# Data Engineering Leader [Cognite](https://gurify.com/jobs?q=Cognite) · Amsterdam, Netherlands · Posted 5 weeks ago [Data](https://gurify.com/jobs/data) [Apply on the original posting → (opens in a new tab)](https://job-boards.eu.greenhouse.io/cognite/jobs/4913295101) ## 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 Data - Engineering framework. - Provide technically specific coaching — not generic management feedback. Your engineers should leave conversations with a clearer understanding of what good looks like and how to close the gap. - Identify and address skill gaps proactively, before they surface as delivery problems on customer engagements. - Build a team culture of ownership, technical rigour, and AI-first delivery — consistent with the behaviours defined in the EDF at every level ### Delivery Accountability - Carry approximately 50% billable capacity on customer projects — this is a firm expectation, not a stretch target. - Review Statements of Work (SOWs) before your engineers are committed to them: assess scope fit, identify skill gaps, and flag delivery risks before they become customer problems. - Champion your team's interests in staffing decisions — actively match engineers to engagements where they can deliver and grow, not just where there is a vacancy to fill. - Act as an escalation point when delivery gets hard. Be the steady hand, not a passive observer. ### Profession & Team Building - Contribute to standardising delivery practices across Value Delivery Europe — drive consistency in how we design, build, and document data engineering solutions. - Organise and lead professional development sessions relevant to 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. **Live in Cognite’s hiring system.** Read from the company's own applicant tracking system, not reposted from a job board — so it's a real, open requisition rather than an ad that outlived the role. 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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.\u003C/p\u003E\u003Cp\u003EWe thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you\u2019ll feel right at home here.\u003C/p\u003E\u003Cp\u003EOur 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.\u003C/p\u003E\u003Ch3\u003EAbout the role\u003C/h3\u003E\u003Cp\u003ECognite\u0026#39;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 \u2014 ensuring they are technically strong, professionally developed, and set up to deliver at the standard our customers expect.\u003C/p\u003E\u003Cp\u003EThis is not a pure people management role. You will carry a meaningful delivery commitment \u2014 approximately 50% billable capacity \u2014 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\u003Cbr /\u003Eraise the bar on it.\u003C/p\u003E\u003Cp\u003EYou 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.\u003C/p\u003E\u003Ch3\u003EHow you\u2019ll demonstrate Ownership\u003C/h3\u003E\u003Ch3\u003EPeople Development \u0026amp; Performance\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003EOwn 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 Data\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EEngineering framework.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EProvide technically specific coaching \u2014 not generic management feedback. Your engineers should leave conversations with a clearer understanding of what good looks like and how to close the gap.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EIdentify and address skill gaps proactively, before they surface as delivery problems on customer engagements.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EBuild a team culture of ownership, technical rigour, and AI-first delivery \u2014 consistent with the behaviours defined in the EDF at every level\u003C/li\u003E\u003C/ul\u003E\u003Ch3\u003EDelivery Accountability\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003ECarry approximately 50% billable capacity on customer projects \u2014 this is a firm expectation, not a stretch target.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EReview Statements of Work (SOWs) before your engineers are committed to them: assess scope fit, identify skill gaps, and flag delivery risks before they become customer problems.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EChampion your team\u0026#39;s interests in staffing decisions \u2014 actively match engineers to engagements where they can deliver and grow, not just where there is a vacancy to fill.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EAct as an escalation point when delivery gets hard. Be the steady hand, not a passive observer.\u003C/li\u003E\u003C/ul\u003E\u003Ch3\u003EProfession \u0026amp; Team Building\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003EContribute to standardising delivery practices across Value Delivery Europe \u2014 drive consistency in how we design, build, and document data engineering solutions.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EOrganise and lead professional development sessions relevant to the team\u0026#39;s growth areas and project landscape.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003ECollect, prioritise, and escalate product feedback from your engineers and customers to the relevant internal teams.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003ELead or contribute to hiring for your team \u2014 define what good looks like for each level and bring that standard to interviews and onboarding.\u003C/li\u003E\u003C/ul\u003E\u003Ch3\u003EAI-First Leadership\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003EModel and reinforce AI-first delivery practices across your team \u2014 not as a policy, but as a standard of work.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EHold your engineers to the AI fluency expectations defined in the EDF at each level: daily use, responsible validation, knowledge sharing, and continuous upskilling.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EStay current on AI tooling relevant to industrial data engineering and bring that knowledge into your team\u0026#39;s practice.\u003C/li\u003E\u003C/ul\u003E\u003Ch3\u003EWhat we are looking for\u003C/h3\u003E\u003Ch3\u003ERequired\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003EProven hands-on data engineering background \u2014 production-grade Python, SQL, REST APIs, and cloud-native pipeline development. You must be able to review your team\u0026#39;s technical work and have credible technical conversations with customers.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EAt least one year of meaningful association with Cognite\u0026#39;s platform and products, with direct delivery experience on customer engagements. External candidates will not be considered for this role.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EDemonstrated ability to develop people \u2014 not just manage tasks. You have concrete examples of engineers you have helped grow, with specific feedback that changed how they work.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003ECustomer-facing confidence: you can hold a technical conversation with a senior customer stakeholder, translate engineering decisions into business language, and manage expectations under pressure.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EStrong operational judgement: you can read a SOW, spot a risk, and have a difficult conversation about scope before it becomes a delivery failure.\u003C/li\u003E\u003C/ul\u003E\u003Ch3\u003EStrong Advantage\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003EFormal or informal people management experience \u2014 direct reports, tech leads, or structured mentorship programmes.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EDeep Cognite Data Fusion expertise: data modelling, SDK development, AI/LLM integration patterns, deployment packs.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EExperience working in a Value Delivery or professional services environment where you were simultaneously accountable for delivery and team capability. Familiarity with Cognite\u0026#39;s EDF and comfort using it as a coaching and calibration tool.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003ETrack record of hiring \u2014 you know what good looks like at different levels and you can articulate it clearly.\u003C/li\u003E\u003C/ul\u003E\u003Ch3\u003EHow We Think About This Role\u003C/h3\u003E\u003Cp\u003EThe best candidate for this role is an E3 Data Engineer \u2014 or equivalent \u2014 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\u0026#39; work, engage meaningfully in SOW reviews, or hold a technical conversation with a customer will lose the team\u0026#39;s respect quickly in this environment. People development is the job. The 50% delivery commitment is real \u2014 but the primary measure of success in this role is whether the Data Engineers on your team are growing, performing, and staying.\u003C/p\u003E\u003Ch3\u003EWhy This Role\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003EHigh visibility within Cognite\u0026#39;s European Delivery organisation \u2014 direct line to VP Delivery Europe.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EMeaningful influence over how Data Engineering is practised and developed across VD Europe.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EOwnership of a team at a critical growth stage \u2014 the work you do here shapes the function for years.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EPart of a profession leadership team that is actively building something, not maintaining the status quo.\u003C/li\u003E\u003C/ul\u003E\u003Ch3\u003ELearn more about us\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003EImpact 2025\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003ECognite\u0026#39;s Industrial AI: Moonshot\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EWe\u2019re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.\u003C/li\u003E\u003C/ul\u003E\u003Ch3\u003EEqual Opportunity\u003C/h3\u003E\u003Cp\u003ECognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. 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