Academy Engineer - (Data Scientist- Training)

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.

6. Collaboration & Continuous Improvement

• Work collaboratively across Academy, Product, Engineering, Professional Services, Customer Success, and other functions to ensure alignment between product development and learning content.
• Actively participate in Academy content planning, reviews, and quality assurance activities.
• Bring feedback from customers and training participants back into the product and Academy organizations.
• Continuously evaluate what is working and identify opportunities to improve the effectiveness, scalability, and efficiency of Academy learning programs.
• Stay current with emerging technologies in AI, data engineering, DataOps, and industrial data platforms and assess their relevance to Cognite's learning portfolio.

In this role, success means that you

• Become a trusted technical SME for key areas of the Cognite product portfolio.
• Consistently produce technically accurate, engaging, and scalable learning experiences.
• Help expand and improve the Academy's technical curriculum and learning paths.
• Deliver high-quality training that enables customers and partners to become productive faster.
• Create hands-on learning experiences that build practical implementation skills.
• Identify emerging capability gaps and proactively turn them into new learning solutions.
• Build strong relationships with Product, Professional Services, Engineering, and Customer Success teams.
• Continuously improve Academy content, learner experience, and training effectiveness.

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 Academy content development processes, templates, quality standards, and design systems.

Technical Experience

• Bachelor's, Master's, or PhD in Computer Science, Data Science, Engineering, or a related technical discipline.
• 2+ years of professional experience in a technical role such as Data Engineer, Data Scientist, Software Engineer, Solutions Architect, or Technical Consultant.
• Strong hands-on experience with Python and SQL.
• Experience working with data platforms, DataOps technologies, cloud platforms, or industrial data environments.
• Experience with Cognite Data Fusion® is highly desirable. Experience with similar industrial data platforms or DataOps environments will also be considered.
• Experience with Microsoft Azure and Azure Active Directory.
• Strong understanding of data engineering, data modeling, APIs, and cloud-based data platforms.
• Ability and enthusiasm to quickly learn new technologies and become a credible technical SME.

Training & Communication Experience

• Experience delivering technical training, workshops, bootcamps, demonstrations, or technical presentations to professional audiences.
• Excellent verbal and written communication skills.
• Demonstrated ability to explain complex technical concepts clearly to audiences with different levels of technical expertise.
• Experience creating technical learning content, documentation, tutorials, labs, or other educational materials.
• Understanding of instructional design principles and adult learning methodologies.
• Experience with learning management systems and digital authoring tools is highly desirable.
• Familiarity with tools such as Skilljar, Articulate Rise, Articulate Storyline, Synthesia, or similar platforms is a plus.

Why Join Cognite Academy?

This is an opportunity to help shape how customers and partners around the world learn, adopt, and implement industrial AI and data technology.

You will work at the intersection of technology, education, customer success, and AI, while having significant ownership over the learning experiences that enable Cognite's global ecosystem.

If you are a technically strong professional who enjoys both building technology and teaching others how to use it, this role offers the opportunity to make a direct and measurable impact on Cognite's customers, partners, and growth.