Data Engineer — Build Scalable Data Products (Hybrid)

Schibsted; Stockholms kommun; Hybrid; SEK 750,000 - 950,000; Full time

Job summary

Schibsted is seeking a Data Engineer to join the Data Product Engineering team within its Data & AI organization. You will build reliable, well-governed data products used across Finance, HR, Product, and Subscriptions, collaborating with business teams to make data useful and trustworthy.

The role is based in Oslo or Stockholm with a hybrid setup; candidates must reside in Sweden or Norway and work from an office at least two days per week. Strong SQL, Python, and dbt experience are essential.

Qualifications

• 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 and solid understanding of data modeling, data warehousing, and data products that are useful, trustworthy and maintainable.
• Ability to write and debug SQL and Python at a strong professional level; AI-assisted tools welcome but not solely relied upon.
• Solid software engineering fundamentals in Python, including structuring maintainable applications and applying OO design where appropriate.
• Hands-on production experience with dbt and familiarity with Airflow, Snowflake, AWS, Terraform, Git, and related tooling.
• Comfort with pragmatic technical decisions in evolving environments where not everything is defined upfront.
• Focus on engineering quality, testing, documentation, observability, governance, and cost-efficient pipeline design.
• Clear communication with both technical and non-technical stakeholders.

Responsibilities

• Collaborate with stakeholders to translate business needs into pragmatic, well-scoped data solutions.
• Design, build, and maintain reliable pipelines and transformations in Snowflake, dbt, Airflow, and Python.
• Develop scalable data models that support analytics, reporting, and future AI use cases.
• Improve technical quality through testing, documentation, monitoring, and maintainable engineering practices.
• Contribute to good architectural and implementation decisions across the team.
• Contribute through code reviews, pairing, and knowledge sharing within the team.
• Work closely with adjacent platform and Data & AI teams to align on standards, dependencies, and shared ways of working.

Skills

SQL

Python

Data modeling

Data warehousing

dbt

Airflow

Snowflake

AWS

Terraform

Git

Testing

Documentation

CI/CD

Version control

Communication

Tools

Snowflake

dbt

Airflow

AWS

Terraform

Git

Job description

Schibsted is seeking a Data Engineer to join the Data Product Engineering team within its Data & AI organization. You will build reliable, well-governed data products used across Finance, HR, Product, and Subscriptions, collaborating with business teams to make data useful and trustworthy.

The role is based in Oslo or Stockholm with a hybrid setup; candidates must reside in Sweden or Norway and work from an office at least two days per week. Strong SQL, Python, and dbt experience are essential.