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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

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 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 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. In technology delivery at PwC, you will focus on implementing and delivering innovative technology solutions to clients, enabling seamless integration and efficient project execution. You will manage the end-to-end delivery process and collaborate with cross-functional teams to drive successful technology implementations. We are looking for a skilled Fullstack Software Developer with expertise in Node.js to join our team. The ideal candidate will be responsible for developing, maintaining, and enhancing web applications, working across both frontend and backend technologies. You will collaborate with designers, developers, and stakeholders to create high-performance, scalable, and user-friendly solutions. Key Responsibilities: Develop and maintain web applications using Node.js for backend services. Design and implement efficient APIs and integrate third-party services. Work with frontend technologies (React, Angular, or Vue.js) to build intuitive user interfaces. Optimize application performance and ensure security best practices. Collaborate with cross-functional teams to define and implement new features. Write clean, maintainable, and well-documented code. Conduct code reviews, troubleshoot bugs, and improve development workflows. Stay updated with industry trends and emerging technologies. Required Qualifications: Proficiency in Node.js and backend frameworks like Express.js or NestJS. Strong experience with frontend technologies such as React, Angular, or Vue.js. Solid understanding of JavaScript, TypeScript, and asynchronous programming. Experience working with databases (SQL or NoSQL, such as PostgreSQL, MongoDB). Knowledge of RESTful APIs and microservices architecture. Familiarity with Docker, Kubernetes, or CI/CD pipelines. Strong problem-solving skills and ability to work in an agile environment. Preferred Qualifications: Experience with cloud services (AWS, Azure, or GCP). Required Skills Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Client Management, Communication, Creativity, Deliverable Planning, Delivery Management, Developing User Stories, Embracing Change, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, IT Business Strategy, IT Consulting, IT Infrastructure, IT Service Management (ITSM), IT Systems Development, Leading Design Workshops, Learning Agility, Market Research, Optimism, Process Improvement {+ 22 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Up to 20% Available for Work Visa Sponsorship? No Government Clearance Required? Yes Job Posting End Date Show more

Job Description Hill International is looking for strong professionals with experience in rail or metro construction project for our projects based in North Africa region. Responsibilities Planning and execution of complex design build projects with expertise working for contractors and clients. Developing construction methodologies, plans, policies, procedures for budgets, schedules, operations, document control and managing these to handover. Coordinating and managing design, driving design innovation and value-engineering to redu c e costs and improve buildability. Expertise in interdisciplinary coordination and integration of railway systems, Scada, Signaling, Telecommunication, Energy, Trackwork and D e pot Equipment with civil, architectural and MEP works. Qualifications The Candidate should hold a MSc degree and to be able to demonstrate minimum 15 years general experience focused on transport sector. Previous experience in Metro and Rail project in similar role is a must. Candidate should be highly familiarized with Civil and Railway systems About Us Hill International, with more than 4,400+ professionals in over 100 offices worldwide, provides program management, project management, construction management, project management oversight, advisory, facilities management, and other consulting services to clients in a variety of market sectors. Engineering News-Record magazine recently ranked Hill as one of the largest program management firms in the world. For more information on Hill, please visit our website at www.hillintl.com . Hill is exclusively a program, project, and construction management provider, meaning we have one focus as a company: protecting client interests. Free of any potential conflicts, our entire business is geared towards helping clients achieve their desired outcomes. We are dedicated to exceeding expectations throughout the entire construction project lifecycle and adapt to the needs of each assignment to develop tailored approaches and solutions to meet those needs. Hill is a GISI Consulting Group company, part of the Global Infrastructure Solutions, Inc. (GISI) family of companies. Learn more about GISI Consulting Group at www.gisiconsulting.com . Hill International is an Equal Opportunity Employer/Veteran/Disabled Note: This job description is intended to provide an indication of the nature and levels of work, knowledge, skills, abilities and other essential functions to be carried out as part of fulfilling the role mentioned in the job title. Various other duties as required. Show more

Line of Service Internal Firm Services Industry/Sector Technology Specialism IFS - Internal Firm Services - Other Management Level Senior Associate Job Description & Summary A career in Administration and Secretarial Services, within Internal Firm Services, will give you with the opportunity to provide administrative support to PwC employees. You’ll focus on using business software applications to prepare reports, receiving and directing incoming calls or emails to the appropriate parties, arranging business travel, tracking expenses, and coordinating meeting arrangements. Simply put, you’ll work closely with dedicated PwC staff to provide administrative support. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Develop new skills outside of comfort zone. Act to resolve issues which prevent the team working effectively. Coach others, recognise their strengths, and encourage them to take ownership of their personal development. Analyse complex ideas or proposals and build a range of meaningful recommendations. Use multiple sources of information including broader stakeholder views to develop solutions and recommendations. Address sub-standard work or work that does not meet firm's/client's expectations. Use data and insights to inform conclusions and support decision-making. Develop a point of view on key global trends, and how they impact clients. Manage a variety of viewpoints to build consensus and create positive outcomes for all parties. Simplify complex messages, highlighting and summarising key points. Uphold the firm's code of ethics and business conduct. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Degrees/Field of Study preferred: Bachelor Degree Certifications (if blank, certifications not specified) Required Skills Communication, External Stakeholder Management, Office Administration, People Management, Problem Resolution, Stakeholder Management Optional Skills Business Software, Leadership Training and Development, Report Preparation, Software Applications 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