MPH

Data Quality & Digital Twin / Data Steward

Jubail, Saudi ArabiaPosted 4 days ago

Salary
AED 18k–24k a month· est.
Job type
Contract
Level
Mid level
Field
Data & Analytics
Work mode
On site

About the role

We are looking for a Data Quality & Digital Twin / Data Steward with the following details : Location : Jubail, Saudi Arabia Work Scheme : Residential, Single Duration : 12 months (renewable) *** Candidates should demonstrate hands-on experience with structured engineering data, tag validation, metadata quality, data reconciliation, dashboards or Digital Twin / asset-information readiness. Qualification: • 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 are 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’s degree or technical qualification in engineering, information systems, data management or a related field.

Requirements

  • 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 are 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’s degree or technical qualification in engineering, information systems, data management or a related field.

Responsibilities

Hands-on work with structured engineering data, tag validation, metadata quality, data reconciliation, dashboards or Digital Twin / asset-information readiness.

Skills

  • engineering data
  • asset information
  • data quality
  • Digital Twin
  • information management
  • data reconciliation
  • Microsoft Excel
  • Power Query
  • Power BI
  • Phusion
  • Hexagon
  • Autodesk
  • SAP

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