Data Coordinator

Airswift; Nanterre; Sur place; EUR 45 000 - 65 000; Plein temps

Résumé du poste

Airswift in Nanterre is seeking a Project Data Coordinator to ensure quality, consistency, validation, and management of engineering data across the project lifecycle. You will support the Information Management team by coordinating data collection activities, maintaining data quality standards, and contributing to the deployment and operation of the Engineering Data Warehouse (Aveva Engineering).

The successful candidate will work closely with engineering disciplines, project stakeholders,

Qualifications

• Bachelor's degree in Engineering, Information Management, Data Management or related field.
• Minimum 3 years in a similar Data Coordinator/Information Management role.
• Experience on large engineering EPC projects is preferred.

Responsabilités

• Coordinate data collection across project disciplines and validate data quality.
• Maintain engineering tags and attributes, ensure compliance with standards.
• Support deployment and operation of the Aveva Engineering Data Warehouse.
• Configure data views, mappings, and validation mechanisms for reporting.
• Develop dashboards and performance indicators for project data.

Connaissances

Excel

Tags & attributes management

Data quality processes

Data validation methodologies

Engineering data workflows

Stakeholder management

Formation

Bachelor's degree (Bac +3) in Engineering / Information/Data Management

Outils

Aveva Engineering

Description du poste

Job Title:

Project Data Coordinator

Location:

Nanterre

Start Date:

October

Duration:

12 month renewable

Position Overview:

The Data Coordinator is responsible for ensuring quality, consistency, validation, and management of engineering data throughout the project lifecycle. The role supports the Information Management team by coordinating data collection activities, maintaining data quality standards, and contributing to the deployment and operation of the Engineering Data Warehouse (Aveva Engineering). The successful candidate will work closely with engineering disciplines, project stakeholders, administrators, suppliers, and subcontractors to ensure project data is accurate, compliant, and available in accordance with contractual and project requirements.

Data Management & Quality Control:

Apply and maintain a thorough understanding of contractual requirements related to engineering data collection, verification, and tagging procedures. Establish, maintain, and operate engineering tag validation tools. Collect engineering data, including tags and associated attributes, from all project disciplines. Verify data quality, integrity, completeness, and compliance using internal validation tools and project standards. Analyze data discrepancies, identify root causes, and coordinate corrective actions with engineering teams. Import validated data into the Engineering Data Warehouse.

Engineering Data Warehouse (Aveva Engineering):

Support the deployment and operation of the Engineering Data Warehouse (Aveva Engineering) on the project. Understand and manage the standard content and functionalities of the Engineering Data Warehouse. Analyze project-specific requirements and define necessary configurations, including: Custom views Data validation and checking mechanisms Import configurations Export formats Data mappings Perform first-level system configurations. Prepare technical specifications and clarify requirements with system administrators. Monitor and follow up on configuration activities performed by administrators. Conduct testing and validation activities before deployment. Deliver user training and prepare related documentation, presentations, and user guides.

Reporting & Performance Monitoring:

Contribute to the development and implementation of project data performance indicators and reporting dashboards. Assist in monitoring data quality KPIs and project information management metrics. Support project reporting activities and continuous improvement initiatives.

Compliance & Documentation:

Ensure adherence to project procedures, quality standards, and Information Management processes. Follow the Information Quality Management Framework and Information Management Plan. Produce high-quality documentation that meets project technical, content, and presentation standards. Ensure all documentation is prepared in accordance with contractual language requirements.

Qualifications:

Bachelor's Degree (Bac +3 minimum) in Engineering, Information Management, Data Management, or a related field. Minimum 3 years of experience in a similar Data Coordinator, Information Management, or Engineering Data Management role. Experience working on large engineering, EPC, onshore, or offshore projects.

Required Skills & Experience:

Technical Skills: Advanced proficiency in Microsoft Excel. Strong knowledge of Aveva Engineering (user-level expertise required; administrator-level experience is not mandatory). Experience managing engineering tags, attributes, and engineering data quality processes. Familiarity with Engineering Data Warehouses and data validation methodologies. Understanding of engineering documentation and project data workflows.

Preferred Skills:

Knowledge of Power BI for reporting and dashboard creation. Experience with Information Management systems and data governance practices. Familiarity with engineering standards and EPC project environments.

Soft Skills:

Strong analytical and problem-solving abilities. Excellent organizational and planning skills. High level of autonomy and attention to detail. Effective communication and stakeholder management skills. Ability to work collaboratively within multidisciplinary teams. Strong customer-service and relationship-building capabilities.

Languages:

Fluent English (written and spoken) is mandatory. French language skills are considered an advantage.

Key Success Factors:

Delivery of accurate, complete, and compliant engineering data. Successful deployment and adoption of the Engineering Data Warehouse. Maintenance of high data quality standards throughout the project lifecycle. Effective collaboration with engineering disciplines, project teams, suppliers, and subcontractors. Compliance with project schedules, quality requirements, and Information Management procedures.