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Line of Service Advisory Industry/Sector Not Applicable Specialism Advisory - Other Management Level Associate Job Description & Summary We are seeking to recruit AWS Cloud Engineer to join our team in Cairo. PwC is looking for passionate AWS Cognitive Customer Experience Engineers to join our Cloud practice. You will help drive innovation, build differentiated solutions, and define new customer experiences for our customers. You’ll work with smart people across our industry specialist organizations, and technology groups to help our customers get the most out of AWS in their cloud journey. You will be part of a team that reports to the Cloud Service Delivery Director and will be an integral part of the team based in Cairo, as well as those delivering client transformation programs across the PwC Global Network, including the UK, the Netherlands and Germany. As a Cloud Engineer, you will play a key role in the following areas: Design and Implement solutions focused on customer experience and customer engagement Lead customer discovery and design sessions Work with a global mindset with teams based in the UK. Work with PwC’s global network to bring best practices and assets to the local market Participate in design activities with client and lead design and process discussions Interact with management levels at a client and/or within PwC/AWS Delivering exceptional client service and solutions Ability to provide estimation of effort for technical developments Ability to manage stream deliverables Responsible for issue resolution post go-live and transition to support Required Skills : A service designer with a good development skills and the ability to learn quickly Experience in AWS core services (compute, storage, databases, analytics, networking and security) Experience with at least 2 AWS services (Amazon Connect, Lex, Polly, Lambda) Proven record of using customer experience and engagement tools, preferably within the AWS and Amazon ecosystem. eg. Amazon Connect You’ll have hands-on AWS implementation experience across a broad range of AWS services, with deeper capabilities and interests in specific services. Scripting capability and the ability to develop AWS environments as code Excellent knowledge of programming languages such as Python/Node.js A mindset of automating everything, with experience demonstrating this Knowledge in legacy contact centers and IVRs, with associated business tooling Not limited to but Good to have : Certified in AWS cloud (AWS Cloud Practitioner | AWS Cloud SAA) Essential skills & attributes: Excellent oral and written communication skills as well as basic presentation skills Ability to work within a fast-paced & unstructured environment. Excellent time management, communication and organizational skills Ability to interact efficiently and collaborate with team members Education: Bachelors education in a Computer Science/ IT / Communications Engineering Desired Languages: Fluent (English) - Speaking and Writing What we offer: Flexible working arrangements (Flex-work, Home Office) Refer-a-Friend – get a bonus in the employee referral program Wide range of leading-edge trainings (including language courses) Family Medical Insurance Yearly Bonus At PwC, The skills we look for in future employees. All our people need to demonstrate the skills and behaviors that support us in delivering our business strategy. This is important to the work we do for our business, and our clients. These skills and behaviors make up our global leadership framework, ‘The PwC Professional’. The PwC Professional focuses on five core attributes; whole leadership, business acumen, technical and digital, global and inclusive, and relationships. We use this framework to recruit, develop and assess our people, at all grades and all areas of our business, because we expect all of our people to be leaders. Whole leadership : The ability to lead yourself and others to make a difference and create a positive impact in a responsible, authentic, resilient, inclusive and passionate manner. Global acumen: The ability to operate and collaborate effectively with a mindset that transcends boundaries and embraces diverse perspectives. Technical and Digital : Focus on fast growing technologies and how to make use of them towards digital transformation. Business acumen: The ability to bring business knowledge, innovation and insight to create distinctive value for clients and PwC. Relationships: The ability to build relationships of high value which are genuine and meaningful. Required Skills Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Amazon Web Services (AWS), Apptio, Cloud Administration, Cloud-Based Service Management, Cloud Compliance, Cloud Engineering, Cloud Infrastructure, Cloud Infrastructure Architecture Design, Cloud Infrastructure Optimization, Cloud Migration, Cloud Operations (CloudOps), Cloud Performance Optimization, Cloud Service Delivery, Cloud Strategy, Communication, CrowdStrike, Dynatrace APM, Emotional Regulation, Empathy, FinOps Operating Model, Google Cloud Platform, Inclusion {+ 13 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

At VAES.ai, we’re building more than just a company—we’re shaping the future of technology, research, and sustainable solutions. We’re looking for a passionate .Net Developer to join our growing team. Apply here What’s it like to work with us? ✨ Top Talent, Multidisciplinary Teams: Collaborate with designers, researchers, software engineers, and structural experts across borders. 🔧 We Build What We Need: From our performance evaluation system to internal tools—we don’t rely on external software. We design what works for us. 🌱 Sustainability Is in Our DNA: This isn’t a slogan. VAES was founded with the environment in mind—from how we build to why we exist. 🛡️ Stability with Heart: We prioritize long-term growth and people-first decisions. We support our team through every phase of their journey—including when they explore new paths beyond our walls. 📣 Open Channels, Real Leaders: Leadership is accessible and involved. We don’t do the fake open-door thing. Responsibilities Collaborate with team members to implement best coding practices, including unit testing and code optimization Support the core engineering team in designing and developing tools to enhance building element efficiency Work closely with stakeholders to gather requirements and refine software features Ensure the delivery of scalable, high-performance software solutions Contribute to a cross-functional team throughout the entire software development life cycle, from initial concept through to deployment Foster a collaborative team environment, bringing a strong sense of visual design and user utility to the development process Requirements Minimum of 5 years of programming with 2 years of experience with .NET (Core, Runtime) framework. Desktop Application Bachelor's degree in computer science, Software Engineering, or related field Proven ability to design, build, and maintain scalable software systems Strong understanding of software architecture, system design, and aligning solutions with business goals Proficient in C#; experience with Python is a plus. Able to write optimized and maintainable code Experience with MVVM (Model-View-View-Model) pattern and WPF (Windows Presentation Foundation) Solid knowledge of data structures, algorithms, and system optimization Experience with API integration Analytical mindset with problem-solving and data-driven decision-making skills Strong attention to code quality, performance, and reliability Nice to Have Experience with Python alongside C# Experience with RESTful API design and integration Exposure to Geometry tools or concepts Familiarity with mathematics or data-driven applications Startup or agile development experience Interest or experience in engineering or architecture-related applications Show more

Line of Service Advisory Industry/Sector Technology Specialism Advisory - Other Management Level Associate Job Description & Summary At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences. 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 Acceptance Test Driven Development (ATDD), Acceptance Test Driven Development (ATDD), Accepting Feedback, Active Listening, API Management, Application Development, Application Frameworks, Application Lifecycle Management, Application Software, Business Process Improvement, Business Process Management (BPM), Business Requirements Analysis, C++ Programming Language, Client Management, Code Review, Coding Standards, Communication, Computer Engineering, Computer Science, Continuous Integration/Continuous Delivery (CI/CD), Debugging, Emotional Regulation, Empathy, Engineering Software, Enterprise Application Integration {+ 25 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

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