data engineer

senior data scientist

ai data engineer, ai4all

data analyst

senior data analyst

data engineering lead

Systems Limited - Egypt

<div>
 
 
 About the Role:
 
 
 
 We are seeking a highly skilled
 
 Technical Product Owner
 
 with deep expertise in
 
 Data &amp; AI
 
 to lead the development of innovative data-driven products and AI solutions. You will bridge the gap between business stakeholders and engineering teams, ensuring that our data initiatives align with strategic objectives and deliver measurable impact.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Act as the
 
 Product Owner
 
 for Data &amp; AI initiatives, managing the
 
 product backlog
 
 , prioritizing features, and defining user stories.
 </li>
 <li>
 Collaborate closely with
 
 Data Engineers, Data Scientists, and AI teams
 
 to translate business requirements into technical solutions.
 </li>
 <li>
 Drive the
 
 end-to-end lifecycle
 
 of AI/ML and data products, from ideation and requirements gathering to deployment and monitoring.
 </li>
 <li>
 Ensure alignment of data strategies with
 
 business objectives
 
 , including analytics, predictive modeling, and AI use cases.
 </li>
 <li>
 Define
 
 technical product roadmaps
 
 and drive adoption of best practices in data architecture, governance, and AI deployment.
 </li>
 <li>
 Collaborate with
 
 stakeholders
 
 to understand their needs and translate them into actionable features.
 </li>
 <li>
 Measure product performance using relevant KPIs and iterate on features for continuous improvement.
 </li>
 <li>
 Stay abreast of the
 
 latest trends in AI, machine learning, and data technologies
 
 , evaluating opportunities for innovation.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in
 
 Computer Science, Data Science, AI, Engineering, or related field
 
 .
 </li>
 <li>
 3_4 Proven experience as a
 
 Technical Product Owner
 
 in
 
 data-intensive or AI-focused projects
 
 .
 </li>
 <li>
 Strong understanding of
 
 data engineering, AI/ML models, data pipelines, cloud data platforms (AWS, Azure, GCP)
 
 .
 </li>
 <li>
 Experience with
 
 analytics, AI/ML frameworks (TensorFlow, PyTorch, scikit-learn), and data visualization tools
 
 .
 </li>
 <li>
 Solid knowledge of
 
 agile methodologies
 
 , backlog management, and working with cross-functional teams.
 </li>
 <li>
 Excellent
 
 communication skills
 
 to bridge technical and business conversations.
 </li>
 <li>
 Strong problem-solving skills and the ability to make
 
 data-driven product decisions.
 
 </li>
 </ul>
 
 
 
</div>

Technical Product Owner – Data & AI

Valeo

<div>
 Responsibilities Cross-Disciplinary Automation
 
 :
 
 Design and implement AI workflows that bridge the gap between Systems Engineering and downstream disciplines (HW, SW, Mech) to ensure seamless requirements traceability and consistency.
 
 
 Physics-Informed Modeling: Develop and deploy Physics-Informed Machine Learning (PIML) models to accelerate simulations in Mechanics and Electrotechnique.
 
 
 
 AI-Enhanced System Engineering
 
 : Integrate AI-assisted coding, automated unit testing, and bug prediction tools into the software development pipeline in compliance with ASPICE standards.
 
 
 
 Predictive Project Management
 
 : Build predictive analytics dashboards for Technical Project Managers to forecast resource bottlenecks, budget risks, and milestone delays using historical project data.
 
 
 
 Standards &amp; Compliance:
 
 Ensure all AI-automated processes and generated outputs adhere to ISO 26262 (Functional Safety) and ISO/SAE 21434 (Cybersecurity) requirements.
 
 
 
 Toolchain Integration
 
 : Lead the integration of AI agents with existing toolchains, including PLM, ALM (Codebeamer), and MATLAB/Simulink.
 
 
 Key competencies
 
 Technical Skills
 
 
 
 AI and Machine Learning
 
 
 <ul>
 <li>
 Generative AI &amp; LLMs
 </li>
 <li>
 Predictive Modeling
 </li>
 <li>
 Computer Vision
 
 
 </li>
 </ul>
 Data Engineering and Management
 
 
 <ul>
 <li>
 Data Pipeline Construction: Automating the flow of data into AI models.
 </li>
 <li>
 Data Quality Assurance: Cleaning and labeling datasets to ensure the AI isn't learning from "noise."
 
 
 </li>
 </ul>
 
 Process Automation &amp; Integration (MLOps)
 
 
 
 <ul>
 <li>
 Workflow Orchestration: Using tools to connect AI outputs to other R&amp;D software (like ELNs or LIMS).
 </li>
 <li>
 Deployment: Ensuring the AI tools are accessible via user-friendly interfaces.
 
 
 </li>
 </ul>
 
 Programming &amp; Scripting
 
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 Javascript / Google Apps Script
 </li>
 <li>
 Google Docs / Sheets functions &amp; automation
 </li>
 <li>
 HTTP rest API's
 
 
 </li>
 </ul>
 Tooling &amp; ALM: ( Plus Knowledge)
 
 
 <ul>
 <li>
 Codebeamer (Requirement Management Tool)
 </li>
 <li>
 Google Cloud Platform
 
 
 </li>
 </ul>
 Automation &amp; Integration concepts
 
 
 <ul>
 <li>
 AI &amp; Data Handling:
 </li>
 <li>
 Basic to intermediate experience with AI tools, APIs, or AI agents
 </li>
 <li>
 Interest in applying AI to engineering processes
 
 
 </li>
 </ul>
 Soft Skills
 
 
 <ul>
 <li>
 Strong communication and collaboration skills, including ability to translate technical AI capabilities into tangible benefits for the teams
 </li>
 <li>
 Ability to work autonomously and proactively
 </li>
 <li>
 Analytical mindset with strong problem-solving skills
 </li>
 <li>
 User-oriented mindset (training, support, feedback handling)
 </li>
 <li>
 Time Managment
 
 
 </li>
 </ul>
 Nice to Have
 
 
 Experience with requirement traceability or compliance activities
 
 
 Exposure to AI-assisted automation or low-code/no-code platforms
 
 
 Physics-Informed Machine Learning (PIML)
 
 
 Predictive Project Analytics
 
 
 Understanding of system engineering lifecycle and deliverables
 
 
 
 Aware About Automotive Industry And Embedded Systems.
 
 
 
 Years of Experience 2 to 3 years experience in AI &amp; tools development
</div>

System Design Engineer - AI & Automation, LIGHT

Nexus Analytica

<h3>Lead Backend Developer (Python/Django)</h3>Location: Cairo/Giza, Egypt (Full-time On-site) Experience: 7+ years of professional software development experience Employment Type: Full-time<h2> </h2><h2>About Nexus Analytica</h2>Nexus Analytica is a technology company specializing in digital transformation for the energy sector. We develop advanced software platforms that combine data analytics, artificial intelligence, and modern software engineering to help utilities, renewable energy developers, and governments manage increasingly complex energy systems.Our flagship platform, NexusGRID™, integrates data from renewable energy plants, battery energy storage systems (BESS), smart meters, electric vehicle charging infrastructure, and other grid-connected assets to provide real-time monitoring, forecasting, analytics, and intelligent operational decision support.<h2> </h2><h2>About the Role</h2>We are looking for an experienced Senior/Lead Backend Developer to lead the design, development, and evolution of the backend architecture powering NexusGRID. You will play a key role in building highly scalable, secure, and high-performance backend services capable of processing millions of telemetry records from energy assets while maintaining exceptional reliability and performance.You will work closely with frontend developers, data scientists, DevOps engineers, QA engineers, and product stakeholders to deliver enterprise-grade software used by utilities and energy companies worldwide.This role is ideal for someone who enjoys solving complex engineering challenges, mentoring developers, and shaping the technical direction of a growing software platform.<h2> </h2><h2>Key Responsibilities</h2><ul><li>Lead the architecture, design, and implementation of backend services.</li><li>Design scalable REST APIs and backend microservices.</li><li>Build reliable, secure, and high-performance distributed systems.</li><li>Develop and maintain enterprise-grade Django applications.</li><li>Optimize database performance and data models.</li><li>Design asynchronous processing pipelines using Celery or equivalent technologies.</li><li>Implement event-driven architectures where appropriate.</li><li>Ensure code quality through code reviews, automated testing, and CI/CD pipelines.</li><li>Collaborate with DevOps engineers to improve deployment and infrastructure automation.</li><li>Work closely with frontend teams to define API contracts.</li><li>Collaborate with data scientists to productionize machine learning and forecasting models.</li><li>Mentor junior and mid-level developers through technical guidance and code reviews.</li><li>Participate in architectural decisions and technology selection.</li><li>Troubleshoot production issues and drive root cause analysis.</li><li>Contribute to engineering standards, documentation, and development best practices.</li></ul><h2> </h2><h2>Required Qualifications</h2><ul><li>Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.</li><li>7+ years of professional backend software development experience.</li><li>Extensive experience with Python.</li><li>Strong professional experience with Django, or equivalent enterprise backend frameworks (such as FastAPI, Flask, Spring Boot, ASP.NET Core, or Node.js/NestJS), with the ability to quickly adapt to Django if not already proficient.</li><li>Strong experience designing RESTful APIs.</li><li>Deep understanding of object-oriented programming and software design principles.</li><li>Strong knowledge of relational databases such as PostgreSQL or MySQL.</li><li>Experience with ORM technologies.</li><li>Experience building scalable backend architectures.</li><li>Strong understanding of authentication and authorization (JWT, OAuth2, OpenID Connect).</li><li>Experience working with Docker.</li><li>Experience using Git in collaborative development environments.</li><li>Experience with automated testing and CI/CD pipelines.</li><li>Strong debugging and performance optimization skills.</li></ul><h2> </h2><h2>Preferred Qualifications</h2>Experience with one or more of the following is highly desirable:<ul><li>Django REST Framework</li><li>Celery</li><li>Redis</li><li>RabbitMQ or Kafka</li><li>WebSockets</li><li>GraphQL</li><li>Azure, AWS, or Google Cloud Platform</li><li>Kubernetes</li><li>Elasticsearch / OpenSearch</li><li>TimescaleDB</li><li>Prometheus &amp; Grafana</li><li>Nginx</li><li>Linux server administration</li><li>Distributed systems</li><li>Event-driven architectures</li><li>High-volume data processing</li><li>IoT platforms</li><li>Time-series databases</li></ul><h2> </h2><h2>Nice to Have</h2><ul><li>Experience developing enterprise SaaS products.</li><li>Experience in the energy, utilities, IoT, or smart grid sectors.</li><li>Experience working with telemetry or real-time data systems.</li><li>Familiarity with protocols such as MQTT or DLMS/COSEM.</li><li>Experience integrating third-party APIs and industrial systems.</li><li>Exposure to AI or machine learning deployment workflows.</li><li>Experience leading agile software teams.</li></ul><h2> </h2><h2>What We Look For</h2><ul><li>Strong technical leadership skills.</li><li>Excellent problem-solving abilities.</li><li>Passion for writing clean, maintainable, and testable code.</li><li>Ownership mentality and attention to detail.</li><li>Excellent communication and collaboration skills.</li><li>Ability to mentor and inspire other developers.</li><li>Comfortable working in a fast-paced, product-focused environment.</li><li>Continuous learner with a passion for modern software engineering.</li></ul><h2> </h2><h2>What We Offer</h2><ul><li>Competitive salary package.</li><li>Opportunity to work on cutting-edge energy technology.</li><li>Exposure to large-scale international projects.</li><li>Collaborative and highly technical engineering environment.</li><li>Career growth and leadership opportunities.</li><li>Modern development tools and workflows.</li><li>Flexible working arrangements.</li><li>Professional training and certification support.</li><li>Opportunity to make a real-world impact on the future of sustainable energy.</li></ul><h2> </h2><h2>Technologies We Use</h2><ul><li>Python</li><li>Django &amp; Django REST Framework</li><li>PostgreSQL</li><li>Redis</li><li>Celery</li><li>Docker</li><li>GitHub &amp; GitHub Actions</li><li>Azure Cloud</li><li>REST APIs</li><li>React (Frontend)</li><li>TypeScript</li><li>Linux</li><li>CI/CD pipelines</li></ul>

Senior Backend Developer (Python Django)

Lean Technologies

<div>
 
 Lean is expanding our footprint by opening an office in Egypt this summer, and the Engineering Manager, DevOps role is one of our first engineering leadership hires in market.
 
 
 
 
 
 We're a Series B fintech (backed by General Catalyst and Sequoia), and over the last few years we've grown from a category-defining open banking company into a multi-rail financial infrastructure platform powering payments, data, and lending across MENA.
 
 
 
 
 
 Cairo is a long-term investment in a market we deeply believe in, and the people who join now will shape what Lean looks like there for years to come. You'll work alongside a team representing 30+ nationalities, with experience from some of the world's leading fintechs and technology companies. The work is ambitious, the standards are high, and ownership is real.
 
 
 
 
 
 If you're excited about building high-performing teams and world-class infrastructure from the ground up, this is the right moment to join.
 
 
 
 
 
 
 About Lean
 
 
 
 Lean is the leading financial infrastructure provider in the Middle East. We power some of the region's largest companies with APIs that enable payments, account verification, financial data access, and other critical financial infrastructure.
 
 
 What started as the region's pioneering Open Banking platform quickly became the market leader in account aggregation and payment initiation. Today, Lean is evolving into a multi-product infrastructure company powering payments, data, and lending across MENA.
 
 
 We've processed billions of dollars in transactions, serve more than 350 customers&mdash;including Binance, Careem, and e&amp;&mdash;and are backed by General Catalyst, Sequoia, and Shorooq. Following our $67.5M Series B, we're expanding into new markets, opening new offices, acquiring businesses, and building financial infrastructure that has never existed in the region before.
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 We're looking for an Engineering Manager to lead our DevOps and Platform Engineering function You'll be responsible for building and growing a high-performing team that owns the infrastructure, developer platform, cloud architecture, and operational excellence behind Lean's products.
 
 
 This is a hands-on leadership role where you'll combine technical depth with people leadership, partnering closely with Engineering, Security, Product, and Compliance teams to build a scalable, secure, and reliable platform capable of supporting the next stage of Lean's growth.
 
 
 
 
 
 
 What You'll Do
 
 
 
 
 
 <ul>
 <li>
 Build, mentor, and lead a high-performing DevOps and Platform Engineering team in Cairo.
 </li>
 <li>
 Define and execute the platform engineering roadmap, balancing developer productivity, reliability, security, and cost efficiency.
 </li>
 <li>
 Own Lean's cloud infrastructure across AWS, Kubernetes, Terraform, CI/CD, observability, and production operations.
 </li>
 <li>
 Drive reliability through SRE best practices, incident management, postmortems, and continuous improvement.
 </li>
 <li>
 Champion Infrastructure as Code, automation, and self-service developer tooling.
 </li>
 <li>
 Improve deployment velocity while maintaining security and operational excellence.
 </li>
 <li>
 Partner with Security and Compliance teams to meet regulatory and audit requirements across multiple markets.
 </li>
 <li>
 Collaborate with engineering leaders to improve software delivery, platform adoption, and engineering productivity.
 </li>
 <li>
 Establish operational metrics, SLOs, and KPIs that measure platform health and engineering effectiveness.
 </li>
 <li>
 Help shape Lean's engineering culture by hiring exceptional talent and raising the bar across the organization.
 </li>
 </ul>
 
 
 
 
 
 What You'll Bring
 
 
 
 
 
 <ul>
 <li>
 8+ years of experience in Infrastructure, DevOps, SRE, or Platform Engineering, with at least 3 years leading engineering teams.
 </li>
 <li>
 Strong technical expertise in AWS, Kubernetes, Docker, Terraform, networking, and cloud-native architectures.
 </li>
 <li>
 Experience designing and operating highly available, distributed production systems at scale.
 </li>
 <li>
 Deep knowledge of CI/CD pipelines, GitOps, Infrastructure as Code, and modern deployment strategies.
 </li>
 <li>
 Experience with observability platforms, monitoring, logging, and incident response.
 </li>
 <li>
 Strong understanding of security best practices and cloud infrastructure governance.
 </li>
 <li>
 Proven ability to hire, mentor, and grow high-performing engineering teams.
 </li>
 <li>
 Excellent stakeholder management and communication skills, with the ability to influence technical strategy across multiple teams.
 </li>
 <li>
 Experience in fintech, payments, regulated environments, or high-growth startups is highly desirable.
 </li>
 </ul>
 
 
 
 
 
 NB. While we think the above experience could be important, we&rsquo;re keen to hear from people that believe they have valuable experience to bring to the role. If you identify with the team and mission, but not all of our requirements, then please still apply!!
 
 
 
 
 
 
 
 Why Join us?
 
 
 
 We&rsquo;re building the financial infrastructure for MENA. Not as a slogan, as a fact.
 
 
 Since 2019, we&rsquo;ve become the first regulated Open Banking and Open Finance company operating across the UAE and Saudi Arabia. We&rsquo;ve processed billions of dollars. We connect millions of accounts. We enable companies like Binance, Careem, and Etisalat to build products that were previously impossible in this region.
 
 
 Our recent $67.5M Series B from General Catalyst and Sequoia isn&rsquo;t just validation: it&rsquo;s fuel. We&rsquo;re expanding into new markets, launching new products, and setting the pace for what financial innovation looks like in MENA.
 
 
 We solve hard problems. We move fast. We hold ourselves to a high standard. And we&rsquo;re looking for people who&rsquo;ve done this before to help us do it right.
 
 
 If you&rsquo;re motivated by building something that lasts, not just something that scales, Lean is where you need to be.
 
 
 
 
 
 Not only do we offer competitive salaries, private healthcare, and flexible office hours, but we also insist that every member of the team hold a meaningful equity stake in the business to ensure long-term alignment. We'd love you to join us for this journey!
 
 
 
 
 
 
 Lean is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
 
 
 
 
 
 
 
 When applying for a job at Lean Technologies, we will need to collect, use and share Personal Data about you with different members of our team during the application process. This may mean transferring your data to members of the team in one of our office locations worldwide outside of the country you are in. Please refer to our Privacy Notice on our website for more information about how we may use and store your Personal Data
 
 
 
 
 
</div>

DevOps Engineering Manager

<div>
 Valeo est une entreprise mondiale de haute technologie qui con&ccedil;oit des solutions r&eacute;volutionnaires pour r&eacute;inventer la mobilit&eacute;. Nous sommes un &eacute;quipementier partenaire des constructeurs automobiles et des acteurs de la nouvelle mobilit&eacute; dans le monde entier. Notre vision ? Inventer une mobilit&eacute; plus verte et plus s&ucirc;re, gr&acirc;ce &agrave; des solutions ax&eacute;es sur la conduite intuitive et la r&eacute;duction des &eacute;missions de CO2. Nous sommes leaders dans nos domaines d'activit&eacute; et reconnus comme l'une des plus grandes entreprises innovantes au monde.
 
 
 Responsibilities Cross-Disciplinary Automation
 
 ~
 
 Design and implement AI workflows that bridge the gap between Systems Engineering and downstream disciplines (HW, SW, Mech) to ensure seamless requirements traceability and consistency.
 
 
 Physics-Informed Modeling~ Develop and deploy Physics-Informed Machine Learning (PIML) models to accelerate simulations in Mechanics and Electrotechnique.
 
 
 
 AI-Enhanced System Engineering
 
 ~ Integrate AI-assisted coding, automated unit testing, and bug prediction tools into the software development pipeline in compliance with ASPICE standards.
 
 
 
 Predictive Project Management
 
 ~ Build predictive analytics dashboards for Technical Project Managers to forecast resource bottlenecks, budget risks, and milestone delays using historical project data.
 
 
 
 Standards &amp; Compliance~
 
 Ensure all AI-automated processes and generated outputs adhere to ISO 26262 (Functional Safety) and ISO/SAE 21434 (Cybersecurity) requirements.
 
 
 
 Toolchain Integration
 
 ~ Lead the integration of AI agents with existing toolchains, including PLM, ALM (Codebeamer), and MATLAB/Simulink.
 
 
 Key competencies
 
 Technical Skills
 
 
 
 AI and Machine Learning
 
 
 <ul>
 <li>
 Generative AI &amp; LLMs
 </li>
 <li>
 Predictive Modeling
 </li>
 <li>
 Computer Vision
 
 
 </li>
 </ul>
 Data Engineering and Management
 
 
 <ul>
 <li>
 Data Pipeline Construction~ Automating the flow of data into AI models.
 </li>
 <li>
 Data Quality Assurance~ Cleaning and labeling datasets to ensure the AI isn't learning from "noise."
 
 
 </li>
 </ul>
 
 Process Automation &amp; Integration (MLOps)
 
 
 
 <ul>
 <li>
 Workflow Orchestration~ Using tools to connect AI outputs to other R&amp;D software (like ELNs or LIMS).
 </li>
 <li>
 Deployment~ Ensuring the AI tools are accessible via user-friendly interfaces.
 
 
 </li>
 </ul>
 Programming &amp; Scripting~
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 Javascript / Google Apps Script
 </li>
 <li>
 Google Docs / Sheets functions &amp; automation
 </li>
 <li>
 HTTP rest API's
 
 
 </li>
 </ul>
 Tooling &amp; ALM~ ( Plus Knowledge)
 
 
 <ul>
 <li>
 Codebeamer (Requirement Management Tool)
 </li>
 <li>
 Google Cloud Platform
 
 
 </li>
 </ul>
 Automation &amp; Integration concepts
 
 
 <ul>
 <li>
 AI &amp; Data Handling~
 </li>
 <li>
 Basic to intermediate experience with AI tools, APIs, or AI agents
 </li>
 <li>
 Interest in applying AI to engineering processes
 
 
 </li>
 </ul>
 Soft Skills
 
 
 <ul>
 <li>
 Strong communication and collaboration skills, including ability to translate technical AI capabilities into tangible benefits for the teams
 </li>
 <li>
 Ability to work autonomously and proactively
 </li>
 <li>
 Analytical mindset with strong problem-solving skills
 </li>
 <li>
 User-oriented mindset (training, support, feedback handling)
 </li>
 <li>
 Time Managment
 
 
 </li>
 </ul>
 Nice to Have
 
 
 Experience with requirement traceability or compliance activities
 
 
 Exposure to AI-assisted automation or low-code/no-code platforms
 
 
 Physics-Informed Machine Learning (PIML)
 
 
 Predictive Project Analytics
 
 
 Understanding of system engineering lifecycle and deliverables
 
 
 
 Aware About Automotive Industry And Embedded Systems.
 
 
 
 Years of Experience 2 to 3 years experience in AI &amp; tools development
 
 
 
 Position~
 
 
 
 AI4all, Engineering Disciplines
 
 
 
 D&eacute;partement~
 
 
 
 GTSC Software
 
 
 
 Schedule~
 
 
 
 Temps plein
 
 
 
 Employee Status~
 
 
 
 CDI
 
 
 
 Type de contrat~
 
 
 
 
 Job Posting Date~
 
 
 
 2026-04-07
 
 
 
 Join Us !
 
 
 Being part of our team, you will join~
 
 
 <ul>
 <li>
 one of the largest global innovative companies, with more than 20,000 engineers working in Research &amp; Development
 </li>
 <li>
 a multi-cultural environment that values diversity and international collaboration
 </li>
 <li>
 more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
 </li>
 <li>
 a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development
 
 
 </li>
 </ul>
 More information on Valeo~ https~//www.valeo.com
 
</div>

Confidential

<div>
 
 
 
 Role Objectives:
 
 
 
 
 
 
 
 The IT Infrastructure Lead is responsible for overseeing the implementation, maintenance, and continuous improvement of Breadfast's IT infrastructure to ensure secure, reliable, and scalable technology environments. The role provides technical leadership across on-premises and cloud infrastructure, supports cybersecurity and business continuity initiatives, establishes infrastructure standards, and collaborates with internal stakeholders and vendors to ensure high system availability and operational excellence.
 
 
 
 
 
 
 
 Roles &amp; Responsibilities:
 
 
 
 
 
 
 <ul>
 <li>
 Oversee network and systems infrastructure across the firm including configuration, implementation, maintenance, and monitoring.
 </li>
 <li>
 Coordinate implementation and monitoring of cybersecurity across the infrastructure
 </li>
 <li>
 Coordinate implementation and maintenance of the technology components of business continuity and disaster recovery plans.
 </li>
 <li>
 Provide leadership and guidance to support on-prem and cloud hybrid infrastructure.
 </li>
 <li>
 Contribute to the development and adoption of infrastructure standards and procedures applicable to technology infrastructure.
 </li>
 <li>
 Provide management and expert-level guidance to technology infrastructure team members.
 </li>
 <li>
 Provide expert-level hands-on assistance as necessary with administration or maintenance of systems and infrastructure.
 </li>
 <li>
 Coordinate vendor, hardware and software selection and renewals for technology infrastructure
 </li>
 <li>
 Support in determining current and future infrastructure needs, ensuring the scalability of infrastructure design to handle expected growth.
 </li>
 </ul>
 
 
 
 
 
 
 Required Education, Knowledge, And Skills:
 
 
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or a related field.
 </li>
 <li>
 5&ndash;7 years of experience in IT Infrastructure, Systems Administration, or Network Engineering, with at least 2 years in a senior or lead technical role.
 </li>
 <li>
 Strong experience managing hybrid infrastructure environments (on-premises and cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform).
 </li>
 <li>
 Experienced in Data-Center management and maintenance procedures.
 </li>
 <li>
 Administration (Azure, AD, Linux, AWS, etc.) and network administration (TCP/IP, DNS, firewalls, VPN, etc.)
 </li>
 <li>
 Strong understanding of networking concepts, including LAN/WAN, VPN, routing, switching, firewalls, DNS, DHCP, and load balancing.
 </li>
 <li>
 Demonstrated familiarity with productivity tools such as project planning tools and Excel.
 </li>
 <li>
 Ability to juggle multiple priorities in a fast-paced environment.
 </li>
 <li>
 Meticulous attention to detail in all aspects of work including communication, execution, and results.
 </li>
 </ul>
 
 
</div>

IT Infrastructure Lead

Procter & Gamble

<div>
 
 Job Location
 
 
 
 6Th Of October
 
 
 
 Job Description
 
 
 
 Innovation is the driving force behind everything we do at P&amp;G. Across the world, you will find thousands of scientists, engineers and developers working in manufacturing plants, innovation centres and distribution facilities.
 
 
 You'll be in the ideal place to work on groundbreaking improvements related to the manufacturing and processing of our leading products with smart, connected technologies driving the industrial revolution. Our aim is to ignite your potential and equip you to enhance the capability, safety and productivity of all our systems while reducing cost and boosting sustainability.
 
 
 
 Your Role as a Process Engineer:
 
 
 
 You will typically start as a Technical Engineer working with a broad range of processing equipment with specific responsibilities from day 1 on a key project that will involve the following:
 
 
 <ul>
 <li>
 Design and evaluate technical options for achieving business objectives
 </li>
 <li>
 Study technical feasibility using high end computer modeling and simulation.
 </li>
 <li>
 Lead economic evaluations and consultations with Manufacturing, Research &amp; Development and other contributing groups.
 </li>
 <li>
 Design, develop and procure new processing equipment.
 </li>
 <li>
 Develop and conduct acceptance tests on equipment purchased from vendors.
 </li>
 <li>
 Lead new equipment commissioning in the production plants and train the production teams.
 </li>
 <li>
 Solve equipment problems working closely with production staff on new or existing operations.
 
 
 </li>
 </ul>
 Your first assignment gives you the chance to contribute with your engineering skills to the business from day 1, while developing your leadership skills. You have clear responsibilities that stretch your technical abilities. You will work in professional and entrepreneurial multi-functional teams while receiving valuable mentoring as well as functional and corporate trainings.
 
 
 
 What we offer:
 
 
 
 <ul>
 <li>
 At Procter and Gamble, we don&rsquo;t just offer a job, we offer a career with varying assignments and lots of development opportunities, so that we develop our leaders of tomorrow.
 </li>
 <li>
 You are coordinated in the team with a full training program. You will learn communication and selling skills, the management of a customer portfolio, the analysis and priority settings, trained to specifics corporate trainings.
 </li>
 <li>
 Continuous mentorship &ndash; We work with hardworking people and like to give both formal training as well as day-to-day mentoring.
 </li>
 <li>
 Dynamic and respectful work environment &ndash; Our employees are at the core of everything we do. We value every individual and encourage initiatives, promoting agility and work/life balance.
 
 
 </li>
 </ul>
 
 Job Qualifications
 
 
 
 We are looking for:
 
 
 <ul>
 <li>
 Recent Graduate in one of the following engineering majors: Mechanical, Electrical, Electronics, Industrial, Mechatronics or any relevant engineering degree with 0 &ndash; 5 years of relevant experience (preferred)
 </li>
 <li>
 We are also considering the following majors: Actuarial Sciences, Computer Science, Data Science, Mathematics (Statistics &amp; Data Analysis)
 </li>
 <li>
 In addition to good knowledge of English, we also look for skills such as technical curiosity, creativity, innovation, initiative, communication, leadership and the ability to work with others.
 
 
 </li>
 </ul>
 JUST SO YOU KNOW:
 
 
 You will get a competitive compensation package, in line with your qualifications and experience.
 
 
 We are an equal opportunity employer and value diversity at our company. Our people are all equally talented in unique ways: we come from diverse traditions, personal experiences and points of view, and we want to include yours. Our mission of Diversity and Inclusion is: &ldquo;Everyone valued. Everyone included. Everyone performing at their peak&rdquo;. Are you ready to inspire us with your creative ideas?
 
 
 
 About Us
 
 
 
 We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always&reg;, Ariel&reg;, Gillette&reg;, Head &amp; Shoulders&reg;, Herbal Essences&reg;, Oral-B&reg;, Pampers&reg;, Pantene&reg;, Tampax&reg; and more. Our community includes operations in approximately 70 countries worldwide. Visit http://www.pg.com to know more.
 
 
 Our consumers are diverse and our talents - internally - mirror this diversity to best serve it. That is why we&rsquo;re committed to building a winning culture based on Inclusion and our ideal candidate is passionate about the same principle: you will join our daily effort of being &ldquo;in touch&rdquo; so we craft brands and products to improve the lives of the world&rsquo;s consumers now and in the future. We want you to inspire us with your unrivaled ideas.
 
 
 We are committed to providing equal opportunities in employment. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, veteran status, HIV/AIDS status, or any other legally protected factor.
 
 
 
 Job Schedule
 
 
 
 Full time
 
 
 
 Job Number
 
 
 
 R000154950
 
 
 
 Job Segmentation
 
 
 
 Entry Level
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Process Engineer Manufacturing - Cairo & October 6th Plants- 0 to 3 years of experience

Explore 56+ Data engineering lead in Cairo this August. Find roles across top companies and apply now to boost your career.

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Process Engineer Manufacturing - Cairo & October 6th Plants- 0 to 3 years of experience