senior data engineer - data integration - databricks

data governance analyst

senior data engineer - data integration Jobs in Giza

senior data engineer - data integration

senior data engineer - data integration - databricks Jobs in Giza

sr. data scientist

data scientist

VodafoneThree

<div><div><div><div><h2 class="jobSectionHeader"><b>Join Us</b></h2>
</div><div><p>
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.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Role Purpose</b></h2>
</div><div><p>
Vodafone Egypt consumer marketing team seeks a <b>Data Scientist </b>to boost business`s decisions towards a data-driven decisions.</p><p></p><p><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>
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.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Key Accountabilities</b></h2>
</div><div><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</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Competencies &amp; Qualifications</b></h2>
</div><div><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></ul><ul><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</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Technical/Professional Skills</b></h2>
</div><div><ul><li>Master&rsquo;s (or equivalent) in quantitative fields like Mathematics, Statistics, Computer Science or Engineering</li><li>
0 to 2 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</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Who we are</b></h2>
</div><div><p>
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.</p><p>
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.</p><p>
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.</p><p>
Together we can.</p></div></div></div></div>

Data Scientist

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

<div>
 <strong>
  Introduction
  <br/>
  <br/>
 </strong>
 A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You&rsquo;ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you&rsquo;ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You&rsquo;ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
 <br/>
 <br/>
 <strong>
  Your Role And Responsibilities
  <br/>
  <br/>
 </strong>
 As a seasoned Data Engineer specializing in Data Integration, you will design and build solutions to transfer data from operational and external environments to the business intelligence environment. Your expertise will ensure the seamless flow of data throughout the business intelligence solution's lifecycle. Your primary responsibilities will include:
 <br/>
 <br/>
 <ul>
  <li>
   Design Data Integration Solutions: Create and implement Extract, Transform, and Load (ETL) processes to facilitate data transfer between environments, utilizing tools such as Informatica, Ab Initio software, and DataStage.
  </li>
  <li>
   Develop ETL Processes: Build and maintain efficient ETL processes to ensure accurate and timely data flow, adhering to best practices and industry standards.
  </li>
  <li>
   Implement Data Integration Tools: Utilize IBM's WebSphere Data Integration Suite to integrate data from various sources, ensuring data consistency and integrity.
  </li>
  <li>
   Ensure Seamless Data Flow: Monitor and troubleshoot data integration issues, collaborating with stakeholders to resolve problems and optimize data flow.
  </li>
  <li>
   Optimize Data Integration Solutions: Continuously evaluate and improve data integration solutions, identifying opportunities for process improvements and efficiency gains.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Technical And Professional Expertise
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Data Integration Solution Design: Experience with designing and building solutions to transfer data from operational and external environments to the business intelligence environment, utilizing tools such as Informatica, Ab Initio software, and DataStage.
  </li>
  <li>
   ETL Process Development: Experience in creating and implementing Extract, Transform, and Load (ETL) processes to facilitate data transfer between environments, adhering to best practices and industry standards.
  </li>
  <li>
   Data Integration Tool Implementation: Experience with utilizing IBM's WebSphere Data Integration Suite to integrate data from various sources, ensuring data consistency and integrity.
  </li>
  <li>
   Data Flow Optimization: Experience in monitoring and troubleshooting data integration issues, collaborating with stakeholders to resolve problems and optimize data flow.
  </li>
  <li>
   Data Integration Solution Evaluation: Experience in continuously evaluating and improving data integration solutions, identifying opportunities for process improvements and efficiency gains.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Technical And Professional Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Data Integration Tool Expertise: Experience with utilizing IBM's WebSphere Data Integration Suite, Informatica, Ab Initio software, and DataStage to integrate data from various sources, ensuring data consistency and integrity.
  </li>
  <li>
   ETL Process Optimization: Experience in optimizing ETL processes to ensure accurate and timely data flow, adhering to best practices and industry standards.
  </li>
  <li>
   Data Flow Troubleshooting: Experience in monitoring and troubleshooting data integration issues, collaborating with stakeholders to resolve problems and optimize data flow.
  </li>
 </ul>
</div>


Senior Data Engineer - Data Integration

Halan - حالا

<div>
 <p>
  <span>
   Key Duties &amp; Responsibilities
  </span>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <br/>
  <li>
   <span>
    Develop, maintain, and enhance MIS reports, dashboards, and performance tracking tools.
   </span>
  </li>
  <br/>
  <li>
   <span>
    Prepare daily, weekly, and monthly management reports and KPI dashboards.
   </span>
  </li>
  <br/>
  <li>
   <span>
    Analyze operational and performance data to identify trends, risks, and improvement opportunities.
   </span>
  </li>
  <br/>
  <li>
   <span>
    Provide actionable insights and recommendations based on data analysis.
   </span>
  </li>
  <br/>
  <li>
   <span>
    Design, develop, and maintain databases, reporting structures, and workflow tracking systems.
   </span>
  </li>
  <br/>
  <li>
   <span>
    Support decision-making through accurate and timely reporting.
   </span>
  </li>
  <br/>
  <li>
   <span>
    Collaborate with different business units to gather reporting requirements and business needs.
   </span>
  </li>
  <br/>
  <li>
   <span>
    Monitor collection and recovery performance metrics and ensure reporting accuracy.
   </span>
  </li>
  <br/>
  <li>
   <span>
    Participate in process improvement initiatives and recommend enhancements to reporting frameworks.
   </span>
  </li>
  <br/>
  <li>
   <span>
    Generate routine and ad-hoc reports, presentations, and analytical studies.
   </span>
  </li>
  <br/>
  <li>
   <span>
    Support month-end activities, incentive calculations, and performance reporting packages.
   </span>
  </li>
  <br/>
  <li>
   <span>
    Train and support team members on reporting tools and MIS processes.
   </span>
  </li>
  <br/>
  <li>
   <span>
    Ensure data quality, integrity, and consistency across reports and dashboards
   </span>
  </li>
  <br/>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <span>
   Requirements
  </span>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <br/>
  <li>
   <span>
    Bachelor's degree in Business Administration, Information Systems, Computer Science, Statistics, or a related field.
   </span>
  </li>
  <br/>
  <li>
   <span>
    Minimum 3 years of experience in MIS, Reporting, Data Analysis, Collections, or a related function.
   </span>
  </li>
  <br/>
  <li>
   <span>
    Strong proficiency in Microsoft Excel (Advanced Level).
   </span>
  </li>
  <br/>
  <li>
   <span>
    Experience in dashboard creation and data visualization tools (Power BI preferred).
   </span>
  </li>
  <br/>
  <li>
   <span>
    Good knowledge of databases, reporting systems, and data analysis techniques.
   </span>
  </li>
  <br/>
  <li>
   <span>
    Strong analytical and problem-solving skills.
   </span>
  </li>
  <br/>
  <li>
   <span>
    Excellent communication and presentation skills.
   </span>
  </li>
  <br/>
  <li>
   <span>
    Ability to work with large datasets and generate meaningful insights.
   </span>
  </li>
  <br/>
  <li>
   <span>
    Strong attention to detail and accuracy.
   </span>
  </li>
  <br/>
  <li>
   <span>
    Ability to manage multiple priorities and meet deadlines.
   </span>
  </li>
  <br/>
  <li>
   <span>
    Good command of English.
   </span>
  </li>
  <br/>
  <li>
   <span>
    IT background or technical understanding is an advantage
   </span>
  </li>
 </ul>
</div>


Senior ,  Retail Risk Mis & Analytics

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

VOIS

<div>
 <strong>
  Who We Are
  <br/>
  <br/>
 </strong>
 VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology &amp; Transformation.
 <br/>
 <br/>
 As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability.
 <br/>
 <br/>
 We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.
 <br/>
 <br/>
 #VOIS #BeUnrivalled #CreateTheFuture
 <br/>
 <br/>
 <strong>
  About This Role
  <br/>
  <br/>
 </strong>
 We are seeking a Data Analyst to support Vodafone Enterprise solutions by delivering high-quality insights and reporting to internal stakeholders and customers. The role focuses on analysing KPIs, monitoring inventory and asset performance, and identifying risks that may impact business outcomes. The individual will play a key part in supporting data-driven decision-making and continuous improvement initiatives in a dynamic, customer-focused environment.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 Gather, clean, and consolidate data from multiple sources to present accurate inventory and asset status.Produce weekly asset reports outlining current status and highlighting pending customer requests.Perform detailed analysis to identify process gaps, risks, and performance issues, and communicate findings to relevant teams.Facilitate weekly inventory reviews with customers and internal stakeholders, including RAG (Red, Amber, Green) status reporting.Develop weekly and monthly reports focused on NMR conformance and disconnection tracking.Respond to ad-hoc customer requests and queries, including validation of upgrade and bulk requests.Provide actionable recommendations to enhance performance, improve processes, and reduce risk of revenue impact.
 <br/>
 <br/>
 <strong>
  Who You Are
  <br/>
  <br/>
 </strong>
 Demonstrates strong analytical thinking and problem-solving capabilities with a structured approach to data interpretation.Communicates effectively in both Arabic and English, presenting insights clearly to both technical and non-technical audiences.Proficient in MS Office tools (Excel, Access, PowerPoint, SharePoint) and experienced in Python and Power BI dashboard development.Experienced in data analysis, with a solid understanding of business processes and data management systems.Able to manage multiple priorities in a fast-paced, deadline-driven environment while maintaining quality standards.Takes initiative, shows accountability, and contributes to continuous improvement efforts.Familiar with working in virtual and collaborative environments across different teams.Knowledgeable in process and quality management, with the ability to document standards and procedures effectively.
 <br/>
 <br/>
 <strong>
  Not a perfect fit?
  <br/>
  <br/>
 </strong>
 Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.
 <br/>
 <br/>
 <strong>
  What's In It For You
  <br/>
  <br/>
 </strong>
 Opportunity to work on enterprise-level data and analytics solutions within a global organisation.Exposure to cross-functional collaboration with international teams and stakeholders.A role that enables contribution to strategic, data-driven decision-making.Continuous development in advanced analytics tools and reporting practices.A supportive environment that values innovation, improvement, and professional growth.
 <br/>
 <br/>
 <strong>
  What Skills You Will Learn
  <br/>
  <br/>
 </strong>
 Advanced data analysis and interpretation techniques for business decision-making.Dashboard creation and data visualisation using Power BI.Enhanced proficiency in Python for data processing and analytics.Stakeholder management and presentation of insights to diverse audiences.Process optimisation and performance monitoring within enterprise environments.
 <br/>
 <br/>
 <strong>
  VOIS Equal Opportunity Employer Commitment
  <br/>
  <br/>
 </strong>
 Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.
 <br/>
 <br/>
 <strong>
  Join Us
  <br/>
  <br/>
 </strong>
 At Vodafone, we&rsquo;re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.
 <br/>
 <br/>
 We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.
 <br/>
 <br/>
 With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.
 <br/>
 <br/>
 <strong>
  Alert
  <br/>
  <br/>
 </strong>
 Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud.
 <br/>
 <br/>
 #JDEnhancedByTARA
 <br/>
 <br/>
 <strong>
  Follow us on social media
  <br/>
  <br/>
 </strong>
 LinkedIn: https://www.linkedin.com/company/vois/Facebook: https://www.facebook.com/voisglobalInstagram: https://www.instagram.com/voisglobal/You can also chat with our employees to learn more about our projects: https://lnkd.in/dpkrcvR2
</div>


DLM Enterprise Data Analyst - VOIS

<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

Explore 25+ Data scientist in Giza this June. Find roles across top companies and apply now to boost your career.