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data analyst

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data engineer (databricks + pyspark) Jobs in Egypt

data engineer (databricks + pyspark)

data scientist

staff data scientist

RATP Dev Mobility Cairo

<div>
 <strong>
  Job Purpose
  <br/>
  <br/>
 </strong>
 The Data Scientist is responsible for leveraging data to generate insights, support decision-making, and enhance operational efficiency. The role focuses on analyzing complex datasets from various business systems (such as timetables, schedules, ridership data, and maintenance systems) and translating them into actionable intelligence. This includes developing data-driven models, creating dynamic visualizations, and collaborating with stakeholders to improve data adoption and utilization across the organization.
 <br/>
 <br/>
 <strong>
  Responsibilities/Duties
  <br/>
  <br/>
 </strong>
 <strong>
  Profil de candidat recherch&eacute; :
  <br/>
  <br/>
 </strong>
 <strong>
  Data Science &amp; Analytics
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Perform data transformations, cleaning, and preprocessing to ensure quality and reliability.
  </li>
  <li>
   Design, test, and implement machine learning and AI models to support predictive and operational needs.
  </li>
  <li>
   Maintain and update a library of analytical tools, scripts, and programs.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Business Intelligence &amp; Visualization
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, develop, and maintain interactive dashboards and reporting solutions using Power BI, Qlik Sense, and other tools.
  </li>
  <li>
   Build dynamic visualizations that support decision-making across operations and maintenance functions.
  </li>
  <li>
   Document processes and maintain user guides to ensure smooth adoption of reporting solutions.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Collaboration &amp; Communication
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner with internal departments to define data needs, establish data streams, and enhance KPI tracking.
  </li>
  <li>
   Liaise with software vendors and internal teams to ensure desired system features and performance are met.
  </li>
  <li>
   Clearly communicate findings and explain complex concepts to both technical and non-technical stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Continuous Improvement &amp; Knowledge Sharing
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Identify opportunities to restructure source data and influence the adoption of cleaner data structures.
  </li>
  <li>
   Provide training sessions, short briefs, and knowledge-sharing activities to upskill colleagues.
  </li>
  <li>
   Promote the use of company data tools, AI models, and portals to increase adoption and business value.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Safety Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Promote a positive safety culture within the workplace and attend any safety-related meetings or briefings as required within the job role.
  </li>
  <li>
   Comply with the requirements of RDMC RQHSE Policy and Safety Management System.
  </li>
  <li>
   Be mindful that Safety, Security, and Environmental protection are everyone&rsquo;s responsibility.
  </li>
  <li>
   All staff members are accountable for reporting and intervening in any Safety, Security, or Environmental violations.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <strong>
  ESSENTIAL QUALIFICATIONS, KNOWLEDGE &amp; EXPERIENCE
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Computer Engineering, Mathematics, or a related STEM field.
  </li>
  <li>
   Additional certifications in Data Science, Machine Learning, AI, or data visualization technologies are an advantage.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Knowledge
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proficiency in English; French is a plus.
  </li>
  <li>
   Strong understanding of relational databases (SQL Server, MySQL, Oracle, etc.) with the ability to write queries.
  </li>
  <li>
   Knowledge of data visualization and analytics concepts.
  </li>
  <li>
   Ability to develop practical solutions using data.
  </li>
  <li>
   Proficiency in Microsoft Office applications.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3&ndash;5 years of relevant experience in data science, software development, or data analysis.
  </li>
  <li>
   Hands-on experience in programming (Python, C++ or similar).
  </li>
  <li>
   Practical experience with data visualization tools (Power BI, Qlik, Excel).
  </li>
  <li>
   Proven track record of delivering data science projects as a hands-on implementer.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Desired Behaviors &amp; Experiences
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Demonstrates curiosity and persistence in identifying insights and creating business value.
  </li>
  <li>
   Able to work independently and collaborate effectively within a team environment.
  </li>
  <li>
   Communicates clearly and confidently, both verbally and in writing, to different audiences.
  </li>
  <li>
   Show adaptability and flexibility when working with diverse stakeholders.
  </li>
  <li>
   Strong problem-solving skills with the ability to manage competing priorities.
  </li>
  <li>
   Takes initiative, meets deadlines, and shows accountability for results.
  </li>
 </ul>
</div>


Data Scientist

Capgemini

<div><div><div><p>Cairo</p><div>
Data Scientist (Machine Learning Engineer)</div><p>
</p></div></div><p></p><div><div><div><div><div><div>
About Capgemini</div><div>
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of &euro;22.1 billion.</div><div>
</div><div></div><p>Job Responsibities:</p><p><br>
Machine Learning &amp; AI Solutions</p><ul><li>
Design and implement Agentic AI solutions and applications.</li><li>
Experience in Data Science, Data Mining, Machine Learning tasks (e.g. feature engineering, model training, evaluation, and deployment).</li><li>
Monitor model performance and implement retraining strategies to ensure long-term accuracy and relevance.</li></ul><p>
Cloud &amp; Data Engineering</p><ul><li>
Collaborate with data engineers to ensure robust data preprocessing, transformation, and storage strategies.</li></ul><p>
MLOps &amp; Automation</p><ul><li>
Familiarity with CI/CD pipelines tailored for ML workflows, including automated testing, model versioning, and deployment.</li></ul><p>
Collaboration &amp; Innovation</p><ul><li>
Work closely with cross-functional teams including data scientists, product managers, and business stakeholders to translate business needs into technical solutions.</li><li>
Contribute to knowledge sharing and best practices across the team.</li></ul><p>
</p><p>Job Requirements:</p><p>
</p><p>Technical Skills:</p><ul><li>
Strong proficiency in python, data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and agentic application development libraries (e.g. LangChain, LangGraph).</li><li>
Strong command of SQL and experience with large-scale data processing tools (e.g., Spark, Pandas).</li><li>
Familiarity with cloud platforms (Azure, AWS, GCP) and their ML services.</li><li>
Familiarity with MLOps practices, including CI/CD, containerization (Docker), and orchestration (Kubernetes).</li><li>
Familiarity with Git and collaborative development workflows.</li></ul><p>
Experience:</p><ul><li>
2-5 years of experience in solving real-world business problems using AI</li></ul><ul><li>
Proven track record of deploying and maintaining ML models in production environments.</li></ul><p>
Communication Skills:</p><ul><li>
Excellent written and verbal communication skills to collaborate effectively with cross-functional teams.</li><li>
Fluent in Arabic &amp; English, both spoken and written (German is a plus!)</li><li>
Able to listen to and understand customer needs and articulate them as technical requirements to the team.</li></ul><p>
Additional Skills:</p><ul><li>
Strong problem-solving abilities and attention to detail.</li><li>
Ability to work collaboratively in a team environment.</li><li>
Self-motivated with a continuous learning mindset.</li></ul></div></div><div><div><div>
<div><div>Ref. code</div><div>
362478-en_US</div></div><div><div>
Posted on</div><div>
08 Mar 2026</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Permanent</div></div><div><div>
Location</div><div>
Cairo</div></div><div><div>
Business unit</div><div>
INVENT</div></div><div><div>
Brand</div><div>
Capgemini</div></div><div><div>
Professional communities</div><div>
Data &amp; AI</div></div></div></div></div></div></div></div></div><p></p>

Data Scientist (Machine Learning Engineer)

sonnen Egypt

<div>
 <strong>
  Standort
  <br/>
  <br/>
 </strong>
 Cairo, EG
 <br/>
 <br/>
 <strong>
  Stellen-ID
 </strong>
 : 4758
 <br/>
 <br/>
 Join the energy revolution with #teamsonnen!
 <br/>
 <br/>
 At sonnen, we&rsquo;re driven by a clear goal: creating a future powered by clean, affordable energy for everyone. That&rsquo;s why we make our customers independent &ndash; not only from fossil fuels, but also from rising electricity costs.
 <br/>
 <br/>
 The key to this independence is our intelligent, all-in-one energy system. It combines solar panels, battery storage, energy tariffs, and wallboxes &ndash; all developed and manufactured in Germany.
 <br/>
 <br/>
 As the first and only provider in Germany, we also connect thousands of home batteries into one shared network: the sonnenVPP, our industry-leading virtual power plant.
 <br/>
 <br/>
 In short: every day, we&rsquo;re working to shape the energy future. And we&rsquo;d be thrilled to have you join us!
 <br/>
 <br/>
 We are seeking a Data Engineer (m/f/d) to join our team and play a pivotal role in enabling our Business Intelligence and Data Science teams. As a Data Engineer, you will be responsible for maintaining and enhancing our AWS-based analytics platform, provisioning data from various sources, and enabling the development and stable operation of analytical solutions. We&rsquo;re looking for someone who shares our values, who isn&rsquo;t afraid to challenge existing processes, and who would like to work on innovative solutions in a fast-moving environment. If this sounds like you, then don&rsquo;t hesitate to get in touch.
 <br/>
 <br/>
 <strong>
  What you will do to help drive the energy transition:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   (Senior) Define and design the architecture of our analytics platform, ensuring scalability, performance, and reliability.
  </li>
  <li>
   You design and build scalable data pipelines, ETL processes, and data lake and data warehousing solutions to support our analytics solutions.
  </li>
  <li>
   You develop and maintain data integration processes with a variety of structured and unstructured data sources.
  </li>
  <li>
   You implement, test, and maintain infrastructural components of sonnen&rsquo;s analytics platform and deploy and maintain data models.
  </li>
  <li>
   You implement data quality checks and monitoring mechanisms to ensure accuracy, completeness, and consistency of data.
  </li>
  <li>
   You define coding principles and support data scientists and analysts in implementing algorithms into operational solutions.
  </li>
  <li>
   Adhere to stringent quality assurance and documentation standards, utilizing version control and code repositories such as Gitlab.
  </li>
  <li>
   You stay up to date with emerging trends and technologies in data engineering and assess their potential applications to our business needs.
  </li>
  <li>
   (Senior) Share your knowledge by coaching/pair coding with more junior engineers.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You Will Need On That Journey
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in computer science or a related technical field.
  </li>
  <li>
   +3 years of relevant employment experience in roles such as Data Scientist, Data Engineer, or Data Architect.
  </li>
  <li>
   +3 years of experience with ETL tools, Data Modeling, and Data Architecture.
  </li>
  <li>
   Experience with Big Data technologies such as Hadoop, Hive, and Spark.
  </li>
  <li>
   Ability to translate organizational goals into technical solutions.
  </li>
  <li>
   Experience with Infrastructure as Code (experience in Terraform and Ansible are a plus).
  </li>
  <li>
   Proficiency in Python, SQL, and NoSQL.
  </li>
  <li>
   Excellent communication and project management skills.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Stellensegment:
 </strong>
 Computer Science, Data Warehouse, Business Intelligence, Quality Assurance, Project Manager, Technology
</div>


Data Engineer (m/f/d)

Coca-Cola HBC

<div>
 <p>
  <strong>
   Department
  </strong>
  : Data, Insights &amp; AI Products &amp; Platforms
 </p>
 <p>
  <strong>
   Location
  </strong>
  : Egypt (Cairo).
 </p>
 <p>
  <br/>
 </p>
 <p>
  As an Artificial Intelligence (AI) Developer will join our growing DTPS Visual Analytics team. He/She will be responsible for designing and developing AI applications and systems that drive innovation and improve our existing products and services. He/She will focus on developing the tools, systems, and processes that enable artificial intelligence to be applied in the real world. Any application where machines mimic human functions, such as solving problems and learning, can be considered artificial intelligence. This role includes AI development in Power BI to deliver intelligent, data-driven visual analytics.
 </p>
 <p>
  He/She will collaborate with cross-functional teams, including data scientists, data engineers, and product managers, to bring AI-powered solutions to life.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   YOUR NEW KEY RESPONSIBILITIES:
  </strong>
 </p>
 <p>
  &bull; Part of a team responsible for charting the AI strategy and defining the problems to be solved with AI.
 </p>
 <p>
  &bull; Integration of advanced AI features into Power BI reports.
 </p>
 <p>
  &bull; Use of AI visuals like decomposition trees, key influencers, and Q&amp;A.
 </p>
 <p>
  &bull; Collaboration with business users to deliver intelligent, AI-powered dashboards.
 </p>
 <p>
  &bull; Embedding machine learning models into Power BI using Azure ML.
 </p>
 <p>
  &bull; Enabling predictive analytics and NLP (Natural Language Processing) within reports.
 </p>
 <p>
  &bull; Participate in code and design reviews to maintain a high-quality codebase.
 </p>
 <p>
  &bull; Collaborate across teams to help with AI adoption and best practices.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ARE THESE YOUR SECRET INGREDIENTS?
  </strong>
 </p>
 <p>
  &bull; Bachelor&rsquo;s or master&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field.
 </p>
 <p>
  &bull; 3+ years of experience in AI, machine learning, or applied analytics, ideally with a focus on business intelligence tools.
 </p>
 <p>
  &bull; Proven experience developing AI-powered solutions in Power BI, including use of AI visuals (e.g., key influencers, decomposition trees, Q&amp;A), and integrating ML models via Azure ML.
 </p>
 <p>
  &bull; Strong understanding of Power BI architecture, DAX, Power Query, and data modeling best practices.
 </p>
 <p>
  &bull; Familiarity with Azure AI Services (e.g., OpenAI, AI Search, AI Language, AI Document Intelligence) and their integration into Power BI.
 </p>
 <p>
  &bull; Experience with Python and basic ML frameworks (e.g., scikit-learn) and model optimization in Power BI.
 </p>
 <p>
  &bull; Understanding of natural language processing (NLP) and its application in business reporting is a plus.
 </p>
 <p>
  &bull; Hands-on experience with Azure Machine Learning, Databricks, or Synapse Analytics is beneficial &ndash; focus on data preparation pipelines that feed into Power BI.
 </p>
 <p>
  &bull; Comfortable working in Agile environments using tools like Azure DevOps.
 </p>
 <p>
  &bull; Azure certifications (e.g., Azure Data Scientist Associate, Power BI Data Analyst Associate) are a plus.
 </p>
 <p>
  &bull; Strong analytical thinking, communication, and stakeholder collaboration skills.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ABOUT YOUR NEW TEAM
  </strong>
 </p>
 <p>
  We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
 </p>
 <p>
  We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
 </p>
 <p>
  We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.
 </p>
 <p>
  And although we have so much to be proud of, we always stay humble. We believe the real magic happens &ndash; for us and for you &ndash; when we OPEN UP.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
  </strong>
 </p>
 <p>
  At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.
 </p>
</div>


AI Developer

Mercedes-Benz Egypt

<div>
 <p>
  <strong>
   <u>
    Main tasks:
   </u>
  </strong>
 </p>
 <p>
  <strong>
   1- Debit/Credit Notes processing:
  </strong>
 </p>
 <ul>
  <li>
   Issuing Credit and Debit Note requests to accounting relevant to ALL service &amp; parts topics (e.g.: Dealers&rsquo; 8% Parts Margin for Warranty Plus claims, Audatex Cross-Charging, Service Packages Incentive, OTD&rsquo;s, WMI, warranty claim audit and claim processing, Dealer Bonus Pay-out.. etc.)
  </li>
  <li>
   Issuing Debit notes for MB Warranty claims charge back
  </li>
  <li>
   Monitoring departmental expenses and preparing monthly reports
  </li>
  <li>
   Communicating findings to the relevant functions to promote accountability and transparency.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   2 - Contractual agreements, Purchase Requisition/Orders &amp; Sales Order Processing
  </strong>
 </p>
 <ul>
  <li>
   Supplier selection/registration and contracts renewals
  </li>
  <li>
   Support in procurement process from documentation prospective / required signatures
  </li>
  <li>
   Suppliers Annual PO&rsquo;s and invoicing
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   3- Logistic Center Support
  </strong>
 </p>
 <ul>
  <li>
   Prepare manual sales / internal delivery sheets as required and accepted by system
  </li>
  <li>
   Central communication point for CS departments
  </li>
  <li>
   Support LC team for paper support from HQ
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   4 - ISO &ndash; Departmental Documentation Co-ordination
  </strong>
 </p>
 <ul>
  <li>
   Assisting coworkers in preparing &amp; updating departmental Processes
  </li>
  <li>
   Coordinating with Operational Excellence regarding the departmental processes.
  </li>
  <li>
   ISO Documents Consolidation and availability on SharePoint
  </li>
  <li>
   Leading functional improvement and optimization process.
  </li>
  <li>
   coordinating strategic projects with broader implications for MB Egypt.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   5- Retail network staff accesses control
  </strong>
 </p>
 <ul>
  <li>
   Monitoring Dealer&rsquo;s staff accesses to Xentry Portal/After sales Plus according to dealer standards.
  </li>
  <li>
   Provide personnel with assigned privileges.
  </li>
  <li>
   Coordinate with management for approval of assigned privileges.
  </li>
  <li>
   Coordinating with the responsible department for implementing provided privileges.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   6- Reporting &amp; Follow up
  </strong>
 </p>
 <ul>
  <li>
   Monthly Warranty Claims credit reporting to Dealers
  </li>
  <li>
   Suppliers contract data base follow up and updates
  </li>
  <li>
   Presidency payments follow up
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   7- Road Side Assistance
  </strong>
 </p>
 <ul>
  <li>
   RSA new retailed VINs biweekly submission
  </li>
  <li>
   RSA quarterly invoicing
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <p>
  <strong>
   Training and qualification:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s Degree in Business Administration/Engineering or any equivalent field
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Technical knowledge
  </strong>
 </p>
 <ul>
  <li>
   Familiar with MS Office applications (Excel-Word-PowerPoint)
  </li>
  <li>
   Business analysis knowledge (Experience in BI tools is recommended e.g. tableau ,power BI&hellip;etc.)
  </li>
 </ul>
 <p>
  <strong>
   Soft skills/individual competence
  </strong>
 </p>
 <ul>
  <li>
   Interpersonal skills with the ability to work under pressure
  </li>
  <li>
   Excellent communication skills
  </li>
  <li>
   Negotiation skills
  </li>
  <li>
   Reporting and process management
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Experience
  </strong>
  :
 </p>
 <ul>
  <li>
   1-3 years of experience in related fields
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Language
  </strong>
  :
 </p>
 <ul>
  <li>
   Good command of English Language
  </li>
 </ul>
</div>


Customer Service Back Office Support Senior Specialist

Mercedes-Benz Group

<div><div><div><div><div><div><div><div>T&auml;tigkeitsbereich:Sonstiges</div></div><div><div>
Fachabteilung:Service</div></div><div><div>
Gesellschaft:Mercedes-Benz Logistics and Distribution Egypt LLC</div></div><div><div>
Standort:Cairo, 90 South Road, Building Bureau 175, 5th Settlement</div></div><div><div>
Startdatum:sofort</div></div><div><div>
Ver&ouml;ffentlichungsdatum:08.03.2026</div></div><div><div>
Stellennummer:MER0004049</div></div><div><div>
Arbeitszeit:Vollzeit</div></div></div></div><div><div><div>
</div></div></div></div></div></div><div><div><div><div>Aufgaben<div><div><p>
Main tasks:</p><p>
1- Debit/Credit Notes processing:</p><ul><li>
Issuing Credit and Debit Note requests to accounting relevant to ALL service &amp; parts topics (e.g.: Dealers&rsquo; 8% Parts Margin for Warranty Plus claims, Audatex Cross-Charging, Service Packages Incentive, OTD&rsquo;s, WMI, warranty claim audit and claim processing, Dealer Bonus Pay-out.. etc.)</li><li>
Issuing Debit notes for MB Warranty claims charge back</li><li>
Monitoring departmental expenses and preparing monthly reports</li><li><p>
Communicating findings to the relevant functions to promote accountability and transparency.<br>
</p><p></p><p>2 - Contractual agreements, Purchase Requisition/Orders &amp; Sales Order Processing</p></li><li>
Supplier selection/registration and contracts renewals</li><li>
Support in procurement process from documentation prospective / required signatures</li><li><p>
Suppliers Annual PO&rsquo;s and invoicing</p><p></p><p><br>
</p><p>3- Logistic Center Support</p></li><li>
Prepare manual sales / internal delivery sheets as required and accepted by system</li><li>
Central communication point for CS departments</li><li><p>
Support LC team for paper support from HQ<br>
</p><p></p><p>4 - ISO &ndash; Departmental Documentation Co-ordination</p></li><li>
Assisting coworkers in preparing &amp; updating departmental Processes</li><li>
Coordinating with Operational Excellence regarding the departmental processes.</li><li>
ISO Documents Consolidation and availability on SharePoint</li><li>
Leading functional improvement and optimization process.</li><li><p>
coordinating strategic projects with broader implications for MB Egypt.<br>
</p><p></p><p>5- Retail network staff accesses control</p></li><li>
Monitoring Dealer&rsquo;s staff accesses to Xentry Portal/After sales Plus according to dealer standards.</li><li>
Provide personnel with assigned privileges.</li><li>
Coordinate with management for approval of assigned privileges.</li><li><p>
Coordinating with the responsible department for implementing provided privileges.</p><p></p><p><br>
6- Reporting &amp; Follow up</p></li><li>
Monthly Warranty Claims credit reporting to Dealers</li><li>
Suppliers contract data base follow up and updates</li><li><p>
Presidency payments follow up<br>
</p><p></p><p>7- Road Side Assistance</p></li><li>
RSA new retailed VINs biweekly submission</li><li>
RSA quarterly invoicing</li></ul></div></div></div></div></div><div><div><div>
Qualifikationen<div><div><p>
Training and qualification:</p><ul><li><p>
Bachelor&rsquo;s Degree in Business Administration/Engineering or any equivalent field</p><p></p><p><br>
Technical knowledge</p></li><br>
<p></p><li>
Familiar with MS Office applications (Excel-Word-PowerPoint)</li><li>
Business analysis knowledge (Experience in BI tools is recommended e.g. tableau ,power BI&hellip;etc.)</li></ul><p>
Soft skills/individual competence</p><ul><li>
Interpersonal skills with the ability to work under pressure</li><li>
Excellent communication skills</li><li>
Negotiation skills</li><li><p>
Reporting and process management</p><p><br>
Experience:</p></li><li><p>
1-3 years of experience in related fields</p><p><br>
Language:</p></li><li>
Good command of English Language<br>
</li></ul></div></div></div></div></div></div><div><div><div>
Benefits</div></div></div><div><div><div>
KontaktMercedes-Benz Logistics and Distribution Egypt LLC<div><div>
90 South Road, Building Bureau 175, 5th Settlement11835 Cairo</div><div>
Mariam Elharref E-Mail: mariam.elharref@mercedes-benz.com</div></div></div></div></div></div><div></div>

Waffarha

<div>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 The Call Center Manager is responsible for overseeing daily call center operations, ensuring high levels of customer satisfaction, team performance, and service quality. This role manages staff, optimizes processes, monitors KPIs, and works closely with other departments to meet business objectives.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Manage and supervise daily call center operations (inbound/outbound).
  </li>
  <li>
   Lead, coach, and develop team leaders and call center agents.
  </li>
  <li>
   Set performance goals and monitor KPIs such as AHT, SLA, CSAT, QA scores, and attendance.
  </li>
  <li>
   Ensure excellent customer service standards and handle escalated customer complaints.
  </li>
  <li>
   Prepare schedules, shifts, and workforce planning to meet service levels.
  </li>
  <li>
   Conduct regular performance reviews and provide constructive feedback.
  </li>
  <li>
   Identify training needs and coordinate onboarding and ongoing training programs.
  </li>
  <li>
   Develop and improve call center policies, procedures, and workflows.
  </li>
  <li>
   Prepare daily, weekly, and monthly performance reports for management.
  </li>
  <li>
   Ensure compliance with company policies, data privacy, and quality standards.
  </li>
  <li>
   Collaborate with HR, IT, and Operations to improve systems and processes.
  </li>
  <li>
   Manage call center tools, CRM systems, and telephony platforms.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications &amp; Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Business Administration, Management, or a related field (preferred).
  </li>
  <li>
   3&ndash;5 years of experience in call center operations, with at least 2 years in a managerial role.
  </li>
  <li>
   Strong leadership and people-management skills.
  </li>
  <li>
   Experience working with KPIs, dashboards, and performance reporting.
  </li>
  <li>
   Excellent communication and problem-solving skills.
  </li>
  <li>
   Ability to work under pressure and manage multiple priorities.
  </li>
  <li>
   Strong analytical and decision-making abilities.
  </li>
  <li>
   Proficiency in CRM systems and call center software.
  </li>
  <li>
   Fluent in English (additional languages are a plus).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Key Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Team leadership &amp; coaching
  </li>
  <li>
   Customer experience management
  </li>
  <li>
   Performance analysis &amp; reporting
  </li>
  <li>
   Conflict resolution
  </li>
  <li>
   Process improvement
  </li>
  <li>
   Time &amp; workforce management
  </li>
 </ul>
</div>


Call Center Manager

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