Mechanical Design Engineer Jobs in Qatar

Role Overview:<br><br>Design and manage scalable data infrastructure to support operational and analytical systems.<br><br>Key Responsibilities:<br><br>Build and maintain data pipelines and architectures Ensure data quality, performance, and availability Support real-time and batch data processing Collaborate with IT, security, and operations teams<br><br>Requirements:<br><br>Degree in Computer Science / IT or related8–10+ years in data engineering Strong experience with databases and big data technologies

Role Overview:<br><br>Design and manage scalable data infrastructure to support operational and analytical systems.<br><br>Key Responsibilities:<br><br>Build and maintain data pipelines and architectures Ensure data quality, performance, and availability Support real-time and batch data processing Collaborate with IT, security, and operations teams<br><br>Requirements:<br><br>Degree in Computer Science / IT or related8–10+ years in data engineering Strong experience with databases and big data technologies

Role Overview:<br><br>Design and manage scalable data infrastructure to support operational and analytical systems.<br><br>Key Responsibilities:<br><br>Build and maintain data pipelines and architectures Ensure data quality, performance, and availability Support real-time and batch data processing Collaborate with IT, security, and operations teams<br><br>Requirements:<br><br>Degree in Computer Science / IT or related8–10+ years in data engineering Strong experience with databases and big data technologies

Role Overview:<br><br>Design and manage scalable data infrastructure to support operational and analytical systems.<br><br>Key Responsibilities:<br><br>Build and maintain data pipelines and architectures Ensure data quality, performance, and availability Support real-time and batch data processing Collaborate with IT, security, and operations teams<br><br>Requirements:<br><br>Degree in Computer Science / IT or related8–10+ years in data engineering Strong experience with databases and big data technologies

Role Overview:<br><br>Design and manage scalable data infrastructure to support operational and analytical systems.<br><br>Key Responsibilities:<br><br>Build and maintain data pipelines and architectures Ensure data quality, performance, and availability Support real-time and batch data processing Collaborate with IT, security, and operations teams<br><br>Requirements:<br><br>Degree in Computer Science / IT or related8–10+ years in data engineering Strong experience with databases and big data technologies

Role Overview<br><br>Design and manage scalable data infrastructure to support operational and analytical systems.<br><br>Key Responsibilities<br><br>Build and maintain data pipelines and architectures Ensure data quality, performance, and availability Support real-time and batch data processing Collaborate with IT, security, and operations teams<br><br>Requirements<br><br>Degree in Computer Science / IT or related8–10+ years in data engineering Strong experience with databases and big data technologies

AV Designer / AV Solution Developer<br>We are looking for an experienced AV Designer / AV Solution Developer to join our growing team. Key Responsibilities Lead AV shop drawing preparation and submissions. Review tender documents, specifications, and RFQs. Prepare detailed Bills of Quantities (BOQ). Develop detailed AV system schematics and technical designs. Provide technical support and coordination with project teams. Prepare design progress reports and drawing logs. Review technical proposals and delegated design reviews. Mentor design engineers and draughtsmen. Deliver technical training to internal teams. Ensure compliance with the Company's Quality Management System.<br>Requirements Bachelor's Degree in Electronics, Electrical Engineering, Telecommunications, or a related discipline.5–7+ years of AV system design experience with a system integrator or AV consultancy. Strong knowledge of professional AV systems, signal flow, and system integration. Hands-on experience with Auto CAD, Revit, Visio, and design documentation. Experience with DSP and control systems such as Crestron, QSC, Biamp, Extron, or AMX. AVIXA CTS-D certification is highly preferred. Excellent communication, documentation, and coordination skills. Ability to manage multiple projects and work within deadlines.

We are seeking experienced Development Engineers – Aircraft Technical Support to support aircraft maintenance programmes, technical documentation, configuration management, and continuing airworthiness activities while ensuring compliance with aviation regulations and aircraft manufacturer standards.<br>Key Responsibilities:Provide engineering support for aircraft maintenance programmes and continuing airworthiness activities. Prepare, review, and maintain engineering documentation, engineering orders, and technical records. Support engineering change management and configuration control. Review aircraft manuals, Service Bulletins (SBs), Airworthiness Directives (ADs), and other engineering publications. Ensure compliance with EASA, ICAO, and aircraft manufacturer requirements. Collaborate with Maintenance, Planning, Quality, and Engineering teams to support aircraft reliability and operational readiness. Support engineering activities in Systems, Avionics, or Cabin Engineering.<br>Requirements:Bachelor's degree in Aeronautical, Aerospace, Mechanical Engineering, or a related discipline.3–5 years of experience in Aircraft Technical Support, Continuing Airworthiness (CAMO), or Aircraft Engineering Services. Hands-on experience in Systems, Avionics, or Cabin Engineering within a commercial aviation environment. Strong knowledge of aircraft maintenance programmes, engineering documentation, and technical records. Working knowledge of EASA, ICAO, and aircraft manufacturer requirements. Experience with the Airbus A320 Family or equivalent commercial aircraft is highly preferred. Strong analytical, problem-solving, communication, and teamwork skills.

We are seeking experienced Development Engineers – Aircraft Technical Support to support aircraft maintenance programmes, technical documentation, configuration management, and continuing airworthiness activities while ensuring compliance with aviation regulations and aircraft manufacturer standards.<br>Key Responsibilities:Provide engineering support for aircraft maintenance programmes and continuing airworthiness activities. Prepare, review, and maintain engineering documentation, engineering orders, and technical records. Support engineering change management and configuration control. Review aircraft manuals, Service Bulletins (SBs), Airworthiness Directives (ADs), and other engineering publications. Ensure compliance with EASA, ICAO, and aircraft manufacturer requirements. Collaborate with Maintenance, Planning, Quality, and Engineering teams to support aircraft reliability and operational readiness. Support engineering activities in Systems, Avionics, or Cabin Engineering.<br>Requirements:Bachelor's degree in Aeronautical, Aerospace, Mechanical Engineering, or a related discipline.3–5 years of experience in Aircraft Technical Support, Continuing Airworthiness (CAMO), or Aircraft Engineering Services. Hands-on experience in Systems, Avionics, or Cabin Engineering within a commercial aviation environment. Strong knowledge of aircraft maintenance programmes, engineering documentation, and technical records. Working knowledge of EASA, ICAO, and aircraft manufacturer requirements. Experience with the Airbus A320 Family or equivalent commercial aircraft is highly preferred. Strong analytical, problem-solving, communication, and teamwork skills.

We are seeking experienced Development Engineers – Aircraft Technical Support to support aircraft maintenance programmes, technical documentation, configuration management, and continuing airworthiness activities while ensuring compliance with aviation regulations and aircraft manufacturer standards.<br>Key Responsibilities:Provide engineering support for aircraft maintenance programmes and continuing airworthiness activities. Prepare, review, and maintain engineering documentation, engineering orders, and technical records. Support engineering change management and configuration control. Review aircraft manuals, Service Bulletins (SBs), Airworthiness Directives (ADs), and other engineering publications. Ensure compliance with EASA, ICAO, and aircraft manufacturer requirements. Collaborate with Maintenance, Planning, Quality, and Engineering teams to support aircraft reliability and operational readiness. Support engineering activities in Systems, Avionics, or Cabin Engineering.<br>Requirements:Bachelor's degree in Aeronautical, Aerospace, Mechanical Engineering, or a related discipline.3–5 years of experience in Aircraft Technical Support, Continuing Airworthiness (CAMO), or Aircraft Engineering Services. Hands-on experience in Systems, Avionics, or Cabin Engineering within a commercial aviation environment. Strong knowledge of aircraft maintenance programmes, engineering documentation, and technical records. Working knowledge of EASA, ICAO, and aircraft manufacturer requirements. Experience with the Airbus A320 Family or equivalent commercial aircraft is highly preferred. Strong analytical, problem-solving, communication, and teamwork skills.

Primary Purpose Of The Job<br><br>Provide professional advice, expertise and practical assistance to OV organization<br><br>in managing OV Manpower Call-Off Contract, new tendering / contractual matters (if any)<br><br>from inception of tender scope preparation until closeout of contracts.<br><br>Required Experience And Skills<br><br>15 years multi-disciplinary experience, including 10 years in an oil & gas industry<br><br>or with major industrial structures in the preparation/evaluation/negotiation of<br><br>tenders/contracts of large scale contracts with complexity and diversity.<br><br>Educational Qualifications<br><br>BSc in Engineering Discipline or Quantity Surveying. A postgraduate qualification<br><br>in Contract Management or Project Management desirable.

Primary Purpose Of The Job<br><br>Provide professional advice, expertise and practical assistance to OV organization<br><br>in managing OV Manpower Call-Off Contract, new tendering / contractual matters (if any)<br><br>from inception of tender scope preparation until closeout of contracts.<br><br>Required Experience And Skills<br><br>15 years multi-disciplinary experience, including 10 years in an oil & gas industry<br><br>or with major industrial structures in the preparation/evaluation/negotiation of<br><br>tenders/contracts of large scale contracts with complexity and diversity.<br><br>Educational Qualifications<br><br>BSc in Engineering Discipline or Quantity Surveying. A postgraduate qualification<br><br>in Contract Management or Project Management desirable.

Bachelor’s degree in Civil Engineering, Mechanical Engineering, or a related discipline. Minimum 9 years of relevant experience in water meter installation or related utility works.. Proficiency in water meter installation, operation, and maintenance. Strong knowledge of water distribution systems and smart metering technologies. Knowledge of Non-Revenue Water (NRW) management practices. Experience in testing, commissioning, and verification of utility metering systems. Ability to work in site-based environments with frequent inspections andsupervision. Written and spoken English is essential; Arabic is preferred.

Bachelor’s degree in Civil Engineering, Mechanical Engineering, or a related discipline. Minimum 9 years of relevant experience in water meter installation or related utility works.. Proficiency in water meter installation, operation, and maintenance. Strong knowledge of water distribution systems and smart metering technologies. Knowledge of Non-Revenue Water (NRW) management practices. Experience in testing, commissioning, and verification of utility metering systems. Ability to work in site-based environments with frequent inspections andsupervision. Written and spoken English is essential; Arabic is preferred.

Primary Purpose Of The Job<br><br>Provide professional advice, expertise and practical assistance to OV organization<br><br>in managing OV Manpower Call-Off Contract, new tendering / contractual matters (if any)<br><br>from inception of tender scope preparation until closeout of contracts.<br><br>Required Experience And Skills<br><br>15 years multi-disciplinary experience, including 10 years in an oil & gas industry<br><br>or with major industrial structures in the preparation/evaluation/negotiation of<br><br>tenders/contracts of large scale contracts with complexity and diversity.<br><br>Educational Qualifications<br><br>BSc in Engineering Discipline or Quantity Surveying. A postgraduate qualification<br><br>in Contract Management or Project Management desirable.

Job Purpose<br><br>Support the successful planning, preparation, execution, and close-out of turnaround activities by coordinating with the Turnaround Coordination Team, Operations, Maintenance, Inspection, Engineering, Contractors, and Support Functions.<br><br>Ensure assigned turnaround deliverables, execution readiness activities, work packages, materials, resources, and contractor requirements are effectively managed and completed in accordance with approved schedules, quality standards, HSE requirements, and turnaround procedures.<br><br>Monitor turnaround progress, support risk mitigation and scope change implementation, resolve day-to-day execution issues, and contribute to the achievement of turnaround schedule, cost, quality, and operational readiness objectives.<br><br>Key Accountabilities<br><br>Turnaround Budget<br><br>Turnaround Coordination<br><br>Materials, Resources & Contractor Coordination<br><br>Turnaround Execution & Progress Monitoring<br><br>Process improvement and documentation<br><br>Training Responsibility<br><br>Educational Qualification & Experience<br><br>Bachelor’s Degree in relevant discipline.<br><br>10-15 years direct and relevant experience.

Job Summary We are seeking an experienced Senior Java Developer to design, develop, and support enterprise-grade microservices for digital banking and enterprise applications. The ideal candidate will have strong expertise in Java 17/21, Spring Boot 3.x, RESTful APIs, Microservices Architecture, Oracle Database, CI/CD, and containerized deployments. The role involves end-to-end ownership of application components, including solution design, development, testing, deployment, production support, and performance optimization while working in Agile delivery teams. Key Responsibilities Software Design & Development Design, develop, and maintain enterprise-grade Java applications. Build scalable, secure, and high-performance microservices. Design RESTful APIs and service contracts. Implement business logic using Spring Boot 3.x. Develop reusable, maintainable, and production-ready code. Ensure coding standards and best practices are followed. Microservices Development Design microservice architecture. Define service boundaries. Develop inter-service communication mechanisms. Implement resilience, fault tolerance, and error handling. Develop API endpoints and service integrations. Implement observability, logging, and monitoring. Database Development Develop applications using Oracle Database. Design and optimize SQL queries. Implement data persistence using Spring Data JPA. Develop JPA Specifications. Perform SQL performance tuning. Optimize database access and transactions. API Development Design and develop REST APIs. Define API contracts. Integrate with internal and external systems. Support API versioning and lifecycle management. Ensure API security and performance. Testing & Quality Assurance Develop Unit Tests using JUnit 5. Write Mockito-based test cases. Develop Integration Tests. Achieve required code coverage. Perform defect analysis and bug fixing. Support User Acceptance Testing (UAT). CI/CD & Dev Ops Manage source code using Git. Support CI/CD pipelines. Build applications using Maven. Manage Maven multi-module projects. Deploy applications to:Kubernetes Open Shift Microsoft Azure Support automated deployments. Production Support Investigate production incidents. Debug application, integration, and database issues. Support release management. Perform root cause analysis. Ensure application stability and availability. Code Quality & Documentation Participate in peer code reviews. Maintain technical documentation. Document APIs and services. Ensure compliance with development standards. Maintain governed dependency management. Collaboration Work closely with:Solution Architects Business Analysts QA Engineers Dev Ops Engineers Product Owners Infrastructure Teams Participate in Agile ceremonies. Support sprint planning and backlog refinement. Education Bachelor's Degree in:Computer Science Information Technology Software Engineering Computer Engineering Or equivalent qualification Required Experience Minimum 9+ years of Java development experience. Strong hands-on experience with Java 17/21 (Java 25 exposure is an advantage). Experience building enterprise microservices. Experience in Agile software delivery. Experience supporting enterprise production environments.

Job Summary We are seeking an experienced Senior Java Developer to design, develop, and support enterprise-grade microservices for digital banking and enterprise applications. The ideal candidate will have strong expertise in Java 17/21, Spring Boot 3.x, RESTful APIs, Microservices Architecture, Oracle Database, CI/CD, and containerized deployments. The role involves end-to-end ownership of application components, including solution design, development, testing, deployment, production support, and performance optimization while working in Agile delivery teams. Key Responsibilities Software Design & Development Design, develop, and maintain enterprise-grade Java applications. Build scalable, secure, and high-performance microservices. Design RESTful APIs and service contracts. Implement business logic using Spring Boot 3.x. Develop reusable, maintainable, and production-ready code. Ensure coding standards and best practices are followed. Microservices Development Design microservice architecture. Define service boundaries. Develop inter-service communication mechanisms. Implement resilience, fault tolerance, and error handling. Develop API endpoints and service integrations. Implement observability, logging, and monitoring. Database Development Develop applications using Oracle Database. Design and optimize SQL queries. Implement data persistence using Spring Data JPA. Develop JPA Specifications. Perform SQL performance tuning. Optimize database access and transactions. API Development Design and develop REST APIs. Define API contracts. Integrate with internal and external systems. Support API versioning and lifecycle management. Ensure API security and performance. Testing & Quality Assurance Develop Unit Tests using JUnit 5. Write Mockito-based test cases. Develop Integration Tests. Achieve required code coverage. Perform defect analysis and bug fixing. Support User Acceptance Testing (UAT). CI/CD & Dev Ops Manage source code using Git. Support CI/CD pipelines. Build applications using Maven. Manage Maven multi-module projects. Deploy applications to:Kubernetes Open Shift Microsoft Azure Support automated deployments. Production Support Investigate production incidents. Debug application, integration, and database issues. Support release management. Perform root cause analysis. Ensure application stability and availability. Code Quality & Documentation Participate in peer code reviews. Maintain technical documentation. Document APIs and services. Ensure compliance with development standards. Maintain governed dependency management. Collaboration Work closely with:Solution Architects Business Analysts QA Engineers Dev Ops Engineers Product Owners Infrastructure Teams Participate in Agile ceremonies. Support sprint planning and backlog refinement. Education Bachelor's Degree in:Computer Science Information Technology Software Engineering Computer Engineering Or equivalent qualification Required Experience Minimum 9+ years of Java development experience. Strong hands-on experience with Java 17/21 (Java 25 exposure is an advantage). Experience building enterprise microservices. Experience in Agile software delivery. Experience supporting enterprise production environments.

Job Description<br><br>Must Have<br><br> 4+ years of software or machine-learning engineering experience, including hands-on experience deploying models to production. Demonstrated track record operationalizing models developed by data scientists into reliable, scalable, and observable production systems. Production experience with classical machine-learning workloads — distinct from generative-AI application development. Strong collaboration skills across data science, software engineering, and platform teams. Commitment to building reliable, well-engineered, and maintainable systems. <br><br>Nice to Have<br><br> Experience with feature stores and large-scale or streaming data pipelines. Knowledge of infrastructure-as-code (e.g., Terraform) and cloud cost optimization. Experience with workflow orchestration tools (e.g., Apache Airflow). Familiarity with model-serving frameworks and API design for inference. Light exposure to generative-AI or LLM deployment. Experience operating systems in a regulated or enterprise environment. Cloud or MLOps certifications. <br><br>Responsibilities<br><br> Build, deploy, and maintain production machine-learning pipelines, from data ingestion and feature processing through to model serving. Operationalize models developed by data scientists, ensuring reliability, scalability, reproducibility, and performance. Implement MLOps practices including CI/CD for machine learning, model versioning, automated retraining, and model registries. Design and maintain feature pipelines and, where relevant, feature stores. Set up monitoring and alerting for model performance, data drift, and system health, and respond to degradation. Optimize inference latency, throughput, and resource cost for deployed models. Containerize and orchestrate machine-learning workloads using Docker and Kubernetes on Oracle Cloud Infrastructure (OCI). Automate and harden data and model workflows to reduce manual intervention. Collaborate with data scientists on model handoff, packaging, and success metrics. Work with software engineers to integrate models into client-facing applications and services. Apply software-engineering best practices including testing, code review, and documentation to machine-learning systems. Troubleshoot and resolve production issues across the model-serving stack. <br><br>Qualifications<br><br> Bachelor's degree in Computer Science, Software Engineering, or a related field; equivalent experience accepted. Strong Python engineering skills and production experience with ML frameworks such as scikit-learn, Tensor Flow, or PyTorch. Hands-on experience with MLOps tooling (e.g., MLflow, Kubeflow) and CI/CD pipelines. Proficiency with containerization and orchestration (Docker, Kubernetes). Experience building and maintaining data pipelines and processing large datasets. Experience with cloud infrastructure, ideally Oracle Cloud Infrastructure (OCI) and OCI Data Science. Understanding of model monitoring, drift detection, and retraining strategies. Solid software-engineering fundamentals including testing and version control.

Job Description<br><br>Must Have<br><br> 4+ years of software or machine-learning engineering experience, including hands-on experience deploying models to production. Demonstrated track record operationalizing models developed by data scientists into reliable, scalable, and observable production systems. Production experience with classical machine-learning workloads — distinct from generative-AI application development. Strong collaboration skills across data science, software engineering, and platform teams. Commitment to building reliable, well-engineered, and maintainable systems. <br><br>Nice to Have<br><br> Experience with feature stores and large-scale or streaming data pipelines. Knowledge of infrastructure-as-code (e.g., Terraform) and cloud cost optimization. Experience with workflow orchestration tools (e.g., Apache Airflow). Familiarity with model-serving frameworks and API design for inference. Light exposure to generative-AI or LLM deployment. Experience operating systems in a regulated or enterprise environment. Cloud or MLOps certifications. <br><br>Responsibilities<br><br> Build, deploy, and maintain production machine-learning pipelines, from data ingestion and feature processing through to model serving. Operationalize models developed by data scientists, ensuring reliability, scalability, reproducibility, and performance. Implement MLOps practices including CI/CD for machine learning, model versioning, automated retraining, and model registries. Design and maintain feature pipelines and, where relevant, feature stores. Set up monitoring and alerting for model performance, data drift, and system health, and respond to degradation. Optimize inference latency, throughput, and resource cost for deployed models. Containerize and orchestrate machine-learning workloads using Docker and Kubernetes on Oracle Cloud Infrastructure (OCI). Automate and harden data and model workflows to reduce manual intervention. Collaborate with data scientists on model handoff, packaging, and success metrics. Work with software engineers to integrate models into client-facing applications and services. Apply software-engineering best practices including testing, code review, and documentation to machine-learning systems. Troubleshoot and resolve production issues across the model-serving stack. <br><br>Qualifications<br><br> Bachelor's degree in Computer Science, Software Engineering, or a related field; equivalent experience accepted. Strong Python engineering skills and production experience with ML frameworks such as scikit-learn, Tensor Flow, or PyTorch. Hands-on experience with MLOps tooling (e.g., MLflow, Kubeflow) and CI/CD pipelines. Proficiency with containerization and orchestration (Docker, Kubernetes). Experience building and maintaining data pipelines and processing large datasets. Experience with cloud infrastructure, ideally Oracle Cloud Infrastructure (OCI) and OCI Data Science. Understanding of model monitoring, drift detection, and retraining strategies. Solid software-engineering fundamentals including testing and version control.