Graduate Data Engineer
Skills
About This Role
Overview
The successful candidate will support the integration of AI into project delivery, information management and asset lifecycle processes.
This will include working with data, documents, engineering systems and digital tools to identify opportunities for automation, improved decision-making and more efficient delivery.
Wood will provide strong mentoring, structured development and hands-on project exposure.
The successful candidate will work with experienced digital and information management specialists and will play an integral role in helping Wood apply AI across the full asset lifecycle.
Due to the nature of the projects and client expectations, the position will be based full-time at our Abu Dhabi office.
• Support Data Pipeline Development
Assist in building, maintaining, and monitoring data pipelines that collect, process, and store structured and unstructured data from multiple sources.
• Ensure Data Quality & Reliability
- Perform data validation, cleansing, and basic reconciliation to ensure accuracy, consistency, and reliability of datasets used for reporting and analytics.
- Work with Databases & Data Platforms
- Support the management of relational and cloud based databases, including data loading, querying, and performance optimization under supervision.
- Collaborate with Cross Functional Teams
- Work closely with data analysts, data scientists, IT, and business teams to understand data requirements and translate them into technical solutions.
• Support Reporting & Analytics Enablement
Prepare datasets and data models that enable dashboards, reports, and analytical use cases.
• Learn Modern Data Engineering Tools
Gain hands on experience with ETL/ELT frameworks, cloud data platforms, version control, and automation tools used within the organization.
• Follow Data Governance & Security Standards
Adhere to organization policies related to data privacy, security, and compliance while handling sensitive and confidential information.
• Document Data Processes & Solutions
Maintain technical documentation for data pipelines, data dictionaries, and operational procedures to ensure knowledge continuity.
• Identify Improvement Opportunities
Proactively suggest improvements to data workflows, performance, and process efficiency as technical knowledge grows.
• Build Technical & Professional Capability
Continuously develop skills in SQL, data modeling, scripting, and cloud technologies through training, mentoring, and on the job learning.
Wood is a global leader in consulting and engineering, helping to unlock solutions to critical challenges in energy and materials markets.
We provide consulting, projects and operations solutions in 45 countries, employing around 25,000 people. www.woodplc.com
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