software engineer

civil engineer

cloud engineer

ai engineer

civil technician

ci cd engineer

Devoteam

<div>
 
 Tech for People Unlocks the Future
 
 
 
 At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.
 
 
 With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.
 
 
 
 Devoteam Culture &amp; Values:
 
 
 
 True innovation is born from a powerful culture, fused with meaningful values.
 
 
 
 Culture:
 
 
 
 
 Fair and courageous
 
 
 
 Everyone is treated fairly &ndash; this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it.
 
 
 
 Ambition and results
 
 
 
 Ambition is nurtured at every step &ndash; this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint.
 
 
 
 Learning and innovating
 
 
 
 Curiosity and learning are at our core &ndash; this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence.
 
 
 
 Caring and sharing
 
 
 
 A caring attitude is infused into our culture &ndash; this encourages sharing. We believe in the power of teams, we promote support and collaboration.
 
 
 At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,
 
 
 
 Values:
 
 
 
 <ul>
 <li>
 Respect
 </li>
 <li>
 Frankness
 </li>
 <li>
 Passion
 
 
 
 </li>
 </ul>
 
 Job Description
 
 
 
 A Data Engineer is expected to develop, monitor, and optimize data quality rules and processes to ensure reliable and accurate enterprise data.
 
 
 They identify and resolve data anomalies through profiling, cleansing, and validation workflows.
 
 
 The role ensures that business decisions are driven by complete, consistent, and high-integrity data across systems.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design, implement, and maintain data quality frameworks, rules, and processes to ensure the accuracy, completeness, and reliability of enterprise data.
 </li>
 <li>
 Collaborate with data governance, MDM, and data integration teams to enforce consistent data quality standards across systems.
 </li>
 <li>
 Conduct data profiling, anomaly detection, and validation to identify quality gaps and root causes.
 </li>
 <li>
 Develop automated data quality checks and workflows for continuous monitoring and remediation.
 </li>
 <li>
 Define and manage key data quality metrics (DQ KPIs) and build dashboards to visualize performance trends.
 </li>
 <li>
 Document data quality rules, issue logs, and remediation actions as part of the data governance framework.
 </li>
 <li>
 Work closely with business data stewards and domain owners to define data quality expectations and acceptance thresholds.
 </li>
 <li>
 Support audits, compliance reviews, and data management maturity assessments by providing DQ evidence and reports.
 </li>
 <li>
 Lead the design and deployment of scalable data quality solutions across multiple data domains and systems.
 </li>
 <li>
 Define enterprise data quality standards, policies, and rule frameworks aligned with governance strategy.
 </li>
 <li>
 Establish data quality scorecards, thresholds, and escalation workflows for high-impact issues.
 </li>
 <li>
 Conduct root cause analysis and lead remediation programs for chronic data issues.
 </li>
 <li>
 Mentor junior engineers and promote data quality best practices across teams.
 </li>
 <li>
 Participate in compliance with the local data management regulations (e.g. NDMO, NDI).
 </li>
 <li>
 Design, build, and maintain scalable, secure, and robust data pipelines for efficient data ingestion and transformation, with a strong focus on building quality checks into the infrastructure itself.
 </li>
 <li>
 Collaborate with cross-functional and leadership teams (Data Scientists, Analysts, and Business Leaders) to translate complex business requirements into technical data quality solutions.
 </li>
 <li>
 Research, evaluate, and recommend new data quality tools, technologies, and practices to enhance the reliability, security, and scalability of the data infrastructure.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Management, or related discipline.
 </li>
 <li>
 5+ years of experience in Data Quality, Data Governance, or Data Engineering roles.
 </li>
 <li>
 Proven hands-on experience with enterprise DQ tools (e.g., Informatica DQ/IDMC, Ataccama, Talend DQ, SAS DQ).
 </li>
 <li>
 Strong expertise in data profiling, rule design, standardization, and exception management.
 </li>
 <li>
 Proficiency in SQL and scripting (Python, Shell, or Scala) for advanced data validation.
 </li>
 <li>
 Deep understanding of data governance frameworks and collaboration with data stewards.
 </li>
 <li>
 Ability to design DQ dashboards, scorecards, and KPIs to monitor performance.
 </li>
 <li>
 Strong communication skills for presenting findings and recommendations to business stakeholders.
 </li>
 <li>
 Experience mentoring junior engineers or managing small DQ workstreams.
 </li>
 <li>
 CDMP Associate Certificate and/or Informatica IDQ Certificate and/or IDMC DQ Certificate
 </li>
 <li>
 Experience defining data quality strategy and embedding DQ into enterprise data platforms (MDM, DWH, Data Lake).
 </li>
 <li>
 Understanding of data lineage, root cause analysis, and impact assessment.
 </li>
 <li>
 Knowledge of metadata management and integration with data catalogs.
 </li>
 <li>
 Familiarity with regulatory and compliance requirements (e.g., NDMO, NDI).
 </li>
 <li>
 Ability to automate DQ workflows through orchestration or CI/CD pipelines.
 
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 Business Unit: Data &amp; Intelligence
 
 
 
 
 Level: Mid - Senior Level
 
</div>

Data Engineer

TAWANTECH

<div>Job Summary
We are seeking an experienced T24 System Architect with deep expertise in Temenos Transact (T24) to design, implement, upgrade, and maintain Core Banking environments. The ideal candidate will lead T24 architecture initiatives, oversee system deployments, optimize performance, and ensure the stability, scalability, and availability of mission-critical banking platforms.
The successful candidate should possess strong hands-on experience with TAFC/TAFJ architecture, infrastructure design, environment management, system integration, and production support across the complete implementation lifecycle.
Key ResponsibilitiesSystem Architecture<ul><li>
Design and maintain scalable, secure, and highly available Temenos T24 system architectures.
</li><li>Define deployment architecture and environment strategies for Development, SIT, UAT, DR, and Production.
</li><li>Lead T24 infrastructure planning, sizing, and capacity management.
</li><li>Ensure high availability, disaster recovery readiness, and business continuity.
</li></ul>Implementation &amp; Deployment<ul><li>
Lead end-to-end T24 implementation and deployment activities.
</li><li>Plan and execute T24 installation, configuration, upgrades, and migrations.
</li><li>Support TAFC to TAFJ migration projects.
</li><li>Coordinate production deployments and Go-Live activities.
</li><li>Prepare deployment plans and rollback strategies.
</li></ul>System Administration<ul><li>
Administer Temenos T24 environments.
</li><li>Configure Single Instance and Multi-Instance environments.
</li><li>Monitor system health and availability.
</li><li>Troubleshoot production incidents and system failures.
</li><li>Perform patch management and system upgrades.
</li></ul>Performance &amp; Infrastructure<ul><li>
Optimize COB performance and batch processing.
</li><li>Perform system performance tuning.
</li><li>Monitor CPU, memory, storage, and application performance.
</li><li>Analyze bottlenecks and recommend infrastructure improvements.
</li></ul>Integration<ul><li>
Design and support integration between T24 and external systems.
</li><li>Manage Web Services and API connectivity.
</li><li>Support SWIFT integrations.
</li><li>Configure and troubleshoot IBM MQ messaging.
</li><li>Collaborate with middleware teams.
</li></ul>Middleware &amp; Database
Work with:<ul><li>
IBM WebSphere
</li><li>JBoss Enterprise Application Server
</li><li>IBM MQ
</li><li>Oracle Database
</li><li>Microsoft SQL Server
</li></ul>Support database connectivity, application servers, and middleware performance.
Operating Systems<ul><li>
Administer Linux and Unix servers.
</li><li>Manage shell scripts and scheduled jobs.
</li><li>Perform server monitoring and troubleshooting.
</li></ul>Project Delivery<ul><li>
Support Core Banking implementation projects.
</li><li>Participate in architecture reviews.
</li><li>Prepare technical documentation.
</li><li>Mentor junior T24 engineers and administrators.
</li>Collaborate with Infrastructure, Development, Database, Security, and Business teams. 
<li>
</li></ul> 
 
Requirements 
Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
Minimum 8 years of experience in Temenos T24.
Strong experience in Core Banking implementations.
Experience in large-scale banking transformation projects.
Required Technical Experience
Strong hands-on experience with:
Temenos Transact (T24)
TAFC
TAFJ
T24 Architecture
System Administration
Environment Management
Multi-Instance Configuration
Performance Tuning
COB Optimization
Deployment Automation
Go-Live Support
Upgrade Projects
Disaster Recovery
High Availability
Infrastructure &amp; Middleware
Experience with:
IBM WebSphere
JBoss
IBM MQ
Oracle Database
Microsoft SQL Server
Linux
Unix
Integration Experience
Experience in:
Web Services
REST APIs
SWIFT Integration
Middleware Integration
Interface Management
Preferred Experience
TAFC to TAFJ Migration
Cloud-based deployments
CI/CD pipelines
Automation scripting
Banking infrastructure modernization</div>

T24 System Architect

Qualcomm

<div><h2 class="jobSectionHeader">Company:
</h2>Qualcomm Middle East Information Technology Company LLC
<h2 class="jobSectionHeader">Job Area:
</h2>Engineering Group, Engineering Group &gt; Systems Engineering
General Summary:
About Us
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all.
As a Qualcomm Datacenter AI Systems Engineer focused on AI Inference Platforms and Competitive Analysis, you will evaluate, benchmark, optimize, and validate end-to-end AI inference solutions built on Qualcomm AI accelerators. You will analyze real-world customer deployments, assess competitive platforms, and develop fact-based insights on performance, scalability, ecosystem readiness, and operational simplicity across modern GenAI workloads including LLMs, VLMs, RAG, and agentic applications.
About the role
In this role, you will work across hardware, software, frameworks, and deployment architectures to identify differentiators, gaps, and opportunities that shape Qualcomm's AI platform roadmap and customer engagement strategy. You will collaborate closely with architecture, product, systems, customer engineering, business development, and ecosystem teams to establish Qualcomm AI accelerators as a leading platform for enterprise AI inference deployments.
Minimum Qualifications:
<ul><li>Bachelor&rsquo;s degree in engineering, computer science, or Data Science with 8+ years of experience
</li><li>Master's degree in Engineering, Computer Science, Data Science or related field and 4+ year of related work experience.
</li></ul>OR
<ul><li>PhD in Engineering, Computer Science, or related field and 4+ years of Experience.
</li></ul>Required Skills:
<ul><li>Strong proficiency in Python and common AI/ML frameworks such as PyTorch, TensorFlow, or ONNX.
</li><li>Solid understanding of ML model development, deployment, and AI inference concepts for datacenter workloads.
</li><li>Strong foundation in system performance profiling, benchmarking, parallel computing, and workload analysis.
</li><li>Working knowledge of Linux-based development, containerized deployment, and cloud-native infrastructure concepts.
</li><li>Strong analytical, communication, and cross-functional collaboration skills with the ability to summarize technical findings clearly.
</li></ul>Preferred Qualifications:
<ul><li>Master's or PhD degree in Engineering, Computer Science, Information Systems, Electrical Engineering, Physics, or a related technical field with 4+ years of experience.
</li><li>Strong understanding of GenAI and enterprise inference workloads, including LLMs, VLMs/LVMs, embeddings, diffusion models, RAG pipelines, agents, and multi-turn application patterns.
</li><li>Hands-on experience evaluating AI accelerator platforms and deployment ecosystems, including Qualcomm AI inference accelerators and competitive platforms such as NVIDIA and AMD.
</li><li>Experience with production inference frameworks and serving stacks such as vLLM, Triton Inference Server, TensorRT-LLM, SGLang, KServe, Ray Serve, TorchServe, or equivalent model-serving technologies.
</li><li>Deep understanding of inference performance fundamentals, including prefill/decode behavior, KV-cache utilization, batching, scheduling, quantization, memory bandwidth, latency, throughput, TTFT, TPOT, and scaling efficiency.
</li><li>Experience designing and executing fact-based competitive benchmarks across single-node and multi-node deployments using representative customer workloads, model configurations, and deployment patterns.
</li><li>Knowledge of distributed inference architectures, including tensor parallelism, pipeline parallelism, expert parallelism/MoE serving, disaggregated serving, routing, autoscaling, and cluster-level orchestration.
</li><li>Experience with containerized and cloud-native deployment workflows using Docker, Kubernetes, Helm, GitOps, CI/CD, observability stacks, and infrastructure automation.
</li><li>Ability to assess ecosystem readiness, operational simplicity, tooling maturity, model onboarding complexity, reference architectures, observability, supportability, and deployment documentation quality.
</li><li>Background in compiler/runtime optimization, graph lowering, operator fusion, kernel optimization, or hardware-aware model optimization for ML workloads is a plus.
</li><li>Experience conducting technical competitive analysis across AI hardware platforms, frameworks, software ecosystems, deployment architectures, and customer workflows.
</li><li>Experience building customer-facing technical collateral, competitive positioning, deployment guides, benchmark reports, executive briefings, and gap analysis for AI infrastructure products.
</li><li>Strong cross-functional collaboration skills with demonstrated ability to work across product, architecture, engineering, customer engineering, business development, and ecosystem partner teams in a matrixed organization.
</li></ul>Principal Duties and Responsibilities will include:
<ul><li>End-to-end competitive analysis for Qualcomm AI inference accelerators across hardware, software, model-serving frameworks, deployment workflows, and customer-facing GenAI inference solutions.
</li><li>Evaluate real customer deployment patterns, including LLM/VLM serving, RAG, agentic workflows, embedding services, multi-model applications, and enterprise inference pipelines, to identify where Qualcomm leads, is at parity, or has gaps.
</li><li>Develop objective benchmark methodologies and execute performance studies covering latency, TTFT, TPOT, throughput, tokens/sec/user, concurrency, utilization, power efficiency, cost efficiency, and single-node and multi-node scaling.
</li><li>Compare Qualcomm solutions against competitive platforms such as NVIDIA and AMD across deployment maturity, model coverage, framework support, ecosystem readiness, operational simplicity, and total solution capability.
</li><li>Analyze inference architecture tradeoffs involving vLLM, Triton Inference Server, KServe, Ray Serve, Kubernetes, orchestration layers, KV-cache management, batching strategies, quantization, and distributed serving patterns.
</li><li>Drive model onboarding prioritization by studying competitive usage, customer demand, model popularity, framework adoption, and readiness gaps across open-source and enterprise GenAI workloads.
</li><li>Build and maintain reference architectures, deployment playbooks, sizing guidance, reproducible benchmark recipes, and customer-ready solution blueprints for Qualcomm AI inference platforms.
</li><li>Partner with architecture, compiler, runtime, framework, systems, and product teams to translate competitive findings into product requirements, roadmap priorities, optimization opportunities, and ecosystem investments.
</li><li>Perform system-level debugging and root-cause analysis across model, framework, runtime, driver, hardware, networking, memory, and orchestration layers to explain performance or deployment gaps.
</li><li>Create clear, fact-based competitive positioning, leadership readouts, technical reports, and customer-facing collateral that communicate differentiators, risks, gaps, and recommended actions.
</li><li>Collaborate with customer engineering, business development, sales, and partner teams to support customer evaluations, proof-of-concepts, competitive bakeoffs, and deployment activities.
</li><li>Stay current with the evolving AI inference ecosystem, including emerging models, serving frameworks, accelerator platforms, open-source projects, benchmarking practices, and enterprise deployment trends.
</li></ul>What's on Offer
Apart from working with great people, we offer the below:
<ul><li>Salary including housing &amp; transport allowance
</li><li>Stock (RSU's) and performance related bonus
</li><li>16 weeks fully paid Maternity Leave
</li><li>6 weeks fully paid Paternity Leave
</li><li>Employee stock purchase scheme
</li><li>Child Education Allowance
</li><li>Relocation and immigration support (if needed)
</li><li>Life and Medical Insurance
</li><li>Live+ Well Reimbursement for health and recreational membership fees
</li></ul>Minimum Qualifications:
<ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
</li></ul>OR
 
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
 
OR
 
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
<div>Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
</div>Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers .</div>

Data Center AI Systems Engineer (Competitive Analysis) - Riyadh, KSA

QuantumBlack, AI by McKinsey

<div>
 
 Who You'll Work With
 
 
 
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
 
 
 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
 
 
 When you join us, you will have:
 
 
 <ul>
 <li>
 Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
 </li>
 <li>
 A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
 </li>
 <li>
 Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
 </li>
 <li>
 World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
 
 
 </li>
 </ul>
 
 Your Impact
 
 
 
 As a Software Engineer with Tech &amp; AI at McKinsey, you will work with clients across a wide range of sectors and industries, advising them on how to best leverage technology.
 
 
 You will drive architectural design, make key technology decisions, and employ agile methodologies to build and deliver the next generation of products for our clients at scale.
 
 
 You will also lead project workstreams, helping clients build their technical capabilities and foster a culture centered around engineering best practices, user-centricity, and Agile values.
 
 
 As a core member of the team, you will take on responsibilities that include driving architectural design and making strategic technology decisions to shape next-generation products for various internal teams, ensuring that we remain at the forefront of technological innovation.
 
 
 Additionally, you will be hands-on and co-creating solutions alongside our clients and their leadership, enabling you to grow into a recognized technology leader.
 
 
 You will be part of the McKinsey Digital team in Riyadh, Saudi Arabia. This group brings together the best of McKinsey&rsquo;s digital capabilities to help our clients use digital technology to transform their businesses.
 
 
 McKinsey Digital is our tech delivery people unit. A global team of software, data and cloud engineers, passionate designers, technology architects, product owners, and leading technologists.
 
 
 You will join a multidisciplinary community of developers, Agile coaches, designers, business strategists and experts. Together, we will design and create industry shaping products and tools for our clients.
 
 
 While we advocate for using the right tech for the right task, we often leverage the following technologies: JavaScript, TypeScript, React.js, Angular.js, Next.js, Vue.js, Python, Java, C#, NodeJS, SQL, MongoDB, AWS, Azure, GCP, and more!
 
 
 Our office culture is casual and social, with an emphasis on education and innovation. You will have the freedom to try new ideas and experiment in your role and will be guaranteed significant dedicated time to tinker, create, continuously learn and share cool new stuff. We also have a strong emphasis in our teams on mentoring others enabling them to grow and learn.
 
 
 Changing the world requires us to sit with our clients at times, so some travel is expected in this role.
 
 
 
 Your Qualifications and Skills
 
 
 
 <ul>
 <li>
 Undergraduate or master&rsquo;s degree; or equivalent experience
 </li>
 <li>
 5+ years of experience in software development, with significant full-stack web application development experience strongly preferred
 </li>
 <li>
 Demonstrated knowledge and hands-on experience across the full application stack with some of the following languages/frameworks: JavaScript, TypeScript, React, Angular, Vue, jQuery, Java, Sprint, C#, .NET, Node.js, SQL, MySQL, SQL Server, MongoDB, cloud-native databases, AWS, Azure, GCP, Jenkins, Docker, Circle CI, Travis
 </li>
 <li>
 Experience leading in Agile teams, including coaching and modeling Agile mindsets as part of sprint ceremonies, work definition and building developer capabilities
 </li>
 <li>
 Experience working collaboratively with technical and non-technical team members and stakeholders including modeling and coaching others to use engineering best practices such as design patterns, customer-centric design, test-driven development, code refactoring, code review, and OWASP Top 10 security awareness
 </li>
 </ul>
</div>

Software Engineer II - QuantumBlack, AI by McKinsey

Albawani | البواني

<div>
 
 
 Job Title: Junior Mechanical Engineer
 
 
 
 
 Job Location: Saudi Arabia
 
 
 
 
 
 
 
 Role Purpose:
 
 
 
 The Junior Mechanical Engineer supports the delivery of mechanical works by assisting in the review, coordination, and implementation of design and construction activities on site.
 
 
 Working under the guidance of the Senior Mechanical Engineer and reporting to the Design Manager, the role contributes to shop drawing reviews, site inspections, technical documentation, and multidisciplinary coordination to ensure works are executed in accordance with approved drawings, specifications, and project requirements.
 
 
 The role is primarily site-focused, with responsibility for resolving day-to-day construction issues and supporting technical workflows. As part of this, the Mechanical Engineer is expected to actively contribute to drafting, detailing, and preparation of sketches, mark-ups, and redline drawings using CAD/BIM tools where required (e.g., routing adjustments, coordination fixes, temporary works), ensuring timely and practical solutions without over-reliance on dedicated drafting resources.
 
 
 
 
 
 
 Key Accountabilities
 
 
 
 
 Key Activities
 
 
 
 
 Design, Site &amp; Construction Support (Mechanical)
 
 
 <ul>
 <li>
 Provide day-to-day mechanical engineering support on site, addressing construction queries, RFIs, and technical clarifications.
 </li>
 <li>
 Review mechanical works (HVAC, plumbing, fire protection, etc.) to verify compliance with approved drawings and specifications.
 </li>
 <li>
 Identify mechanical site issues, discrepancies, or non-conformances and report to the Senior Mechanical Engineer.
 </li>
 <li>
 Coordinate mechanical activities with structural, architectural, electrical, and fit-out works to avoid clashes and execution conflicts.
 </li>
 <li>
 Support inspections, testing, and commissioning activities for mechanical systems.
 </li>
 <li>
 Prepare and update sketches, mark-ups, and simple mechanical drawings/details using CAD tools to support site execution.
 </li>
 <li>
 Assist in producing redline drawings and as-built markups based on actual site conditions.
 </li>
 <li>
 Provide hands-on drafting support (AutoCAD/Revit/BIM tools) when required to resolve site issues efficiently.
 </li>
 <li>
 Ensure all issued sketches and drawings are clear, coordinated, and aligned with approved design intent.
 </li>
 </ul>
 
 
 Shop Drawings, Submittals &amp; As-Built Support
 
 
 <ul>
 <li>
 Review mechanical shop drawings, material submittals, and method statements under supervision.
 </li>
 <li>
 Ensure compliance with design intent, specifications, and project standards.
 </li>
 <li>
 Assist in preparing technical comments and tracking submittal status.
 </li>
 <li>
 Verify that approved shop drawings and materials are properly implemented on site.
 </li>
 <li>
 Support preparation and validation of mechanical as-built drawings and documentation.
 </li>
 </ul>
 
 
 Technical Queries, RFIs &amp; NCR Management
 
 
 <ul>
 <li>
 Assist in preparing responses to RFIs, Technical Queries (TQs), and site clarifications.
 </li>
 <li>
 Support investigation and close-out of NCRs, observations, and quality issues.
 </li>
 <li>
 Coordinate with the Senior Mechanical Engineer to resolve technical and coordination issues.
 </li>
 <li>
 Maintain records of technical correspondence and site decisions.
 </li>
 </ul>
 
 
 Coordination &amp; Communication
 
 
 <ul>
 <li>
 Coordinate with site engineers, subcontractors, and suppliers on mechanical matters.
 </li>
 <li>
 Interface with other disciplines (Architectural, Structural, Electrical, etc.) for coordinated delivery.
 </li>
 <li>
 Attend coordination meetings and provide updates to senior team members.
 </li>
 <li>
 Ensure proper use of document control systems and project workflows.
 </li>
 </ul>
 
 
 Continuous Improvement &amp; Knowledge Sharing
 
 
 <ul>
 <li>
 Develop knowledge of mechanical systems, installation practices, and coordination processes.
 </li>
 <li>
 Support lessons learned and continuous improvement initiatives.
 </li>
 <li>
 Seek guidance from senior engineers and contribute to team knowledge sharing.
 </li>
 <li>
 Promote best practices in mechanical construction quality and execution.
 </li>
 </ul>
 
 
 JOB SPECIFICATIONS
 
 
 
 
 Industry / Domain
 
 
 <ul>
 <li>
 Design &amp; Build engineering projects within the construction industry
 </li>
 <li>
 Multidisciplinary coordination across design and site delivery stages
 </li>
 <li>
 Mechanical systems implementation including HVAC, plumbing, and fire protection systems
 </li>
 </ul>
 
 
 Necessary Knowledge and Experience
 
 
 <ul>
 <li>
 Minimum 4&ndash;7 years of relevant experience in mechanical engineering within construction or design-build environments
 </li>
 <li>
 Experience in reviewing drawings, submittals, and supporting site execution
 </li>
 <li>
 Basic understanding of HVAC, plumbing, and fire protection systems
 </li>
 <li>
 Familiarity with multidisciplinary coordination and construction workflows
 </li>
 <li>
 Good command of English (written and spoken)
 </li>
 </ul>
 
 
 Education and Certification Minimum Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Mechanical Engineering
 </li>
 <li>
 Professional certification is an advantage but not mandatory
 </li>
 </ul>
 
 
 Job Specific and Technical Skills
 
 
 <ul>
 <li>
 Working knowledge of AutoCAD, Revit, and BIM tools
 </li>
 <li>
 Ability to interpret and review mechanical drawings and specifications
 </li>
 <li>
 Basic understanding of installation, testing, and commissioning processes
 </li>
 <li>
 Ability to produce basic drawings, sketches, and redlines when required to support site delivery
 </li>
 <li>
 Good organizational and documentation skills
 </li>
 <li>
 Strong attention to detail and problem-solving ability
 </li>
 </ul>
</div>

Junior Mechanical Engineer

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Job Description &ndash; System Engineer</h1>
Position: System Engineer 
Project Duration: 3 Months 
Location: Onsite 
Language: Arabic (Mandatory) 
Experience: 5+ Years 
Education: Bachelor's Degree in Information Technology or equivalent.<h2 class="jobSectionHeader">
Job Summary</h2>
We are seeking experienced System Engineers to design, implement, configure, and maintain enterprise systems supporting the Committees Management System.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Design system architecture.</li><li>
Configure servers and infrastructure.</li><li>
Install and maintain applications.</li><li>
Monitor system performance.</li><li>
Troubleshoot technical issues.</li><li>
Ensure system security and availability.</li><li>
Support deployment activities.</li><li>
Prepare technical documentation.</li></ul><h2 class="jobSectionHeader">
Required Skills</h2><ul><li>
Windows/Linux Administration</li><li>
Virtualization</li><li>
Networking</li><li>
System Monitoring</li><li>
Backup &amp; Recovery</li><li>
Security Best Practices</li><li>
Cloud Platforms</li><li>
Troubleshooting</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
Bachelor's Degree in IT or equivalent.</li><li>
Minimum 5 years of System Engineering experience.</li><li>
Arabic language proficiency is mandatory.</li><li>
Onsite availability.</li></ul>
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System Engineer

Saudi Pan Kingdom Company - SAPAC

<div>
 
 
 Technical Office Engineer &ndash; Landscaping
 
 
 
 
 
 
 
 Job Summary
 
 
 
 We are seeking a qualified Technical Office Engineer &ndash; Landscaping with a Bachelor&rsquo;s Degree in Civil Engineering to support landscaping and infrastructure projects. The candidate will be responsible for preparing shop drawings, quantity take-offs, material submittals, technical coordination, and project documentation while ensuring compliance with project specifications, design standards, and construction schedules.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Prepare and review landscaping shop drawings, as-built drawings, and technical submissions.
 </li>
 <li>
 Coordinate with consultants, site engineers, architects, and subcontractors regarding landscaping works.
 </li>
 <li>
 Perform quantity take-offs (QTO) for softscape and hardscape works, including paving, irrigation, planting, and site development items.
 </li>
 <li>
 Prepare material submittals, method statements, and technical documentation for consultant approval.
 </li>
 <li>
 Review project specifications, BOQs, and contract drawings to ensure compliance.
 </li>
 <li>
 Assist in preparing progress reports, work schedules, and project updates.
 </li>
 </ul>
 
 
 Educational Requirements
 
 
 
 
 
 
 Bachelor of Science in Civil Engineering
 
 
 
 
 
 
 Experience
 
 
 <ul>
 <li>
 Minimum 3&ndash;7 years of experience in a technical office role within landscaping or construction projects.
 </li>
 <li>
 Experience in hardscape, softscape, irrigation, and site development works is preferred.
 </li>
 </ul>
 
 
 
 
 
 Required Technical Skills
 
 
 
 AutoCAD
 
 
 Microsoft Office (Excel, Word, PowerPoint)
 
 
 Quantity Surveying &amp; Quantity Take-Off
 
 
 Shop Drawing Preparation
 
 
 Technical Submittals
 
 
 BOQ Analysis
 
 
 Knowledge of irrigation systems and landscaping standards
 
 
 
</div>

Technical Office Engineer – Landscaping

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