Data Engineering Leader

the team's growth areas and project landscape. Collect, prioritise, and escalate product feedback from your engineers and customers to the relevant internal teams. Lead or contribute to hiring for your team — define what good looks like for each level and bring that standard to interviews and onboarding. AI-First Leadership Model and reinforce AI-first delivery practices across your team — not as a policy, but as a standard of work. Hold your engineers to the AI fluency expectations defined in the EDF at each level: daily use, responsible validation, knowledge sharing, and continuous upskilling. Stay current on AI tooling relevant to industrial data engineering and bring that knowledge into your team's practice. What we are looking for Required Proven hands-on data engineering background — production-grade Python, SQL, REST APIs, and cloud-native pipeline development. You must be able to review your team's technical work and have credible technical conversations with customers. At least one year of meaningful association with Cognite's platform and products, with direct delivery experience on customer engagements. External candidates will not be considered for this role. Demonstrated ability to develop people — not just manage tasks. You have concrete examples of engineers you have helped grow, with specific feedback that changed how they work. Customer-facing confidence: you can hold a technical conversation with a senior customer stakeholder, translate engineering decisions into business language, and manage expectations under pressure. Strong operational judgement: you can read a SOW, spot a risk, and have a difficult conversation about scope before it becomes a delivery failure. Strong Advantage Formal or informal people management experience — direct reports, tech leads, or structured mentorship programmes. Deep Cognite Data Fusion expertise: data modelling, SDK development, AI/LLM integration patterns, deployment packs. Experience working in a Value Delivery or professional services environment where you were simultaneously accountable for delivery and team capability. Familiarity with Cognite's EDF and comfort using it as a coaching and calibration tool. Track record of hiring — you know what good looks like at different levels and you can articulate it clearly. How We Think About This Role The best candidate for this role is an E3 Data Engineer — or equivalent — who is ready to multiply their impact through others, not just through their own technical output. Technical credibility is the foundation. A manager who cannot assess their engineers' work, engage meaningfully in SOW reviews, or hold a technical conversation with a customer will lose

the team's respect quickly in this environment. People development is the job. The 50% delivery commitment is real — but the primary measure of success in this role is whether the Data Engineers on your team are growing, performing, and staying. Why This Role High visibility within Cognite's European Delivery organisation — direct line to VP Delivery Europe. Meaningful influence over how Data Engineering is practised and developed across VD Europe. Ownership of a team at a critical growth stage — the work you do here shapes the function for years. Part of a profession leadership team that is actively building something, not maintaining the status quo. Learn more

about us Impact 2025 Cognite's Industrial AI: Moonshot We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi. Equal Opportunity Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.

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