Location: Tripoli and Desert

Department: Digital Oilfield solution

Role & Responsibilities:

The functions included in this job are as follows, but not limited to:

• Setting up and troubleshooting existing automated Well head Monitoring system
• Procuring new equipment, defining specifications, unit testing, Installation and implementation.
• Coding applications that enable physical devices or embed systems.
• Debugging any problems that arise.
• Collaborate with other engineering teams to integrate automated solutions seamlessly.
• Document processes and system configurations, enabling easier future modifications.

Required Technical / Functional Competency:

Academic Background:

• Bachelor’s degree in Mechanical Engineering, Petroleum Engineering, Electrical Engineering, Computer Engineering, or related technical field.

Knowledge:

• Working Knowledge of Modbus Protocol

Technical Skills:

• Work diligently under pressure, with high attention to detail, and timeliness.
• Superior ability to identify and solve problems.
• Ability to work under pressure with tight schedule and deadlines.
• Ability to remain flexible and effective under pressure in a fast-paced environment.
• Strong time / project management and organization skills.
• Ability to learn quickly, independently research, identify and solve technical problems.
• Ability and flexibility to travel to domestic locations.
• Excellent oral and written communication skills
• Be physically capable (i.e. climb ladders, bend, crawl, walk or stand for prolonged periods of time), and available to work in the Desert.
• Ability to use hand tools and power tools.
• Diagnose electrical problems using a range of testing devices.

Specific Practical experience:

• 1-2 years of experience as technical Oil & Gas engineer, or control engineer in Oil & Gas segment.

Other:

Preferred

• Technical experience in the field of Artificial lift.
• Technical background in automation and computers.
• Familiarity with Oil & Gas utilities and energy companies.
• Basic knowledge of data analysis.

To apply, please send your CV to vacancies@rltt.net with the position title mentioned in the subject line.