وظائف مهندس تفتيش هندسي في قطر

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span><strong>About us</strong>&nbsp;</span></p><br><p><span>Worley is a global company of energy, chemicals and resources experts headquartered in Australia. We partner with our customers to deliver projects and create value across the life of their assets. We specialize in consulting, engineering, procurement and construction across the project lifecycle, with services extending through to operations and decommissioning. Leveraging extensive experience and AI-enabled delivery, we support customers in navigating complexity as they meet today's needs and transition to more sustainable solutions.&nbsp;</span></p><br><p><span>Key Responsibilities:&nbsp;</span></p><br><ul><li><p>a { text-decoration: none; color: #464feb;}tr th, tr td { border: 1px solid #e6e6e6;}tr th { background-color: #f5f5f5;}The Principal Safety Engineer provides leadership and assurance across all phases of engineering projects (concept, FEED, detailed design, and execution).</p><br></li><li><p>The role is responsible for driving the implementation of Company's and International HSE standards and best practices, ensuring that safety is fully integrated into engineering design and operational philosophy.</p><br></li><li><p>The position leads hazard identification and risk assessment studies (HAZID, HAZOP, LOPA, SIL), develops safety philosophies and engineering solutions, and supports quantitative risk assessments, fire and explosion analysis, and functional safety lifecycle activities.</p><br></li><li><p>The Principal Engineer works closely with multidisciplinary teams and clients to ensure regulatory compliance, risk reduction (ALARP), and required safety performance.</p><br></li><li><p>Additionally, the role acts as a technical authority, guiding junior engineers, reviewing deliverables, supporting audits and safety cases, and contributing to continuous improvement of HSE practices within the organization.</p><br></li></ul><p><span><strong><u>Quality Assurance</u></strong></span></p><br><p><span>Responsible for working within the provisions and guidelines of the Quality Assurance systems.</span></p><br><p><span><strong><u>Safety:</u></strong></span></p><br><p><span>Responsible for personal safety safe working practices. Understand and follow OH&amp;S procedures</span></p><br><p><span>Promoting health, safety and environmental awareness.</span></p><br><br> <b><strong>Education – Qualifications, Accreditation, Training</strong></b><span><span>:&nbsp;</span></span><ul><li>Bachelor’s degree in Chemical, Process, or Safety Engineering from an accredited University</li><li>Master’s degree in Safety Engineering, Process Safety, Risk Engineering, or equivalent (highly desirable)</li><li>Chartered Engineer status (e.g., CEng, PE) or equivalent professional registration (highly desirable)</li><li>Recognized certifications (preferred):<ul><li>NEBOSH Diploma (International)</li><li>TÜV Functional Safety Engineer (IEC 61508 / 61511)</li><li>IChemE / IMechE / IOSH Membership (MIOSH/CMIOSH)</li><li>Certified Safety Professional (CSP) or equivalent</li></ul></li></ul><b><strong>Industry Specific Experience:</strong></b><ul><li>Vast experience in HSE / Process Safety within the Oil &amp; Gas (upstream, midstream, downstream), petrochemicals, LNG</li><li>Proven experience in engineering design or EPC environment</li><li>Demonstrated leadership in major capital projects (FEED, EPC, brownfield modifications)</li><li>Experience working with international clients, regulators, and multi-disciplinary teams</li><li><p>Prior role as&nbsp;</p><br><p>Lead / Principal HSE Engineer on Projects</p><br></li></ul><p>a { text-decoration: none; color: #464feb;}tr th, tr td { border: 1px solid #e6e6e6;}tr th { background-color: #f5f5f5;}</p><br><b><strong>Industry Technical Competencies required:</strong></b><ul><li>Extensive expertise in:<ul><li>Process Safety Management (PSM) frameworks (OSHA 29 CFR 1910.119, CCPS RBPS)</li><li>Hazard Identification &amp; Risk Assessment methodologies:<ul><li>HAZID, HAZOP, LOPA, SIL, Bowtie, QRA</li></ul></li><li>Consequence analysis and risk modeling:<ul><li>Vapor cloud explosion, dispersion, fire radiation (e.g., PHAST/Safeti knowledge)</li></ul></li><li>Functional Safety &amp; Instrumented Protection Systems:<ul><li>IEC 61508 / IEC 61511 lifecycle</li></ul></li><li>Fire &amp; Explosion Engineering:<ul><li>Passive/Active Fire Protection (PFP/AFP), FERA, EERA</li></ul></li><li>Loss Prevention philosophy and design safety principles</li></ul></li></ul><br><br><p><strong>Moving forward together</strong></p><br><p>We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. We're building a diverse, inclusive and respectful workplace. Creating a space where everyone feels they belong, can be themselves, and are heard.</p><br><p>And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there's a path for you here.</p><br><p>And there's no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change.</p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p> • Required Network Engineer with 8+ years of Cisco Data Center Networking experience. </p><p> • Strong hands-on expertise in Cisco ACI including Nexus 9K hardware, leaf?spine fabric design and sizing, ACI policy model and APIC operations. </p><p> • Solid L3 routing skills (BGP, OSPF) and data center security concepts.</p><p> • Experience with automation using REST APIs, Terraform, and Ansible.</p><p> • In-depth knowledge of ACI logical objects such as tenants, VRFs, bridge domains, EPGs, contracts, L3Out design and implementation, and service graphs with PBR.</p><p> • Hands-on experience with F5 Application Delivery Controllers (LTM, APM) and enterprise firewalls including Palo Alto, Fortinet, and Check Point. </p><p> • Strong automation and scripting skills using IaC tools (Ansible, Terraform) and CI/CD pipelines with Git-based workflows. Proficient in Linux CLI, TCP/IP, DNS, load balancing, and monitoring tools such as Prometheus, Grafana, and ELK for proactive troubleshooting. </p><p> • Load Balancing,Networking,Cisco ESA,Fortinet IPS,F5 ASM,DevOps,on-premise to Cloud migration&nbsp;</p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p> • Required Network Engineer with 8+ years of Cisco Data Center Networking experience. </p><p> • Strong hands-on expertise in Cisco ACI including Nexus 9K hardware, leaf?spine fabric design and sizing, ACI policy model and APIC operations. \</p><p> • In-depth knowledge of ACI logical objects such as tenants, VRFs, bridge domains, EPGs, contracts, L3Out design and implementation, and service graphs with PBR.</p></div>

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.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b>Infrastructure Data Engineer<br><br></b></p><p><b>Design and manage scalable data infrastructure to support operational and analytical systems.</b></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Requirements:</strong> Degree in Computer Science / IT or related 8 10+ years in data engineering Strong experience with databases and big data technologies</p><p></p></section>