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Ardoq, Oslo-based, seeks a Senior Data Engineer to design and build data pipelines and platforms enabling reliable analytics across the business.
You’ll work across product, engineering, and analytics teams to evolve the data infrastructure in a fast-growing SaaS environment, mentoring newer engineers and shaping architecture while reducing technical debt.
Building the data foundation that turns enterprise complexity into connected intelligence.
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.
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.
You write clean, maintainable code and take genuine pride in building systems that others can rely on.
You're comfortable with ambiguity. When the scope isn't fully defined, you define it – and you bring colleagues with you.
You work across teams with ease, translating technical complexity into clear decisions for non‑engineering stakeholders.
You've embedded AI tools into how you work – not as an experiment, but as part of how you deliver better outcomes.
We live by three values – Bold, Caring, and Driven – that define how we work, how we treat each other, and how we win.
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.
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.
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.