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Data Engineer {Oil & Gas Industry}

Alchemy Business Services Ltd.
Abu Dhabi, UAE
Full-time
Mid-Senior
Onsite
Discovered Yesterday
Data engineeringData pipelinesETLData warehousesData lakesData governance
Free

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Data engineeringData pipelinesETL
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Role Overview

The role supports digital transformation and data engineering activities in an oil and gas industry environment.

The position focuses on reliable enterprise data infrastructure, analytics enablement, and data-driven decision-making.

Qualifications

  • A Master of Science in Data Analytics, a bachelor's degree in computer science or engineering, or an equivalent qualification.
  • At least 10 years of experience in information technology and digital transformation.
  • Ability to manage digital transformation activities and deliver measurable outcomes on time and within budget.
  • Strong control over data integrity and governance.
  • Strong troubleshooting, analytical, and problem-solving skills.
  • Excellent communication, teamwork, and time-management skills.
  • Strong project management skills with relevant cloud or data engineering certifications.

Responsibilities

  • Assist the Group Head with digital transformation needs analysis.
  • Develop and deliver data engineering solutions aligned with the DX strategy.
  • Design, build, and maintain scalable data pipelines for plant operations and enterprise systems.
  • Implement and optimize ETL processes for data quality, integrity, and consistency.
  • Define tools, technologies, and data management processes for an enterprise data foundation.
  • Integrate data across digital systems to remove silos and enable analytics and reporting.
  • Manage data warehouses and data lakes for business intelligence and advanced analytics.
  • Translate business requirements into technical specifications for data infrastructure and digital solutions.
  • Establish data governance standards for access, security, quality, and compliance.
  • Collaborate with IT teams and business stakeholders on technical data solutions.
  • Prepare technical specifications and data requirements for vendor evaluation.
  • Lead continuous improvement and change initiatives for digital transformation capabilities.

Core Capabilities

  • Data engineering, pipelines, ETL, data warehouses, and data lakes.
  • Data integration, governance, quality, integrity, security, and compliance.
  • Digital transformation delivery, project management, troubleshooting, and stakeholder engagement.

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