Senior Data Engineer

Job Description

At Schibsted, we are reimagining how data can enhance and personalize digital experiences. Our mission is to build a best-in-class data ecosystem that empowers product teams, strengthens user insights, and enables millions of people to connect with content that truly matters to them.

We are now hiring a Senior Data Engineer to join our User Data team. In this role, you will help shape the foundation of how we understand, engage, and support users across our products. You’ll work at the core of the data systems that power personalized recommendations, consent-based login flows, segmentation, experimentation, and more.

Based in Oslo, you will be part of a collaborative, impact-focused environment where data plays a critical role in shaping user journeys across the Nordics. You’ll collaborate closely with analysts, data scientists, engineers, and product managers to ensure our data infrastructure is scalable, privacy-conscious, and optimized for value creation.

What will you do in this role?

In this role, you will build and maintain scalable ETL/ELT pipelines, integrating diverse structured and unstructured data into consistent, high-quality systems such as data lakes or warehouses. Your work will enable key capabilities such as personalization, editorial insights, A/B testing, and audience engagement.

You will ensure trustworthy, consistent data across products by implementing and maintaining tracking and event pipelines. Working closely with analysts, data scientists, and product teams, you’ll deliver solutions aligned with business goals and support exploratory tasks to make data accessible through tools like Tableau, Amplitude, Kilkaya, and Streamlit.

You will also lead complex data architecture initiatives, contribute to team standards, and mentor other engineers.

Our tech stack:

Data & MLOps platform: AWS, Snowflake, Databricks
Transformation and orchestration: dbt, Airflow, Flyte
Containerization: Kubernetes, Docker
Programming and scripting: Python, SQL
Exploration and delivery: Tableau, Superset, Amplitude, Kilkaya

Who you are:

You’re independent, well-structured, and motivated by creating real impact. Operating confidently at the intersection of tech, product, business, and editorial, you naturally bring people, ideas, and data together. Your curiosity and strong business sense help you spot opportunities where data can unlock value, and you navigate complexity with clarity and transparency.

You’re a great fit for the role if you:

• have around five years of experience in professional software or data engineering,
• are proficient in Python,
• possess strong knowledge of SQL and data modeling in analytical environments,
• have hands-on experience building modern data pipelines and using contemporary data tooling,
• are familiar with MLOps frameworks such as dbt, Airflow, or Flyte,
• have worked with cloud infrastructure and Infrastructure as Code tools (e.g., Terraform),
• understand agile practices, software engineering best practices, version control, and CI/CD,
• and, as a bonus (but not a requirement), have experience with event data, editorial tools, or media analytics.

Your technical expertise supports your ability to drive business value, and your way of working is grounded in collaboration, transparency, and connecting teams and ideas.

Why we enjoy working here:

At Schibsted, we value openness, curiosity, and collaboration. You’ll join a diverse and inclusive workplace that encourages bold thinking and continuous learning. Our work directly supports public interest journalism, and we take that responsibility seriously.

Whether you’re enabling smarter content decisions, driving user personalization, or contributing to large-scale experimentation, your efforts will help shape the future of digital media in the Nordics.

You’ll be part of a collaborative, impact-driven team that works across technology, product, and editorial disciplines. We believe in structured yet flexible ways of working, balancing clear ownership with strong teamwork. Curiosity, openness, and a drive to create value through data are central to how we operate. We support each other, celebrate continuous learning, and are passionate about turning complex challenges into meaningful solutions for our users and brands. We work in a flat and open environment where ideas matter more than titles, and you’ll be surrounded by skilled, supportive colleagues who enjoy sharing knowledge and growing together.

Application process:Please apply by sharing your CV and a letter of motivation.
Candidate selection will take place on an ongoing basis throughout the process.