Saipem is a global leader in engineering and construction for energy and infrastructure projects, both offshore and onshore. The company is organized into five business lines: Asset Based Services, Energy Carriers, Offshore Wind, Sustainable Infrastructures, and Robotics & Industrialized Solutions. With 8 fabrication yards, a fleet of 29 construction vessels, and 15 drilling rigs, Saipem employs about 30,000 people across more than 50 countries. The company's purpose is "Engineering for a sustainable future," supporting clients in the energy transition towards Net Zero using digital technologies and sustainable practices.Saipem values diversity and inclusion, promoting a work environment that respects individual dignity and encourages collaboration, fairness, and support.In this position, the resource will be involved in:Asset Management & Efficiency: Drive improvements in asset management cycles to optimize performance and utilization.Maritime Tools & Support: Provide support for maritime tools and systems to assist vessel crews.Vessel Support & Compliance: Support vessel Master and Crew to ensure compliance with maritime regulations and procedures.System Development & Improvement: Contribute to developing and enhancing the ISM system for asset and operational management.Technical Reporting & Analysis: Develop technical reports and analyses accurately and timely.Asset Integrity & Compliance: Assist in maintaining asset integrity systems to ensure compliance with international maritime regulations such as IMO, SOLAS, and MODU.Documentation Management: Manage and organize vessel documentation, ensuring it is current and accessible.Qualifications:Bachelor’s Degree in Naval Engineering or Maritime Affairs and Regulation.Proficiency in MS Office (Excel, Access, PowerBi, SharePoint).Strong written and spoken English skills.Willingness to travel abroad for missions.IT Skills:Interest in digital tools, software development, and applications for maritime operations and asset management.Interest in data analysis and reporting systems.Interest or experience in predictive and condition-based maintenance approaches.Knowledge of big data analysis and system integration.Labour Relationship: Permanent contractYears of Experience: 0-2 yearsPrivacy Policy: All interested candidates (L.903 / 03) are invited to consult the privacy policy in accordance with Articles 13 and 14 of GDPR.J-18808-Ljbffr
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