Autosøk

Senior Data Engineer

Ardoq

Grensen 9B, 0159 Oslo

Job Description

Senior Data Engineer

Building the data foundation that turns enterprise complexity into connected intelligence.

The Ardoq Story

Ardoq is one of Norway's most exciting scale-ups - a truly global company built out of Oslo. We are the AI-powered Enterprise Architecture platform that helps organizations understand, manage, and evolve their complex digital landscape. By providing a dynamic, collaborative digital twin of the business, we connect systems, people, and processes to drive better decision-making and accelerate digital transformation.

About the Role

Ardoq runs on data. The insights our customers rely on to make confident decisions are only as good as the systems behind them - and that's where you come in. As a Senior Data Engineer, you'll design and build the pipelines, models, and platforms that make analytics reliable, timely, and trustworthy across the business.

This is not a maintenance role. You'll operate across large, partially defined scopes, contributing to architectural decisions, driving down technical debt, and raising the standard of data engineering practice across the team.

What You'll Do

  • Design and implement scalable data pipelines that power analytics and business decision-making.
  • Improve data models, ingestion logic, and processing frameworks for performance and long-term maintainability.
  • Own the resolution of complex data quality and system-level issues.
  • Contribute to architectural discussions and help shape the future of Ardoq's data platform.
  • Drive down high-complexity technical debt in a way that builds sustainable scalability.
  • Ensure documentation is good enough that anyone on the team can contribute.
  • Help onboard and mentor newer engineers.

Why Ardoq?

We believe that high performance is powered by wellbeing. You'll have access to a competitive package that supports performance, wellbeing, and long-term success, including employee stock options, 25 days annual leave, enhanced parental leave, and a hybrid working policy.

Requirements

  • You have a proven track record in data engineering, ideally in a high-growth SaaS or tech environment.
  • You write clean, maintainable code and take pride in building reliable systems.
  • You are comfortable with ambiguity and capable of defining scope independently.
  • You possess strong collaboration skills, capable of translating technical complexity for non-engineering stakeholders.
  • You have experience embedding AI tools into your workflow to deliver better outcomes.

Skills

Data EngineeringData PipelinesData ModelingSystem ArchitectureTechnical Debt ManagementMentoringAI ToolsSaaS Infrastructure

Experience

senior

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