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Location: Cairo, Egypt Reporting To Senior Digital Marketing Manager Digital Marketing Strategy & Execution Develop and execute digital marketing campaigns across various channels. Manage SEO, SEM, and PPC strategies to drive traffic and conversions. Plan and implement digital content calendars, ensuring consistent messaging. Content Creation & Collaboration Collaborate with the content team to create engaging and relevant content. Optimize website content for search engines to improve visibility. Manage email marketing campaigns to nurture leads and drive engagement. Analytics & Performance Monitoring Track and analyze key digital marketing metrics (traffic, conversions, etc.). Generate detailed reports to evaluate campaign success and inform future strategies. Stay updated on digital marketing trends and best practices to enhance performance. Strong expertise in Google Tag Manager – setting up and managing tags for tracking and analytics. Proven experience in Google Analytics – analyzing user behavior, setting up conversion tracking, and optimizing website performance. Paid Campaigns & Advertising Develop and manage PPC campaigns, optimizing budgets for maximum ROI. Utilize platforms like Google Ads, Facebook Ads, and LinkedIn Ads for targeted campaigns. Monitor ad performance and make data-driven decisions for improvement. Practical expertise in Google Ads – creating, managing, and optimizing search, display, and video campaigns. Experience with conversion campaigns – setting up tracking, optimizing performance, and improving lead generation and ROI. Hands-on experience with Snapchat Ads – setting up, optimizing, and scaling campaigns for brand awareness and performance. Collaboration & Process Improvement Work closely with internal teams (content, design, analytics) to ensure seamless campaign execution. Proactively suggest new content formats, engagement tactics, and platform opportunities. Key Qualifications 4+ years of experience in digital marketing. Strong understanding of digital marketing tools and techniques. Excellent analytical and problem-solving skills. Proficiency in SEO, SEM, and PPC. Ability to work independently and as part of a team. Experience with marketing automation tools (e.g., HubSpot, Marketo). Strong understanding of web analytics tools (e.g., Google Analytics). Show more

Line of Service Advisory Industry/Sector Technology Specialism Advisory - Other Management Level Senior Associate Job Description & Summary At PwC, our people in people operations primarily focus on managing the people lifecycle and the day-to-day operational tasks related to managing employees. This includes activities such as employee onboarding, offboarding, payroll and benefits administration, absence management, employee record-keeping, compliance with labour laws and regulations, and managing employee inquiries and issues. These individuals enable HR processes and systems to run smoothly in order to efficiently support our workforce. Those in human resource operations at PwC will focus on all areas of Human Resources and the business in executing Human Resources related transactions and administrative activities. You will be a primary HR point of contact in the resolution, escalation or routing of inquiries as needed in line with HR protocols and guidelines, as well as be part of a team of problem solvers that help solve complex business issues from strategy to execution. About PwC ETIC - Egypt Technology and Innovation Centre PwC opened a new Technology & Innovation Center in Cairo that delivers high quality technology solutions to consulting Clients across the globe. The Centre provides a broad suite of skills and services to our clients, ranging from Packaged Applications such as SAP & Oracle, to Cybersecurity, Data Analytics, Custom Development and Cloud services utilising AWS, Azure and Google, as well as expanding our existing Managed Services capabilities. The centre is looking to expand rapidly and we are looking for enthusiastic self-starters with a passion for technology and client delivery to help shape and form this new venture. Job Summary: What does this role aim to achieve in the firm/what impact does the role create The Managed Services - HR Operations Senior Associate/Associate is responsible for providing HR support to clients, ensuring efficient HR operations. They manage employee data, handle HR-related queries, and assist in the implementation of HR policies and procedures. Additionally, they collaborate with various teams to streamline HR processes and enhance overall employee experience. Roles and Responsibilities: Daily tasks and delivery expectation As a Managed Services HR Operations Senior Associate/Associate, you will contribute to delivering some or all of these activities for clients of PwC: Support the transition of related HR processes from the Client to the PwC team e.g. Coordinate and support any transition tasks Upskill on any required process workflows and technologies Manage Employee Data & Documentation e.g. Maintain accurate and up-to-date employee records in HR systems, ensuring data integrity and confidentiality Organize relevant documents (contracts, performance reviews, etc.) Archive records for compliance and reference Create and use organised digital systems to store and manage files using clear naming rules Receive, review and maintain employee files incl. sending requests to employees with outdated documents Obtain necessary approvals (e.g., HR manager, legal team) and inform relevant stakeholders when needed Provide HR Helpdesk/ Support Services Address queries related to policies, benefits, payroll, and other HR functions as required Support employee on/offboarding & lifecycle management e.g. Facilitate onboarding and offboarding processes, including document collection, background checks, and exit formalities Support internal mobility and promotion processes Conduct exit interviews to gather feedback Send feedback to related parties Support grievances & escalations Maintain detailed records of grievances, investigations, and resolutions and support consistent application of disciplinary actions or corrective measures. Support investigations into workplace issues, including misconduct and policy violations etc. and ensure findings are documented accurately.. Support Compliance and Reporting Ensure compliance with legal/ regulatory requirements and HC policies Support in preparing required HR related reports to meet any regulatory requirements Support the implementation and communication of HR policies and procedures, ensuring employees and clients are well-informed and compliant Support Leave Management Maintain accurate records of employee leave balances and usage in the HRIS or leave management system Monitor leave accruals, carryovers, and expirations to ensure compliance with company policies Provide reports on leave trends, balances, and usage to management Ensure that paid and unpaid leaves are accurately reflected in payroll calculations Act as a point of contact for employee queries related to leave policies and balances Offer support for employees navigating complex leave situations, such as medical or family emergencies Demonstrate strong use of time management/ organisational skills & tools: Create and prioritise to-do list and allocate time for essential tasks and record activities into tracking tool to organize tasks and track progress Identify high-value tasks that directly contribute to HC goals Communicate to-do list activities to related parties and manager Adhere to agreed Service Level Agreements (SLAs) Collaborate effectively in a team environment Work closely with internal teams, including payroll, benefits, and talent acquisition, to ensure seamless HR service delivery and enhance overall employee experience Execute tasks as directed by HR Supervisor Communicate effectively with clients to ensure clarity and understanding Support Process Improvement Develop and implement ideas to support clients and drive continuous improvement initiatives particularly related to HR processes and workflows Assist in the implementation of best practices and new technologies Expected Skills: Specific learned abilities or technical skills Knowledge & experience in the HRMS system (e.g. SAP/ SuccessFactors, Workday, Oracle) Strong HR Knowledge: Proficient in HR policies, procedures, and compliance requirements, with a solid understanding of employee data management Communication Skills: Excellent verbal and written communication skills to effectively address employee queries and collaborate with clients and internal teams Attention to Detail: High level of accuracy and attention to detail in managing employee records and ensuring compliance with regulatory standards Problem-Solving Skills: Capable of identifying issues and implementing effective solutions to streamline HR processes and resolve employee concerns Expected Competencies: Values, behaviors & attitude Communicates with impact Results driven Drives organizational excellence Required Language Skills: Proficient in written and spoken English and Arabic Minimum Education and Specific Qualification: Bachelor’s degree in a HR related field, business management / administration or equivalent HR related Certifications in relevant fields would be advantageous Years of Experience: For an Associate, 1-3 years of professional experience and for a Senior Associate 4-6 years experience. Ideally having worked with a diverse portfolio of people, process and technology with a leading firm, preferably in the Middle East or GCC region Required Skills Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Communication, Confidential Information Handling, Conflict Resolution, Coordinating Staff, Creativity, Data Quality, Documentation Administration, Embracing Change, Emotional Regulation, Empathy, Employee Data Management, Employee Engagement Strategies, Employee Life Cycle, Employee Relations, Employee Terminations, HR Software, Human Resources (HR) Metrics, Human Resources (HR) Policies, Human Resources (HR) Service Delivery, Human Resources (HR) Shared Services, Human Resources Assistance {+ 11 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 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

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

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 Manager Job Description & Summary At PwC, our people in cybersecurity focus on protecting organisations from cyber threats through advanced technologies and strategies. They work to identify vulnerabilities, develop secure systems, and provide proactive solutions to safeguard sensitive data. As a cybersecurity generalist at PwC, you will focus on providing comprehensive security solutions and experience across various domains, maintaining the protection of client systems and data. You will apply a broad understanding of cybersecurity principles and practices to address diverse security challenges effectively. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. 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 Methodology, Analytical Thinking, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Cybersecurity, Cybersecurity Framework, Cybersecurity Policy, Cybersecurity Requirements, Cybersecurity Strategy, Embracing Change, Emotional Regulation, Empathy, Encryption Technologies, Inclusion, Intellectual Curiosity, Learning Agility, Managed Services, Optimism, Privacy Compliance, Professional Courage {+ 13 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