Engineering Data Coordinator
Pubblicato il 20-10-2026 - Mcdermott International in Milano
Job Overview:The Engineering Data Coordinator is responsible for managing and governing engineering data across multiple engineering disciplines and systems, ensuring compliance with Client’s specifications, standards and project execution philosophies. The role requires a strong engineering background combined with expertise in engineering data management, digital workflows and cross-functional coordination.
Our ingenuity fuels daily life. Together, we’ve forged some of the most trusted partnerships across the energy value chain to make what was once just an idea a reality: laying subsea infrastructure thousands of feet below sea level, installing platforms hundreds of miles from shore, using our expertise to design and build offshore wind infrastructure, and reshaping the onshore landscape to deliver the energy products the world needs safely and sustainably. For more than 100 years, we've been making the impossible possible. Today, we're driving the energy transition with more than 30,000 of the brightest minds across 54 countries.
Essential Qualifications and Education:Degree in Engineering or a related technical discipline.Experience working with major engineering design and information/data management systemsStrong understanding of engineering data management, tagging methodologies, AWP principles and project information requirements.Experience coordinating multidisciplinary engineering data and client data handover activities.Excellent analytical, communication, stakeholder management and problem-solving skills.#LI-LJ1#DICEKey Tasks and Responsibilities:Engineering Data GovernanceAnalyse and develop project-specific data management requirements and workflows, including: o Project Class Libraries o Tagging Procedures and Standards o Advanced Work Packaging (AWP) philosophy and hierarchy o Engineering database delivery requirements and frequencies o Client-specific data management specificationsEstablish and maintain engineering data governance processes to ens