data engineer

senior data analyst

senior machine learning engineer Jobs in Cairo

senior machine learning engineer

business analytics analyst

business data analyst

senior data scientist

LSEG

<div>
 Job Summary:
 
 
 As a Junior Data Scientist, you will assist in delivering data-driven insights and solutions under the guidance of senior data scientists. This role is focused on applying basic machine learning and data analysis techniques to assist in developing solutions that address customer needs. You will collaborate with multi-functional teams, learning from experienced professionals and helping implement data science-driven products, particularly focusing on data preparation, model implementation, and data analysis tasks.
 
 
 Role &amp; Responsibilities:
 
 
 <ul>
 <li>
 Assist in the development and deployment of machine learning models under the guidance of senior data scientists.
 </li>
 <li>
 Apply basic machine learning techniques, including data preprocessing, feature engineering, and model evaluation, to solve business problems.
 </li>
 <li>
 Collaborate with the team to gather and analyze data, ensuring data quality and consistency.
 </li>
 <li>
 Support the creation of dashboards, reports, and data visualizations to communicate findings.
 </li>
 <li>
 Work with senior team members to understand client requirements and contribute to the design and implementation of data science solutions.
 </li>
 <li>
 Perform exploratory data analysis (EDA) to understand data patterns and trends.
 </li>
 <li>
 Assist in the maintenance and updating of models and algorithms in production.
 </li>
 <li>
 Develop scripts for automating data processing tasks and workflows.
 
 
 </li>
 </ul>
 Qualifications and Experience Required:
 
 
 <ul>
 <li>
 3-5 years experience in data science, machine learning, or a related field, ideally in a financial industry or familiar with finance.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field.
 </li>
 <li>
 Basic understanding of machine learning algorithms and their applications.
 </li>
 <li>
 Proficiency in Python with knowledge of libraries such as Pandas, NumPy, and scikit-learn for data analysis and model building.
 </li>
 <li>
 Familiarity with SQL for querying relational databases and performing data manipulation.
 </li>
 <li>
 Understanding of data preprocessing techniques, including handling missing data, scaling, and encoding.
 </li>
 <li>
 Basic knowledge of cloud platforms (AWS, GCP, or Azure) and machine learning frameworks such as TensorFlow or PyTorch.
 </li>
 <li>
 Ability to learn quickly and apply new concepts in data science.
 </li>
 <li>
 Strong analytical and problem-solving skills, with the ability to communicate findings effectively.
 </li>
 <li>
 A passion for learning and staying updated with the latest developments in data science and machine learning.
 </li>
 <li>
 Experience with data visualization tools like Tableau, Power BI, or Matplotlib.
 </li>
 <li>
 Familiarity with NoSQL databases like MongoDB or Cassandra.
 </li>
 <li>
 Knowledge of basic NLP techniques for text data analysis.
 </li>
 <li>
 Interest in gaining exposure to deep learning frameworks like TensorFlow and PyTorch.
 </li>
 <li>
 Interest in gaining exposure to LLMs and agentic frameworks
 
 
 </li>
 </ul>
 LSEG is committed to encouraging a diverse, equitable, an inclusive work environment, ensuring equal opportunities for all employees, regardless of their background. We offer great employee benefits to make sure everyone performs to the best of their abilities. We offer a hybrid working model.
 
 
 
 Career Stage:
 
 
 
 Senior Associate
 
 
 
 London Stock Exchange Group (LSEG) Information:
 
 
 
 Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
 
 
 LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
 
 
 Our purpose is the foundation on which our culture is built. Our values of
 
 Integrity, Partnership
 
 ,
 
 Excellence
 
 and
 
 Change
 
 underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
 
 
 Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
 
 
 We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone&rsquo;s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
 
 
 You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
 
 
 LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
 
 
 Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it&rsquo;s used for, and how it&rsquo;s obtained, your rights and how to contact us as a data subject.
 
 
 If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
</div>

Junior Data Scientist

Finaira

<div>
 
 The Principal Data Scientist will provide strategic technical leadership and direction for data science initiatives across the organization, particularly within the financial sector. This role is responsible for driving innovation, setting technical standards, mentoring a team of data scientists, and collaborating with senior stakeholders to define and deliver high-impact AI and machine learning solutions that align with business strategy and drive significant value.
 
 
 
 
 
 
 
 
 
 The difference you will make
 
 
 <ul>
 <li>
 Define the technical data science strategy and roadmap
 </li>
 <li>
 Lead the research and development of cutting-edge AI solutions
 </li>
 <li>
 Evaluate and implement new data science technologies and platforms
 </li>
 <li>
 Provide technical leadership and guidance to the data science team
 </li>
 <li>
 Ensure the scalability and reliability of data science infrastructure
 </li>
 </ul>
 
 
 
 
 Requirements:
 
 
 
 Education:
 
 
 <ul>
 <li>
 Master&rsquo;s degree or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field with an exceptional academic record.
 </li>
 </ul>
 
 
 
 
 
 Experience:
 
 
 <ul>
 <li>
 8+ years of progressive experience in data science, with more than 2 years spent leading and successfully delivering complex AI/ML projects with demonstrable business impact.
 </li>
 <li>
 Extensive and deep experience in the financial services industry, with a comprehensive understanding of financial data, regulations, and business challenges.
 </li>
 <li>
 Proven experience in leading and mentoring data science teams.
 </li>
 <li>
 A strong portfolio showcasing the successful application of AI/ML to solve significant financial problems (e.g., transformative fraud prevention systems, advanced risk management platforms, high-impact algorithmic trading strategies, game-changing customer analytics solutions).
 </li>
 </ul>
 
 
 
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Expert-level mastery in multiple programming languages relevant to data science (e.g., Python, R, Scala, Java) and their associated libraries and frameworks.
 </li>
 <li>
 Deep and comprehensive expertise across a wide range of machine learning frameworks, including advanced knowledge of deep learning architectures and specialized tools.
 </li>
 <li>
 Exceptional understanding of both foundational and cutting-edge statistical concepts and ML algorithms, including deep learning architecture and specialized tools.
 </li>
 <li>
 Deep understanding of Data and AI governance frameworks and requirements.
 </li>
 <li>
 Advanced mathematical skills, demonstrating a strong theoretical understanding and practical application to complex financial problems.
 </li>
 <li>
 Expert-level proficiency in SQL and a variety of database management systems (both relational and NoSQL), with the ability to design and optimize data storage and retrieval for large-scale AI/ML applications.
 </li>
 <li>
 Extensive experience with advanced data visualization tools and the ability to communicate complex insights to executive audiences through compelling visuals and narratives.
 </li>
 <li>
 Deep and practical experience with cloud computing platforms (AWS, Azure, GCP) and their comprehensive suite of AI/ML services, including architecting and deploying scalable solutions.
 </li>
 <li>
 Proven expertise in designing and working with large, complex data sets and big data technologies (Hadoop, Spark, etc.), including the ability to optimize data processing workflows for performance and scalability.
 </li>
 <li>
 Mastery of various distributed databases (Hive, Impala, Redis, etc.) and a proven ability to design and implement efficient data storage and access patterns for AI/ML workloads.
 </li>
 </ul>
 
 
 
 
 
 Soft Skills
 
 
 <ul>
 <li>
 Strong ownership and accountability for assigned work.
 </li>
 <li>
 Clear and professional verbal and written communication.
 </li>
 <li>
 Effective time management and task prioritization.
 </li>
 <li>
 Analytical thinking and problem-solving skills.
 </li>
 <li>
 Ability to work independently, collaborate effectively and mentor junior team members.
 </li>
 <li>
 Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.
 </li>
 <li>
 Adaptability and learning agility in a fast-paced environment.
 </li>
 <li>
 Strong attention to detail and a commitment to quality.
 </li>
 <li>
 Receptiveness to feedback and continuous improvement mindset.
 </li>
 </ul>
 
 
 
 
 Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.
 
</div>

Principal Data Scientist

Infomineo

<div>
 
 
 About us
 
 
 
 Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence. We&rsquo;ve evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise. We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling. This is made possible by relying on 3 pillars of excellence:
 
 
 
 
 <ol>
 <li>
 350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona).
 </li>
 <li>
 Our proprietary AI orchestrator.
 </li>
 <li>
 Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions.
 </li>
 </ol>
 
 
 
 
 Ready to kick start your career with us?
 
 
 
 
 
 
 Why Infomineo? Here&rsquo;s what sets us apart:
 
 
 <ul>
 <li>
 
 Shape the Future of Business Insights:
 
 You will be at the forefront, leading the design and implementation of AI-driven solutions that automate tasks and drive efficiency across our entire service spectrum (Business Research, Content, Design, and Data Analytics).
 </li>
 <li>
 
 Work with Global Leaders:
 
 Our clients are industry leaders &mdash; Fortune 500s, top consultancies, governments, and NGOs. You will take ownership of delivering technical solutions that directly support their success.
 </li>
 <li>
 
 Lead in AI &amp; Technology:
 
 We foster continuous learning and technical excellence. You will stay ahead of the latest advancements in AI and software engineering, and actively drive innovation across the team.
 </li>
 <li>
 
 Thrive in a Collaborative Culture:
 
 We value intellectual curiosity, leadership, and a can-do attitude. You will be encouraged to mentor others, contribute strategic ideas, and make a lasting impact on the company&rsquo;s growth.
 </li>
 </ul>
 
 
 
 
 
 About this role:
 
 
 
 We are seeking an experienced and technically strong individual to join us as a
 
 Senior AI Software Engineer
 
 . In this role, you will take ownership of the design, development, and deployment of AI-powered web applications that serve our internal teams and global clients. You will lead technical initiatives, define architectural standards, and mentor junior engineers, while working across the full stack from application code to AI integration and cloud infrastructure.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 Application Development:
 
 
 <ul>
 <li>
 Architect and lead the development of scalable, production-grade web applications, primarily using Python (FastAPI) for the backend and React, Next.js, or Vue for the frontend, while remaining adaptable to other technologies based on project scope and requirements.
 </li>
 <li>
 Define and enforce coding standards, design patterns, and architectural best practices across the engineering team to ensure maintainability and scalability.
 </li>
 <li>
 Lead code reviews, provide technical feedback to junior engineers, and actively contribute to building a high-quality engineering culture.
 </li>
 <li>
 Collaborate with stakeholders and product teams to translate business requirements into robust technical solutions, owning features end-to-end.
 </li>
 </ul>
 
 
 
 
 
 AI &amp; LLM Integration:
 
 
 <ul>
 <li>
 Design and implement complex AI-powered features by integrating LLM APIs and services using frameworks such as LangChain or equivalent, with a focus on reliability and performance in production.
 </li>
 <li>
 Own the architecture of Retrieval-Augmented Generation (RAG) pipelines, including document processing, vectorization, semantic search, and query optimization for large-scale enterprise use cases.
 </li>
 <li>
 Design, implement, and maintain Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and data sources, enabling context-aware and extensible AI solutions.
 </li>
 <li>
 Design and maintain robust REST API integrations with third-party AI services and enterprise SaaS platforms, ensuring data integrity and performance at scale.
 </li>
 <li>
 Implement LLM observability and monitoring strategies to ensure transparency, reliability, and continuous improvement of AI features in production environments.
 </li>
 </ul>
 
 
 
 
 
 Deployment &amp; DevOps:
 
 
 <ul>
 <li>
 Lead the containerization and cloud deployment of applications, preferably on Google Cloud Platform (GCP) using GKE and Artifact Registry, while remaining open to other cloud environments based on project requirements.
 </li>
 <li>
 Design and maintain CI/CD pipelines using GitHub Actions or equivalent tools, applying GitOps principles and automated deployment workflows to ensure reliable and repeatable releases.
 </li>
 <li>
 Own the reliability and performance of production environments, proactively identifying bottlenecks and driving resolution of infrastructure and application issues.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 4 to 6 years of experience in software engineering and AI development, with a proven track record of delivering production-grade web applications and AI-powered systems.
 </li>
 <li>
 Strong proficiency in Python and a backend framework (preferably FastAPI), with solid experience in a modern frontend framework such as React, Next.js, or Vue.
 </li>
 <li>
 Deep understanding of LLMs, RAG architectures, and production-grade AI service integration (e.g., OpenAI, Gemini, LangChain or equivalent), including observability and performance monitoring.
 </li>
 <li>
 Proven experience designing and implementing Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and enterprise data sources.
 </li>
 <li>
 Hands-on experience with Docker and cloud deployment on at least one major cloud platform (AWS, Azure, GCP, or equivalent), with familiarity with container orchestration and artifact management services.
 </li>
 <li>
 Proven experience designing and maintaining CI/CD pipelines using GitHub Actions or similar tools, with strong command of GitOps workflows and branching strategies.
 </li>
 <li>
 Demonstrated ability to lead technical initiatives, mentor junior engineers, and collaborate effectively with product teams and non-technical stakeholders.
 </li>
 <li>
 Experience integrating AI outputs into analytical workflows, dashboards, or data pipelines in a client delivery context.
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Software Engineering, or a related field.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills:
 
 
 <ul>
 <li>
 Experience with agentic AI frameworks such as LangGraph or similar orchestration tools for building multi-step AI workflows.
 </li>
 <li>
 Knowledge of advanced prompt engineering, vector database management, and embedding model optimization for production environments.
 </li>
 <li>
 Experience with Infrastructure as Code (IaC) tools such as Terraform or Pulumi.
 </li>
 <li>
 Relevant certifications such as Google Cloud Professional Developer or similar cloud and AI credentials.
 </li>
 </ul>
 
 
 
 
 
 What we offer:
 
 
 <ul>
 <li>
 A competitive compensation and benefits package.
 </li>
 <li>
 The opportunity to lead AI and technology initiatives with real global impact.
 </li>
 <li>
 A dynamic and supportive work environment that values leadership, innovation, and your contributions.
 </li>
 <li>
 Continuous learning and professional development opportunities to propel your career forward in AI and software engineering.
 </li>
 </ul>
 
 
 
 
 
 Application Process:
 
 
 
 Candidates are invited to submit a resume, cover letter, and any relevant portfolio or GitHub links showcasing their experience in web application development, AI integration, and cloud deployment. Shortlisted candidates will undergo a technical assessment and interview to demonstrate their skills and technical leadership capabilities.
 
 
 
 
 
 
 Infomineo: Where brilliant minds meet to shape the future of business.
 
 
 
 
</div>

Data Analytics - Sr. Software Engineer with AI background - Cairo

Valeo

<div>
 <ul>
 <li>
 Responsibilities
 </li>
 <ul>
 <li>
 Participate in Analytics projects in GCP
 </li>
 <li>
 Design, build, and optimize scalable data pipelines for ingestion, processing, and validation.
 </li>
 <li>
 Monitor and optimize cloud environments for performance, security, and cost efficiency.
 </li>
 <li>
 Manage and configure GCP resources such as BigQuery, Cloud Functions, Cloud Storage, and other GCP services. .
 </li>
 <li>
 Ensure data quality and validation across the analytics ecosystem.
 </li>
 <li>
 Implement cloud security best practices and ensure compliance with industry standards.
 </li>
 <li>
 Collaborate with cross-functional teams to integrate data from multiple sources and improve data flows.
 </li>
 <li>
 Explore and experiment with new use cases in Data Analytics, Data Engineering, and AI.
 </li>
 <li>
 Troubleshoot and resolve cloud and data pipeline issues to improve system reliability.
 </li>
 <li>
 Provide insights and recommendations for cloud cost optimization and resource management.
 </li>
 <li>
 Collect, analyze, and align business requirements with stakeholders for data-driven solutions.
 </li>
 <li>
 Develop and maintain clear documentation for data processes, cloud architecture, and best practices.
 
 </li>
 </ul>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Education/Training
 </li>
 <li>
 BSc degree in computer engineering, computer science or any similar technical field of study
 </li>
 <li>
 Languages
 </li>
 <li>
 Excellent command of English language is a must (Written and Verbal)
 </li>
 <li>
 French fluency is a plus.
 </li>
 </ul>
</div>

Senior Google Cloud Data Engineer, Valeo Service

Arrow Electronics

<div>
 
 Position
 
 
 
 Senior DevOps Engineer
 
 
 
 Job Description
 
 
 
 SiliconExpert Technologies, Inc. is looking for Senior DevOps Engineers with strong development background, who will be responsible for enabling faster release and deployment cycles, by taking advantage of agile development methodologies, improved collaboration between business stakeholders, application development and operations teams and automation tools, they will work collaboratively with software engineering to deploy and operate our systems, automate and streamline our operations and processes, build and maintain tools for deployment, monitoring and alerting, and troubleshoot and resolve issues in our Dev/QA/Prod. environments.
 
 
 
 Job Overview
 
 
 
 
 Primary focus for the role developing and building containerization solutions, Senior DevOps Engineer installs and configures solutions, implement reusable components, translate technical requirements, and assist with all stages of test data and monitoring the container orchestration layer
 
 .
 
 
 Senior DevOps Engineer will build automated deployments, through the use of configuration management technology, helps create requirements and procedures for implementing routine maintenance, deploy new modules and upgrades and complete fixes within the production environment and troubleshooting existing information systems for errors and resolving those errors.
 
 
 Senior DevOps Engineer will build and implement infrastructure / application disaster recovery solution, through the use of infrastructure as code technology.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Take the full responsibility to write dockerfile for all apps and Transform Spring boot Java application and Nodejs/Angular/ PHP to containerized images.
 </li>
 <li>
 Using AWS Services to store and run the images with EKS orchestration layer.
 </li>
 <li>
 Plan, design, sizing, Implement and operate the Kubernetes cluster using EKS infrastructures and other integrated AWS services.
 </li>
 <li>
 Using ArgoCD and Helm for application deployments.
 </li>
 <li>
 Automate the infrastructure provisioning &amp; operations using Terraform.
 </li>
 <li>
 Automate the Configuration management using ansible.
 </li>
 <li>
 Plan and Implement DR Plan on AWS.
 </li>
 <li>
 On call duties.
 </li>
 <li>
 Troubleshooting existing information systems for errors and resolving those errors.
 </li>
 <li>
 Work closely with development &amp; QA teams to create processes and tools that provide immediate feedback on source changes
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Bachelor&rsquo;s degree in Computer Engineering / Computer Science or equivalent education in the form of work experience at similar technology positions.
 
 
 A minimum of 3 years of work experience as a Developer/Systems Administrator/DevOps, supporting development teams (sysadmins + Java/Angular software development).
 
 
 <ul>
 <li>
 Experience in containers/container orchestration platforms; Docker, Kubernetes and AWS EKS. (Minimum of 2 years of work experience)
 </li>
 <li>
 Experience in ArgoCD, Helm and EKS cluster monitoring and Auto scaling.
 </li>
 <li>
 Experienced with Terraform as IaC knowledge, integrated with AWS different services (EC2, ECR, EKS, VPC, IAM, S3, ELB).
 </li>
 <li>
 Experienced in AWS platform as DevOps (Deployment strategies, Disaster Recovery, IaC, Security and Automation).
 </li>
 <li>
 Strong Knowledge in AWS platform as Solutions Architect (High availability, elasticity, Scalability, Migration and Cost Estimated / Optimization).
 </li>
 <li>
 Good Knowledge with Ansible for configuration management integrating with AWS different services to automate different tasks.
 </li>
 <li>
 Strong Knowledge of managing CI/CD tools preferably Jenkins.
 </li>
 <li>
 Good Knowledge of monitoring and logging tools ELK, Newrelic.
 </li>
 <li>
 knowledge of Build Tools (Maven, AngularJS) and Webservers Tomcat/Apache
 
 
 </li>
 </ul>
 
 Certificates
 
 
 
 AWS DevOps Professional is advanced.
 
 
 CKAD / CKA is advanced.
 
 
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Senior DevOps Engineer

Amazon

<div>
 
 Description
 
 
 
 Amazon is seeking a highly motivated Business Development Manager to lead the growth of the Hub Delivery program across Egypt. This role is responsible for driving expansion of our Hub partner stores by building and managing high-performing field sales teams. The successful candidate will combine strategic planning with hands-on leadership to accelerate partner acquisition while upholding Amazon's high standards of customer experience and compliance.
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 Lead and develop a team of Account Development Executives (ADEs), fostering strong field performance, compliance, and capability building across Egypt.
 </li>
 <li>
 Own the country-wide acquisition and expansion strategy, ensuring sustainable growth and high-quality onboarding of Hub partners aligned with network capacity and operational needs.
 </li>
 <li>
 Analyze performance data to track field team effectiveness, identify growth opportunities, and drive continuous improvement in partner acquisition and retention metrics.
 </li>
 <li>
 Serve as the senior escalation point for complex onboarding challenges, partner performance issues, and operational blockers that impact delivery network reliability.
 </li>
 <li>
 Collaborate with Delivery Stations, Program, and Product teams to implement and enhance tools, processes, and partner experience (eg. Salesforce).
 </li>
 <li>
 Collaborate with Delivery Stations, Program, and Product teams to implement and enhance tools, processes, and partner experience (e.g., Salesforce, partner portals, training systems).
 </li>
 <li>
 Represent Egypt in regional and global business reviews, providing data-driven insights, accurate forecasts, and strategic recommendations to senior leadership.
 </li>
 <li>
 Drive compliance with local regulations, labor laws, and Amazon's operational standards while adapting global best practices to the Egyptian market context.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 5+ years of experience in Sales, Business Development, or related field with demonstrated success in partner/vendor acquisition and relationship management.
 </li>
 <li>
 Proven ability managing large, geographically dispersed field teams with experience in operations planning, resource allocation, and balancing multiple priorities in fast-paced, deadline-driven environments.
 </li>
 <li>
 Strong analytical skills with experience using data to drive decision-making, forecast performance, and identify business opportunities.
 </li>
 <li>
 Excellent stakeholder management skills with ability to influence cross-functional teams and drive alignment across organizational boundaries.
 </li>
 <li>
 Fluency in English and Arabic, with strong written and verbal communication skills for both local team leadership and global stakeholder engagement.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience in logistics, last-mile delivery, or e-commerce operations in Egypt or similar emerging markets.
 </li>
 <li>
 Track record of building and scaling field sales or operations teams from ground up.
 </li>
 <li>
 Experience with CRM systems (Salesforce preferred) and data analytics tools.
 </li>
 <li>
 Bachelor's degree in Business, Engineering, or related field; MBA is a plus.
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - Souq.com for E-Commerce LLC
 
 
 Job ID: A3196851
</div>

Business Development Manager – Egypt, Hub Delivery

York Towers

<div>
 York Towers is the development arm of the York Holding Group. Through continuous research and the ability to predict emerging trends, the company keeps an edge over the market. Playing a leading role in driving the successful development and diversification of one of the most vital economic sectors, York Towers is committed to creating residential products across the country that provide residents with distinctive, universal, multicultural, and enriching lifestyles. York Towers is the exclusive developer of luxury real estate worldwide. The company aims to become a leading real estate player through an efficient business model and advanced technologies used for designing and construction. Since its establishment in 2016, York Towers has delivered 20 real estate properties and runs six dynamic projects. York Towers operates eight offices in five countries across three continents.
 
 Dwelleo is an AI-powered, bilingual (Arabic/English) real estate marketplace serving the Saudi market. We're building a native-quality mobile experience on Flutter, and we're looking for a Senior Flutter Developer to own it end to end.
 
 
 
 
 
 This is a single-owner role: you will be our only mobile engineer. You'll be responsible for the full lifecycle of the app &mdash; architecture, implementation, release, and maintenance &mdash; working closely with backend, design, QA, and product. We need someone senior enough to make sound architectural decisions independently, set the standard for code quality, and deliver reliably without day-to-day hand-holding, while collaborating tightly across chapters.
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Own the Dwelleo mobile app end to end: architecture, development, testing support, release management, and post-launch maintenance across iOS and Android from a single Flutter codebase.
 </li>
 <li>
 Implement full
 
 bilingual Arabic/English support
 
 with correct
 
 RTL/LTR layout handling
 
 , localization, and locale-aware formatting (dates, numbers, currency).
 </li>
 <li>
 Translate Figma designs into pixel-accurate, responsive, performant UI &mdash; including the upcoming mobile design migration.
 </li>
 <li>
 Integrate with backend services over REST APIs; collaborate with the backend chapter to shape mobile-facing API contracts.
 </li>
 <li>
 Integrate AI-driven and real-estate features (e.g. property listings, search, listing scoring, lead flows) into the mobile experience.
 </li>
 <li>
 Handle authentication, secure storage, push notifications, deep linking, and payment flows as the product requires.
 </li>
 <li>
 Establish and maintain mobile engineering standards: state management, project structure, CI/CD for mobile, code review discipline, and automated testing.
 </li>
 <li>
 Manage the full release process: build pipelines, signing, App Store and Google Play submissions, versioning, and store compliance.
 </li>
 <li>
 Monitor app performance, crashes, and stability; instrument analytics and act on the data.
 </li>
 <li>
 Ensure the app meets Saudi regulatory and data-protection requirements (PDPL and related) in how it handles user data on-device and in transit.
 </li>
 <li>
 Maintain clear technical documentation so the app remains supportable as the team grows.
 
 
 
 </li>
 </ul>
 Required qualifications:
 
 
 
 <ul>
 <li>
 5+ years of professional mobile development, with substantial
 
 Flutter/Dart
 
 experience shipping and maintaining production apps on both iOS and Android.
 </li>
 <li>
 Proven track record owning at least one app end to end &mdash; ideally as a sole or lead mobile engineer.
 </li>
 <li>
 Strong command of Flutter state management (Bloc, Riverpod, Provider, or similar) and clean, scalable architecture (e.g. layered/clean architecture).
 </li>
 <li>
 Solid experience consuming REST APIs, handling async data, caching, and offline states.
 </li>
 <li>
 Hands-on experience with
 
 RTL layouts and full app localization
 
 (Arabic experience strongly preferred).
 </li>
 <li>
 Experience with the full release pipeline: CI/CD, code signing, and App Store / Google Play publishing.
 </li>
 <li>
 Comfortable working from Figma; good eye for design fidelity and UX detail.
 </li>
 <li>
 Strong testing instincts (unit and widget tests) and a quality-first mindset.
 </li>
 <li>
 Fluent English communication; able to work autonomously and collaborate across a cross-functional team.
 
 
 
 </li>
 </ul>
 Nice to have:
 
 
 
 <ul>
 <li>
 Arabic &amp; English language proficiency.
 </li>
 <li>
 Real estate, marketplace, or fintech domain experience.
 </li>
 <li>
 Experience integrating payment gateways and AI/LLM-powered features into mobile apps.
 </li>
 <li>
 Native iOS (Swift) or Android (Kotlin) familiarity for platform-channel work.
 </li>
 <li>
 Experience setting up mobile analytics and crash reporting (Firebase, Sentry, or similar).
 
 
 </li>
 </ul>
 
 
 
</div>

Senior Flutter Developer (Mobile)

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