وظائف مدخل بيانات في مصر

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Cairo, Egypt</p><p><br><b>Job Family Group:</b></p><br>Health, Safety, Security, and Environment<p><br><b>Worker Type:</b></p><br>Regular<p><br><b>Posting Start Date:</b></p><br>July 14, 2026<p><br><b>Business Unit:</b></p><br>Integrated Gas<p><br><b>Experience Level: </b></p><br>Experienced Professionals<p><br><b>Job Description: </b></p><br><p><b>Job Profile Summary</b></p><br><p>The HSE DGM (Deputy General Manager) is a Shell employee seconded to Rashpetco Company and a member of the Rashpetco Leadership Management Team, reporting to the Rashpetco General Manager and Managing Director (MD). The role provides strategic HSE leadership for the COMPANY, ensuring regulatory compliance, strong governance, and sustained improvement in safety, environmental and asset integrity across all activities.</p><br><p>Jointly with the HSE General Manager (national counterpart) provides advice and expert support to the Rashpetco MDs and to the Company Leadership team in driving improvements in HSE performance.&nbsp;</p><br><p>The job holder will have functional link with Shell Egypt Assets HSE Manager to support alignment in key areas with the Shell Safety, Environment, Asset Management Standards, providing input into the risk analysis and management process for Shell Egypt N.V.&nbsp;</p><br><p><b>Job Description:</b></p><br><ul><li>Accountable to the Rashpetco Managing Director for executing his HSE duties as defined in the HSE Management System Documentation, in a professional and timely manner.</li><li>Accountable for delivery of the requirements under the relevant areas of Shell Safety, Environment, Asset Management Standards and associated mandatory standards applicable to Non-Operated Venture (NOV) operations.</li><li>Provides strategic advice &amp; direction for managing HSE in Operations, Drilling and Project activities and their associated contractors.</li><li>Develop and lead a journey of safety culture change from reactive to proactive through persistent observation, intervention, and constructive feedback. ·</li><li>Oversee the development and implementation of the company annual and 3-year HSE plans.</li><li>Influence the company to adopt key Shell HSE improvement tools, initiatives and assurance processes.</li><li>Ensure that the company is compliant in the matter of process safety including safety cases and asset integrity, in regular auditing supported by coaching to enhance understanding of the related risks, hazards and mitigation measures.</li><li>Agree the company HSE KPI’s and monitor performance.</li><li>Oversee the company Crisis Management and Incident Investigation systems and processes.</li><li>Actively participate in Senior Management Meetings, monthly HSE committee meetings and technical committee meetings e.g. partners’ HSE meetings and EGAS monthly HSE meetings.</li><li>Oversee the monitoring of environmental performance across the company.</li><li>Manage HSE assurance activities to ensure that HSE issues are being adequately identified and managed. Monitor action plan progress and provide assurance to the Managing Director.</li></ul><p><b>Knowledge, Competencies and Skills</b></p><br><ul><li>University level degree in engineering or another relevant field.</li><li>Minimum 20+ years’ experience in Oil &amp; Gas industry in Technical Safety/HSE.</li><li>Demonstrated professional competence in personal, operational, and process safety, as well as environmental management in the context of GHG/energy management and effluent/waste.</li><li>Firsthand exposure to venture and joint venture management, aware of business governance, risk management, performance improvement management, financial/contracts, and procurement governance controls.</li><li>Knowledge of HSSE industry codes and their application and interpretation in projects</li><li>Skill level for Technical Safety tools including HSE Cases, Bowties, HAZID, HAZOP, Layout Reviews and Optimization etc.</li><li>Hands-on experience of project work including design, engineering, contractor selection and management, construction, commissioning, workplace safety and emergency response.</li><li>Good working knowledge of Environmental Management including 14001 systems, EIAs, air and water quality requirements, waste management, greenhouse gas reduction, sustainable development and biodiversity.</li><li>Good working knowledge of Occupational Health Management, including Health risk assessments, health compliance monitoring, COSHH/MSDS, pandemic planning, medical emergency response, noise/health impact monitoring, drinking water analyses, food hygiene inspections and medical fitness examinations.</li><li>Hands-on experience of HSE auditing (Team Leader role), previous formal training desirable.</li><li>Excellent communication, influencing, stakeholder’s management and interpersonal skills to face changes and conflicts.</li><li>Able to persuade and influence range of partners and stakeholders.</li><li>Target-orientated and self-motivated, able to work under minimum supervision</li><li>Able to produce concise, well-structured reports and management system documents in English.</li><li>For offshore and remote location visits the job holder should be medically fit, and able to undertake offshore survival training.</li></ul><p><b>Organizational Structure (Internal/ External Interaction)</b></p><br><p>Lead a community of national staff between Cairo office and Idku site made up of diverse HSE functions and administrative staff to provide significant input for the development and implementation of cohesive short term and long term HSE strategies.</p><br><p>The job will involve frequent travel between Cairo and the Idku gas hub, offshore facilities and offshore drill rigs, Abu Qir base, waste disposal sites and other project locations and sites/premises.</p><br><p>Internally: the job holder interfaces with colleagues within the HSE Department and Operations, Drilling and Project personnel from General Managers down. &nbsp;</p><br><p>Meanwhile, will also be required to establish good working relationships with colleagues at management levels within Shell Egypt. The job holder will be required to work closely with the Shell Egypt HSE function to ensure alignment between Rashpetco and Shell. &nbsp;</p><br><p>Externally: the job holder interfaces with Egyptian HSE regulators, EGAS personnel and representatives from other oil and gas companies within, and external to Egypt.&nbsp;The job holder will be an advocate to stakeholders of Shell's approach to HSE risk management; will interface with contracting partners and other external stakeholders.</p><br><p>-</p><br><p><br><b>DISCLAIMER:</b></p><br>Please note: We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Shell/Shell Group companies around the world. The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell. Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand. Shell is an Equal Opportunity Employer. </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Talent.AI Lab Residency | Cairo, Egypt | 12 months About the program The Data Resident will participate in Finaira’s 12-month Talent.<br>AI Lab Residency, contributing to real-world data science and AI initiatives under the guidance of experienced engineers and mentors.<br> The role provides handson exposure to the full data and forecasting lifecycle, including data quality, feature engineering, statistical analysis, machine learning, forecasting, and behavioral segmentation.<br> Residents will conduct practical research, test new approaches, and deliver meaningful contributions through two structured rotations.<br> How you'll shape your future Work the full forecasting lifecycle on a live Finaira system: data quality, classical and deep-learning models, classification reformulation, and behavioral segmentation Run R&amp;D on open problems in the domain: benchmark newer forecasting methods honestly against established baselines and establish where they win Read current literature and turn promising ideas into tested experiments rather than summaries Complete two rotations of five to six months, each ending in a shipped contribution and a proof-ofconcept Work with a discipline mentor for each rotation, reviewed at fixed checkpoints.<br> Your two-track pairing is assigned at the end of a five-week onboarding phase, based on cohort balance and observed strengths.<br> Your starting foundation Solid Python: you have written code someone else could run Statistics, probability, and applied machine learning at working depth Data wrangling and feature work on real, messy data Comfort designing an experiment and evaluating it honestly You read technical papers without handholding Version control and reproducible code as a habit Strong signals, none required: time series work, clustering or segmentation on a real dataset, a thesis or reading group, exposure to LLM tooling.<br> What we are looking for A senior student graduating in 2027 , or a graduate within one year of graduation Major: Computer Science, Computer Engineering, AI, Data Science, Communication and Networks Engineering, Business Informatics, or Actuarial Science Professional English: you will read papers and write technical documentation Commitment: Available for the full twelve months, starting October 2026 Undergraduates: flexible hours around your timetable, minimum one on-site day per week.<br> Graduates: full-time on site with one remote day accommodated, on site throughout the first six months What you will get A dedicated mentor, and a portfolio of real contributions.<br> An optional track supports you toward publishing your research.<br> Residents who clear the bar at the final review move into defined graduation pathways.<br> Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment.<br> All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to any status protected by the laws or regulations in the locations where we operate.<br></span> </div>

<p>Job Title: Talent Acquisition Specialist Introduction to role: Are you ready to turn data, creativity, and market insight into hiring outcomes that fuel a science-led mission? Do you thrive at the intersection of strategy, analytics, and storytelling, shaping how exceptional people discover and join a company with global impact? In this role, you will design recruitment strategies, analyze performance data, and elevate talent attraction initiatives that matter. You will be empowered to own programs end-to-end partnering with internal teams and external agencies so your ideas travel quickly from concept to execution and make a visible difference for candidates, hiring teams, and, ultimately, patients. Accountabilities: Recruitment: Develop and implement targeted recruitment marketing, ensuring all candidate communications reflect the employer brand and corporate messaging. Channel Optimization: Manage and analyze referrals, job boards, social networks, and events; provide data-driven recommendations to strengthen attraction, engagement, and conversion. Feedback Intelligence: Facilitate candidate and employee feedback analysis; translate insights into process improvements that support business objectives. Stakeholder Partnership: Build trusted relationships across Hiring Managers, HR Business Partners and the global recruitment community; collaborate to deliver effective campaigns and materials. Program Leadership: Oversee and coordinate priority programs, including the Talent Intelligence Platform Launch; support university relations and career fair participation to build future pipelines. Data and Insights: Source and synthesize recruitment and organizational data; identify trends and performance opportunities; present actionable recommendations to HR Leadership. Reporting and Analytics: Produce and maintain regular reports on recruitment effectiveness, workforce analytics, and survey outcomes to inform senior leaders and drive continuous improvement. Brand and Governance: Safeguard brand consistency and candidate experience across all touchpoints; set standards and guide adoption through practical toolkits and playbooks. Continuous Improvement: Test, learn, and iterate to reduce time-to-fill and raise quality of hire; scale what works across teams and markets. Why AstraZeneca: Join a global, high-performing, digitally savvy team that accelerates how the enterprise works and grows. You will collaborate with experts from unexpected corners of the business often in the same room unleashing bold thinking and moving with speed and ownership to deliver what matters most. Your work will be seen by senior leaders, powered by modern tools and data, and directly connected to better experiences for candidates and colleagues,&nbsp;</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Talent Acquisition Experience within Multinational Companies</li><li>Relationship-building and influencing skills</li><li>Planning, organization, and attention to detail</li><li>Proficient in spoken and written English, as well as IT skills, including Microsoft Office, spreadsheets, databases, and reports, having the ability to generate significant management data.</li><li>Holds post graduate masters, diploma or international certification in the field of HR</li><li>Pharmaceutical Industry Experience is a plus</li><li>Knowledge of recruitment systems and ATS tools</li><li>Understanding of labor market trends and hiring challenges</li><li>Data analysis and recruitment reporting</li><li>Knowledge of hiring policies and compliance requirements</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Overview The VMI Analyst ensures efficient inventory management by monitoring, analyzing, and optimizing stock levels at customer or distributor locations. This role involves coordinating data flows, ensuring accuracy, and collaborating with internal stakeholders (Supply Chain, Sales, Logistics, Finance) and external partners to ensure products are available when needed, costs are optimized, and customer service levels are met. Responsibilities Inventory Monitoring &amp; Management Track customer or distributor inventory levels (by SKU), sales velocity, and consumption trends. Use VMI agreements/data sharing to trigger replenishment orders. Identify overstock and stockout risks, implement corrective actions. Maintain Days on Hand (DOH) targets. Coordinates NPD execution for his/her customer (weekly) - minimizes obsoletes and maximizing speed to shelve Order Replenishment &amp; Optimization Create and process replenishment orders, ensuring accuracy in quantities, pricing, delivery schedules. Optimize logistics (e.g. combining shipments, full truckloads) to reduce costs. Manage order changes, cancellations, exceptions. Align closely with the Transportation Team to ensure timely and accurate deliveries. Respond promptly to any transportation issues, ensuring quick problem resolution and client communication. Check Daily and Weekly reports related to orders issues like (open orders, incomplete orders, gtms…) Data Quality &amp; Systems Management Ensure data feed/flows between customer systems, PoS, ERP, and VMI tools are accurate and timely. Identify and correct data errors (discrepancies in inventory, forecasting, order processing). Be a key user / liaison for any tools supporting VMI (systems implementation, data integration, dashboards). Customer Communication &amp; Relationship Management Serve as the primary point of contact for client’s concerns. Proactively communicate Out of Stock (OOS) situations to clients in advance and collaborate with the Product Availability Team to resolve them. Host weekly operational meetings with clients and monthly business reviews with stakeholders to provide updates on KPIs, issues, and improvement actions. Maintain strong business relationships with clients and internal Business Units (BUs) to build trust and improve collaboration. Manage and respond to client inquiries via Cisco hotline during assigned shifts. Continuous Improvement Identify root causes of recurrent issues. Implement process improvements, standardization, automation where relevant. Support system rollouts or upgrades related to VMI. Qualifications Bachelor’s degree (Supply Chain / Logistics / Business / Engineering) or equivalent. Experience in supply chain / inventory management, ideally with VMI or similar models in FMCG or consumer goods. Strong analytical skills; ability to work comfortably with large data sets. Good knowledge of forecasting, inventory planning and replenishment techniques. Proficiency with relevant software: Excel (advanced), ERP tools, VMI systems, data dashboards (e.g. BI tools). Strong attention to detail, and ability to work across multiple SKUs, customers, regions. Good communication skills; capable of working with internal teams and external partners. Fluency in English/French (written &amp; spoken). Ability to handle change, ambiguity; proactive mindset.</p> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Overview The VMI Analyst ensures efficient inventory management by monitoring, analyzing, and optimizing stock levels at customer or distributor locations. This role involves coordinating data flows, ensuring accuracy, and collaborating with internal stakeholders (Supply Chain, Sales, Logistics, Finance) and external partners to ensure products are available when needed, costs are optimized, and customer service levels are met. Responsibilities Inventory Monitoring &amp; Management Track customer or distributor inventory levels (by SKU), sales velocity, and consumption trends. Use VMI agreements/data sharing to trigger replenishment orders. Identify overstock and stockout risks, implement corrective actions. Maintain Days on Hand (DOH) targets. Coordinates NPD execution for his/her customer (weekly) - minimizes obsoletes and maximizing speed to shelve Order Replenishment &amp; Optimization Create and process replenishment orders, ensuring accuracy in quantities, pricing, delivery schedules. Optimize logistics (e.g. combining shipments, full truckloads) to reduce costs. Manage order changes, cancellations, exceptions. Align closely with the Transportation Team to ensure timely and accurate deliveries. Respond promptly to any transportation issues, ensuring quick problem resolution and client communication. Check Daily and Weekly reports related to orders issues like (open orders, incomplete orders, gtms ) Data Quality &amp; Systems Management Ensure data feed/flows between customer systems, PoS, ERP, and VMI tools are accurate and timely. Identify and correct data errors (discrepancies in inventory, forecasting, order processing). Be a key user / liaison for any tools supporting VMI (systems implementation, data integration, dashboards). Customer Communication &amp; Relationship Management Serve as the primary point of contact for client s concerns. Proactively communicate Out of Stock (OOS) situations to clients in advance and collaborate with the Product Availability Team to resolve them. Host weekly operational meetings with clients and monthly business reviews with stakeholders to provide updates on KPIs, issues, and improvement actions. Maintain strong business relationships with clients and internal Business Units (BUs) to build trust and improve collaboration. Manage and respond to client inquiries via Cisco hotline during assigned shifts. Continuous Improvement Identify root causes of recurrent issues. Implement process improvements, standardization, automation where relevant. Support system rollouts or upgrades related to VMI.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Skills &amp; Qualifications: Bachelor s degree (Supply Chain / Logistics / Business / Engineering) or equivalent. Experience in supply chain / inventory management, ideally with VMI or similar models in FMCG or consumer goods. Strong analytical skills; ability to work comfortably with large data sets. Good knowledge of forecasting, inventory planning and replenishment techniques. Proficiency with relevant software: Excel (advanced), ERP tools, VMI systems, data dashboards (e.g. BI tools). Strong attention to detail, and ability to work across multiple SKUs, customers, regions. Good communication skills; capable of working with internal teams and external partners. Fluency in English/French (written &amp; spoken). Ability to handle change, ambiguity; proactive mindset.</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About the Role We are looking for a Senior AI Engineer to design, build, and operate production-grade Generative AI solutions on the Microsoft Azure AI ecosystem.<br> You will be the technical anchor for our GenAI initiatives, owning the end-to-end lifecycle: from foundation model selection and prompt/RAG architecture through deployment, MLOps, security hardening, and continuous evaluation.<br> This is a hands-on senior role.<br> You will set technical direction, mentor engineers, and work directly with product, data, security, and platform teams to move AI use cases from prototype to reliable, governed, cost-efficient services.<br> What You Will do GenAI solution design and delivery • Architect and build LLM-powered applications (RAG, agents, copilots, document intelligence, content understanding, conversational systems) using Azure AI Foundry, Azure OpenAI, and the broader Azure AI and data portfolio .<br> • Design retrieval pipelines with Azure AI Search (vector, hybrid, and semantic ranking), including chunking, embedding, indexing, and relevance tuning strategies.<br> • Evaluate, fine-tune, and deploy foundation and open-source models (e.<br>g., GPT, Phi, Llama, Mistral, Kimi, GLM) through Azure AI Foundry model catalog and Azure Machine Learning.<br> • Implement prompt engineering, orchestration frameworks (Semantic Kernel, LangChain, Prompt Flow, or equivalent), and structured evaluation of model quality, groundedness, and safety.<br> Platform, MLOps, and productionization • Build and maintain MLOps/LLMOps pipelines on Azure ML, Github Enterprise: experiment tracking, model registry, CI/CD for models and prompts, automated evaluation, monitoring, and drift/cost management.<br> • Expose AI capabilities as scalable microservices (Azure Kubernetes Service, Azure Container Apps, Azure Functions, API Management), with attention to latency, throughput, resilience, and cost.<br> • Establish observability for AI systems: tracing, token/cost telemetry, quality metrics, and feedback loops.<br> AI security and governance • Apply Responsible AI and AI security practices: content safety filters, prompt-injection and jailbreak mitigation, data-leakage controls, PII handling, and red-teaming.<br> • Implement secure architectures using Azure identity (Entra ID, managed identities), private endpoints, Key Vault, network isolation, and data residency controls.<br> • Contribute to AI governance standards, model risk documentation, and compliance requirements.<br> Technical leadership • Define reference architectures, coding standards, and reusable components for GenAI workloads.<br> • Mentor and review the work of other engineers; lead design discussions and technical decision-making.<br> • Partner with stakeholders to translate business problems into feasible, measurable AI solutions and communicate trade-offs clearly.<br> • Stay current with the rapidly evolving model and tooling landscape and bring practical recommendations to the team.<br> Required Qualifications • 8–10+ years of overall experience in AI, machine learning, and data engineering, with a strong track record of delivering production systems.<br> • Minimum 2–3 years of hands-on experience with Azure AI Foundry (formerly Azure AI Studio) and Azure OpenAI Service, including deploying and operating GenAI applications in production.<br> • Deep expertise across the Azure AI ecosystem: Azure Machine Learning, Azure AI Search, Azure AI Services (Document Intelligence, Language, Speech, Vision), Fabric and Azure AI Content Safety.<br> • Strong understanding of LLMs and foundation models: architectures, tokenization, context management, embeddings, fine-tuning (LoRA/PEFT), quantization, and evaluation methods.<br> • Practical experience with open-source models and frameworks (Hugging Face, Llama, Mistral, Phi, vLLM/ONNX Runtime or similar serving stacks).<br> • Proven MLOps/LLMOps experience: CI/CD, model versioning, automated testing and evaluation, monitoring, and rollback strategies.<br> • Experience designing and building microservices and APIs (containers, Kubernetes, REST/gRPC, event-driven patterns) with Azure DevOps or GitHub Actions.<br> • Demonstrated knowledge of AI security and Responsible AI: threat modeling for LLM applications (OWASP Top 10 for LLMs), data protection, access control, and safety guardrails.<br> • Working experience with at least one other cloud provider (AWS or GCP) and their AI/ML services (e.<br>g., Amazon Bedrock, SageMaker, Vertex AI).<br> • Expert-level Python; solid software engineering fundamentals (testing, code review, design patterns, performance optimization).<br> • Strong data foundations: SQL, data pipelines, data modeling, and familiarity with Azure data services (Data Factory, Databricks, Synapse, Fabric, Cosmos DB, or equivalent).<br> • Excellent communication skills with the ability to explain complex AI concepts to technical and non-technical audiences.<br> Preferred Qualifications • Microsoft certifications: AI-102 (Azure AI Engineer Associate), DP-100 (Azure Data Scientist Associate), or AZ-305.<br> • Experience with agentic AI patterns, multi-agent orchestration, and tool/function calling (Azure AI Agent Service, Semantic Kernel agents, AutoGen, or similar).<br> • Experience with vector databases beyond Azure AI Search (e.<br>g., Cosmos DB vector search, PostgreSQL pgvector, Pinecone, Weaviate).<br> • Background in NLP, computer vision, or speech systems prior to the GenAI era.<br> • Experience with model evaluation and observability tooling (Azure AI evaluation SDK, Prompt Flow evaluations, Langfuse, MLflow, Weights &amp; Biases).<br> • Familiarity with regulatory and compliance frameworks relevant to AI (GDPR, ISO/IEC 42001, NIST AI RMF, EU AI Act, or regional data protection regulations).<br> • Experience operating in regulated industries (financial services, healthcare, government) or large-enterprise environments.<br> • Contributions to open-source projects, publications, or technical community engagemen Key Competencies • Ownership and delivery focus in ambiguous, fast-moving environments • Systems thinking: balancing model quality, latency, cost, security, and maintainability • Pragmatism about when GenAI is (and is not) the right tool • Mentorship and collaborative technical leadership What We Offer Competitive market compensation and benefits.<br> • Opportunity to shape the AI platform and standards for a fast growing startup in UAE.<br> • Access to Azure and partner resources, certifications, and continuous learning budget Travel.<br></span> </div>