ai developer

ai/ml engineer

analyst

data analyst

data scientist

data engineer

Coca-Cola HBC

<div>
 
 
 Department
 
 : Data, Insights &amp; AI
 
 
 
 Location
 
 : Egypt (Cairo).
 
 
 
 
 We are expanding our team and seeking a highly skilled Data Engineer with strong expertise in Microsoft Azure, solid knowledge of machine learning, experience with modern software delivery practices, and a curious mindset toward artificial intelligence applications to join our Analytics Engineering team within the Digital &amp; Technology Platform Services (DTPS) organization at Coca‑Cola Hellenic. In this role, you will contribute to shaping the strategy, design, and development of advanced analytics solutions that deliver meaningful insights and support data‑driven decision‑making across the business. You will be part of the Data Insights and Artificial Intelligence (DIAI) team, integrating and transforming data into scalable, analytics‑ready solutions and cutting‑edge machine learning applications.
 
 
 
 
 
 YOUR NEW KEY RESPONSIBILITIES:
 
 
 <ul>
 <li>
 Design, develop, implement, and optimize scalable, high performance, secure, and cost-efficient data pipelines using Microsoft Azure cloud services and large scale data technologies, including Apache Spark and PySpark built with object-oriented programming principles.
 </li>
 <li>
 Load and process data from Azure Data Lake, orchestrate Azure Databricks jobs, and manage Azure Data Factory pipelines with a high degree of proficiency.
 </li>
 <li>
 Develop and implement robust data quality frameworks to ensure data integrity across all stages of the data lifecycle.
 </li>
 <li>
 Perform data profiling, analysis, and validation to identify, troubleshoot, and resolve data quality issues in a timely and effective manner.
 </li>
 <li>
 Implement security, governance, and access control measures to safeguard sensitive data within Microsoft Azure environments.
 </li>
 <li>
 Build and maintain machine learning workflows and data pipelines that support model development, deployment, and ongoing monitoring.
 </li>
 <li>
 Utilize Git based version control to manage code repositories, apply structured branching strategies, and enable collaborative development practices.
 </li>
 <li>
 Apply Agile methodologies to plan, prioritize, and deliver data engineering work in iterative development cycles.
 </li>
 <li>
 Develop and maintain comprehensive documentation for data solutions, including data models, data flows, architectural diagrams, and detailed technical specifications.
 </li>
 <li>
 Stay up to date with Microsoft Azure data services, large scale data tools, DevOps practices, and broader industry best practices, providing recommendations for adoption and continuous improvement.
 </li>
 <li>
 Collaborate with Azure developers and data engineers from Coca Cola Hellenic vendors, offering guidance on data engineering techniques, standards, and methodologies.
 </li>
 <li>
 Work closely with DevOps teams to implement and maintain continuous integration and continuous delivery pipelines for Azure based applications and data workflows.
 </li>
 <li>
 Support Microsoft Power Business Intelligence developers by evaluating and optimizing data connection methods and data transfer strategies, ensuring high performance, scalability, data quality, and security.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, engineering, or a related discipline (or equivalent practical experience),
 </li>
 <li>
 Two or more years of professional experience; Microsoft Azure Data Engineer certification is considered an advantage.
 </li>
 <li>
 Strong understanding of secure software development and modern software delivery practices, including continuous integration, continuous delivery, automated testing, automated deployments, and extensive experience using Git for version control
 </li>
 <li>
 Deep expertise with Microsoft Azure data services, including Azure Data Factory, Azure Data Lake Storage, and Azure Databricks, with solid experience applying performance optimization techniques for analytics and reporting workloads.
 </li>
 <li>
 Strong hands-on experience with Apache Spark and PySpark using object-oriented programming, along with strong skills in Python and SQL to design and optimize scalable data pipelines across largescale data architectures that handle big data.
 </li>
 <li>
 Knowledge of Systems, Applications, and Products Business Warehouse extractors, transformations, and data export processes, along with experience working within Agile and Scaled Agile Framework environments.
 </li>
 <li>
 Proven ability to ensure data quality, reliability, and operational efficiency, supporting advanced analytics and machine learning workflows.
 </li>
 <li>
 A foundational understanding of machine learning concepts, feature engineering, and machine learning operations for model deployment and monitoring.
 </li>
 </ul>
 
 
 
 
 ABOUT YOUR NEW TEAM
 
 
 
 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.
 
 
 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.
 
 
 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.
 
 
 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.
 
 
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
 
 
 
 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.
 
 
 
</div>

Data Engineer

<div>
 
 
 Department:
 
 Digital Factory, Digital &amp; Technology Platform Services.
 
 
 
 Location:
 
 Egypt, Cairo.
 
 
 
 
 
 We are looking for a highly skilled and experienced
 
 Senior Data Developer (Azure)
 
 with
 
 significant technical skills in Azure and business acumen
 
 to join our team in Coca-Cola Hellenic Digital &amp; Technology Platform Services (DTPS) and be part of the BI Reporting team. You will have the opportunity to contribute to the strategy, design and development of our Enterprise and Operational Reporting, providing insights and supporting decision making for end users. The role involves significant collaboration with business and IT teams, opportunity to integrate &amp; transform data from various data systems into structures that are suitable for building analytical solutions, design, develop and implement Azure-based solutions connecting certified and validated data sources to Power BI front-end visualizations and creating a single source of truth for reporting in CCH.
 
 
 
 
 
 
 YOUR KEY RESPONSIBILITIES:
 
 
 
 &bull; Assist in the design, development, and maintenance of ETL (Extract, Transform, Load) processes using Azure Data Factory
 
 
 &bull; Implement data ingestion processes from various data sources into Azure data storage solutions.
 
 
 &bull; Work with Azure SQL Database, Azure Data Lake Storage, and Hive &amp; Databricks to store and manage large datasets (Terabytes of data)
 
 
 &bull; Ensure data integrity and availability by implementing appropriate storage solutions
 
 
 &bull; Integrate data from various sources, ensuring accuracy, completeness, and consistency
 
 
 &bull; Collaborate with data scientists and analysts to understand data requirements and provide necessary support
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 
 &bull; Bachelor's or Master&rsquo;s degree in computer science, information technology, data science, or a related field (or an equivalent of 7+ years of practical experience in a tech-domain)
 
 
 &bull; Master&rsquo;s degree in computer science, information technology, data science, or a related field (or an equivalent of 7+ years of practical experience in a tech-domain)
 
 
 &bull; Hands-on experience with MS Power BI, MS PowerApps, MS Azure Data Factory, MS Azure Data Lake Store, SQL Database (T-SQL), DAX &amp; Power Query M (3+ years)
 
 
 &bull; Proven track record of implementing proof-of-concept (POC) backend solutions
 
 
 &bull; Expert knowledge with cloud platforms (Azure, Google Cloud Storage, Amazon), preferably Microsoft Azure &ndash; with a focus on data warehousing &amp; backend development
 
 
 &bull; Strong programming skills in languages such as C#, .NET, Python, Scala or Java
 
 
 &bull; Experience with big data architectures and large data volumes technologies (partitioned tables with billions of records, files with hundreds of GBs)
 
 
 &bull; Familiarity with big data technologies such as Hadoop, Spark, and Hive as well as strong knowledge with data manipulation frameworks such a PySpark
 
 
 &bull; Experience with big data architectures and large data volumes technologies (partitioned tables with billions of records, files with hundreds of GBs) are a plus
 
 
 &bull; First proven leadership capabilities towards junior employees and a proactive approach to project management is a plus
 
 
 &bull; Strong analytical &amp; problem-solving abilities, as well as good communication skills
 
 
 &bull; Strong willingness to learn and adapt to new technologies and tools
 
 
 &bull; Good proficiency in English as a day-to-day business language is a must.
 
 
 
 
 
 
 Preferred qualifications:
 
 
 
 &bull; Strong hands-on understanding of data modelling concepts and techniques as well as DevSecOps concepts and tools and practical experience in their implementation
 
 
 &bull; Strong understanding of DevOps principles and experience with CI/CD pipelines
 
 
 &bull; Working experience within the SAFE Agile framework is appreciated
 
 
 &bull; Knowledge of SAP BW (extractors, transformations, queries, data export) and Azure Data Sources would be appreciated
 
 
 
 
 
 
 ABOUT YOUR NEW TEAM:
 
 
 
 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.
 
 
 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.
 
 
 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.
 
 
 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.
 
 
 
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
 
 
 
 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.
 
</div>

Senior Data Developer (Azure)

<div>
 
 
 
 Company Overview
 
 :
 
 
 
 
 
 
 Dar, the founding member of the Sidara group, is an international multidisciplinary consulting organization specializing in engineering, architecture, planning, environment, project management, facilities management, and economics. Sidara operates in 60 countries with 20,500 professionals, Dar connects people, places, and communities through innovative solutions to the world's most complex challenges. We deliver projects from inception through completion, embracing challenges to empower communities worldwide. Learn more at www.dar.com.
 
 
 
 
 
 
 Our Vision and Values:
 
 
 
 
 
 
 We aspire to be the chosen home of those with a gift for crafting solutions that empower people and an unwavering passion for learning and innovation. Our core values shape our culture and guide our decision-making. We are committed to:
 
 
 
 
 <ul>
 <li>
 Excellence
 </li>
 <li>
 Responsibility
 </li>
 <li>
 Empowerment
 </li>
 <li>
 Connectivity
 </li>
 <li>
 Courage
 </li>
 </ul>
 
 
 
 
 J
 
 
 Job Purpose:
 
 
 
 
 
 
 
 The role of a Data Scientist at Dar will be to extract actionable insights from databases and large, complex datasets to improve design decisions, optimize processes, and enhance project performance. They leverage statistical analysis, machine learning, and predictive modeling and analysis to support data-driven strategies across the project lifecycle.
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 
 <ul>
 <li>
 Collect, clean, and analyze structured and unstructured data from design, construction, and operational sources.
 </li>
 <li>
 Extract features from multi-formats data sources
 </li>
 <li>
 Develop predictive models for project scheduling, cost estimation, risk assessment, and resource optimization.
 </li>
 <li>
 Visualize data and communicate insights through dashboards, reports, and presentations.
 </li>
 <li>
 Collaborate with engineers, architects, and project managers to translate business needs into data-driven solutions.
 </li>
 <li>
 Evaluate and implement advanced analytics techniques such as machine learning, NLP, and time-series forecasting.
 </li>
 <li>
 Ensure data quality, governance, and compliance within AEC data systems.
 </li>
 <li>
 Research and apply emerging data science tools and methods to AEC industry.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Values Alignment
 
 
 
 (Expected behaviors that reflect Dar&rsquo;s values, tailored to the level and responsibilities of the role.)
 
 </li>
 <li>
 Demonstrates analytical thinking, independence in execution, professionalism, transparency, communication, and accountability in delivering quality outcomes while fostering collaboration across teams.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s in Data Science, Statistics, Computer Science, or a related field.
 </li>
 <li>
 Strong proficiency in Python and SQL and experience with data analysis libraries (Pandas, NumPy, Scikit-learn), and data visualization tools (Power BI),
 </li>
 <li>
 Experience using LLMs for multi-format documents processing
 </li>
 <li>
 Experience working with RDBMS (e.g. PostgreSQL, Microsoft SQL Server) and cloud platforms (AWS, Azure, or GCP).
 </li>
 <li>
 Experience working with machine learning algorithms, statistical modeling
 </li>
 <li>
 Experience in data pipeline development is a plus.
 </li>
 <li>
 Excellent analytical thinking, problem-solving, and communication skills.
 </li>
 <li>
 Familiarity with AEC data formats and tools (e.g., BIM) is a plus.
 </li>
 </ul>
 
 
 
 
 
 
 Kind Note
 
 :
 
 
 
 
 
 
 
 * While we carefully review all applications, only candidates meeting the specified requirements will be contacted for further consideration. We appreciate your understanding and thank all applicants for their interest.
 
 
</div>

Data Scientist

Finaira

<div>
 The Data Scientist 2 will independently design, develop, and deploy AI and machine learning models to address complex business challenges within the financial sector. This role requires a strong understanding of data science methodologies, proficiency in relevant tools and technologies, and the ability to translate business needs into effective analytical solutions.
 
 
 The Data Scientist 2 will collaborate with cross-functional teams and communicate findings with increasing independence.
 
 
 
 The difference you will make:
 
 
 
 <ul>
 <li>
 Project contributions, model development &amp; refinement, and mentorship
 </li>
 <li>
 Lead specific modules or components within larger data science projects
 </li>
 <li>
 Develop and optimize existing machine learning models for improved performance
 </li>
 <li>
 Conduct in-depth data analysis and interpretation to identify actionable insights for banking applications
 </li>
 <li>
 Mentor junior data scientists on technical best practices
 </li>
 <li>
 Collaborate with cross-functional teams to integrate models into business processes
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Education:
 
 
 
 Bachelor's degree in Data Science, Economics, Computer Science, Engineering, Statistics, Mathematics, Physics, Operations Research, or a related discipline with excellent academic record.
 
 
 
 Experience:
 
 0-3 years of experience, including internships or academic projects. Experience in the financial services industry is a plus.
 
 
 
 Technical Skills:
 
 o Basic proficiency in one or more programming languages (e.g., Java, Python, JavaScript).
 
 
 Basic knowledge of software development frameworks (e.g., Spring, Django, React).
 
 
 Basic experience with databases (SQL).
 
 
 Understanding basic software design principles.
 
 
 Familiarity with version control systems (e.g., Git).
 
 
 Basic familiarity with cloud computing platforms (AWS, Azure, GCP) is a plus.
 
 
 <li>
 
 
 </li>
 
 Soft Skills:
 
 
 
 Developing problem-solving and analytical skills.
 
 
 Ability to work independently and as part of a team.
 
 
 Developing communication and collaboration skills.
 
 
 Attention to detail and a willingness to learn.
 
 
 Customer-centric approach to understanding needs.
 
 
 Team player.
 
 
 Developing a disciplined work ethic.
 
 
 Good command of English language, both verbal and written.
 
 
 Self-learner with a positive attitude
</div>

Data Scientist II

QuantumBlack, AI by McKinsey

<div>
 
 Who You'll Work With
 
 
 
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
 
 
 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
 
 
 When you join us, you will have:
 
 
 <ul>
 <li>
 Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
 </li>
 <li>
 A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
 </li>
 <li>
 Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
 </li>
 <li>
 World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
 
 
 </li>
 </ul>
 
 Your Impact
 
 
 
 As a Data Scientist Intern, you will be part of interdisciplinary teams during an end-of-year internship of 12 weeks, developing analytics solutions that help solve clients&rsquo; most pressing business challenges.
 
 
 Working closely with experienced Data Scientists, Data Engineers, and Machine Learning Engineers, you will support project teams by conducting exploratory data analyses, building and validating simple models, implementing LLM use cases, helping clients to adopt GenAI, and developing RAG systems and visualizations that help uncover insights from complex datasets.
 
 
 You&rsquo;ll gain hands-on experience applying analytical thinking to real-world business contexts, learning how data-driven insights can transform organizations. Through mentorship and structured feedback, you will deepen your understanding of how to translate business problems into technical tasks, and how analytical solutions create measurable client impact.
 
 
 You&rsquo;ll also contribute to the team&rsquo;s internal knowledge base and tool development, learning how McKinsey and QuantumBlack approach data science at scale.
 
 
 
 Your Qualifications and Skills
 
 
 
 <ul>
 <li>
 Recent graduates or final-year students from data science, mathematics, statistics, physics or engineering disciplines with expertise in computer science, data, machine learning, or artificial intelligence
 </li>
 <li>
 Availability for a full-time internship of 12 weeks
 </li>
 <li>
 Strong interest in applying machine learning and statistical analysis to solve real-world problems
 </li>
 <li>
 Foundational experience in Python (preferred) or R for data analysis and model prototyping
 </li>
 <li>
 Experience through coursework or projects in building Retrieval-Augmented Generation (RAG) systems or implementing Large Language Model (LLM) use cases is a strong plus
 </li>
 <li>
 Basic understanding of data wrangling, visualization, and exploratory analysis
 </li>
 <li>
 Familiarity with libraries such as pandas, NumPy, scikit-learn, or equivalent
 </li>
 <li>
 Good analytical and problem-solving skills; ability to structure tasks and manage time effectively
 </li>
 </ul>
</div>

Data Scientist Intern - QuantumBlack, AI by McKinsey

mylo

<div>
 
 mylo
 
 is a fintech platform dedicated to helping millions of people and businesses thrive by providing accessible and responsible financial solutions. Whether you're purchasing a mobile phone, a new jacket, a flight ticket, a comfy couch, or even covering school tuition, mylo enables you to buy now and pay later at thousands of points of sale across Egypt. Born out of B.TECH&mdash;Egypt's leading electronics and appliances retailer with over 27 years of experience in offering buy now, pay later solutions&mdash;mylo brings a legacy of trust and innovation to the fintech space. All mylo products are fully Sharia-compliant, ensuring ethical and inclusive financial practices.
 
 
 The Role We are looking for a Staff Data Scientist to lead the technical strategy for our decisioning engines. You will operate at the intersection of Data Science and Software Engineering, designing high-scale systems that power multiple business lines&mdash;from Growth &amp; Pricing to Underwriting &amp; Collections. You will move beyond simple model building to architecting robust, reproducible MLOps pipelines that serve real-time financial decisions.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Multi-Domain Technical Strategy: Lead the development of ML solutions across diverse contexts, ensuring that models for Credit Risk, Pricing Elasticity, and Collection Optimization utilize shared infrastructure efficiently
 </li>
 <li>
 MLOps Architecture: Champion the adoption of modern Model Serving frameworks and Feature Stores. Design workflows that ensure feature consistency between training and real-time inference
 </li>
 <li>
 Engineering Standards: Establish rigorous standards for Data Versioning, experiment tracking, and Hyperparameter Optimization, ensuring all research is reproducible and production-ready
 </li>
 <li>
 Production Deployment: Oversee the transition of models from notebook environments to low-latency production APIs. Ensure models are wrapped, containerized, and integrated seamlessly with backend services
 </li>
 <li>
 Mentorship: Guide the team in best practices for Python software engineering, including testing strategies, code structure, and performance optimization
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Experience: 7+ years in Data Science with a strong emphasis on production engineering. Experience in Fintech, Lending, or Risk is highly preferred
 </li>
 <li>
 ML Proficiency: Deep understanding of both classical machine learning (Gradient Boosting, Statistical Models) and Deep Learning frameworks
 </li>
 <li>
 Production Engineering: Proven track record of deploying models in real-time environments. Familiarity with the concepts of Feature Stores and Model Registries is essential
 </li>
 <li>
 Technical Stack: Expert-level Python skills. Strong proficiency in SQL and relational database design
 </li>
 <li>
 Strategic Thinking: Ability to translate complex business KPIs (e.g., reducing Non-Performing Loans) into technical ML roadmaps
 </li>
 </ul>
</div>

Staff Data Scientist

Huawei

<div>
 
 
 Job Responsibilities:
 
 
 
 
 
 
 -Execution and Oversee Technical Engineer for the installation of Electrical and Electromechanical systems (Electrical Networks, MVSG, RMU, Transformers, Cables, Electrical Panels, UPS, Rectifiers &amp; Batteries, Firefighting, Air Conditioning, Ventilation systems, Plumbing Network)
 
 
 -Technical Engineer has basic capabilities for reviewing shop-drawing and design for Electrical and Electromechanical systems (Electrical Networks, MVSG, RMU, Transformers, Cables, Electrical Panels, UPS, Rectifiers &amp; Batteries)
 
 
 -Technical Engineer has capabilities for initiating the BOQ for Electrical and Electromechanical systems (Electrical Networks, MVSG, RMU, Transformers, Cables, Electrical Panels, UPS, Rectifiers &amp; Batteries)
 
 
 -Technical Engineer has good background about the Mechanical equipment (Air conditions, Fans, pumps, pipes...)
 
 
 -Work closely with project teams to ensure efficient and successful project execution
 
 
 -Partner with project managers to develop detailed plans and work breakdown structures for large-scale projects
 
 
 -Prepare and initiate technical proposals &amp; statements of the scope of works
 
 
 -Working for establish data center projects
 
 
 
 
 
 Technical Requirement:
 
 
 
 
 
 
 -Bachelor&rsquo;s degree in Engineering preferably in Electrical Engineer (Power &amp; Machine department) with a minimum grade of "Good"
 
 
 -Excellent in English is a must, both written and spoken
 
 
 -A minimum of 2-6 years of hands-on experience with Electrical systems design and installation for Electrical and Electromechanical systems (Electrical Networks, MVSG, RMU, Transformers, Cables, Electrical Panels, UPS, Rectifiers &amp; Batteries, Firefighting, Air Conditioning, Ventilation systems, Plumbing Network)
 
 
 -Strong knowledge of server and storage technologies and networking protocols
 
 
 It is preferred to be familiar data center design and execution .
 
 
 
 
 
 Technical Management:
 
 
 
 
 
 
 -Define Technical risks on time and make sure Project TD ,SD Are fully aligned with all project stockholders to can integrate project scope.
 
 
 -Full Align with PD/TD for project Plan technical requirements Priorities ,Subcontractor Team arrangement
 
 
 
 
 
 Team management:
 
 
 
 
 
 
 -Manage SE/SD Team Technical Capability By Enhancement for team Capability through Workshops ,Training for new solutions, New Technologies
 
 
 -Arrange work load for each Staff to get max Efficiency .
 
 
 
 
 
 Plan Management:
 
 
 
 
 
 
 -Find technical solution On site to serve Project Plan ,By set some optimized Technical solutions ,Process ..
 
 
 -Align with all Technical project team to be clear about sites Objectives and agree with them and way and methods to achieve Work on site and project Master Plan
 
</div>

Electrical Engineer work (MEP TL)

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