# Data Engineer in Data Product Engineering at Schibsted

Schibsted is hiring a Data Engineer in Data Product Engineering in Oslo and Stockholm. Level rates it Little AI ●○○○; you can [apply on Schibsted](https://jobsbylevel.com/go/63694daf-dbfd-4665-9c01-24b639809827?utm_medium=ai-agent).

AI Level 1, AI centrality 33 out of 100. Oslo, Norway | Stockholm, Sweden.

## Details

- Company: [Schibsted](https://jobsbylevel.com/companies/schibsted)
- AI level: AI Level 1 (score 33 out of 100)
- Location: Oslo, Norway | Stockholm, Sweden
- Posted: August 28, 2026
- Apply: https://jobsbylevel.com/go/63694daf-dbfd-4665-9c01-24b639809827?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=data-engineer-in-data-product-engineering-at-schibsted-3094a5

## Description

If you choose to apply, please read the job ad in full and include a short cover letter. We are most interested in hearing from the real you, so we encourage authentic applications written in your own words. The opportunity in a nutshell Interested in combining hands-on data engineering with close collaboration across the business? This role could be a good fit for someone with 4+ years of experience who enjoys building reliable data products and working with others to make them useful. Role : Join as a Data Engineer in our Data Product Engineering team within Schibsted's Data & AI organization, where we build reliable, well-governed, and scalable data products used across Finance, HR, Product, Subscription, and other parts of the business. Core tools and practices : Our everyday toolkit includes SQL and Python as core languages, together with Snowflake, dbt, Airflow, AWS, Terraform, and Git, supported by solid engineering practices around testing, documentation, CI/CD, and version control. Company : Schibsted is home to some of the most established and widely used media brands in the Nordics, including Aftenposten, VG, Svenska Dagbladet, Aftonbladet, E24, Bergens Tidende, and Stavanger Aftenblad. Across our broader Data & AI focus, data, analytics, and AI help us build better products, support smarter decisions, and create value across those newsrooms and businesses. Location : This role is based in Oslo or Stockholm. We work in a hybrid setup, which means this is not a fully remote role, and candidates need to reside in Sweden or Norway and be able to work from one of our offices at least 2 days a week. Why this role : You will join a relatively new team with room to contribute, learn, and help shape how we work as we continue to build trusted data products across Schibsted. Sounds like your kind of role? Read on Who are you? We are looking for someone with a solid foundation in data engineering who is also excited by the opportunity to keep learning, deepen their craft, and grow together with the team. You have around 4+ years of experience in data engineering or a closely related role, with a track record of building reliable data solutions in production environments. Strong SQL skills are important, along with a solid understanding of data modeling, data warehousing, and how to design data products that are useful, trustworthy, and maintainable. You can write and debug SQL and Python yourself at a strong professional level. AI-assisted tools are welcome, but this role requires solid enough fundamentals to solve everyday engineering problems without depending totally on them. On the Python side, we are looking for good software engineering fundamentals, including the ability to structure maintainable applications and apply object-oriented design principles where appropriate. You have hands-on experience with dbt in production environments and solid working knowledge of the wider toolkit we use, including Airflow, Snowflake, AWS, Terraform, Git, and Python and / or similar tools. You will likely enjoy this role if you are comfortable making pragmatic technical decisions in environments where requirements evolve and not everything is fully defined upfront. You care about engineering quality and can contribute to practices around testing, documentation, observability, governance, and cost-efficient pipeline design. Clear communication matters just as much as technical strength. We value people who can work well with both technical and non-technical stakeholders , explain tradeoffs clearly, and contribute positively to team collaboration and knowledge sharing. What's the job like? As a Data Engineer , your job is to help us build data as a product, not just pipelines that move data from one place to another. You will create robust data models, improve the reliability and scalability of our pipelines, and help shape the engineering practices that make our data products trusted and reusable across Schibsted Media. What you will

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/data-engineer-in-data-product-engineering-at-schibsted-3094a5

Source: https://jobsbylevel.com/jobs/data-engineer-in-data-product-engineering-at-schibsted-3094a5

## Cite this page

Level. https://jobsbylevel.com/jobs/data-engineer-in-data-product-engineering-at-schibsted-3094a5.

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