Cognite
Industrial Digitalization
DataEngineeringManager
Neural analysis suggests this role is
optimal for Manager candidates.
“Data Engineering Manager at Cognite. Skills: Data Engineering, People Management, AI. Lead Data Engineers. Develop Data Engineers”
What You'll Achieve.
Unlock $100B customer value by 2035; Redefine global industry work
Industry & Context.
Operational judgement; Spotting risks
What They're Looking For.
Must Have
Production-grade Python, Production-grade SQL, Production-grade REST APIs, Cloud-native pipeline development, 1+ year Cognite platform experience, Direct customer delivery experience
Nice to Have
Formal people management experience, Informal people management experience, Tech lead experience, Structured mentorship programmes, Deep Cognite Data Fusion expertise, Data modelling, SDK development, AI/LLM integration patterns, Deployment packs, Value Delivery experience, Professional services experience, Familiarity with Cognite EDF, Track record of hiring
What You'll Do.
Develop Data Engineers
Retain Data Engineers
Deliver customer projects
Own professional development
Conduct performance reviews
Hold growth conversations
Provide technical coaching
Carry billable capacity
Review Statements of Work
Champion team interests
Match engineers to engagements
Act as escalation point
Standardise delivery practices
Drive consistency in design
Drive consistency in build
Drive consistency in documentation
Organise development sessions
Lead development sessions
Collect product feedback
Prioritise product feedback
Escalate product feedback
Define hiring standards
Model AI-first practices
Reinforce AI-first practices
Hold engineers to fluency expectations
Stay current on AI tooling
Bring AI knowledge to team
How You'll Work.
Team & Collaboration
Cross-functional leaders; Profession leadership team; Portfolio Managers
Communication Scope
Technical conversations; Business language translation; Manage expectations
Process & Methodology
Delivery Accountability
Full Job Description
What Cognite is: Relentless to achieve Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements. We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here. Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future. About the role Cognite's European Delivery organisation is growing in both scale and technical ambition. As Manager of Data Engineering, you will lead, develop, and retain a team of Data Engineers operating across some of the most complex industrial AI engagements in the market — ensuring they are technically strong, professionally developed, and set up to deliver at the standard our customers expect. This is not a pure people management role. You will carry a meaningful delivery commitment — approximately 50% billable capacity — working on customer projects alongside your team. Your credibility as a manager depends on being a practitioner: you need to understand the work at depth in order to coach it, assess it, and raise the bar on it. You will be part of the Value Delivery (VD) Europe profession leadership team and work closely with Portfolio Managers, and cross-functional leaders across Value Delivery. How you’ll demonstrate Ownership People Development & Performance Own the professional development of your Data Engineers spanning junior to seasoned Data Engineers, running structured 1:1s, calibrated performance reviews, and growth conversations grounded in the
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