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Job Category: Construction Career Level: Senior Years of Experience: 5 - 7 Yrs Education Level: Bachelor's Degree Ordinarily Location: Site/Office Job Type: Full Time Job Location: 10th of Ramadan Job Description Previous Experience in Sectors 1 – Concrete (MP4 Mercedes) 2 – generators 3- Heavy Equipment 4- pumps Follows up with the technicians the workflow which achieves balance and fairness within the group Performing the general maintenance for Deisel equipment. Conducting repairs and diagnostic. Troubleshooting the faults. Conducting test drives and other routine checks. Preparing and maintaining the diagnostic report for future use. Supervising the diesel generator installation, commissioning start up. Maintaining the inventory level of the components and restocking them when required. Supervising the diesel generator repair offers and maintenance agreements. Supervising the diesel generator major activities and the subcontractors. Adhering to all the rules and regulations of the safety and inspection procedures. Working in collaboration with the repair team and other fellow team members. Job Requirements Bachelor of Mechanical Engineering. Working experience in a similar position. Excellent problem-solving skills. Great interpersonal and troubleshooting skills. Exceptional oral and written communication skills. Ability to work in a team or individually as and when required. Apply for this position Full Name * Email * Phone * Cover Letter * Upload CV/Resume * Drop files here or click to uploadMaximum allowed file size is 15 MB. Allowed Type(s): .pdf, .doc, .docx By using this form you agree with the storage and handling of your data by this website. * Show more

Main Responsibilities Collaborate with cross-functional teams to analyze project requirements, design system architecture, and develop robust applications Write, update, and maintain software packages/code to handle specific jobs based on requirement document Conduct code reviews, identify areas for improvement, and implement best practices to maintain code quality, readability, and maintainability Implement security measures and protocols within .Net applications, including authentication, authorization, and data encryption Utilize your strong knowledge of development tools to design and implement scalable and modular applications Own medium to big size module(s) in project(s) and develop it with the minimal supervision from the project lead Train system users in system operation or maintenance Consult with technical leads to clarify program intent, identify problems, and suggest changes Support junior developers’ work Job Qualifications Education: Bachelor’s degree in computer science or equivalent field Professional Experience Experience: 3-5 years Technical Skills C#, ASP NET, WCF, SQL Server Development, Entity Framework, Windows Services, JavaScript, JQuery, HTML, CSS, Bootstrap, MS Reporting Services, .Net Core, Angular JS, Angular CQRS or NTier &Onion architectures are plus Experience with debugging, performance profiling and optimization Interpersonal Skills Communication and presentations Business Writing Detail-oriented and able to prioritize Analytical skills Troubleshooting and problem-solving Apply Now Show more

Line of Service Industry/Sector Specialism Management Level Associate Job Description & Summary The Data Engineering Associate helps evaluate requirements, assist in design discussions and sprint planning for the construction of data pipelines, Extraction, and Transformation logic. They will be competent in Python Programming, SOLID, and DRY Design principles. The SA Data Engineer will leverage their skills in relational databases, cloud storage, and data wrangling to support business decisions and insights. The role requires a strong foundation in data management practices and the ability to mentor junior engineers. Job Description Key Responsibilities: Build, and maintain scalable data pipelines and architectures to process large volumes of data efficiently. Implement and manage relational databases and relational database management systems (RDBMS) using Python, SQL and other languages. Engage in data wrangling and cleaning processes to ensure data quality and consistency. Conduct code reviews and adhere to coding standards to maintain the quality and integrity of data engineering solutions. Collaborate with cross-functional teams to identify data requirements and implement appropriate data solutions. Mentor junior engineers and provide guidance on best practices in data engineering. Required Skills & Experience: 2 years experience. SOLID and DRY Programming principles - The ability to plan, execute, and evaluate code for compliance with industry best practices Python Programing - The ability to write efficient, executable code for the creation of Data Pipelines Restful APIs - The ability to integrate API calls into dat streams Azure Databricks or similar product (Microsoft Fabric, etc.) - Create Jupyter Notebooks using Python Libraries, create and manage workflows and pipeline Set Theory - foundational principles for handling data organization, relationships, and operations within large data sets. This knowledge allows them to efficiently manipulate, query, and integrate data, ensuring accurate and scalable solutions for complex data engineering tasks. Required Skills Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline, Data Preprocessing, Data Quality {+ 33 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date Show more

Line of Service Advisory Industry/Sector Technology Specialism Advisory - Other Management Level Senior Associate Job Description & Summary As a Machine Learning Engineer you will use techniques such as machine learning and natural language processing to realise authentic, data-driven change and solutions.The team reports to the board and commercial executive and works with clients and PwC leadership across our business units to enhance performance and have impact on value creation. Responsibilities Designing and developing data science and machine learning assets for PwC and its clients Contributing effective, useful code to our Data Science codebase Participating in constant learning through training and skills development Deploying and managing machine learning models in production environments, ensuring scalability, reliability and performance monitoring Embedding Responsible AI practices across the model lifecycle, ensuring fairness, transparency, explainability, bias mitigation and compliance with ethical and regulatory standards Contributing to the strategy and growth of a fast developing data science capability Craft and communicate compelling business “stories” based on analytics insight Business case and Proposal development Presenting findings to senior internal and external stakeholders Being part of this technology innovation effort of the Firm Key Skills Required 4+ Years Experience Statistical Analysis & Machine Learning Theory – Excellent understanding of statistics, machine learning techniques and algorithms. Hands-on experience with regression, classification, clustering and other classical statistical models and algorithms – Must have – Advanced Independently formulate hypotheses, choose and justify appropriate statistical tests and interpret results Select, implement and tune ML algorithms (e.g. random forests, SVMs, gradient boosting) end-to-end, and explain the mathematical foundations and assumptions behind them Hands-on experience designing and validating models for regression, classification and unsupervised learning tasks Deep understanding of bias–variance tradeoff, regularization techniques, and feature selection methods Machine Learning Lifecycle Management – Experience delivering end-to-end solutions from data sourcing and preprocessing through model deployment and results interpretation – Must have – Advanced Architect and execute full pipelines—from data ingestion and feature engineering through model training, validation, deployment, monitoring and retraining, using best practices in reproducibility and CI/CD Troubleshoot production issues (drift, latency, scaling) and optimise models for performance and cost Agile Methodologies – Ability to work effectively in an agile delivery environment, participating in sprint planning, stand-ups and retrospectives – Must have – Intermediate Participate effectively in sprint planning, daily stand-ups and retrospectives Break work into user stories, estimate tasks and collaborate with product owners to groom the backlog Requirements Gathering & Translation – Skill in partnering with product owners to translate business needs into data science requirements and success metrics – Must have – Advanced Lead interactions with stakeholders to outline clear business objectives and translate them into measurable data science success metrics. Draft technical specifications and align on KPIs, risk factors and roadmap milestones Data Science Project Execution – Demonstrable track record of completing data science projects (professional, academic or personal) with a clear business focus – Must have – Advanced Own multiple data science projects from proof-of-concept through delivery, ensuring alignment with business value and timelines Document methodologies, maintain reproducible codebases and present actionable insights to senior leadership Python Programming – Strong programming skills in Python, including libraries like pandas, NumPy, scikit-learn and others for data manipulation and modeling – Must have – Advanced Write clean, modular, well-tested Python code Build custom utilities or packages, optimize critical code paths (vectorization, parallelism) and manage dependencies SQL Querying & Data Manipulation – Practical knowledge of SQL for extracting, transforming and loading data from relational databases – Must have – Intermediate Extract and join complex datasets from relational databases, write performant queries (window functions, CTEs) and perform ETL tasks Version Control & Git – Proficiency with Git for source code management, branching strategies, merging, and collaborative workflows – Must have – Intermediate Use feature branching, pull requests and code reviews in a team setting Data Science Communication – Ability to articulate complex data science concepts and results clearly to both technical and non-technical stakeholders – Must have – Intermediate Craft clear, concise narratives around model design, performance and business impact for both technical and non-technical audiences Design and deliver visuals (e.g. dashboards, slide decks, annotated charts) that guide stakeholders through your methodology, results and recommended actions Team Collaboration & Knowledge Sharing – Enjoy working in cross-functional teams and learning from peers, contributing to collective problem-solving – Must have – Intermediate Mentor junior engineers and foster a culture of continuous learning Contribute to peer code reviews, internal tech talks or knowledge sharing sessions Nice to have Deep Learning Frameworks – Proficiency with frameworks such as TensorFlow, PyTorch, Keras, Theano or CNTK for building and training neural networks – Intermediate Cloud Computing Platforms – Experience working in cloud environments (Azure, GCP or AWS), including managing resources, pipelines and scalable deployments – Intermediate Privacy Enhancing Techniques (PETs) – Some experience with homomorphic encryption, federated learning, differential privacy etc. – Intermediate Relevant experience areas Machine Learning, Generative AI, MLOps & CI/CD, Cloud Native ML Services, Required Skills Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning {+ 26 more} Desired Languages (If blank, desired languages not specified) Travel Requirements 0% Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date Show more

Line of Service Advisory Industry/Sector Technology Specialism Advisory - Other Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Required Skills Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Transformation, Data Validation {+ 19 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date Show more

Line of Service Advisory Industry/Sector Technology Specialism Advisory - Other Management Level Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. Required Skills Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Artificial Intelligence, Big Data, C++ Programming Language, Communication, Complex Data Analysis, Data-Driven Decision Making (DIDM), Data Engineering, Data Lake, Data Mining, Data Modeling, Data Pipeline, Data Quality, Data Science, Data Science Algorithms, Data Science Troubleshooting, Data Science Workflows, Deep Learning, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Machine Learning {+ 12 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? Yes Government Clearance Required? No Job Posting End Date Show more