Proven track record in data engineering, ideally in a high-growth SaaS or tech environment with scalable systems.
Clean, maintainable code and pride in building reliable data infrastructure.
Comfortable with ambiguity; able to define scope and bring others along.
Able to translate technical complexity for non-engineering stakeholders and collaborate across teams.
Experience embedding AI tools into workflows to improve outcomes.
Employee Stock Options
25 days annual leave
Enhanced parental leave
Retirement and insurance benefits (travel, health, disability, life)
Annual learning budget
Hybrid working policy: 2-3 days per week in Oslo office

Competitive package

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Design and implement scalable data pipelines powering analytics and decision-making.

Improve data models, ingestion logic, and processing frameworks for performance and maintainability.

Resolve complex data quality and system-level issues with root-cause analysis and fixes.

Contribute to architectural discussions and shape the future of Ardoq's data platform.

Reduce high-complexity technical debt to enable sustainable scalability.

Mentor and onboard newer engineers to raise the team's capability.

Proven track record in data engineering, ideally in a high-growth SaaS or tech environment with scalable systems.
Clean, maintainable code and pride in building reliable data infrastructure.
Comfortable with ambiguity; able to define scope and bring others along.
Able to translate technical complexity for non-engineering stakeholders and collaborate across teams.
Experience embedding AI tools into workflows to improve outcomes.
Employee Stock Options
25 days annual leave
Enhanced parental leave
Retirement and insurance benefits (travel, health, disability, life)
Annual learning budget
Hybrid working policy: 2-3 days per week in Oslo office