The main role of the service holder is:
- 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 AMIRAL project requirements and approved tagging rules.
- Identify duplicate, missing, invalid or inconsistent tags and coordinate correction 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 before 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.
- Validated tag and asset datasets for the project.
- Weekly data-quality dashboard and prioritised error report.
- Data issue and correction follow-up register.
- Reconciliation results between datasets, engineering documents and 3D objects.
- 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, 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 is an advantage.
- Exposure to engineering information tools such as Phusion, Hexagon, Autodesk, SAP or equivalent platforms is an advantage.
- Clear communication skills and the ability to follow up with multidisciplinary engineering and contractor teams
- Bachelor degree or technical qualification in engineering, information systems, data management or a related field.
Place of work (City & country ) : Jubail / KSA
Working Schedule : Resident 6 days per week
Starting date : ASAP
Duration of the mission : 12 Months (Renewable)
