Data Quality & Digital Twin / Data Steward

Data Quality & Digital Twin / Data Steward – 12 Months Contract – Jubail, Saudi

5 days on site

Required: - 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 & gas, petrochemical, refinery, energy, EPC or other asset-intensive projects. Practical understanding of engineering tags, equipment & piping data, document-to-tag relationships & structured metadata. Ability to analyse large datasets & identify quality gaps, patterns & inconsistencies. Good working knowledge of Microsoft Excel, including filters, lookups, pivot tables & 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 & the ability to follow up with multidisciplinary engineering & contractor teams. Bachelor’s degree or technical qualification in engineering, information systems, data management or related field.

Data Quality & Digital Twin Data Steward will ensure that engineering & asset data is complete, consistent, correctly tagged & ready for integration into the Digital Twin & operational systems. The role focuses on data quality & information assurance, not document control.

ACTIVITIES

Data Quality & Digital Twin Data Steward main role:

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

Data Quality & Digital Twin Data Steward Accountabilities

• Validated tag & asset datasets for the project.
• Weekly data-quality dashboard & prioritized error report.
• Data issue & correction follow-up register.
• Reconciliation results between datasets, engineering documents & 3D objects.

With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil & Gas, Power & Renewables, Chemicals, Construction & Infrastructure, Life Sciences, Mining and Manufacturing sectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients.