Cognite

Industrial Digitalization

DataEngineeringManager

$950–1400k ~AI est. Oslo, Norway
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“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.

Industrial Digitalization
Problems you'll solve

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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