Technology & IT Jobs

We are looking for a Senior Data Engineer / Data Engineering Lead with strong experience in Informatica PowerCenter, Kafka, Cloudera, and Tableau Cloud to design, develop, and lead enterprise data integration and engineering solutions. Key Responsibilities Design and develop ETL/ELT and data integration solutions using Informatica PowerCenter. Develop and optimize data pipelines for batch and real-time processing. Implement data streaming and integration solutions using Apache Kafka. Work with Cloudera / Hadoop environments for large-scale data processing. Develop and support data reporting and visualization using Tableau / Tableau Cloud. Optimize data workflows, performance, and data quality. Troubleshoot complex data integration and pipeline issues. Lead technical design, development, code reviews, and solution implementation. Mentor and guide junior and mid-level Data Engineers. Collaborate with architects, developers, business teams, and other stakeholders. Ensure best practices for data security, governance, quality, and performance. Requirements 6+ years of experience in Data Engineering / Data Integration. Strong hands-on experience with Informatica PowerCenter. Strong knowledge of ETL/ELT, Data Warehousing, and Data Integration. Strong experience with Apache Kafka and real-time data processing. Experience with Cloudera / Hadoop ecosystem. Experience with Tableau / Tableau Cloud. Strong SQL skills. Experience designing and optimizing enterprise data pipelines. Experience leading technical teams, projects, or data engineering initiatives. Strong problem-solving, communication, and leadership skills. Show more

Additional Information Job Number 26110338 Job Category Loss Prevention & Security Location Galae Square, P. O. Box 11, Cairo, EgyptVIEW ON MAP Schedule Full Time Located Remotely? N Position Type Non-Management Position Summary Patrol all areas of the property; assist guests with room access. Monitor Closed Circuit Televisions, perimeter alarm system, duress alarms, and fire life safety system. Lock property entrances when required. Conduct daily physical hazard inspections. Respond to accidents, contact EMS or administer first aid/CPR as required. Assist guests/employees during emergency situations. Notify appropriate individuals in the event of accidents, attacks, or other incidents. Defuse guest/employee disturbances. Call for outside assistance if necessary. Complete incident reports to document all Security/Loss Prevention related incidents. Handle all interruptions and complaints. Resolve safety hazard situations. Escort any unwelcome persons from the property without interrupting the orderly flow of property operation. Report to scenes of vehicle accidents/thefts. Call for assistance using proper code responses. Complete a Loss Prevention shift summary/daily activity report. Maintain confidentiality of all Security/Loss Prevention and property reports/documents; release information only to authorized individuals. Conduct investigations and gather evidence. Conduct interviews with relevant parties. Follow all company policies and procedures; report accidents, injuries, and unsafe work conditions to manager; complete safety training and certifications; ensure uniform and personal appearance are clean and professional; maintain confidentiality of proprietary information; protect company assets. Welcome and acknowledge all guests according to company standards; anticipate and address guests’ service needs; assist individuals with disabilities; thank guests with genuine appreciation. Speak with others using clear and professional language; prepare and review written documents accurately and completely. Develop and maintain positive working relationships with others; support team to reach common goals. Comply with quality assurance expectations and standards. Stand, sit, or walk for an extended period of time. In addition, some states may have additional licensing/registration requirements to be considered for this position. Read and visually verify information in a variety of formats (e.g., small print). Visually inspect tools, equipment, or machines (e.g., to identify defects). Enter and locate work-related information using computers and/or point of sale systems. Move at a speed required to respond to work situations (e.g., run, walk, jog). Stand, sit, or walk for an extended period of time or for an entire work shift. Move, lift, carry, push, pull, and place objects weighing less than or equal to 50 pounds without assistance and objects weighing in excess of 75 pounds with assistance. Grasp, turn, and manipulate objects of varying size and weight, requiring fine motor skills and hand-eye coordination. Move through narrow, confined, or elevated spaces. Move over sloping, uneven, or slippery surfaces as well as up and down stairs and/or service ramps. Reach overhead and below the knees, including bending, twisting, pulling, and stooping. Perform other reasonable job duties as requested by Supervisors. Preferred Qualifications Education: High school diploma or G.E.D. equivalent. Related Work Experience: No related work experience. Supervisory Experience: No supervisory experience. License or Certification: None At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. We are committed to non-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law. When you join the Sheraton family, you become a member of its global community. We’ve been a place to gather and connect since 1937. At Sheraton, associates create a sense of belonging in more than 400 communities around the world. We invite, we welcome, and we connect guests through engaging experiences and thoughtful service. If you’re a team player who is excited to deliver a meaningful guest experience, we encourage you to explore your next career opportunity with Sheraton. Join us on our mission to be ‘The World’s Gathering Place’. In joining Sheraton Hotels & Resorts, you join a portfolio of brands with Marriott International. Be where you can do your best work, begin your purpose, belong to an amazing global team, and become the best version of you. Show more

We are looking for a Senior AI Engineer with over 4 years of experience to lead our AI initiatives. In this role, you will be responsible for driving the design, development, and deployment of cutting-edge AI solutions. You will provide technical leadership to a team of AI engineers, mentor junior team members, and collaborate closely with stakeholders to deliver impactful AI-driven products. This position requires deep expertise in machine learning, data engineering, and software development practices. Responsibilities: Lead the end-to-end development of AI models Architect scalable AI systems and infrastructure to support large-scale data processing and model training Mentor and coach junior AI engineers, fostering a culture of continuous learning and technical excellence Collaborate with product managers and business stakeholders to define AI strategy and roadmap Conduct research and stay abreast of advancements in AI/ML fields to drive innovation Ensure robustness, scalability, and performance of AI solutions in production environments Requirements Requirements Bachelor's or Master's. in Computer Science, Engineering, or a related field. 4+ years of experience in AI, machine learning, or data science roles, with a proven track record of delivering complex projects Proven experience designing and deploying Generative AI (GenAI) systems using large language models (LLMs) Expertise in Python, TensorFlow, PyTorch, or other ML frameworks Strong knowledge of distributed computing, data engineering, and cloud platforms Hands-on experience with RAG architectures, vector search engines, and embedding models Deep experience with prompt engineering and LLM fine-tuning Experience building intelligent agent-based systems using frameworks like LangChain, LangGraph, or CrewAI Familiarity with LLM evaluation, observability, and cost/performance optimization Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Excellent leadership, communication, and stakeholder management skills Preferred Qualifications:. Experience working with multi-agent architectures, planning/execution agents, or tool-using LLMs Contributions to open-source GenAI projects, or participation in applied research involving LLMs, embeddings, or agentic reasoning Show more

We are hiring a Senior Data Scientist to join our team at Klivvr. What you'll do: Own a domain such as credit, risk, or growth end to end, setting the modeling strategy and being accountable for the systems that result Take on the most ambiguous, highest-stakes problems, including framing what should be built and why before any modeling begins Make and defend the hard technical calls, choosing the simplest approach that solves the problem rather than the most sophisticated one Drive models into production and own their long-term health, performance, and reliability once they're live Set technical direction and standards that other data scientists build on, through design reviews, shared tooling, and engineering practices Mentor data scientists across levels and raise the quality bar for the team's work Translate business strategy into a coherent data science roadmap and communicate tradeoffs clearly to leadership To succeed in this role, you'll need to have: 5+ years of hands-on data science or applied ML experience, with a track record of owning systems in production end to end Deep proficiency in Python (NumPy, pandas, scikit-learn) and SQL, and strong software engineering fundamentals Strong grounding in statistics, probability, and machine learning, with the judgment to know which method actually fits the problem Experience designing and operating large-scale ML systems on cloud platforms (AWS preferred) A demonstrated ability to lead ambiguous, cross-functional initiatives without close guidance Excellent communication skills, including the ability to influence technical and business stakeholders and to make others better through your feedback Show more

About this Position The Cloud Engineer supports the development and operation of Henkel's enterprise multi-cloud platform environment, covering Microsoft Azure and Google Cloud Platform. The role focuses on building scalable cloud infrastructure, automation, and platform engineering solutions that support a centralized ecosystem serving global application teams and business units. As part of a hands-on engineering environment within Henkel's Cloud Organization, the position contributes to infrastructure engineering, cloud-native capabilities, and platform self-service that strengthen how enterprise solutions are deployed and scaled across Henkel. What You´ll Do Design, build, and optimize cloud infrastructure on Microsoft Azure and Google Cloud Platform, including compute, networking, IAM, and storage services. Develop and maintain infrastructure automation solutions using Terraform and Ansible following Infrastructure as Code (IaC) practices. Build and maintain CI/CD deployment pipelines supporting reliable multi-environment platform delivery and GitOps workflows. Support the provisioning and lifecycle management of cloud projects and resources such as VPCs, service accounts, landing zones, and platform blueprints. Contribute to the team's Internal Developer Platform (IDP) initiative by engineering self-service capabilities and reusable platform blueprints for application teams. Support API and agent gateway design, including model routing and FinOps tracking for LLM token consumption. Support platform security, identity management, and compliance capabilities across cloud-native environments. Collaborate with global and cross-functional teams including Platform Owners globally to deliver scalable and reliable enterprise platform solutions. Participate in disaster recovery planning and execution. Optimize cloud-based solutions and infrastructure as part of the company's digital strategy. Contribute to the development of best practices and documentation for IT operations. What makes you a good fit 2–3 years of hands-on experience in cloud engineering or DevOps roles Solid working knowledge of GCP or Azure - compute, networking, IAM, and storage fundamentals; experience with both is a plus. Hands on experince with infrastructure-as-code practices, preferably Terraform; Ansible is an advantage. Experience building and maintaining CI/CD pipelines and multi-environment deployment workflows. Familiarity with Linux environments, shell scripting (Bash), and container-based workloads. Understanding of Kubernetes or OpenShift and GitOps practices is an advantage. Basic familiarity with AI/LLM APIs such as Azure OpenAI or Vertex AI; hands-on experience is a strong plus. Experience with API gateway solutions (Azure APIM, Apigee, or similar) is a plus. Scripting experience with Python is considered a plus. Strong analytical, problem-solving, and communication skills. Ability to work independently and collaborate effectively across distributed, cross-functional teams. Proactive mindset with a passion for automation, engineering quality, and continuously learning new technologies. Some perks of joining Henkel Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year Diverse national and international growth opportunities Global wellbeing standards with health and preventive care programs Gender-neutral parental leave for a minimum of 8 weeks Employee Share Plan with voluntary investment and Henkel matching shares Comprehensive Health Insurance for employee + dependents Employee Assistance Programme provides a wide range of mental health and wellbeing benefits At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets. Show more

Position Summary: Linah is looking for a detail-oriented Data Analyst to turn raw agricultural field data into clear, actionable insight. The data analyst will be the bridge between what happens on client farms and the decisions made by both clients and Linah's technical support department — processing field metrics, building performance reports, flagging risks early, and quantifying the return on investment (ROI) of Linah's interventions Job Duties & Responsibilities: Build and maintain the "Historical Farm Profile" database, ensuring all data from field engineers and lab results are accurately and consistently recorded Collect, clean, and validate agricultural data gathered from client farms (yield, soil health, irrigation, inputs usage, weather, crop cycles, etc.) Process and structure raw field data into usable datasets for analysis Calculate cost vs. yield metrics, tracking how Linah's interventions impact the client's bottom line Calculate and track the broader ROI of Linah's interventions (e.g., input recommendations, technology adoption, training programs) against baseline performance Prepare the data that feeds into the Client Digital Dashboard, including implementation rates and technical program progress Build dashboards and visualizations that clearly communicate farm performance trends over time Analyze trends across different regions to provide the R&D and Technical teams with early warnings about pest outbreaks or climate impacts Design and generate the standardized, logic-based technical reports delivered to clients Prepare regular performance reports for clients and internal management, translating technical data into plain-language insights Collaborate with field agronomists/engineers to ensure data collected is accurate, complete, and relevant Maintain data quality standards and documentation for all datasets, databases, and reporting processes Support management with ad hoc data requests and predictive analysis for planning and forecasting Continuously improve reporting templates, dashboards, and analytical methods based on client and management feedback Requirements Bachelor's degree in Data Science, Statistics, Agricultural Economics, Agronomy, Computer Science, or a related field 3+ years of experience in data analysis, ideally within agriculture, agtech, or FMCG, or supply chain sectors Strong proficiency in Excel and at least one analytics/BI tool (e.g., Power BI, Tableau, Looker) Working knowledge of SQL for data querying, database maintenance, and manipulation Experience with Python or R for data processing/analysis is a plus Ability to build clear, digestible dashboards and reports for both technical teams and non-technical audiences Strong understanding of basic agricultural concepts (crop cycles, yield metrics, farm inputs) or willingness to learn quickly Excellent analytical thinking and attention to detail Strong communication skills — able to translate numbers into a story for clients and management Benefits Job location: Baharia Oasis Medical insurance Social insurance Bonus upon company policy Show more