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<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Install, operate, maintain, and troubleshoot CCTV and Building Management System (BMS) equipment to ensure the efficient operation, security, and automation of building facilities. Perform preventive and corrective maintenance while ensuring compliance with safety and operational standards. Install, inspect, maintain, and troubleshoot CCTV cameras, NVR/DVR systems, BMS controllers, sensors, and associated equipment. Monitor and maintain BMS systems controlling HVAC, lighting, and other building services to ensure optimal performance. Diagnose and rectify faults in CCTV and BMS hardware, software, wiring, and network connections. Perform routine testing, preventive maintenance, and system upgrades while maintaining accurate service records. Ensure compliance with HSE requirements and coordinate with facility teams to minimize system downtime.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Diploma/ITI in Electrical, Electronics, Instrumentation, or a related technical field with experience in CCTV and BMS systems.</p><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>We are seeking a motivated Entry-Level Data and Infrastructure Engineer to join our team in Libya. The role focuses on two main areas: managing and transforming data from multiple sources into structured formats for analysis, and designing, supporting, and maintaining cloud computing environments. This is an exciting opportunity to gain hands-on experience with cloud technologies, data infrastructure, and digital solutions in a professional engineering environment.</p><p>Key Responsibilities</p><p>Data Management:</p><ul><li>Organize, collect, process, and store data from different sources</li><li>Transform raw, unstructured data into usable formats for analysis</li><li>Perform data mapping and quality control across multiple data sources</li><li>Assemble large, complex datasets meeting functional and non-functional requirements</li><li>Support data loading, migration, and retrieval tasks</li><li>Advise on data governance, policies, roles, and dataflow</li><li>Work with stakeholders to resolve data-related technical issues</li></ul><p>Infrastructure & Cloud Support:</p><ul><li>Design, plan, maintain, and support cloud computing environments (AWS, Azure, Google Cloud)</li><li>Collaborate with engineering teams to ensure digital applications run efficiently on cloud infrastructure</li><li>Deploy applications using container technologies such as Docker and Kubernetes</li><li>Maintain existing databases (SQL, NoSQL) and related data stores</li><li>Use APIs, web services, REST/RPC, and JSON/XML integration as needed</li><li>Operate, design, develop, test, and implement infrastructure systems with automation in mind</li><li>Install and configure IoT solutions, network setup, and SDK implementations</li><li>Participate in out-of-office on-call rotation as required</li></ul><p>Technical Analysis & Documentation:</p><ul><li>Assess company data and infrastructure environments, providing improvement recommendations</li><li>Estimate project value from an infrastructure perspective and liaise closely with customers</li><li>Maintain accurate and up-to-date documentation on all activities</li><li>Gather experience working with OpenStack, Linux/UNIX, Rackspace, and Schlumberger EDM and OSDU workflows</li></ul><p>What We Offer</p><ul><li>Hands-on experience with cloud computing, data infrastructure, and digital applications</li><li>Mentoring from experienced engineers and IT specialists</li><li>Exposure to real-world projects and customer-facing tasks</li><li>Career development opportunities in data engineering and cloud technologies</li><li>Collaborative and supportive work environment</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Qualifications & Experience</h2><ul><li>Bachelor s degree in Computer Science, IT, Data Engineering, Cloud Computing, or related field</li><li>Basic understanding of cloud platforms (AWS, Azure, GCP) and database management (SQL, NoSQL)</li><li>Familiarity with container technologies (Docker, Kubernetes) and Linux/UNIX environments</li><li>Analytical, problem-solving, and organizational skills</li><li>Good communication and teamwork abilities</li><li>Motivation to learn and grow in data and infrastructure engineering</li></ul><p></p></section>