senior devops engineer

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senior java software engineer

senior front end engineer

Adree

<div>
 Adree is seeking a creative and detail-oriented
 
 OutSystems Front-End Developer, Senior
 
 to elevate the user experience and visual interface of our digital products. This role focuses heavily on the look, feel, and responsiveness of OutSystems applications. You will be responsible for translating UI/UX wireframes and mockups into high-fidelity, reusable OutSystems themes, blocks, and templates. Operating at the intersection of design and low-code engineering, you will ensure seamless web and mobile user interfaces that are pixel-perfect, highly performant, and compliant with accessibility standards.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 UI/UX Implementation: Translate Figma or Adobe XD wireframes/mockups into fully functional, high-performance OutSystems Reactive Web and Mobile interfaces
 </li>
 <li>
 Theme &amp; Style Guide Creation: Design and maintain robust OutSystems custom themes, CSS style guides, and reusable UI components (Web Blocks) to enforce design consistency across multiple apps
 </li>
 <li>
 Advanced Styling: Use Advanced CSS, HTML5, and JavaScript to extend the OutSystems UI framework, creating custom layouts and interactive components when native widgets are insufficient
 </li>
 <li>
 Cross-Browser &amp; Device Optimization: Ensure all developed interfaces are fully responsive, pixel-perfect, and optimized for cross-browser and multi-device performance
 </li>
 <li>
 Performance Tuning (Front-End): Optimize front-end rendering, DOM manipulation, asset loading, and client-side logic to ensure rapid application load times
 </li>
 <li>
 Collaboration: Work side-by-side with UI/UX Designers to validate feasibility, and with Back-End/OutSystems Developers to bind UI components to data actions and APIs
 </li>
 <li>
 Accessibility &amp; Standards: Apply web accessibility guidelines (WCAG) and UI design patterns strictly across all developed screens
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Education
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Information Technology, UI/UX Design, or a related field
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 4+ years of experience in Front-End Web Development, with a minimum of 2-3 years specializing inside the OutSystems platform focusing on UI capabilities
 
 
 </li>
 </ul>
 
 Skills &amp; Competencies (Technical &amp; Analytical + Soft)
 
 
 
 <ul>
 <li>
 OutSystems UI Framework: Mastery of OutSystems UI widgets, customization of patterns, and client-side logic/actions
 </li>
 <li>
 Core Web Technologies: Expert knowledge of HTML5, CSS3, Advanced CSS (SASS/LESS), and Vanilla JavaScript / Modern JS frameworks
 </li>
 <li>
 Design System Literacy: Comfort working directly from design tools like Figma, Zeplin, or Lucidchart
 </li>
 <li>
 Responsive Layouts: In-depth knowledge of Flexbox, Grid systems, and mobile-first responsive design paradigms
 </li>
 <li>
 Attention to Detail: An exceptional eye for typography, alignment, animations, micro-interactions, and visual hierarchy
 </li>
 <li>
 Collaboration: Strong communication skills to bridge the gap between design visions and technical low-code constraints
 
 
 </li>
 </ul>
 
 Job Location:
 
 HQ
</div>

OutSystems Front-End Developer, Senior

🌮⭐️ TacoStars

<div>
 Foodics
 
 
 Software Engineering
 
 
 Cairo, Cairo Governorate, Egypt
 
 
 Posted on Jun 9, 2026
 
 
 Apply now
 
 
 
 Who Are We
 
 ❓
 
 
 
 We Are Foodics!
 
 a leading restaurant management ecosystem and payment tech provider. Founded in 2014 with headquarter in Riyadh and offices across 5 countries, including UAE, Egypt, Jordan and Kuwait. We are currently serving customers and partners in over 35 different countries worldwide. Our innovative products have successfully processed over 6 billion (yes, billion with a B) orders so far! making Foodics one of the most rapidly evolving SaaS companies to ever emerge from the MENA region. Also Foodics has achieved three rounds of funding, with the latest raising $170 million in the largest SaaS funding round in MENA, boosting its innovation capabilities to better serve business owners.
 
 
 
 The Job in a Nutshell💡
 
 
 
 We're hiring a Senior Engineer to lead significant pieces of work on our platform - from shaping the problem with Product, through designing the solution, to shipping it and supporting it in production. You'll be a key technical voice on the team, helping to set the bar for what good looks like and mentoring others as you go. You'll be working with modern PHP and TypeScript/React on a platform that processes hundreds of thousands of orders a week. The challenges are real, the autonomy is high, and the team is small enough that your decisions matter.
 
 
 
 What Will You Do❓
 
 
 
 <ul>
 <li>
 Lead the development of new features end-to-end - from refining the requirements with Product through to shipping and monitoring in production.
 </li>
 <li>
 Drive the technical design of significant system changes and set development standards for the Backend team.
 </li>
 <li>
 Mentor others and be willing to learn from them in turn.
 </li>
 <li>
 Enthuse about new technology and look for pragmatic opportunities to enhance our existing technology stack.
 </li>
 <li>
 Operate with autonomy: identify problems, propose solutions, and follow through without needing to be managed.
 
 
 </li>
 </ul>
 
 What Are We Looking For❓
 
 
 
 
 Backend depth:
 
 Comfortable leading non-trivial work in modern PHP (7/8+) - Object-Oriented Design, testability, and the trade-offs of common patterns are second nature.
 
 
 
 Frontend competence:
 
 Can ship production React/TypeScript features end-to-end without supervision.
 
 
 
 Scale experience:
 
 You've worked on high-traffic web applications and understand what breaks at scale - database hotspots, caching, queueing, idempotency, observability.
 
 
 
 Relational databases:
 
 Practical experience with MySQL or similar - you can read an EXPLAIN plan and fix a slow query without guessing.
 
 
 
 Integration work:
 
 Experience designing and consuming HTTP APIs, including handling the messy realities of third-party reliability.
 
 
 
 AI-assisted development:
 
 You use modern AI coding tools (Claude Code, Cursor, Copilot or similar) as part of your daily workflow - and you have a healthy scepticism of their output. You can tell when the model is bluffing and you don't merge code you don't understand.
 
 
 
 Product partnership:
 
 Can work with Product Managers to refine requirements, push back constructively, and give honest estimates.
 
 
 
 Communication:
 
 Can explain technical decisions to non-engineers and write clearly enough that async collaboration actually works.
 
 
 
 Judgment:
 
 Strong problem-solving, attention to detail, and the instinct to ask "do we actually need this?" before adding complexity.
 
 
 
 Who Will Excel❓
 
 
 
 <ul>
 <li>
 DevOps experience with a major cloud provider (AWS / GCP / Azure).
 </li>
 <li>
 Kubernetes, CI/CD pipelines.
 </li>
 <li>
 Python, Node, or other backend languages - we care more about polyglot instinct than the specific stack.
 </li>
 <li>
 Elasticsearch, GraphQL.
 </li>
 <li>
 Experience evaluating or building features that incorporate LLMs into a product (prompt design, RAG, evals, cost/latency trade-offs).
 
 
 </li>
 </ul>
 
 What We Offer You❗
 
 
 
 <ul>
 <li>
 Curated career progression planning with formal yearly reviews and informal check-ins along the way.
 </li>
 <li>
 Encouragement to grow into a Feature Development Lead.
 </li>
 <li>
 A competitive salary.
 </li>
 <li>
 Ample time to learn new concepts - including paid development and business-related conferences.
 </li>
 <li>
 Fully remote working, no commuting expenses.
 </li>
 <li>
 Flexible work hours. We'll need you around for a 10am stand-up; otherwise you work as and when it suits you.
 </li>
 <li>
 25 days holiday (plus bank holidays), with an additional day per year of service.
 </li>
 <li>
 Regular all-company socials and quarterly team socials.
 </li>
 <li>
 A team that genuinely likes learning and shipping together.
 
 
 </li>
 </ul>
 Apply now
 
 
 See more open positions at Foodics
</div>

Senior Full Stack Engineer

Siemens Digital Industries Software

<div>
 Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management (PLM) software.
 
 
 
 Job Summary
 
 
 
 We are seeking a highly skilled Senior Software Engineer with strong expertise in backend development to design, build, and maintain scalable, secure, and high-performance software solutions. The ideal candidate has deep experience with Java, Spring Boot, AWS cloud services, containerization technologies, and both relational and NoSQL databases.
 
 
 In this role, you will work closely with cross-functional teams to architect backend systems, develop cloud-based applications, and ensure reliable, scalable production services. This is an excellent opportunity for an experienced backend engineer who enjoys building robust distributed systems and solving complex technical challenges.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, test, and maintain scalable backend applications using Java and Spring Boot
 </li>
 <li>
 Build and enhance RESTful APIs and microservices-based architectures
 </li>
 <li>
 Develop secure, reliable, and high-performing systems for cloud-native environments
 </li>
 <li>
 Build and support applications deployed on AWS
 </li>
 <li>
 Work with containerization technologies such as Docker and orchestration platforms such as Kubernetes
 </li>
 <li>
 Design and optimize data models using relational databases and NoSQL databases
 </li>
 <li>
 Ensure application scalability, performance, maintainability, and reliability
 </li>
 <li>
 Collaborate with product managers, architects, QA engineers, and other developers to deliver high-quality solutions
 </li>
 <li>
 Troubleshoot application issues and perform root cause analysis
 </li>
 <li>
 Apply best practices in security, performance optimization, and software engineering
 </li>
 <li>
 Mentor junior engineers and contribute to engineering standards, code reviews, and technical design discussions
 </li>
 <li>
 Participate in architecture planning and technical decision-making
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Engineering, Computer Science or a related field
 </li>
 <li>
 5+ years of professional software development experience, with significant focus on backend engineering
 </li>
 <li>
 Strong hands-on experience with Java and Spring Boot
 </li>
 <li>
 Experience designing and developing microservices and REST APIs
 </li>
 <li>
 Strong experience with AWS services such as:
 </li>
 <li>
 EC2
 </li>
 <li>
 ECS and/or EKS
 </li>
 <li>
 Lambda
 </li>
 <li>
 RDS
 </li>
 <li>
 S3
 </li>
 <li>
 Experience with Docker and container orchestration platforms such as Kubernetes
 </li>
 <li>
 Experience with relational databases such as PostgreSQL, MySQL, or Oracle
 </li>
 <li>
 Experience with NoSQL databases such as MongoDB, DynamoDB, or Cassandra
 </li>
 <li>
 Proficiency with Git and modern development workflows
 </li>
 <li>
 Strong understanding of software design principles, object-oriented programming, and distributed systems
 </li>
 <li>
 Experience with testing frameworks and practices, including unit, integration, and API testing
 </li>
 <li>
 Strong problem-solving, communication, and collaboration skills
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Familiarity with messaging and streaming technologies such as Kafka, RabbitMQ, or SQS/SNS
 </li>
 <li>
 Experience with monitoring and observability tools
 </li>
 <li>
 Knowledge of security best practices for cloud and application development
 </li>
 <li>
 Experience working in Agile/Scrum environments
 </li>
 <li>
 Exposure to serverless architectures
 </li>
 <li>
 Experience leading technical projects or mentoring engineering teams
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 Backend Development : Java , Spring Boot , REST APIs , Microservices ,Hibernate / JPA ,Maven / Gradle
 
 
 Cloud &amp; Platform : AWS , Docker , Kubernetes ,Linux
 
 
 Databases : Relational databases: PostgreSQL, MySQL, Oracle. NoSQL databases: MongoDB, DynamoDB, Cassandra. Data modeling
 
 
 We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
 
 
 A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow!
 
 
 #SWSaaS
 
 
</div>

Senior Software Backend Development Engineer

Mondia

<div>
 
 Job Purpose
 
 
 
 Designs, builds, and operates production-grade Java microservices on Spring Boot. Owns the full delivery lifecycle: API design, data modelling, messaging, observability, CI/CD, and on-call support. Collaborates closely with Product, QA, and SRE teams to deliver reliable, scalable services. Provides architectural guidance, makes key technical decisions, and mentors other developers. The role involves ensuring best practices, optimizing performance, and aligning technical solutions with business goals while building secure, high-performing distributed systems.
 
 
 
 Roles And Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement high-performance, scalable microservices using Java 17+ and Spring Boot
 </li>
 <li>
 Own end-to-end API design including versioning, idempotency, error contracts, and OpenAPI specifications
 </li>
 <li>
 Architect microservices following bounded contexts, saga patterns, and proper service decomposition
 </li>
 <li>
 Enforce security best practices including OAuth2, JWT, secure coding, and vulnerability remediation
 </li>
 <li>
 Integrate and manage event-driven systems using Apache Kafka
 </li>
 <li>
 Optimize application performance through JVM tuning, caching strategies, profiling, and latency reduction
 </li>
 <li>
 Optimize database/SQL performance through indexing strategies, query tuning, and EXPLAIN plan analysis
 </li>
 <li>
 Manage and optimize scalable distributed systems in the cloud (AWS)
 </li>
 <li>
 Design and implement serverless solutions (AWS Lambda, API Gateway, Step Functions)
 </li>
 <li>
 Utilize scripting languages (Python, Node.js) for tooling, automation, and auxiliary services
 </li>
 <li>
 Participate in on-call rotations and production incident resolution
 </li>
 <li>
 Conduct code reviews and mentor less-experienced engineers
 </li>
 <li>
 Communicate regularly with the engineering manager, QA teams, and other developers regarding progress on the technology roadmap
 </li>
 <li>
 Leverage AI-assisted development tools to accelerate coding, debugging, testing, and documentation workflows
 </li>
 <li>
 Drive automation using AI across the software lifecycle &mdash; design, development, testing, support, log analysis, and ticket summarization
 </li>
 <li>
 Produce quality code, raising the bar for team performance and speed
 </li>
 <li>
 Write code and tests, build prototypes, resolve issues, and profile and analyze bottlenecks
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Required Skills and Qualifications
 
 
 
 <ul>
 <li>
 Advanced proficiency in Java 17+ with modern features (records, sealed types, streams, var)
 </li>
 <li>
 Expert-level Spring Boot knowledge (auto-configuration, profiles, configuration properties)
 </li>
 <li>
 Advanced REST API design skills (versioning, idempotency, error contracts, HATEOAS)
 </li>
 <li>
 Strong microservices architecture experience (bounded contexts, sagas, decomposition)
 </li>
 <li>
 Advanced security expertise (OAuth2, JWT, OWASP, secure coding, vulnerability management)
 </li>
 <li>
 Solid understanding of concurrency and threading (Executors, CompletableFuture, locking)
 </li>
 <li>
 Experience with event-driven architectures using Apache Kafka
 </li>
 <li>
 Performance optimization skills (JVM tuning, caching, profiling, latency reduction)
 </li>
 <li>
 Experience with AI security and governance (data privacy, prompt injection awareness, safe AI usage)
 </li>
 <li>
 Growth mindset that challenges the status quo and focuses on continuous improvement
 
 
 </li>
 </ul>
 
 Technical Competencies/Skills
 
 
 
 <ul>
 <li>
 Core: Java 17+, Spring Boot, Spring Data JPA, Spring Security
 </li>
 <li>
 API: RESTful APIs, OpenAPI/Swagger, API versioning and integration patterns
 </li>
 <li>
 Messaging: Apache Kafka (producers, consumers, schema registry)
 </li>
 <li>
 Data: PostgreSQL, SQL (indexing, EXPLAIN plans, migrations)
 </li>
 <li>
 Caching: Redis (cache-aside, TTL, invalidation) &mdash; nice to have
 </li>
 <li>
 Resilience: Resilience4j, circuit breakers, retries, fallbacks, bulkheads
 </li>
 <li>
 DevOps: Docker (multi-stage builds)
 </li>
 <li>
 CI/CD: GitLab CI (pipeline-as-code, security scans)
 </li>
 <li>
 Cloud: AWS or other cloud platforms (compute, IAM, networking, secrets management)
 </li>
 <li>
 Testing: JUnit 5, Mockito (unit tests, slice tests, parameterized tests)
 </li>
 <li>
 Observability: Prometheus, Grafana, OpenTelemetry, structured logging
 </li>
 <li>
 AI Tools: GitHub Copilot, Amazon Q, prompt engineering, LLM API integration, AI-augmented testing
 </li>
 <li>
 Strong analytical and problem-solving aptitude
 
 
 </li>
 </ul>
 
 Education
 
 
 
 <ul>
 <li>
 BS in Engineering or Computer Science
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 At least 5+ years of professional experience building backend services in Java
 </li>
 <li>
 Proven track record designing and operating production microservices at scale
 </li>
 <li>
 Experience with distributed systems, eventual consistency, and fault tolerance
 </li>
 <li>
 Experience with Agile/Scrum practices (sprint planning, estimation, retrospectives)
 
 
 </li>
 </ul>
 
 Licenses and Certifications
 
 
 
 <ul>
 <li>
 AWS or cloud platform certification (preferred, not mandatory)
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Social insurance
 </li>
 <li>
 Health insurance for employee and family
 </li>
 <li>
 The company will contribute up to EUR 25 per month towards staff perks
 </li>
 <li>
 Benefit from our performance-based bonus scheme, in line with company policy
 </li>
 <li>
 EUR equivalent salaries paid in EGP
 </li>
 </ul>
</div>

Senior Backend Engineer

<div>
 
 Overview
 
 
 
 We empower clients to overcome accounting and financial reporting challenges by delivering innovative technology solutions. As part of our Data &amp; AI team in the AI Hub, you will help drive analytics, decision-making, and innovation, contributing to a more agile and efficient finance function. By fostering outstanding leadership and teamwork, we fulfil our commitment to stakeholders and play a pivotal role in building a better working world for our people, clients, and communities.
 
 
 
 The Opportunity
 
 
 
 We are seeking a Senior AI Software Engineer to join our AI Hub, where we rapidly deliver prototypes, proof-of-concepts (PoCs), and minimum viable products (MVPs), as well as delivering production‑grade solutions that bring AI use cases to life. This role demands expertise across both front-end and back-end development, supporting the creation of dynamic AI-driven products such as GenAI-enabled web applications, use case marketplaces, and diagnostic tools. You will be responsible for designing, building, and optimizing end-to-end solutions, translating business requirements into robust, scalable, secure, and accessible web experiences suitable for enterprise production environments.
 
 
 Core Requirements
 
 
 <ul>
 <li>
 5+ years of professional experience delivering enterprise-grade software solutions across backend and frontend systems.
 </li>
 <li>
 Strong hands-on experience building secure, scalable, and maintainable APIs using Python and Node.js, with frameworks such as FastAPI and Fastify.
 </li>
 <li>
 Solid frontend engineering experience with TypeScript, React, and Next.js, following enterprise UI and accessibility standards.
 </li>
 <li>
 Proven experience containerizing, deploying, and operating applications in production using Docker and Kubernetes, with a strong understanding of reliability and scalability.
 </li>
 <li>
 Experience designing, implementing, and maintaining CI/CD pipelines using Jenkins, GitHub Actions, or Azure DevOps, with automated testing and quality gates.
 </li>
 <li>
 Hands-on experience deploying and operating production workloads on Microsoft Azure, including services such as AKS, Azure Container Apps, Azure Container Registry, and related platform services.
 </li>
 <li>
 Strong understanding and application of software engineering best practices, including SOLID principles, clean architecture, and common enterprise design patterns.
 </li>
 <li>
 Experience working with relational databases such as MS SQL Server and PostgreSQL, including schema design, query optimization, and transactional consistency.
 </li>
 <li>
 Practical experience with vector databases (e.g., Chroma, Milvus, Pinecone) and pgvector, including building and operating Retrieval Augmented Generation (RAG) pipelines in production environments.
 </li>
 <li>
 Ability to collaborate effectively in cross-functional enterprise teams, including product, architecture, security, and cloud/platform teams.
 </li>
 <li>
 Experience working with LLMs and AI platforms, such as Azure OpenAI, OpenAI APIs, or similar enterprise AI services.
 </li>
 <li>
 Familiarity with LLM orchestration frameworks such as LangChain, Semantic Kernel, or equivalent.
 </li>
 <li>
 hands-on experience using AI coding assistants (Claude Code, OpenAI Codex,..etc)
 </li>
 <li>
 Strong documentation skills and experience contributing to architecture decisions, technical standards, and internal best practices.
 </li>
 <li>
 Prior experience mentoring junior engineers or contributing to engineering excellence initiatives.
 
 
 </li>
 </ul>
 Nice to Have
 
 
 <ul>
 <li>
 Exposure to MLOps or AI platform operations, including model lifecycle management, monitoring, and observability.
 </li>
 <li>
 Experience with event-driven or distributed architecture (e.g., message queues, service buses, async processing).
 </li>
 <li>
 Knowledge of observability and monitoring tools (e.g., Azure Monitor, Application Insights, Prometheus, Grafana).
 </li>
 <li>
 Experience working in regulated or compliance-driven environments (e.g., financial services, audit).
 </li>
 <li>
 Familiarity with infrastructure-as-code tools such as Terraform, Bicep, or ARM templates.
 
 
 </li>
 </ul>
 What We Look For
 
 
 We are seeking ambitious builders who excel at transforming ambiguity into impactful digital solutions. You are passionate about AI-driven products, comfortable with rapid prototyping, and motivated by delivering market-relevant, client-centric applications that generate tangible value.
 
 
 What We Offer
 
 
 <ul>
 <li>
 Competitive compensation package, performance-based rewards, and recognition for your contributions.
 </li>
 <li>
 Continuous learning and world-class professional development opportunities.
 </li>
 <li>
 Flexible work arrangements to empower your impact.
 </li>
 <li>
 Coaching, mentorship, and transformative leadership experiences.
 </li>
 <li>
 A diverse, inclusive, and collaborative culture.
 
 
 </li>
 </ul>
 If you meet the above criteria, we encourage you to apply and become part of the exceptional EY experience, where you can shape your future and help us build a better working world.
</div>

Senior Consultant - AI Software Engineer- AI Hub - Cairo

Arrow Electronics

<div>
 
 Position
 
 
 
 Data Scientist / Senior Machine Learning Engineer
 
 
 
 Job Description
 
 
 
 
 Position Overview:
 
 
 
 As Data Scientist / Senior Machine Learning Engineer at Arrow Electronics, you will assume a pivotal role in driving our data science and machine learning initiatives to reach unprecedented heights. Collaborating closely with cross-functional multinational teams, your responsibilities will encompass the end-to-end machine learning lifecycle, including stakeholder communications, data analysis, designing, development, deployment, and optimization of cutting-edge models aimed at addressing intricate challenges and generating actionable insights. Your expertise in data analysis, model development, and deployment will be crucial in shaping the future of our company.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains.
 </li>
 <li>
 Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns.
 </li>
 <li>
 Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results.
 </li>
 <li>
 Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency.
 </li>
 <li>
 Cross-functional Collaboration: Collaborate closely with business stakeholders, software engineers, data engineers, and domain experts to integrate machine learning solutions into our products and services.
 </li>
 <li>
 Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth.
 </li>
 <li>
 Research and Innovation: Stay up-to-date with the latest advancements in the field of data science and machine learning and apply innovative techniques to solve complex challenges.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Proven experience (2 to 5 years) in developing and deploying machine learning models in a production environment.
 </li>
 <li>
 Proficiency in programming languages, especially Python, and experience with data-related libraries such as pandas, matplotlib, NumPy, etc.
 </li>
 <li>
 Strong knowledge of machine learning frameworks and libraries.
 </li>
 <li>
 Expertise in data preprocessing, feature engineering, and model selection.
 </li>
 <li>
 Familiarity with large language models and AI agent design.
 </li>
 <li>
 Experience with text-based NLP, information extraction, entity recognition, and text-related data science tasks is highly desirable.
 </li>
 <li>
 Strong communication skills and the ability to convey technical concepts to non-technical stakeholders.
 </li>
 <li>
 Experience with vectorized databases and unstructured search engines is a plus.
 </li>
 <li>
 A Master&rsquo;s degree in computer science, Statistics, Data Science, or a related field is a plus.
 </li>
 <li>
 Publications or contributions to open-source projects are a plus.
 
 
 </li>
 </ul>
 If you are a passionate and experienced Data Scientist / Senior Machine Learning Engineer who thrives on solving challenging problems and wants to make a significant impact in the field, we encourage you to apply and join our dynamic team at Arrow Electronics Together, we will drive innovation and shape the future of data science and machine learning.
 
 
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Data Scientist / Senior Machine Learning Engineer

Coca-Cola HBC

<div>
 
 
 Department:
 
 Data Insights &amp; Automation, Digital &amp; Technology Platform Services.
 
 
 
 Location:
 
 Cairo, Egypt.
 
 
 
 
 
 We are looking for a highly skilled and experienced
 
 Azure Data Engineer
 
 with significant technical skills in Azure and strong business acumen to join our team in Coca-Cola Hellenic Digital &amp; Technology Platform Services (DTPS) and be part of the Data Platforms team. You will have the opportunity to contribute to the strategy, design and development of our Enterprise and Operational Reporting, providing insights and supporting decision making for end users.
 
 
 The role involves significant collaboration with business and IT teams, opportunity to integrate and transform data from various data systems into structures that are suitable for building analytical solutions, design, develop and implement Azure-based solutions connecting certified and validated data sources to Power BI front-end visualizations - creating a single source of truth for reporting across CCH.
 
 
 
 
 
 
 YOUR KEY RESPONSIBILITIES:
 
 
 
 &bull; Design, build, and maintain scalable ELT/ETL pipelines using Azure Data Factory, ensuring reliability and performance at terabyte scale.
 
 
 &bull; Contribute to end-to-end pipeline health: monitoring, alerting, incident response, and continuous improvement.
 
 
 &bull; Identify and resolve bottlenecks across ingestion, transformation, and serving layers; drive measurable performance gains.
 
 
 &bull; Implement and extend existing medallion architecture patterns.
 
 
 &bull; Develop data ingestion processes from multiple sources, ensuring accuracy, completeness, and consistency.
 
 
 &bull; Support the migration from SAP BW, ensuring data continuity and quality throughout.
 
 
 &bull; Ensure data integrity and availability through appropriate storage solutions, partitioning strategies, and access controls.
 
 
 &bull; Work independently on clearly scoped tasks, communicating progress and blockers regularly with your team.
 
 
 &bull; Collaborate with data scientists, BI analysts, and business stakeholders to understand requirements and translate them into technical solutions.
 
 
 &bull; Participate in agile ceremonies, contribute to sprint planning, and own your backlog items end-to-end.
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 
 &bull; Bachelor's degree in Information Technology, Computer Science, or related field.
 
 
 &bull; 3+ years of experience in data engineering with hands-on exposure to Azure (Azure Data Factory, Azure Data Lake Storage, Fabric).
 
 
 &bull; Proven experience designing and building production-grade data pipelines that handle large volumes of data reliably.
 
 
 &bull; Strong SQL skills and experience with data modelling, schema design, and query optimization.
 
 
 &bull; Hands-on experience with Databricks (PySpark / Spark SQL) for large-scale data transformation.
 
 
 &bull; Working proficiency in Python; exposure to Scala or C#/.NET is a plus.
 
 
 &bull; Understanding of data warehouse and lakehouse concepts.
 
 
 &bull; Ability to manage your own tasks within a defined sprint scope and deliver consistently.
 
 
 &bull; Good communication skills - able to translate technical concepts for business stakeholders and vice versa.
 
 
 &bull; Excellent problem-solving and debugging skills.
 
 
 &bull; Excellent spoken and written English
 
 
 &bull; Communication, organizational and analytical skills
 
 
 
 Preferred Qualifications:
 
 
 
 &bull; Exposure to real-time or near-real-time streaming concepts (Azure Event Hubs, Apache Kafka, or Spark Streaming).
 
 
 &bull; Basic experience with CI/CD practices, Git version control, and familiarity with Azure DevOps.
 
 
 &bull; Familiarity with infrastructure-as-code concepts (Terraform) is a bonus.
 
 
 &bull; Awareness of SAP BW data structures and export mechanisms; prior migration experience is not expected.
 
 
 &bull; Some exposure to big data technologies such as Hadoop, Spark, or Hive.
 
 
 &bull; Curious, problem-solving mindset - comfortable digging into issues with support from senior teammates.
 
 
 &bull; Exposure to Power BI or DAX for understanding how data is consumed downstream.
 
 
 
 
 
 
 ABOUT YOUR NEW TEAM:
 
 
 
 We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
 
 
 We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
 
 
 We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.
 
 
 And although we have so much to be proud of, we always stay humble. We believe the real magic happens &ndash; for us and for you &ndash; when we OPEN UP.
 
 
 
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
 
 
 
 At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.
 
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Azure Data Engineer

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