Academy Engineer - (Data Scientist- Training)

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. How you’ll demonstrate Ownership About Cognite Academy Cognite Academy enables customers, partners, and internal teams to build the product knowledge and practical skills required to successfully adopt, implement, and scale Cognite solutions. Our goal is not simply to create training content. We build learning experiences that help people become productive faster, implement Cognite solutions successfully, follow best practices, and ultimately accelerate customer value realization. As an Academy Engineer, you will play a critical role in this mission by combining deep technical expertise, instructional thinking, content creation, and training delivery . The Role We are looking for an experienced and technically strong Academy Engineer who can translate complex Cognite technology and real-world implementation practices into engaging, practical, and scalable learning experiences. You will work closely with Product, Engineering, Professional Services, Customer Success, and other subject matter experts to understand what customers and partners need to know, identify learning gaps, and turn that knowledge into high-quality training courses, hands-on exercises, labs, demonstrations, and instructor-led programs. This is a highly collaborative role with significant ownership. You will not simply be handed a curriculum to deliver. You will help shape what we teach, how we teach it, and how learners demonstrate their ability to apply it. The ideal candidate combines the mindset of a data engineer/data scientist, technical consultant, and educator. You should be comfortable working hands-on with technology, presenting to a room of technical professionals, creating learning content, and continuously learning new products and technologies. Key Responsibilities 1. Technical Subject Matter Expertise Develop deep expertise in Cognite Data Fusion® and the broader Cognite product portfolio relevant to Academy training. Serve as a technical subject matter expert within the Academy team, helping ensure that training content reflects current product capabilities, implementation practices, and industry use cases. Partner closely with Product Managers, Engineers, Professional Services, Solutions Architects, and other internal SMEs to understand product functionality, upcoming capabilities, and real-world implementation requirements. Identify knowledge and skills gaps across customers, partners, and internal teams and translate these gaps into actionable learning requirements. Contribute to the Academy curriculum roadmap by recommending new courses, learning paths, hands-on labs, and advanced technical training. Continuously validate and refresh existing content as Cognite products, technologies, and best practices evolve. 2. Training Content & Learning Experience Development Design and develop high-quality technical training for audiences ranging from beginners to experienced data engineers, data scientists, solution architects, and implementation professionals. Create a variety of learning assets, including: Self-paced e-learning courses Instructor-led training Technical demonstrations Hands-on exercises and labs Assessments and quizzes Workshops and bootcamps Technical documentation and job aids Translate complex technical concepts into clear, structured, and learner-friendly content without compromising technical depth. Apply instructional design and adult learning principles to create learning experiences that are practical, engaging, and focused on measurable learning outcomes. Design hands-on exercises that allow learners to practice skills in realistic scenarios rather than simply consume information. Contribute to standardized Aca