وظائف مهندس انظمة مدمجة في قطر

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are looking to hire a talented QA/QC Engineer - large-scale building projects, for one of our clients, based in Qatar, Ras Laffan.<br> General requirements: Have proven experience in large-scale building construction projects, including residential, accommodation, mixed-use, institutional, or similar developments.<br> Demonstrate successful delivery of projects of comparable scale and complexity.<br> Have previous experience in Qatar; GCC experience may be considered as an alternative.<br> Hold relevant academic qualifications in Engineering or related disciplines.<br> Possess valid MMUP/UPDA registration (preferred for candidates currently in Qatar and mandatory where applicable).<br> Be capable of communicating fluently in English (written and verbal).<br> Demonstrate strong leadership, coordination, and stakeholder management skills.<br> Be familiar with QatarEnergy, major clients, consultants, and local authority requirements (preferred).<br> Implement quality assurance and quality control requirements and support inspection and testing activities Degree in Engineering.<br> Minimum 8–10 years of QA/QC experience.<br> Experience in building construction projects.<br> Familiarity with ITPs, method statements, inspections, material approvals, and quality documentation.<br> Knowledge of ISO 9001 quality management systems.<br> MMUP/UPDA certification preferred for candidates currently in Qatar.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> 1. Site Coordination<ul><li>Coordinate MEP activities with civil, architectural, and structural teams.</li><li>Ensure work sequences are properly planned to avoid clashes between trades.</li><li>Attend site coordination meetings and communicate project requirements to subcontractors.</li></ul>2. Supervision of MEP Works<ul><li>Monitor installation of HVAC, electrical, plumbing, fire fighting, and low-current systems.</li><li>Verify that work is performed according to approved drawings, specifications, and project standards.</li><li>Ensure proper workmanship and quality control.</li></ul>3. Drawing and Documentation Review<ul><li>Review shop drawings, construction drawings, and MEP layouts.</li><li>Identify and report design conflicts or site issues.</li><li>Maintain records of inspections, progress reports, and site instructions.</li></ul>4. Progress Monitoring<ul><li>Track daily and weekly progress of MEP activities.</li><li>Compare actual progress against project schedules.</li><li>Report delays and propose corrective actions.</li></ul><ul><li>Coordinate testing and commissioning activities.</li></ul>5. Health, Safety, and Environment (HSE)<ul><li>Enforce site safety procedures and regulations.</li><li>Ensure workers use proper PPE and follow safe work practices.</li><li>Report and address safety hazards promptly.</li></ul>7. Material and Resource Management<ul><li>Monitor material deliveries and storage.</li><li>Coordinate manpower, tools, and equipment requirements.</li><li>Ensure materials are available before work starts.</li></ul>8. Testing and Commissioning Support<ul><li>Coordinate system testing, inspections, and approvals.</li><li>Assist in troubleshooting installation issues.</li><li>Support final commissioning and handover processes.</li></ul>9. Client and Consultant Coordination<ul><li>Liaise with clients, consultants, and project managers regarding MEP issues.</li><li>Participate in inspections and obtain necessary approvals.</li><li>Address comments raised during inspections</li></ul> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong>Sr. Systems Analyst</strong><br> <strong>Location:</strong> Qatar<br> <strong>Role Overview:</strong><br> We are seeking an experienced <strong>Senior Systems Analyst</strong> to act as a focal point for business process support and system optimization. The role involves supporting end-users, enhancing SAP and related systems, and driving process improvements to ensure efficient project execution.<br> <strong>Key Responsibilities:</strong><ul><li>Provide <strong>first-line system support</strong> to engineering and project teams</li><li>Gather and translate <strong>business requirements</strong> into system solutions</li><li>Perform <strong>gap analysis, data analysis, and process optimization</strong></li><li>Liaise with ICT for system upgrades and enhancements</li><li>Coordinate <strong>UAT, data migration, and system implementation</strong></li><li>Develop reports, dashboards, and data models (Power BI, etc.)</li><li>Support workflow automation and business process improvements</li></ul><strong>Requirements:</strong><ul><li>Bachelor’s/Master’s in <strong>Business, IT, or related field</strong></li><li><strong>8+ years</strong> experience in business systems and data analysis</li><li>Strong experience in <strong>SAP (PS modules preferred)</strong></li><li>Expertise in <strong>data analysis, visualization, and reporting tools</strong></li><li>Knowledge of <strong>business process modelling &amp; workflow automation</strong></li><li>Strong analytical, problem-solving, and stakeholder management skills</li></ul><br>With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil &amp; Gas, Power &amp; Renewables, Chemicals, Construction &amp; Infrastructure, Life Sciences, Mining and&nbsp;Manufacturing&nbsp;sectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients. <br><br> </div>

<p>Role Overview As a Senior Software Engineer, AI Ops at Scale AI, you will own the long-term technical health, performance, and stability of AI solutions deployed across our strategic public sector partners. While our Delivery Teams build and launch new use cases, you are the technical steward ensuring these deployments operate with Operational Excellence. You will bridge software engineering, MLOps, and client governance, managing tiered SLAs, tracking model drift, and executing maintenance protocols that protect both system integrity and operational margins. Key Responsibilities Handover Gate &amp; Onboarding: Act as the technical gatekeeper during the formal transition from Delivery to Maintenance. Conduct deep-dive reviews to ensure baseline code, prompts, and architecture meet strict maintainability and documentation standards before sign-off. Tiered SLA &amp; Incident Management: Own technical response and resolution targets across multi-tiered service models (from Business-Hours Essential to 24/7 Mission-Critical). Lead Incident Governance, Root Cause Analysis (RCA), and P1/P2 mitigations within strict active support windows. AI Lifecycle Governance: Monitor production model performance, latency, and data drift. Manage prompt configuration repositories to maintain behavioral consistency and perform regression testing when LLM providers update underlying endpoints. Request Classification &amp; Technical Scope: Operationalize the boundary between Routine Maintenance (In-Scope) and System Evolution (Out-of-Scope). Assess incoming client requests and run comparative benchmarking on new AI models. Automation &amp; Reliability Engineering: Eliminate operational toil by engineering self-healing data pipelines, automated RAG indexing syncs, and telemetry tooling. Influence upstream "Delivery" teams to adopt architectural patterns that simplify ongoing maintenance. Client Technical Interface: Serve as the senior technical point of contact for government and enterprise IT leads. Translate technical AI concepts (data drift, prompt versioning, API deprecation) into clear business impacts for non-technical stakeholders.</p><p><strong>Desired Candidate Profile</strong></p><p>Ideally you'd have Background: 5+ years in Software Engineering, MLOps, SRE, or Forward Deployed Engineering in heavy data or production AI environments. Technical Stack: Advanced proficiency in Python, SQL, REST/gRPC APIs, and cloud architecture (AWS, Azure, or GCP). Hands-on experience with MLOps tooling, vector databases, and LLM orchestration frameworks (e.g., LangChain, LlamaIndex). AI Governance Expertise: Practical understanding of prompt version control, model benchmarking against evaluation datasets, RAG pipeline mechanics, and data drift detection. Engineering Mindset: A drive to build systematic, automated fixes rather than applying temporary patches. Strong grasp of CI/CD for machine learning pipelines. Client Acumen &amp; Boundary Control: Strong technical communication skills with the ability to manage client expectations, defend operational boundaries (Maintenance vs. Evolution), and advise on long-term system roadmaps.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><strong>We Are Hiring for MEP Procurement Engineer - Doha Qatar!</strong></p><br><p><strong>Job Summary</strong></p><p>Manage the procurement of MEP materials, equipment, and subcontractor services, ensuring cost-effective sourcing, quality compliance, and timely delivery to support project execution.</p><br><p><strong>Key Responsibilities</strong></p><ul><li><p>Plan and execute procurement activities for MEP projects.</p></li><li><p>Source, evaluate, and negotiate with suppliers and subcontractors.</p></li><li><p>Review technical specifications, BOQs, and material submittals.</p></li><li><p>Issue purchase orders and monitor delivery schedules.</p></li><li><p>Coordinate with engineering and project teams to meet project milestones.</p></li><li><p>Ensure compliance with project specifications, company policies, and Qatar standards.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Requirements</strong></p><ul><li><p>Bachelor's degree in Mechanical Engineering, Electrical Engineering, or a related field.</p></li><li><p>Minimum <strong>5 - 8 years</strong> of MEP procurement experience in construction projects.</p></li><li><p>Experience in the Qatar/GCC construction market is highly preferred.</p></li><li><p>Strong knowledge of HVAC, Electrical, Plumbing, Fire Fighting, and ELV systems.</p></li><li><p>Excellent negotiation, analytical, and communication skills.</p></li><li><p>Experience with ERP systems (SAP, Oracle, Microsoft Dynamics, or similar).</p></li></ul><p><strong>What We Offer</strong></p><p>✔ Competitive Salary Package<br>✔ Career Growth Opportunities<br>✔ Professional &amp; Supportive Work Environment</p><br><p>Only shortlisted candidates will be contacted. Thank you!</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>As a Traffic Engineer, you will play a vital role in ensuring the smooth and safe operation of transportation systems within infrastructure and road projects. Your expertise will be instrumental in analyzing traffic patterns, assessing road safety, and coordinating effective traffic management plans. This role offers an opportunity to contribute to Qatar's transportation infrastructure development and make a positive impact on the community's mobility and safety.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's or Master's degree in Civil Engineering, Traffic Engineering, or a related field.</li><li>Minimum of 15 years of experience in traffic engineering or a similar role.</li><li>Strong knowledge of traffic analysis techniques and road safety principles.</li><li>Proficiency in using traffic engineering software and tools.</li><li>Excellent analytical and problem-solving skills.</li><li>Ability to work independently and manage multiple projects simultaneously.</li><li>Effective communication and collaboration skills.</li><li>Familiarity with local traffic regulations and standards in Qatar.</li><li>Willingness to learn and adapt to new technologies and industry trends.</li><li>Valid professional engineering license or the ability to obtain one.</li><li>MMUP registration is mandatory.</li></ul><p></p></section>

About Agoda<br><br>At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.<br><br>Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.<br><br>No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.<br><br>Get To Know Our Team:<br><br>The Data department oversees all of Agoda’s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.<br><br>The Opportunity:<br><br>As a Senior/Staff Data Engineer in CEG (Customer Experience Group), you will help design, build, and maintain the data and software foundations that power how CEG Business users serves customers and agents across all contact channels. You will work closely with Product, Operations, Analytics, Operations Efficiency, WFM, Dev Ops and engineering teams to deliver reliable data pipelines, scalable models, internal tools, and clear insights that improve customer experience and operational efficiency.<br><br>You are comfortable switching between engineering work (pipelines, data models, internal services, tooling, optimization) and analytics work (business questions, dashboards, deep‑dive analysis). You can talk to both engineers and business stakeholders in simple, clear language. At the Staff level, you will also shape CEG’s data and tooling strategy, influence cross‑team architecture, and raise the overall engineering and data bar for the team.<br><br>What You’ll Do:<br><br>Data Engineering<br><br>Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and serve data from CEG systems (case management, telephony, chat, bots, QA tools, WFM, CRM) and third‑party tools and logs. Develop and optimize data models (e.g., warehouse tables, marts, views) that power CEG reporting, monitoring, forecasting, QA, and experimentation. Ensure data quality, reliability, and observability:Implement validation checks, anomaly detection, and monitoring for key CEG datasets and metrics. Work with stakeholders to define and enforce data definitions, SLAs, and ownership for critical tables and metrics. Improve performance and cost efficiency of data jobs and queries (e.g., partitioning, indexing, query tuning, storage format optimization) for high‑volume CEG data (calls, chats, emails, cases, events). Collaborate with data platform and engineering teams to standardize tooling and best practices (e.g., version control, CI/CD for data and services, code review, documentation, runbooks).<br><br>Data Tools & Product Development<br><br>Design and build data tools and internal products for CEG (e.g., self‑service analytics, case monitoring dashboards, alerting systems, investigator tools, QA/review tools, agent performance views). Use languages such as Python, Java, Golang, or Java Script/Type Script to implement APIs, data services, and lightweight UIs that expose data in a usable way to agents, managers, and operations teams. Work closely with CEG product managers and operations to translate operational pain points into concrete data tools, from problem framing to delivery and iteration. Apply solid software engineering practices—testing, code reviews, CI/CD, observability—to data products so they are reliable, maintainable, and easy to extend. At Staff level, define and drive the roadmap for key CEG data tools and platforms, ensuring reuse across regions, lines of business, and channels.<br><br>Data Analytics & Business Impact<br><br>Partner with CEG product and business teams to translate questions into data problems and design clear analytic approaches. Build and maintain dashboards and reports (e.g., contact volumes, handling time, quality, customer outcomes, agent performance, spot alerts) that provide reliable metrics and self‑service access to data. Perform deep‑dive analysis to understand trends in contact patterns, customer issues, agent performance, and operational efficiency; identify root causes and propose practical, data‑driven recommendations. Define and maintain metrics and KPIs (e.g., CSAT, NPS, SLA, AHT, FCR, quality scores), ensuring consistent definitions across CEG teams and tools. Communicate findings in simple, business‑friendly language, including clear implications and recommended next steps.<br><br>Stakeholder & Team Collaboration <br><br>Act as a trusted data partner for CEG stakeholders (operations leaders, product managers, WFM, QA, training, policy, and regional leadership). Work with other data engineers, analysts, and scientists to align on data standards, reusable components, and shared datasets for CEG. Mentor junior and mid‑level team members on data engineering, analytics, and software engineering best practices. Contribute to continuous improvement of team workflows (code reviews, testing, documentation, runbooks, knowledge sharing, incident reviews). At Staff level, influence cross‑team architecture and ways of working, making sure CEG’s data ecosystem scales with business growth.<br>Required Qualifications:<br><br>8+ years working as a Data Engineer, Analytics Engineer, or Data Analyst in a data‑driven environment (Staff level typically 10+ or equivalent scope/impact). Strong SQL skills (complex joins, window functions, aggregation, query optimization). Experience with at least one major data warehouse / big data technology (e.g., Big Query, Snowflake, Redshift, Hive, Spark, Vertica, Star Rocks, or similar). Solid experience with ETL/ELT tools or orchestration frameworks (e.g., Airflow, dbt, internal frameworks). Proficiency in at least one programming language for data and services (e.g., Python, Java, Golang, Kotlin, or Java Script/Type Script). Experience building production‑grade data pipelines and/or data services with attention to quality, monitoring, and maintainability. Experience with BI / visualization tools (e.g., Tableau, Power BI, Superset, Metabase, Looker). Strong analytical thinking: comfortable framing business questions, exploring data, and turning results into clear insights. Ability to communicate complex topics in simple, concise language to non‑technical stakeholders.<br><br>Preferred Qualifications:<br><br>Experience with event‑driven data (logs, clickstream, customer journey, contact flows, tracking data). Knowledge of data modeling techniques (e.g., dimensional modeling, Kimball, data vault, star/snowflake schema). Experience with A/B testing, experimentation platforms, or causal analysis. Familiarity with ML pipelines or working with data science teams (e.g., routing models, QA scoring, forecasting, recommendations). Experience in online consumer products, travel, e‑commerce, or marketplaces. Hands‑on frontend or backend development experience (e.g., building internal tools in React/Next.js, Node.js, or similar frameworks) used by operations or support teams. Prior experience in a Staff or Tech‑Lead role, driving technical direction and mentoring multiple engineers/analysts.<br><br>#sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.<br><br>We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.<br><br>Disclaimer<br><br>We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.