electrical engineer

planning engineer

project engineer

business analyst

it support engineer

automation software engineer

MultiBank Group

<div>Welcome to MultiBank Group, a global financial pioneer established in 2005 in California and now proudly headquartered in Dubai, UAE. We specialize in delivering cutting-edge trading technology, unparalleled liquidity, and exceptional customer service. Our extensive range of financial products includes Forex, Metals, Shares, Indices, Commodities, and Cryptocurrency CFDs.
Join our thriving community of over 2 million clients across 100 countries, contributing to a daily trading volume exceeding US$ 35 billion. As a heavily regulated institution with oversight from 18+ financial regulators across 5 continents, and recipient of over 80 financial awards, MultiBank Group is devoted to innovation, excellence, and empowering our clients to achieve their financial goals.
Role Overview
We are seeking an AI Engineer to design, build, and deploy intelligent AI agents and automated workflows that address real business problems. This is a hands-on, high-impact role within the Artificial Intelligence and Advanced Analytics team. The successful candidate will own end-to-end delivery of AI agents from scoping and architecture through integration, testing, and production deployment, enabling the organization to automate complex processes and unlock value from generative AI.
Key Responsibilities<ul><li>
Design, build, and deploy AI agents using frontier LLMs including Claude (Anthropic API), OpenAI, Gemini, and other frontier models</li><li>
Architect multi-agent systems and agentic workflows using frameworks including LangChain, LangGraph, CrewAI, AutoGen, and Semantic Kernel</li><li>
Build and manage automated business workflows using n8n, Make (Integromat), Zapier, and custom API integrations</li><li>
Implement RAG pipelines with vector databases including Pinecone, Weaviate, Qdrant, and pgvector to give agents access to organizational knowledge bases</li><li>
Design tool-use and function-calling integrations, connecting agents to internal systems, APIs, databases, and third-party services</li><li>
Fine-tune and prompt-engineer LLMs to optimize agent behavior, reliability, and task accuracy</li><li>
Collaborate with business stakeholders to identify automation opportunities and translate requirements into agent-based solutions</li><li>
Monitor, evaluate, and continuously improve deployed agents across quality, latency, cost, and safety metrics</li><li>
Establish and maintain best practices for agent safety, guardrails, human-in-the-loop controls, and responsible AI deployment</li><li>
Develop MCP (Model Context Protocol) server integrations to extend agent capabilities</li></ul>
Requirements<ul><li>
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field; equivalent practical experience will be considered</li><li>
2 or more years of hands-on experience building production AI systems or intelligent automation solutions</li><li>
Demonstrated experience building agents or workflows with LangChain, LangGraph, CrewAI, n8n, or comparable frameworks</li><li>
Proven ability to integrate LLM APIs including Anthropic Claude and OpenAI into real-world applications</li><li>
Experience with vector databases and semantic search implementations is strongly preferred</li><li>
Portfolio or demonstrable projects showing deployed agents, automation workflows, or RAG-based applications</li><li>
Proficiency in Python as the primary language; JavaScript or TypeScript is beneficial</li><li>
Familiarity with cloud platforms, Docker, FastAPI, and CI/CD practices for AI pipelines</li></ul>
Technical Skills
LLM APIs: Anthropic Claude (claude-opus-4, claude-sonnet-4), OpenAI GPT-4o, Google Gemini, Mistral
Agent Frameworks: LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, Haystack
Workflow Automation: n8n, Make (Integromat), Zapier, Apache Airflow
Vector Databases and RAG: Pinecone, Weaviate, Qdrant, pgvector, Chroma, LlamaIndex
Programming: Python (primary), JavaScript/TypeScript, REST API design
Cloud and MLOps: AWS, Azure, GCP, Docker, FastAPI, CI/CD for AI pipelines
Observability and Evaluation: LangSmith, Helicone, Weights and Biases, custom evaluation harnesses
AI Agent Focus Areas<ul><li>
Autonomous and semi-autonomous agents for customer service, operations, marketing, and data analysis</li><li>
Multi-agent orchestration including planner, executor, critic, and memory agent patterns</li><li>
Knowledge retrieval systems including enterprise RAG, document Q&amp;A, and semantic search</li><li>
Process automation integrating CRM, ERP, and communication tools end-to-end</li><li>
Agent safety, guardrails, and human-in-the-loop oversight mechanisms</li><li>
MCP server development for extending agent capabilities</li></ul>
Soft Skills<ul><li>
Strong problem-solving ability and analytical thinking</li><li>
Ability to translate complex business needs into practical technical solutions</li><li>
Effective collaboration and communication in a team-oriented environment</li><li>
Intellectual curiosity and commitment to staying current with AI research and trends</li></ul>
Why Join Us?<ul><li>
Work with one of the world&rsquo;s leading financial derivatives institutions.</li><li>
Competitive salary plus performance-based incentives.</li><li>
Access to a dynamic, international, and fast-growing environment.</li><li>
Strong opportunities for career progression within a global financial group.</li><li>
Be part of a business committed to innovation, excellence, and long-term growth.</li></ul>
Become part of our international community at MultiBank Group, dedicated to excellence, innovation, and shaping the future of finance.
MultiBank Group is an equal opportunity employer. We welcome applications from candidates of all backgrounds and do not discriminate on the basis of nationality, gender, age, religion, or disability.</div>

AI Engineer – Generative AI and Automation

Marcura

<div>The Managed Port Calls team requires a Staff AI Engineer to drive AI innovation across our Marcura platform. This role exists to architect and deliver AI-powered features that enhance operational efficiency, predictive capabilities, and decision-making for stakeholders.
The role is hands-on execution&mdash;building production-grade AI systems, mentoring engineers on AI/ML best practices, and selecting appropriate technologies and frameworks. Working closely with product, backend, and data teams, you'll embed intelligence throughout the platform while ensuring our AI solutions are scalable, reliable, and deliver measurable business value.
Sample use cases that the role will require to build and manage:
<ul><li>Convert manual processes to fully automated processes</li><li>
Partially automate processes when full automation is not achievable</li><li>
Help improve efficiency for both operations team and customers</li><li>
Reduce the amount of manual (especially repetitive) work mainly for operations team</li><li>
Predict answers to questions based on an existing historical knowledge base</li><li>
Predict costs based on historical knowledge</li><li>
Chat bot style task automation</li></ul> 

Requirements 
<ul><li>
Bachelor's Degree in Information Technology, Data Science, Machine Learning/AI, Computer Science or other relevant fields</li><li>
Minimum of 8 years of experience in relevant fields including data science and AI
</li></ul>Machine Learning &amp; AI:<ul><li>
Experience with LLMs and building AI agents using frameworks like LangChain, LangGraph, and LangSmith</li><li>
Hands-on experience with prompt engineering, RAG (Retrieval-Augmented Generation), and LLM orchestration</li><li>
Knowledge of AI agent design patterns: reasoning, planning, tool use, and memory management</li><li>
Proven experience designing, training, and deploying ML models in production environments</li><li>
Understanding of ML fundamentals and MLOps practices: model versioning, monitoring, CI/CD pipelines</li><li>
Proficiency in machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch).</li></ul>
Programming:<ul><li>
Strong coding skills in languages such as Python,
</li><li>Good to have programming experience in Java,</li><li>
Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy).</li></ul>
Cloud Computing:<ul><li>
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI models. [Azure is the preference]</li></ul>
Software Development:<ul><li>
Understanding of software development life cycle (SDLC) and agile methodologies.</li><li>
Experience with version control systems (e.g., Git).</li></ul>
Data Analysis:<ul><li>
Ability to analyze and interpret complex datasets.</li></ul>
Problem-Solving:<ul><li>
Strong analytical thinking to identify and solve operational inefficiencies.</li><li>
Ability to design and implement AI-driven solutions.</li></ul>
Communication:<ul><li>
Ability to explain complex technical concepts to non-technical stakeholders.</li><li>
Strong written and verbal communication skills.</li></ul>
Collaboration:<ul><li>
Experience working in cross-functional teams.</li><li>
Ability to collaborate with other developers, data scientists, and business analysts.</li></ul> 

Benefits 
<ul><li>
Competitive Salary and Bonus: We reward your expertise and contributions.</li><li>
Inclusive Onboarding Experience: Our onboarding program is designed to set you up for success right from day one.</li><li>
Marcura Wellness Zone: We value your work-life balance and well-being.</li><li>
Global Opportunities: Be part of an ambitious, expanding company with a local touch.</li><li>
Diverse, Supportive Work Culture: We&rsquo;re committed to inclusion, diversity, and a sense of belonging for all team members.</li></ul></div>

Generative AI Solutions Engineer

Naffco

<div>Job Summary
We are seeking an AI Engineer to lead the introduction and adoption of agentic AI technologies across the group. You will design, develop, and implement enterprise AI solutions that improve productivity, automation, decision-making, and operational efficiency across industrial, manufacturing, corporate, and support functions.
You will have hands-on experience with modern AI ecosystems, including OpenAI platforms, the Anthropic Claude ecosystem, and Microsoft Copilot Studio. You will bring expertise in enterprise architecture, data lakes, AI agents, LLM integration, and business transformation.
Key Responsibilities<ul><li>
Design and implement enterprise agentic AI solutions across key functions, including manufacturing, finance, HR, procurement, supply chain, sales, customer service, and industrial operations.</li><li>
Develop AI assistants, copilots, autonomous agents, and workflow automation using:<ul><li>
Microsoft Copilot Studio</li><li>
Azure OpenAI Service</li><li>
Anthropic Claude ecosystem</li><li>
LLM APIs and orchestration frameworks</li></ul></li><li>
Lead enterprise data lake and AI-ready platform architecture, integrating ERP, CRM, manufacturing, IoT, and operational systems.</li><li>
Partner with stakeholders to identify, evaluate, prioritize, and implement AI use cases with measurable ROI.</li><li>
Build secure AI frameworks aligned with cybersecurity, governance, compliance, and enterprise standards.</li><li>
Develop Retrieval-Augmented Generation (RAG) solutions for enterprise knowledge bases and operational data sources.</li><li>
Design AI agents for autonomous decision support, workflow execution, predictive analysis, and recommendations.</li><li>
Establish AI governance standards, responsible AI practices, model monitoring, and prompt engineering standards.</li><li>
Collaborate with infrastructure, cloud, cybersecurity, and application teams to deploy scalable AI environments.</li><li>
Run AI innovation workshops, enable users, and build internal AI capabilities.</li><li>
Support executive leadership in defining enterprise AI strategy and the product roadmap.</li></ul>
Technical Skills &amp; Requirements<ul><li>
Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or related field.</li><li>
3+ years of experience in AI/ML engineering, enterprise automation, or digital transformation.</li><li>
Strong hands-on experience with:<ul><li>
Microsoft Copilot Studio</li><li>
Azure OpenAI Service</li><li>
Anthropic Claude ecosystem</li><li>
LLM integration and prompt engineering</li><li>
AI orchestration and autonomous agents</li></ul></li><li>
Experience with Python, REST APIs, LangChain, Semantic Kernel, vector databases, embeddings, and AI workflow automation.</li><li>
Understanding of data lake architecture, ETL pipelines, structured/unstructured processing, and enterprise integrations.</li><li>
Experience integrating AI solutions with ERP systems such as Oracle ERP, HRMS, manufacturing, CRM, and industrial systems.</li><li>
Familiarity with Microsoft Azure, AWS, or Google Cloud.</li><li>
Knowledge of industrial/manufacturing environments, IoT data, predictive maintenance, and operational analytics is highly preferred.</li><li>
Experience with AI governance, cybersecurity, compliance, and enterprise architecture.</li><li>
Strong communication and stakeholder management skills.</li></ul>
Preferred Skills<ul><li>
Experience in manufacturing or industrial sectors.</li><li>
Experience with AI agents, multi-agent frameworks, and autonomous workflow systems.</li><li>
Knowledge of Power Platform, Power Automate, Fabric, Databricks, and enterprise analytics platforms.</li><li>
AI certifications from Microsoft, OpenAI, or other leading AI platforms are an advantage.</li></ul></div>

AI Engineer – Agentic AI & Enterprise Automation

University of Dubai

<div></div><div><div><div>May 12, 2026</div></div></div><div></div>
 <div><h3 class="jobSectionHeader">Job Description</h3>
Project: Agentic AI Maximo Platform Project
About the Project
The Agentic AI Maximo Platform Project is a groundbreaking initiative led by the College of Engineering and IT at the University of Dubai, in collaboration with the Islamic Affairs and Charitable Activities Department (IACAD).
 
The project enhances the IBM Maximo Application Suite by integrating an Agentic AI layer, transforming Maximo modules into intelligent, explainable agents that autonomously collaborate to deliver predictive maintenance, fraud detection, budget forecasting, and optimized resource allocation across more than 1,000 IACAD-managed facilities in Dubai. 
Role Overview
The Software Engineer will play a critical role in designing, implementing, and deploying the Agentic AI Maximo Platform.
 
The position involves the full software development lifecycle&mdash;from microservice design and integration to DevOps automation and system performance optimization.
 
This role is ideal for candidates experienced in enterprise AI integration, backend engineering, automation workflows, and large-scale data systems.
 
The Software Engineer will collaborate with researchers, AI developers, and project stakeholders to ensure the seamless and secure deployment of intelligent Maximo agents across IACAD&rsquo;s operational systems. 
Key Responsibilities
<ul><li>Agent Development &amp; Integration:
 
Design, implement, and integrate microservices for the Predict, Fraud, Budget, Scheduling, and Integration agents; connect via REST APIs, Maximo Integration Framework (MIF), and event-driven systems (Kafka/MQTT).</li>
<li>Architecture &amp; Deployment:
 
Design and manage cloud/on-premise backends, CI/CD pipelines, and containerized services to ensure high availability, reliability, and scalability of agent operations.</li>
<li>Automation &amp; Workflows:
 
Implement end-to-end automation in Maximo (e.g., auto-work order creation, 3-way invoice matching, dynamic scheduling, and cost re-forecasting) using workflow engines and intelligent triggers.</li>
<li>Web/Mobile Integration:
 
Develop interactive dashboards and mobile interfaces that visualize agent outputs (e.g., asset health indices, SLA risk scores, anomaly detection results) with human-in-the-loop feedback controls.</li>
<li>Security &amp; Compliance:
 
Enforce enterprise security standards, including Role-Based Access Control (RBAC), Segregation of Duties (SoD), encrypted communications, audit logging, and data privacy policies.</li>
<li>Performance &amp; Reliability:
 
Optimize service performance and latency for predictive and scheduling agents, apply observability tools (logging, metrics, tracing), and implement blue-green deployment strategies and uptime monitoring.</li></ul> 
Required Qualifications
Educational Background:
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Software Engineering, Artificial Intelligence, or a closely related field.</li>
</ul>Technical Skills:
<ul><li>Proven experience in backend software development using Python, Java, or Node.js.</li>
<li>Strong understanding of RESTful APIs, microservices architecture, and message-driven systems (Kafka, MQTT, or RabbitMQ).</li>
<li>Hands-on experience with CI/CD pipelines, Docker, and Kubernetes.</li>
<li>Familiarity with Maximo, enterprise asset management systems, or ERP integrations.</li>
<li>Knowledge of AI/ML deployment (MLflow, TensorFlow Serving, or FastAPI-based AI APIs).</li>
<li>Experience with databases (SQL and NoSQL) and data integration workflows.</li>
<li>Knowledge of cloud platforms (AWS, Azure, or IBM Cloud) and container orchestration.</li>
</ul>Soft Skills:
<ul><li>Strong analytical and troubleshooting abilities.</li>
<li>Excellent communication and documentation skills.</li>
<li>Ability to manage time effectively and deliver under research deadlines.</li>
<li>Collaborative mindset with experience working in interdisciplinary teams.</li></ul> 
Preferred Qualifications
<ul><li>Previous experience with IBM Maximo or other enterprise maintenance platforms.</li>
<li>Background in AI systems integration, multi-agent systems, or intelligent automation.</li>
<li>Familiarity with infrastructure-as-code (Terraform, Ansible) and monitoring tools (Prometheus, Grafana).</li>
<li>Experience contributing to applied AI or enterprise automation projects.</li></ul> 
Why Join Us?
<ul><li>Contribute to one of Dubai&rsquo;s most innovative AI transformation projects with direct societal and economic impact.</li>
<li>Work with cutting-edge AI, automation, and Maximo technologies in collaboration with IACAD and IBM.</li>
<li>Gain experience in full-stack AI systems engineering, integration, and deployment.</li>
<li>Access advanced computational resources and cloud infrastructure.</li>
<li>Opportunity to co-author technical reports and publications with leading academic and industry experts.</li></ul> 
Application Details
Applications are open until the position is filled.
 
Interested candidates should submit the following to the College of Engineering and IT, University of Dubai:
<ul><li>A detailed CV outlining relevant technical experience.</li>
<li>A cover letter explaining motivation and fit for the role.</li>
<li>Copies of academic transcripts (Bachelor&rsquo;s and/or Master&rsquo;s degrees).</li>
<li>Contact details of two professional or academic references.</li>
</ul>Expected Start Date: As soon as possible
 
Location: University of Dubai, Academic City, Dubai, UAE</div>
 <div><h2 class="jobSectionHeader">Information</h2>
<div><ul><li><div><div>Date Posted</div>
<div>May 12, 2026</div>
</div></li><li><div><div>Location</div>
<div><div>Engineering &amp; Information Technology
</div></div></div></li><li><div><div>Category</div>
<div><div><div>CEIT
</div></div></div></div></li><li><div><div>Expiration date</div>
<div>June 11, 2026</div></div></li></ul></div></div>
 <div><h2 class="jobSectionHeader">Employer Information</h2>
<div><div><div><h3 class="jobSectionHeader">College of Engineering and IT
</h3>
</div></div><div><h3 class="jobSectionHeader">Email:</h3>
<div>ceit-careers@ud.ac.ae</div></div></div></div>

Software Engineer – IACAD

The Emirates Group

<div><h5 class="jobSectionHeader">Job Purpose
</h5>At Emirates, we believe in connecting the world, to and through, our global hub in Dubai; and in constantly innovating to ensure our customers &lsquo;Fly Better&rsquo;.
Emirates Group IT thrives on the dynamic nature of technology. Being pioneers in aviation innovation, we're always at the forefront, pushing boundaries. We're on the lookout for exceptional IT professionals to fortify our position as leaders in the industry. Embark on a journey with the world&rsquo;s largest international airline and become a vital part of our cutting-edge information and technology team as Lead Quality Assurance Engineer.
Join our Quality Engineering team, where quality lies at the heart of our brand. We value diverse perspectives, backgrounds, and ways of thinking, and we are building a talented team of quality engineers. Our team ensures software quality across the entire customer journey, from ticket booking to the seamless delivery of ancillary services and the efficient operation of our airplanes. We employ a suite of testing tools and methodologies, utilizing widely used frameworks and programming languages such as Java, C#, and Python, along with innovative technologies essential for application development, testing, and deployment. We implement CI/CD pipelines and follow DevSecOps practices, dedicated to continuous improvement to enhance the customer experience. If you are passionate about shaping the future of quality engineering and contributing to the renowned success of Emirates, we invite you to apply and help to shape the future of Emirates Group.
Lead Quality Assurance Engineer will design, develop and implement quality engineering practices and processes for a team(s) within an agile release train in accordance with quality standards and best practice guidelines. Ensure adoption of modern delivery practises for quality products and services built using world class engineering practices.
This role is the Lead Quality Assurance Engineering position for Network Operations, accountable for the quality posture of a portfolio of platinum-tier, day-of-operations systems - internally developed and vendor managed - where failure is felt directly by live airline operations.
In this role you will:
<ul><li>Work closely with project members, technical product owners, architects and software engineers to understand the complete context of deliveries, translate complex functional and non-functional requirements in robust end to end tests that exercise the business process.
</li><li>Liaise with other release train teams to manage the testing of cross dependencies.
</li><li>Ensure Test Tools are configured correctly and accurately to support the collection of metrics for program and enterprise-wide dashboards.
</li><li>Support and guide Software Engineers to write and maintain automated functional tests through continuous integration.
</li><li>Implement, maintain and adapt automation frameworks. Test harnesses to make end to end tests robust.
</li><li>Ensure Quality Gate requirements are understood by the team and met.
</li><li>Support the Principal Quality Assurance Engineer with the coordination of major delivery initiatives across multiple domains and environments, ensuring no customer or business impact.
</li><li>Support the team in their development, training and understanding of technologies and processes.
</li></ul><h5 class="jobSectionHeader">Qualification
</h5>To be considered for the role, you must meet the below requirements:
<ul><li>Degree in Computer Science, Computer Engineering or related field or relevant experience. An iSQI Certified Agile Tester.
</li><li>Min of 5 years of Information technology experience (with an experience in quality engineering roles involving the building of complex, scalable and large software solutions in digital, data or enterprise domain).
</li><li>Solid experience as a Software Quality engineering lead or equivalent position looking after multiple products. Experience in providing product input on business process flows and scenario mapping for business solutions.
</li><li>Experience in understanding and applying system thinking to advanced technology solutions for large, complex organisations in a multi-functional environment. Experience with creating and maintaining large scale test data frameworks to support test automation.
</li><li>3+ years of experience using one or more of the following automation tools: Selenium components (WebDriver, Grid, etc.), Protractor, Jasmin, Cucumber, Gherkin, JUnit, TestNG.
</li><li>Experience using git SCM tools, GitHub or Bitbucket or similar tools.
</li><li>Proficiency in at least 2 different programming languages, preferably JavaScript and Java. Experienced with coding best practices and defining coding guidelines.
</li><li>Highly experienced with developing automation frameworks from scratch built for UI and API testing and integration with CI pipelines. Experience using CI tools like Jenkins, Azure DevOps or equivalent.
</li>Strong expertise with context driven and exploratory testing with practical experience of using a number of testing heuristics. 
<li>
</li></ul> 
Preferred Skills:
<ul><li>Experience working with VMs and containers both on-prem and cloud offerings like Amazon and google cloud. Aware of the latest testing and technology trends and using them to improve daily practices.
</li><li>Experience in operational environments such as Airline Operations, Crew Management, Rostering, or other real-time, high-dependency domains is strongly preferred. The role requires judgement on what matters in live operations - degraded states, recovery, disruption paths, integration risk - not just feature validation.
</li></ul>Leadership role: NO
<h5 class="jobSectionHeader">Salary &amp; benefits
</h5>Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world. Find out what it&rsquo;s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers</div>

Lead Quality Assurance Engineer

Job SummaryWe are seeking a detail-oriented Software Test Engineer to ensure the quality and reliability of software applications through effective testing processes. The candidate will work closely with development and business teams to identify issues, validate functionality, and support successful software delivery.Key Responsibilities* Analyze business and technical requirements.* Design and execute test cases, test scenarios, and test scripts.* Perform functional, regression, integration, and system testing.* Identify, document, track, and retest software defects.* Collaborate with developers and stakeholders to resolve issues.* Validate application functionality, usability, and performance.* Support User Acceptance Testing (UAT) activities.* Prepare testing documentation and test summary reports.* Ensure software quality standards and testing best practices are followed.* Participate in deployment validation and post-release testing.Required Skills &amp; Qualifications* 3&ndash;5 years of experience in Software Testing and Quality Assurance.* Strong understanding of SDLC and STLC methodologies.* Hands-on experience in manual testing.* Familiarity with defect tracking tools such as JIRA, ALM, or similar tools.* Basic knowledge of SQL and database testing.* Good analytical and problem-solving abilities.* Strong communication and teamwork skills.* Bachelor&rsquo;s degree in Computer Science, Information Technology, or related field.* Knowledge of automation testing tools is an added advantage.Work Location: In person

Software Test Engineer

Vanderlande

<div>
 
 Together we make the difference.
 
 
 
 We are a leading provider of innovative and high-performance solutions for airport logistics. Our portfolio includes products and solutions for baggage and cargo handling, high-end software for the digitalization of logistics processes as well as an extensive range of maintenance and services. Major customers include renowned airports and airlines around the globe.
 
 
 Be part of our team as a
 
 Mechanical Site Engineer (Airport BHS/Industrial Automation)
 
 in
 
 Dubai, UAE.
 
 
 
 
 What are my responsibilities?
 
 
 
 <ul>
 <li>
 Support the Site Manager regarding mechanical installation, commissioning and maintenance of equipment across various projects in the region.
 </li>
 <li>
 Guide and educate subcontractors with installation best practices.
 </li>
 <li>
 Coordinate with the construction and Procurement departments to identify the tools and consumables required for the site execution.
 </li>
 <li>
 Design and produce mechanical systems, design calculations, drawings and scope of works.
 </li>
 <li>
 Support and supervise the Installation of mechanical services for projects.
 </li>
 <li>
 Preparation of work packages for the site installation teams.
 </li>
 <li>
 Support the proposals department with input for upcoming projects and share previously learned lessons. Monitor and report on the site progress.
 </li>
 <li>
 Supporting the quality team with inspections, closing out snag points and eventual handover to the client.
 </li>
 <li>
 Identify potential risks for failures and implement preventive actions with the Engineering and Drafting teams to prevent defects in the Engineering and Drafting deliverables.
 </li>
 <li>
 Responsible for implementing and monitoring all mechanical-related works at the site as per approved drawings and methods.
 </li>
 <li>
 Accountable to follow occupational health, safety, security, environment and quality practices.
 
 
 </li>
 </ul>
 
 What do I need to qualify for the role?
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree/ Master&rsquo;s degree in Mechanical Engineering.
 </li>
 <li>
 Minimum 5 years of professional experience as a Site Engineer in Mechanical Equipment Installation &amp; Commissioning, specifically in Baggage Handling Systems (BHS), Conveyor Handling Systems, Cargo Handling Systems, Material Handling Systems, Intralogistics, or Warehouse Automation projects?
 </li>
 <li>
 Hands-on experience in AutoCAD Mechanical, REVIT.
 </li>
 <li>
 Strong knowledge of engineering analysis tools (ANSYS, ProMechanica, or similar) and mechanical design and installation practices.
 </li>
 <li>
 Effective interpersonal skills, ability to engage internal and external stakeholders, and good to have worked in multiple cultural areas.
 </li>
 <li>
 Willingness to work on projects outside of KSA.
 </li>
 <li>
 Fluent in English, Arabic or other languages would be an advantage.
 </li>
 </ul>
</div>

Mechanical Site Engineer (Airport BHS/Industrial Automation)

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