schibsted Media</li><li>Deploy, maintain, and improve cloud infrastructure using Infrastructure as Code and modern automation practices</li><li>Improve reliability, observability, performance, cost-efficiency, and scalability of our data platform</li><li>Develop reusable templates, tooling, and documentation that enable self-service across Data &amp; AI teams</li><li>Develop maintainable data models that support analytics, reporting, and AI use cases</li><li>Contribute to good practices for data modeling, transformation, testing, documentation, and governance</li><li>Participate in code reviews, technical discussions, and continuous improvement of our ways of working</li><li>Contribute to a culture of ownership, learning, and collaboration</li></ul><h2>What we're looking for</h2><h3>Must have</h

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