DATA ENGINEER – (Oil & Gas)

Star Services LLC; Abu Dhabi; On-site; AED 279,000 - 558,000; Full time

Benefits offered by this job

Round trip economy air ticket

Health insurance

Single-status accommodation

Job summary

Star Services LLC is seeking a seasoned Data Engineer for an offshore-focused role in Abu Dhabi. The position requires a Master’s or equivalent in data analytics or computer science/engineering, with 10+ years in IT and digital transformation.

Responsibilities include building scalable data pipelines, ETL optimization, data governance, and enterprise data platform governance. The role involves offshore visits, 7:00–15:00, 5 days a week, with contract hire and family-status benefits after

Qualifications

• Master of Science in Data Analytics or bachelor's degree in computer science/engineering or equal.
• 10+ years experience in Information Technology and Digital Transformation.
• Experience with data engineering, data pipelines, ETL, and data governance is preferred.

Responsibilities

• Assist the Group Head in conducting digital transformation need analysis to address evolving business and operational requirements.
• Develop and deliver data engineering solutions that support the organization's Digital Transformation strategy and objectives.
• Design, build, and maintain scalable data pipelines handling large data volumes from plant operations and enterprise systems.
• Implement and optimize ETL processes to ensure high data quality, integrity, and consistency across platforms.
• Support establishment of a structured enterprise data foundation by defining tools, technologies, and data management processes.
• Integrate and manage data across multiple digital systems to remove data silos and enable analytics, reporting, and informed decision-making.
• Manage and support data warehouses and data lakes to facilitate business intelligence, reporting, and advanced analytics initiatives.
• Translate business requirements into scalable technical specifications for data infrastructure and digital solutions.
• Establish data governance standards to manage data access, security, quality, and regulatory compliance across enterprise platforms.
• Collaborate with IT teams and stakeholders to deliver data solutions aligned with cross-functional needs.
• Support DX project execution by preparing technical specifications and data requirements for vendor evaluation.
• Lead continuous improvement initiatives to strengthen IT and digital transformation capabilities using industry best practices.
• Promote a data-driven and digital-first culture by enabling reliable access to enterprise data assets.

Education

Master of Science in Data Analytics

Bachelor's degree in Computer Science or Engineering

Job description

About the job DATA ENGINEER – (Oil & Gas)

Work Location

Abu Dhabi (Offshore visits as per job requirements)

Leave Cycle

150/30 – on single status

335/30 – on family status (applicable after completion of Probation period)

Air Ticket

Round trip - Economy class provided

Medical

Health Insurance provided

Accommodation

Single-status accommodation will be provided during the period of single status.

Contract Type

Contract Hire

Working Hours

07:00 to 15:00 (5 days a week)

Salary

Probation Period

6 months

Status

Family status benefits will become applicable upon successful completion of the probationary period.

Qualification (minimum)

Master of Science in Data Analytics or bachelor's degree in computer science/engineering or equal.

Experience (minimum)

10+ Years experience in Information Technology & Digital Transformation.

Job Description

• * Assist the Group Head in conducting digital transformation need analysis to address evolving business and operational requirements.
• * Develop and deliver data engineering solutions that directly support the organization's Digital Transformation (DX) strategy and objectives.
• * Design, build, and maintain scalable and reliable data pipelines handling large data volumes from plant operations and enterprise systems.
• * Implement and continuously optimize ETL processes to ensure high standards of data quality, integrity, and consistency across platforms.
• * Support the establishment of a structured enterprise data foundation by defining appropriate tools, technologies, and data management processes.
• * Integrate and manage data across multiple digital systems to remove data silos and enable analytics, reporting, and informed decision‑making.
• * Manage and support data warehouses and data lakes to facilitate business intelligence, reporting, and advanced analytics initiatives.
• * Translate business and operational requirements into scalable technical specifications for data infrastructure and digital solutions.
• * Establish data governance standards to manage data access, security, quality, and regulatory compliance across enterprise data platforms.
• * Collaborate closely with IT teams and business stakeholders to deliver technical data solutions aligned with cross‑functional application needs.
• * Support DX project execution by preparing technical specifications and defining data requirements for vendor evaluation and selection.
• * Lead continuous improvement initiatives to strengthen IT and digital transformation capabilities using industry best practices and standards.
• * Promote a data‑driven and digital‑first culture by supporting change initiatives and enabling reliable access to enterprise data assets.

Additional requirements

• * Ability to efficiently manage Digital Transformation (DX) activities.
• * Strong focus on end‑user engagement and satisfaction.
• * Proven capability to deliver DX initiatives on time and within budget.
• * Ability to achieve measurable digital transformation outcomes.
• * Strong control over data integrity and governance.
• * Capability to meet business requirements through effective solutions.
• * Ability to maintain system reliability and timely updates.
• * Strong troubleshooting, analytical, and problem‑solving skills.
• * Excellent communication, teamwork, and time‑management skills.
• * Strong project management skills with relevant cloud/data engineering certifications.