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internship program 2026 | nourish your future Jobs in Giza

sales data analytics intern nextgen talent internship program 2026

Halan - حالا

<div>
 <p>
  <span>
   About the Role
  </span>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <span>
   As a Data Engineering Intern, you will work alongside experienced engineers to build, optimize, and maintain data systems that power critical business decisions. This is a hands-on, mentorship-driven role designed to help you develop practical skills in data engineering, software development, and modern data platforms.
  </span>
 </p>
 <p>
  <span>
   We care more about your curiosity, problem-solving ability, and willingness to learn than the number of technologies you already know. If you enjoy working with data, building scalable systems, and exploring how data can drive real-world impact, this role is for you.
  </span>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Principal Responsibilities &amp; Accountabilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <br/>
  <li>
   <span>
    Build and maintain ETL/ELT pipelines to collect, transform, and process data efficiently
   </span>
  </li>
  <br/>
  <li>
   <span>
    Write clean, maintainable, and reusable code using Python and SQL
   </span>
  </li>
  <br/>
  <li>
   <span>
    Work with relational and non-relational databases to store and retrieve data effectively
   </span>
  </li>
  <br/>
  <li>
   <span>
    Support data modeling efforts to improve reporting, analytics, and application performance
   </span>
  </li>
  <br/>
  <li>
   <span>
    Assist in monitoring, troubleshooting, and optimizing data workflows
   </span>
  </li>
  <br/>
  <li>
   <span>
    Collaborate with Data Scientists and Software Engineers to prepare datasets and support machine learning initiatives
   </span>
  </li>
  <br/>
  <li>
   <span>
    Use Git for version control and participate in code reviews and team discussions
   </span>
  </li>
  <br/>
  <li>
   <span>
    Follow engineering best practices, coding standards, testing, and documentation guidelines
   </span>
  </li>
  <br/>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <br/>
  <li>
   <span>
    Strong understanding of computer science fundamentals, including data structures, algorithms, and problem-solving
   </span>
  </li>
  <br/>
  <li>
   <span>
    Working knowledge of Python and SQL
   </span>
  </li>
  <br/>
  <li>
   <span>
    Understanding of database concepts, including relational databases and basic data modeling
   </span>
  </li>
  <br/>
  <li>
   <span>
    Familiarity with ETL processes and data transformation concepts
   </span>
  </li>
  <br/>
  <li>
   <span>
    Basic understanding of software engineering principles and Object-Oriented Programming (OOP)
   </span>
  </li>
  <br/>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Nice to Have
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <br/>
  <li>
   <span>
    Exposure to big data technologies such as Apache Spark, Hadoop, or Flink
   </span>
  </li>
  <br/>
  <li>
   <span>
    Familiarity with cloud platforms such as AWS, GCP, or Azure
   </span>
  </li>
  <br/>
  <li>
   <span>
    Experience with PostgreSQL, MongoDB, Cassandra, Snowflake, or BigQuery
   </span>
  </li>
  <br/>
  <li>
   <span>
    Personal projects, GitHub repositories, or coursework involving data engineering or analytics
   </span>
  </li>
  <br/>
  <li>
   <span>
    Exposure to machine learning concepts, feature engineering, or MLOps practices
   </span>
  </li>
  <br/>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You'll Gain
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <br/>
  <li>
   <span>
    Real production experience working on large-scale data systems
   </span>
  </li>
  <br/>
  <li>
   <span>
    Exposure to modern data engineering tools, architectures, and best practices
   </span>
  </li>
  <br/>
  <li>
   <span>
    Experience collaborating with Data Science, Engineering, and Product teams
   </span>
  </li>
  <br/>
  <li>
   <span>
    Mentorship from experienced engineers and guidance on technical growth
   </span>
  </li>
  <br/>
  <li>
   <span>
    Potential pathway to a full-time role based on performance and impact
   </span>
  </li>
  <br/>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Program Highlights
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <br/>
  <li>
   <span>
    1-month internship program
   </span>
  </li>
  <br/>
  <li>
   <span>
    Fully onsite experience
   </span>
  </li>
  <br/>
  <li>
   <span>
    Dedicated mentor assigned throughout the internship
   </span>
  </li>
  <br/>
  <li>
   <span>
    Hands-on exposure to real projects and day-to-day activities
   </span>
  </li>
  <br/>
  <li>
   <span>
    Opportunity to learn from experienced professionals
   </span>
  </li>
  <br/>
  <li>
   <span>
    Certificate of completion awarded upon successful completion of the program
   </span>
  </li>
 </ul>
</div>


Data Engineer - Intern

F6 Ventures

<div><p>F6 Ventures is looking for a Marketing &amp; Communications intern to help bring our internship program to life. You'll work closely with our team to capture, document, and share the experiences, insights, and achievements of our interns while gaining hands-on exposure to venture capital and entrepreneurship across Africa, the GCC, and the Levant.</p><br>
<p><b>
What You&rsquo;ll Do:</b></p>
<ul>
<li>Create content for our social media channels, including posts, stories, photos, and videos</li>
<li>Document the internship journey and highlight key moments, events, and experiences</li>
<li>Support content planning, scheduling, and community engagement</li>
<li>Assist with marketing, communications, and branding initiatives</li>
<li>Collaborate with interns and team members to develop creative storytelling content</li>
<li>Monitor and analyze venture capital ecosystem content, campaigns, and social media activities, and provide insights and recommendations to strengthen F6 Ventures' marketing and communications efforts</li>
<li>Assist with updating and maintaining the F6 Ventures website</li><br>
</ul>
<p><b>What We&rsquo;re Looking For:</b></p>
<ul>
<li>Strong written and visual storytelling skills</li>
<li>Interest in social media, marketing, communications, and content creation</li>
<li>Familiarity with content creation tools and social media platforms</li>
<li>Creativity, initiative, and attention to detail</li>
<li>Photography, videography, or graphic design skills are a plus</li></ul></div><p></p>

Summer Internship | Marketing & Communications

Juhayna Food Industries

<div>
 <p>
  <strong>
   Why We Built This Program?
  </strong>
 </p>
 <p>
  Our
  <strong>
   Summer Internship Program
  </strong>
  is designed with one clear mission: to bridge the gap between academic ambition and real-world execution. We provide a dynamic, fast-paced, and innovative environment where your ideas aren't just heard&mdash;they are put into action. This isn&rsquo;t a sideline seat; it&rsquo;s your front-row ticket to understanding how a market-leading business operates from the inside out.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We believe in fueling the future by empowering the next generation of leaders, innovators, and thinkers.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Who Should Apply?
  </strong>
 </p>
 <p>
  We are looking for motivated ambitious university
  <strong>
   students and fresh graduates
  </strong>
  who are:
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Eager to gain real-world experience, work on meaningful projects, and learn from industry professionals
  </li>
  <li>
   Fiercely curious, adaptable, and eager to absorb new knowledge to turn theory into impact
  </li>
  <li>
   Collaborative Team Player who thrives in a cross-functional setup and values the importance of communication and diverse perspectives
  </li>
  <li>
   Ready to support daily operations, dig into data when needed, and comfortably prepare presentations or reports
  </li>
  <li>
   Bold enough to bring fresh ideas to life and enthusiastic about contributing to a fast-moving, innovative environment
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Program Highlights
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Paid Internship
   </strong>
  </li>
  <li>
   <strong>
    Duration:
   </strong>
   3 rounds in July, August, and September (4 weeks per round)
  </li>
  <li>
   <strong>
    Location:
   </strong>
   6th of October
  </li>
  <li>
   <strong>
    Departments:
   </strong>
   HR, IT, Marketing, Sales, Legal, Finance, Supply Chain, Engineering, Production, Maintenance, R&amp;D, Quality, Agriculture Engineering, and Veterinary
  </li>
 </ul>
</div>


Internship Program 2026 | Nourish Your Future

Zewail City of Science and Technology

<div><div><h3 class="jobSectionHeader"><b>Zewail City of Science, Technology &amp; Innovation</b></h3>
</div><div><div><div>Type:</div>
<div>Part Time</div>
</div><div><div>Published:</div>
<div>2026-06-10</div>
</div><div><div>Deadline:</div>
<div>2026-07-06</div>
</div><div><div>Language:</div>
<div>English</div>
</div></div><div><h3 class="jobSectionHeader"><b>Description:</b></h3>
<p>The University of Science and Technology at Zewail City of Science, Technology and Innovation is seeking Adjunct Faculty at the School of Computational Sciences and Artificial Intelligence.</p>
<h3 class="jobSectionHeader"><b>Qualifications and Courses:</b></h3>
<p>Applicants should hold a Ph.D. in a relevant area to the following specializations from a recognized highly reputable University:</p>
<ul><li>Data Science and Artificial Intelligence</li>
<li>Software Engineering</li>
<li>Cyber Security</li>
</ul><p>Applicants should possess strong academic credentials and a demonstrated commitment to teaching excellence, student engagement, and high-quality instruction.</p>
<p>Applicants should show their proficiency to teach one or more of the following courses:</p>
<ul><li>Software Project Management, Embedded Systems, Object-Oriented Analysis and Design (using Java), Software Testing, Validation, and Quality Assurance (using Java), Design and Geometric Modeling for Visualization and Communication, Visual Effects Production, Prototyping Algorithmic Experiences, Human Information Processing and Artificial Intelligence, AI Based Products and Services, User-Focused Sensing Systems.</li>
<li>Neural Networks and Deep Learning, Machine Learning, NLP, Computer Vision, Speech Recognition, Deep Reinforcement Learning, Generative AI, MLOPs, Explainable AI, LLM, Knowledge Representation &amp; Reasoning, Cloud Computing,</li>
<li>Data Mining, Information Retrieval, Data Governance, Data Integration &amp; Visualization, Big Data Analytics.</li>
<li>Cyber Security, Secure Programming, System Administration for Security, Applied Cryptography, Ethical Hacking and Penetration Testing, Digital Forensics, Malware Analysis, Network Security, Cloud Security, IOT Security, Governance, Risk and Compliance (GRC).</li>
</ul><h3 class="jobSectionHeader"><b>Program/School:</b></h3>
<p>School of Computational Sciences and Artificial Intelligence</p></div></div><p></p>

Adjunct Faculty - School of Computational Sciences and Artificial Intelligence

<div><div><h3 class="jobSectionHeader"><b>Zewail City of Science, Technology &amp; Innovation</b></h3>
</div><div><div><div>Type:</div>
<div>Full Time</div>
</div><div><div>Published:</div>
<div>2026-06-11</div>
</div><div><div>Deadline:</div>
<div>2026-06-24</div>
</div><div><div>Language:</div>
<div>English</div>
</div></div><div><h3 class="jobSectionHeader"><b>Qualifications:</b></h3>
<p>Applicants should have:</p>
<ul><li>A PhD in Computer Engineering, Electrical Engineering, or a closely related Engineering field from a highly reputable institution.</li>
<li>A strong academic background and established research profile in computer engineering and/or information engineering related areas.</li>
<li>Demonstrated ability to teach effectively in English at both undergraduate and graduate levels.</li>
<li>Proven experience with modern engineering education methodologies, including project-based learning and laboratory-centered instruction.</li>
<li>A strong record of high-quality research publications and graduate student supervision.</li>
<li>Demonstrated success in applying for and securing national and/or international research funding.</li>
<li>Familiarity with national and international accreditation standards (ABET or equivalent).</li>
<li>Experience in establishing and developing research laboratories, research groups, or research tracks.</li>
<li>Experience in curriculum design and development, particularly for computer engineering and systems-oriented programs.</li>
<li>Excellent communication, teamwork, and interpersonal skills.</li>
</ul><h3 class="jobSectionHeader"><b>Job Responsibilities</b></h3>
<p>Successful candidates are expected to:</p>
<ul><li>Teach undergraduate and graduate courses in Computer Engineering, including but not limited to:
<ul><li>Computer Architecture and Advanced Computer Systems</li>
<li>Digital Systems Design</li>
<li>Embedded Systems and Real-Time Systems</li>
<li>Operating Systems and Systems Programming</li>
<li>Software Engineering</li>
<li>Algorithms Design and Analysis</li>
<li>Cloud Computing and Distributed Systems</li>
<li>Big Data Analytics and Data-Intensive Computing</li>
<li>Hardware&ndash;Software Co-Design and System Integration</li>
</ul></li><li>Develop, sustain, and lead an active, externally funded research program in one or more areas aligned with the Computer Engineering track, such as:
<ul><li>Intelligent and data-driven systems</li>
<li>Cloud, distributed, and high-performance computing</li>
<li>Embedded and real-time computing systems</li>
<li>Data-centric and large-scale computing architectures</li>
</ul></li><li>Publish research outcomes in high-impact, peer-reviewed international journals and conferences.</li>
<li>Supervise undergraduate capstone projects as well as Master&rsquo;s and PhD students.</li>
<li>Contribute to curriculum development and continuous improvement of the Communications and Computer Engineering (CCE) program, particularly the Computer Engineering concentration.</li>
<li>Participate in interdisciplinary research initiatives and collaborative projects with industry, national laboratories, and international research institutions.</li>
<li>Support innovation, technology transfer, and entrepreneurship activities, including applied research and industry-driven projects.</li>
<li>Provide academic and institutional service at the program, school, and university levels.</li>
</ul><p>Applications and CVs must be submitted exclusively through the &ldquo;Job&rsquo;s link&rdquo; any submissions made through other channels will not be considered</p></div></div>

Full-Time Faculty – School of Engineering - Computer Engineering

Vodafone

<div>
 <strong>
  Join Us
  <br/>
  <br/>
 </strong>
 At Vodafone, we&rsquo;re not just shaping the future of connectivity for our customers &ndash; we&rsquo;re shaping the future for everyone who joins our team. When you work with us, you&rsquo;re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.
 <br/>
 <br/>
 <strong>
  Role Purpose
  <br/>
  <br/>
 </strong>
 Vodafone Egypt consumer marketing team seeks a
 <strong>
  Senior
 </strong>
 <strong>
  Data Scientist
 </strong>
 to boost business`s decisions towards a data-driven decisions.
 <br/>
 <br/>
 As part of our Data Science team, you will work alongside data scientists, big data engineers, and business stakeholders to define data science use cases, advise and solve complex problems and being positioned as the local technical expert.. You will be responsible for implementing and maintaining use case pipelines, and communicating results to scientists, product managers, and customers.
 <br/>
 <br/>
 Your work will directly impact millions of our customers in the form of products, services and offers. You will gain hands on experience with Vodafone&rsquo;s huge volume of data and large-scale computing resources
 <br/>
 <br/>
 <strong>
  Key Accountabilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Identifying business opportunities to make a commercial difference
  </li>
  <li>
   leads the development of analytics initiatives to meet business requirements
  </li>
  <li>
   Translates complex datasets into strategic insights for the business and communicates simply to non-technical audiences, visualising results, to create understanding and solution buy-in
  </li>
  <li>
   Recognised as an expert in the community, mentoring and advising colleagues on statistical techniques, algorithms and data sources
  </li>
  <li>
   Works closely with Technology teams to design, build, test, deploy, maintain and improve technology solutions and models
  </li>
  <li>
   Identifies new analytics trends and opportunities to drive the innovation agenda across business functions &amp; Advanced Analytics
  </li>
  <li>
   Spread Design Thinking and Agile methodologies
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Core Competencies
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You should be passionate about working with huge data sets and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in creation and management of datasets
  </li>
  <li>
   You should be detail-oriented and must have an aptitude for solving unstructured problems. You should work in a self-directed environment, own tasks and drive them to completion
  </li>
  <li>
   Ability to test hypotheses from raw data sets, draw meaningful conclusions, and effectively communicate results verbally, in writing, and through effective visualization
  </li>
  <li>
   Strong knowledge of Big Data technology (e.g. Hadoop MR, interactive SQL on Hadoop, NoSQL, Spark, Tableau, GIS)
  </li>
  <li>
   Deep and broad statistical modelling expertise in various domains
  </li>
  <li>
   Ability to work cross functional teams to translate business issues into potential analytics solutions
  </li>
  <li>
   Excellent analytical &amp; Presentation skills
  </li>
  <li>
   Ability to work in multitasks under pressure
  </li>
  <li>
   Excellent command of English
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Must have technical / professional qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Master&rsquo;s (or equivalent) in quantitative fields like Mathematics, Statistics, Computer Science or Engineering
  </li>
  <li>
   Minimum of 3 years of relevant experience with a focus on advanced analytics and predictive modelling
  </li>
  <li>
   Competent in machine learning principles, deep learning and generative AI techniques
  </li>
  <li>
   Proficient in statistical packages and ML libraries (e.g. Python SciPy and Tensorflow, Spark MLlib)
  </li>
  <li>
   Familiar with leading visualisation tools (e.g. Tableau, Spotfire, Power BI)
  </li>
  <li>
   Familiar with implementing data transformations and algorithms in common programming languages
  </li>
  <li>
   Strong communication skills with prior experience communicating analytics results to senior management
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who We Are
  <br/>
  <br/>
 </strong>
 We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.
 <br/>
 <br/>
 Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. ;We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.
 <br/>
 <br/>
 If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to https://careers.vodafone.com/application-adjustments/ for guidance.
 <br/>
 <br/>
 Together we can.
</div>


Sr. Data Scientist

Kraft Heinz

<div></div><div><div><b>The Kraft Heinz Global Manufacturing Trainee Program &ndash; </b><b><i>6 October, Egypt
</i></b></div><div><b>Program Start Date: </b>1 September 2026
</div><div><b>Duration: </b>12-month program
</div><div><b>Contract: </b>Permanent contract from the beginning of the Trainee Program
</div><div><b>Business Function: </b>Manufacturing, Production, Logistics, Supply Chain
</div><div><b>Location: </b>Apply for a traineeship in our <b><i>6 October Factory<br>
</i></b></div><div></div><br>
<div><b>About Us
</b></div><div>Kraft Heinz is a global food company with a delicious heritage. With iconic and emerging food and beverage brands around the world, we deliver the best taste, fun and quality to every table we touch. Consumer obsession fuels our progress as we drive innovation across every part of our company.<br>
</div><div></div><br>
<div><b>The Kraft Heinz Global Manufacturing Traineeship Program:
</b></div><div>This Program is a functional program at our factories for graduates seeking an exciting leadership career in the manufacturing environment. We are looking for high-performing, ambitious, and creative individuals who are ready to lead the future of food and beverages. Throughout the program, Trainees will hone their understanding of our business through factory rotations, collaborate across the business to grow our iconic brands, and learn how to build their own legacy.<br>
</div><div></div><br>
<div><b>What&rsquo;s on the Menu?
</b></div><div>Your journey will start with a functional global onboarding in September 2026, giving you a hands-on induction into each of our different functions, from our Middle East &amp; Africa offices. From October 2026, you will be placed in our 6 October Factory, in Egypt, for a local factory onboarding.
</div><div>Our Global Manufacturing Trainee Program includes:
</div><ul><li>Intensive, hands-on onboarding focused on our Operations and Supply Chain functions
</li><li>Training in the Kraft Heinz Manufacturing Excellence Program, and a range of other foundational business training - i.e. Lean Six Sigma
</li><li>You will spend your first rotation completing a factory-based efficiency/productivity improvement business project where you will apply Lean Six Sigma methodology to obtain your Yellow Belt Certification
</li><li>The second rotation will consist of taking on a factory Team Leader, a Continuous Improvement Lead, or a Process Owner assignment, where you will develop a deep understanding of our manufacturing processes whilst also strengthening your leadership skills
</li></ul><div>Throughout the program, Trainees can also expect regular opportunities to meet with our Global leaders; receive mentorship from previous trainees; collaborate with trainees around the world; and enrol in learning experiences to help you grow as leaders.<br>
</div><div></div><br>
<div><b>What we&rsquo;ll give you:
</b></div><ul><li>Fast-tracked career progression &ndash; Real responsibility from day one, leading teams and working on projects with real business impact at our factories
</li><li>Global exposure &ndash; You will be part of our Global Manufacturing Traineeship cohort where you&rsquo;ll connect with Trainees across Europe, USA, Latin America, ANZ &amp; Asia. You&rsquo;ll also work closely with our commercial Trainees within the Kraft Heinz Trainee Program as well as our Zone Technical Experts
</li>Training &amp; Development &ndash; Strong personal &amp; professional development including technical training, leadership experience, regular mentorship, and senior leader exposure<br>
<li>
</li></ul><div></div><br>
<div><b>Profile &ndash; Basic Qualifications:
</b></div><ul><li>University bachelor&rsquo;s or master&rsquo;s degree, graduated on or after 2025 from any subject area.
</li><li>Maximum 1 year of professional experience after Graduation.
</li>Strong proficiency in English is required.<br>
<li>
</li></ul><div></div><br>
<div><b>﻿ </b><b>Our Values:
</b></div><div>Our Trainees are expected to live out the Kraft Heinz values as cultural champions and future leaders at the organization. At Kraft Heinz, our values are:
</div><ul><li>We are consumer obsessed
</li><li>We dare to do better every day
</li><li>We champion great people
</li><li>We demand diversity
</li><li>We do the right thing
</li><li>We own it</li></ul></div>

Global Manufacturing Trainee

Explore 45+ Sales data analytics intern nextgen talent internship program 2026 in Giza this July. Find roles across top companies and apply now to boost your career.