Описание
Wood is a global leader in consulting, engineering, and operations for the energy and materials sectors. It supports clients across the full asset lifecycle, delivering safe, predictable outcomes while enabling resilient operations and a lower carbon future.
Задачи
•Maintain traceability and consistency between project documents, databases, and cutover tracking tools
•Perform cross-checks and reconciliation across engineering lists, schedules, registers, databases, turnover packages, and cutover tracking databases
•Identify missing, duplicate, inconsistent, conflicting, and orphaned records
•Establish and maintain a single source of truth for project data
•Develop and execute automated validation processes for tag consistency across project documentation
•Validate equipment, cable, feeder, source, and destination relationships
•Verify MCC feeder assignments and load mappings
•Ensure consistency between engineering databases and project deliverables
•Generate exception reports highlighting discrepancies requiring engineering review
•Support data readiness assessments for cutover execution
•Develop and maintain advanced Excel-based tools for data validation, reconciliation, reporting, and cutover readiness
•Develop Power Query solutions for automated data extraction, transformation, and consolidation
•Build Power Pivot models for analyzing relationships between engineering datasets
•Develop VBA-based validation tools and automated reconciliation reports
•Develop dashboards showing data quality, cutover readiness, and project progress
•Create validation tools and configurable templates for engineering data self-validation
•Develop automated tools for processing and validating large drawing packages and associated datasets
•Compare drawing tags and revisions against master databases and identify changes affecting construction, commissioning, and cutover activities
•Validate document cross-references and linked datasets
•Generate discrepancy reports and engineering punch lists
•Perform automated consistency checks across engineering deliverables
•Develop dashboards and project performance metrics
•Monitor and report data quality KPIs
•Prepare management reports and exception summaries
•Support cutover readiness reviews with data-driven reporting
•Maintain visibility of outstanding data discrepancies and corrective actions
•Identify opportunities to eliminate manual data validation activities
•Develop reusable tools and templates across project workstreams
•Standardize data validation methodologies and reporting practices
•Improve the efficiency and accuracy of project data management processes
•Support digitalization and automation initiatives within the Project Team
Требования
•KZ passport holder
•Extensive experience in the oil and gas petrochemical industry
•Knowledge of electrical engineering documentation and equipment tagging systems
•Familiarity with Load Lists, MCC Load Lists, Cable Schedules, Cable Splicing Schedules, and Turnover Packages
•Experience supporting commissioning, system completion, cutover, or execution-readiness activities
•Experience with XLOOKUP, INDEX/MATCH, FILTER, UNIQUE, LET, LAMBDA, Dynamic Arrays, Pivot Tables, Data Models, Power Query, Power Pivot, VBA, Power BI, Power Automate, SQL, SharePoint, and dashboard development
•Ability to work with large engineering datasets, manage relationships between registers, and maintain traceability across source documents
•Structured and detail-oriented, with the ability to work independently
•Ability to convert repeated manual checks into reusable tools and templates
Условия
Office-based role in Atyrau, Kazakhstan.
