Total 2 Senior Executive data entry job vacancies in Engineering category in Hong Kong

Job Duties and Responsibilities:

• Lead the design and implementation of AI-driven solutions to support AI storage, data security, and AI computing platforms.
• Design and optimise scalable data and AI platforms, including distributed storage systems, secure data environments, and high-performance computing infrastructure.
• Develop and enhance machine learning models and analytical methodologies to support business use cases.
• Establish and manage end-to-end data workflows, including data extraction, integration, transformation, and validation across multiple sources.
• Evaluate, validate, and optimise AI/ML model performance to ensure reliability, scalability, and production readiness.
• Collaborate with cross-functional teams to translate business requirements into robust AI and data solutions.
• Ensure data security, governance, and compliance across AI systems and data platforms.
• Optimise system performance across storage, compute, and model deployment layers.
• Gain insights into the development trends of AI, data infrastructure, and security technologies, and plan product evolution directions.
• To collaborate and communicate directly with Chinese speaking officers, stakeholders, counterparts, and customers in China HQ team

Requirements:

• Master degree in Computer Science, Data Science, Software Engineering, or a related field.
• At least 8–10 years of experience in IT, with relevant experience in AI, data platforms, or data storage.
• At least 2 years of experience in high-availability, mission-critical transaction systems. Experience in financial services environments is required due to the nature of the business.
• A deep understanding of the training process of AI foundation models and the collaboration architecture between GPU clusters and storage systems is required.
• Familiarity with distributed or high-performance storage systems (e.g. Ceph, Lustre, or similar solutions).
• A minimum of 3 years of experience in team leadership in a technical environment is required, along with strong teamwork and communication skills.
• Strong analytical and problem-solving skills.
• Experience in large-scale technology or platform-based environments is an added advantage.
• Proficiency in Mandarin is essential to ensure effective communication with the Chinese-speaking stakeholders, including head office, business counterparts, and customers based in China.

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PERSOL Singapore Pte Ltd

•RCB No. 200007268E • EA License No. 01C4394

•Registration ID: Heah Sian Wei R23117518

Job Overview:

The Senior Data Management Engineer is responsible for managing project data across the lifecycle of EPCI projects, ensuring the integrity, structure, and availability of engineering information from design through commissioning and handover to operations.

The role requires a strong engineering background combined with expertise in engineering data structures, tag & data management. The position will coordinate closely with multiple disciplines, project stakeholders, and digital systems to ensure consistent data governance and effective information delivery.

Key Responsibilities:

Engineering Data Management

Develop and maintain engineering data structures, tag registers, and master data for FPSO EPCI projects. Manage engineering deliverable metadata and project class library. Ensure consistency and quality of engineering data across engineering, procurement, construction, and commissioning phases. Support the development and maintenance of engineering databases and digital handover datasets.

Data Quality & Governance

Implement data governance procedures, standards, and workflows. Perform data validation, cleansing, and quality checks across project data repositories. Support compliance with client information standards and project data specifications.

Stakeholder Coordination

Coordinate with internal and external engineering disciplines, information management teams, commissioning teams, and client representatives. Facilitate discussions to align tagging philosophy, equipment hierarchy, and asset data requirements. Provide guidance to project teams on engineering data standards and best practices. Conduct data coordination meetings and workshops to resolve data gaps and inconsistencies.

Requirements:

• Bachelor’s degree in Engineering (Mechanical, Electrical, Instrumentation, Process, or equivalent).
• 7–10 years and above of experience in oil & gas or offshore EPC/EPCI.
• Candidate with less relevant data management experience will be considered for data management engineer role.
• Experience working in engineering data management, demonstrated experience in developing and maintaining project databases for EPCI projects, with exposure to data preparation supporting commissioning activities or operational readiness.
• Prior experience in FPSO, offshore platforms, or large EPC/EPCI projects is highly preferred.
• Prior background in engineering, commissioning, or operations is beneficial.
• Proficiency in SQL, Power BI, or similar data analytics and visualization tools will be considered an advantage.
• Understanding engineering tagging philosophy and equipment hierarchy.
• Familiarity with engineering deliverables and lifecycle data.
• Experience with engineering information systems, EDMS, and commissioning/completions databases.
• Strong data analysis and quality management skills.
• Strong stakeholder management and communication skills.
• Ability to coordinate across multi-disciplinary teams and international project stakeholders.
• Strong problem-solving and analytical capabilities. Proactive mindset with strong attention to data quality and detail.