Senior Data Engineer

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.

Today, we help some of the world's most complex organizations - including ExxonMobil and British Telecom - gain clarity in a

changing world. We are backed by leading global tech investors, including EQT and One Peak, giving us the stability of a mature

company with the speed and soul of a startup.

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. You'll work closely with

product, engineering, and analytics colleagues to ensure data infrastructure keeps pace with Ardoq's growth.

Review an ingestion pipeline that's behaving unexpectedly, trace it back to a schema mismatch introduced two sprints ago, and

propose a fix that also hardens the system against the next edge case. In the afternoon, you'll join a cross-functional session

with the analytics team to align on how a new data source should be modelled, then spend an hour improving shared documentation so

the next engineer doesn't have to figure it out from scratch.

We're looking for someone who combines deep technical craft with the judgment to make the right call when the data is incomplete

and the stakes are real.

• The Experience: You have a proven track record in data engineering, ideally in a high-growth SaaS or tech environment where the

systems you built needed to scale.

• The Mindset: You're comfortable with ambiguity. When the scope isn't fully defined, you define it - and you bring colleagues

with you.

• The Collaborator: You work across teams with ease, translating technical complexity into clear decisions for non-engineering

stakeholders.

• The AI Practitioner: You've embedded AI tools into how you work - not as an experiment, but as part of how you deliver better

outcomes.

• BOLD: We continuously raise the bar for ourselves and each other, starting from a place of 'what if I could?' We act

decisively, even when information isn't complete, and choose forward motion and learning over waiting for the perfect answer.

• CARING: We care enough to be candid. That means delivering direct, kind, and timely feedback that helps our teammates grow. We

operate as one team - sharing knowledge openly, celebrating each other's wins, and putting collective success ahead of

individual recognition.

• DRIVEN: At Ardoq, everyone has a stake in the outcome - including stock options. We act like owners: measuring success by

impact rather than effort, saying 'no' to distractions, and staying focused on the highest-value work at pace.

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.

At Ardoq, every teammate has a voice. Whether you're deep in a pipeline at 11am or presenting a system design to the VP of

Engineering, you'll not only belong - you'll shape, build, and make complexity meaningful.