Data Quality & Digital Twin Pk ECT Sces

About the Role
The main role of the service holder is to ensure the integrity and quality of engineering data across various systems and projects. This involves validating datasets, identifying discrepancies, and coordinating with engineering disciplines and contractors to maintain high standards of data quality. The position requires collaboration with multiple teams and a strong understanding of data management in industrial environments.

Responsibilities

• Review tag registers, equipment lists, line lists, instrument indexes, and related engineering datasets for completeness, accuracy, and consistency.
• Validate tag numbers, functional classes, attributes, units, naming conventions, and mandatory metadata against the project requirements and approved tagging rules.
• Identify duplicate, missing, invalid, or inconsistent tags and coordinate correction efforts with engineering disciplines and the contractor.
• Check alignment between structured data and source documents, including P&IDs, datasheets, lists, drawings, and vendor information.
• Confirm that equipment and tag data can be linked correctly to documents and 3D model objects for Digital Twin use cases.
• Monitor data-quality KPIs such as completeness, validity, uniqueness, consistency, and correction closure; issue clear dashboards and exception reports.
• Support data loading, validation, and reconciliation in project information platforms such as Phusion or equivalent engineering data repositories.
• Work with engineering, Digital Twin, data management, and contractor teams to resolve data issues prior to handover.
• Maintain an auditable data-quality issue log with owner, priority, due date, evidence, and closure status.
• Contribute to data readiness reviews and verify that corrected datasets meet agreed handover criteria.
• Provide validated tag and asset datasets for the project.
• Generate weekly data-quality dashboard and prioritized error report.
• Keep a data issue and correction follow-up register.
• Reconcile results between datasets, engineering documents, and 3D objects.

Qualifications

• 3 to 7 years of experience in engineering data, asset information, data quality, Digital Twin, information management, or a similar industrial role.
• Good knowledge of technical English (written and spoken).
• Experience in oil and gas, petrochemical, refinery, energy, EPC, or other asset-intensive projects.
• Practical understanding of engineering tags, equipment and piping data, document-to-tag relationships, and structured metadata.
• Ability to analyze large datasets and identify quality gaps, patterns, and inconsistencies.
• Good working knowledge of Microsoft Excel, including filters, lookups, pivot tables, and data reconciliation; Power Query or Power BI experience is a plus.
• Exposure to engineering information tools such as Phusion, Hexagon, Autodesk, SAP, or equivalent platforms is advantageous.
• Clear communication skills and the ability to follow up with multidisciplinary engineering and contractor teams.
• Bachelor's degree or technical qualification in engineering, information systems, data management, or a related field.

Additional Information

• Place of Work: Jubail, KSA
• Working Schedule: Resident, 6 days per week
• Starting Date: ASAP
• Duration of the Mission: 12 Months (Renewable)