Digital Transformation Engineer

Position summary

Digital transformation delivery

• Support digitalization roadmaps and identify opportunities across engineering, construction, operations, maintenance, HSE, and sustainability.
• Gather client requirements and translate project requirements and SOWs into digital solutions and use cases.
• Integrate OT, IT, engineering, enterprise, operational, maintenance, and inspection systems and data.
• Support data acquisition, governance, contextualization, quality, engineering data digitalization, and asset information management.
• Implement Digital Twin and digital platforms; develop dashboards, KPIs, reporting, analytics, AI/ML, and operational intelligence solutions.
• Contribute to predictive maintenance, reliability, APM, digital operations centers, situational awareness, real-time monitoring, and decision support.
• Evaluate technologies including industrial AI, mobility, wearables, drones, robotics, computer vision, AR/VR, autonomous operations, and emissions management.

Project delivery and stakeholders

• Coordinate with clients, vendors, system integrators, and project teams; support FAT, SAT, commissioning, and site acceptance.
• Prepare technical documents, reports, presentations, and project deliverables; support planning, scheduling, progress reporting, and risk management.
• Ensure compliance with project standards, cybersecurity requirements, and governance processes.

Engineer qualifications

• Bachelor’s degree in Computer Science, IT, Data Science, Chemical Engineering, Instrumentation, Electrical Engineering, Automation, or a related discipline.
• 3–7 years of relevant experience and exposure to industrial digitalization initiatives.

Senior Engineer qualifications

• Bachelor’s or master’s degree in a relevant discipline and 8–12 years of relevant experience.
• Demonstrated experience delivering complex digitalization projects.

Lead Engineer qualifications

• Bachelor’s or master’s degree in a relevant discipline and 12+ years of relevant experience.
• Proven experience leading multidisciplinary digital transformation programs and teams.

Preferred technical skills

• Digital Twin, APM, predictive maintenance, reliability, and operational excellence solutions.
• System integration, APIs, ETL, OPC UA, MQTT, and industrial connectivity.
• Industrial historians, RTIMS, DCS, SCADA, MES, CMMS, and enterprise systems.
• Power BI, SQL, Python, data analytics, data engineering, and AI/ML.
• OT/IT convergence, cybersecurity awareness, and industrial architecture.
• Engineering information management, BIM, CAD, and Digital Twin ecosystems; Azure, AWS, and modern data platforms.

Professional capabilities

• Strong analytical and problem-solving capabilities, stakeholder management, communication, and presentation abilities.
• Ability to work in multidisciplinary and multicultural environments, with a project execution mindset and customer-focused approach.
• Willingness to travel to project and site locations as required.