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senior data developer

Coca-Cola HBC

<div>
 
 
 Department:
 
 Digital Factory, Digital &amp; Technology Platform Services.
 
 
 
 Location:
 
 Egypt, Cairo.
 
 
 
 
 
 We are looking for a highly skilled and experienced
 
 Senior Data Developer (Azure)
 
 with
 
 significant technical skills in Azure and business acumen
 
 to join our team in Coca-Cola Hellenic Digital &amp; Technology Platform Services (DTPS) and be part of the BI Reporting 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 &amp; 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 and creating a single source of truth for reporting in CCH.
 
 
 
 
 
 
 YOUR KEY RESPONSIBILITIES:
 
 
 
 &bull; Assist in the design, development, and maintenance of ETL (Extract, Transform, Load) processes using Azure Data Factory
 
 
 &bull; Implement data ingestion processes from various data sources into Azure data storage solutions.
 
 
 &bull; Work with Azure SQL Database, Azure Data Lake Storage, and Hive &amp; Databricks to store and manage large datasets (Terabytes of data)
 
 
 &bull; Ensure data integrity and availability by implementing appropriate storage solutions
 
 
 &bull; Integrate data from various sources, ensuring accuracy, completeness, and consistency
 
 
 &bull; Collaborate with data scientists and analysts to understand data requirements and provide necessary support
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 
 &bull; Bachelor's or Master&rsquo;s degree in computer science, information technology, data science, or a related field (or an equivalent of 7+ years of practical experience in a tech-domain)
 
 
 &bull; Master&rsquo;s degree in computer science, information technology, data science, or a related field (or an equivalent of 7+ years of practical experience in a tech-domain)
 
 
 &bull; Hands-on experience with MS Power BI, MS PowerApps, MS Azure Data Factory, MS Azure Data Lake Store, SQL Database (T-SQL), DAX &amp; Power Query M (3+ years)
 
 
 &bull; Proven track record of implementing proof-of-concept (POC) backend solutions
 
 
 &bull; Expert knowledge with cloud platforms (Azure, Google Cloud Storage, Amazon), preferably Microsoft Azure &ndash; with a focus on data warehousing &amp; backend development
 
 
 &bull; Strong programming skills in languages such as C#, .NET, Python, Scala or Java
 
 
 &bull; Experience with big data architectures and large data volumes technologies (partitioned tables with billions of records, files with hundreds of GBs)
 
 
 &bull; Familiarity with big data technologies such as Hadoop, Spark, and Hive as well as strong knowledge with data manipulation frameworks such a PySpark
 
 
 &bull; Experience with big data architectures and large data volumes technologies (partitioned tables with billions of records, files with hundreds of GBs) are a plus
 
 
 &bull; First proven leadership capabilities towards junior employees and a proactive approach to project management is a plus
 
 
 &bull; Strong analytical &amp; problem-solving abilities, as well as good communication skills
 
 
 &bull; Strong willingness to learn and adapt to new technologies and tools
 
 
 &bull; Good proficiency in English as a day-to-day business language is a must.
 
 
 
 
 
 
 Preferred qualifications:
 
 
 
 &bull; Strong hands-on understanding of data modelling concepts and techniques as well as DevSecOps concepts and tools and practical experience in their implementation
 
 
 &bull; Strong understanding of DevOps principles and experience with CI/CD pipelines
 
 
 &bull; Working experience within the SAFE Agile framework is appreciated
 
 
 &bull; Knowledge of SAP BW (extractors, transformations, queries, data export) and Azure Data Sources would be appreciated
 
 
 
 
 
 
 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.
 
</div>

Senior Data Developer (Azure)

Integrant, Inc.

<div>
 
 We Are Hiring!
 
 
 Integrant is seeking talented individuals to join our team as a "Senior Data Scientist." As a senior member of our Data Science team, you will contribute to the development and deployment of advanced data models and algorithms to solve complex business problems. You will work closely with clients to understand their requirements and deliver data-driven insights to drive strategic decision-making.
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Apply statistical and machine learning techniques to analyze structured and unstructured data.
 </li>
 <li>
 Develop and implement predictive models, recommendation systems, and other data products.
 </li>
 <li>
 Work on the exploration and implementation of generative AI techniques to develop innovative applications that enhance business processes and customer experiences.
 </li>
 <li>
 Collaborate with cross-functional teams to identify opportunities and provide data-driven solutions.
 </li>
 <li>
 Present insights and findings to clients in a clear and actionable manner.
 </li>
 <li>
 Mentor and guide junior team members in data science methodologies and best practices.
 </li>
 <li>
 Stay updated with the latest advancements in data science and machine learning fields.
 </li>
 
 
 </ul>
 
 Requirements
 
 
 
 <ul>
 <ul>
 <li>
 4+ years of experience in data science or related field.
 </li>
 <li>
 Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field is a nice to have.
 </li>
 <li>
 Strong programming skills in Python and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy).
 </li>
 <li>
 Proficient in applying machine learning techniques and algorithms (e.g., decision trees, random forests, SVMs, KNNs).
 </li>
 <li>
 Deep understanding of basic and advanced neural network architectures.
 </li>
 <li>
 Hands on experience with deep learning frameworks (e.g., pytorch, tensorflow, keras).
 </li>
 <li>
 Experience with data visualization and storytelling tools (e.g., Tableau, Power BI).
 </li>
 <li>
 Knowledge of SQL and database systems to extract and manipulate data.
 </li>
 <li>
 Good knowledge about LLMs, RAG and agents.
 </li>
 <li>
 Good to have: Hands on experience in building applications on top of GenAI as Chatbots.
 </li>
 <li>
 Excellent problem-solving and analytical skills.
 </li>
 <li>
 Strong communication and presentation skills.
 </li>
 <li>
 Ability to work independently and collaboratively in a fast-paced environment.
 </li>
 <li>
 Experience with cloud technologies (e.g., Azure, AWS) is a plus.
 </li>
 <li>
 &NoBreak;Knowledge of data platforms such as Databricks, Snowflake, or similar is a plus.
 
 
 </li>
 </ul>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Salary paid in USD
 </li>
 <li>
 Six-month career advancing opportunities
 </li>
 <li>
 Supportive and friendly work environment
 </li>
 <li>
 Premium medical insurance [employee +family]
 </li>
 <li>
 English language development courses
 </li>
 <li>
 Interest-free loans paid over 2.5 years
 </li>
 <li>
 Technical development courses
 </li>
 <li>
 Planned overtime program (POP)
 </li>
 <li>
 Employment referral program
 </li>
 <li>
 Premium location in Maadi &amp; Nasr City
 </li>
 <li>
 Social insurance
 </li>
 <li>
 In-house Technical and English training programs
 </li>
 <li>
 Flexible work schedules
 </li>
 <li>
 Perks: events, sponsored lunch, game area, rooftop hangout + more!
 </li>
 </ul>
</div>

Senior Data Scientist

Envision Employment Solutions

<div>
 
 
 Envision Employment Solutions
 
 is currently hiring a
 
 Senior Data Scientist
 
 for one of our partners, a global leader in IT Services and IT Consulting.
 
 
 
 
 
 
 
 
 
 Job Summary:
 
 
 
 We are seeking a highly experienced Senior Data Scientist to design, build, and deploy advanced machine learning and NLP solutions, including large language model applications. The ideal candidate has strong production experience, deep expertise in transformer-based architectures, and a proven ability to lead technical initiatives from research to deployment.
 
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 Machine Learning &amp; NLP Development
 
 
 <ul>
 <li>
 Design and develop end-to-end machine learning models, with a strong focus on NLP applications
 </li>
 <li>
 Fine-tune and deploy large language models such as GPT, BERT, and LLaMA for specific use cases
 </li>
 <li>
 Build, train, and evaluate deep learning models using TensorFlow, PyTorch, or Keras
 </li>
 <li>
 Implement Retrieval-Augmented Generation (RAG) and embedding-based semantic search solutions
 </li>
 <li>
 Develop and optimize transformer-based models for summarization, Q&amp;A, and document intelligence tasks
 </li>
 <li>
 Evaluate and optimize prompt engineering strategies and context efficiency
 </li>
 </ul>
 
 
 
 
 
 Data
 
 
 Engineering
 
 &amp; Pipelines
 
 <ul>
 <li>
 Develop data pipelines using tools such as Airflow, Spark, or Dataiku
 </li>
 <li>
 Perform data wrangling and preprocessing using pandas and NumPy
 </li>
 <li>
 Design and manage feature stores
 </li>
 <li>
 Integrate and manage vector databases such as Pinecone, FAISS, or Chroma
 </li>
 </ul>
 
 
 
 
 
 Model Deployment &amp; Production
 
 
 <ul>
 <li>
 Build and maintain RESTful APIs for serving ML models in production
 </li>
 <li>
 Deploy scalable AI services and manage CI/CD pipelines
 </li>
 <li>
 Monitor model performance, drift detection, and lifecycle management
 </li>
 <li>
 Conduct A/B testing, ensemble blending, and apply explainability techniques such as SHAP and LIME
 </li>
 </ul>
 
 
 
 
 
 Statistical &amp; Analytical Expertise
 
 
 <ul>
 <li>
 Apply advanced statistics, probability theory, and experimental design
 </li>
 <li>
 Conduct hypothesis testing and data-driven analysis to support business decisions
 </li>
 </ul>
 
 
 
 
 
 Collaboration &amp; Integration
 
 
 <ul>
 <li>
 Work closely with product and engineering teams to embed AI solutions into production systems
 </li>
 <li>
 Collaborate with cross-functional stakeholders to deliver scalable AI capabilities
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirements
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Artificial Intelligence, Computer Science, or related field
 </li>
 <li>
 Minimum 4 years of experience in machine learning and data science roles
 </li>
 <li>
 Proven track record of delivering production-grade ML and NLP projects
 </li>
 <li>
 Experience leading small data science teams or technical workstreams
 </li>
 </ul>
 
 
 
 
 
 Technical Requirements
 
 
 <ul>
 <li>
 Strong programming skills in Python and R
 </li>
 <li>
 Proficiency in ML libraries including Scikit-learn, pandas, and NumPy
 </li>
 <li>
 Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras
 </li>
 <li>
 Hands-on experience with NLP libraries including NLTK, spaCy, TextBlob, and Hugging Face Transformers
 </li>
 <li>
 Strong expertise in transformer architectures and LLM fine-tuning
 </li>
 <li>
 Experience using LangChain or LlamaIndex for orchestration
 </li>
 <li>
 Experience deploying ML models via RESTful APIs
 </li>
 <li>
 Knowledge of model monitoring, explainability, and performance optimization
 </li>
 </ul>
 
 
 
 
 
 Leadership and Soft Skills
 
 
 <ul>
 <li>
 Ability to lead small teams or project workstreams
 </li>
 <li>
 Strong ownership mindset with focus on quality and delivery timelines
 </li>
 <li>
 Ensures alignment of technical work with business KPIs
 </li>
 <li>
 Coaches and mentors mid-level team members
 </li>
 <li>
 Strong problem-solving and collaboration skills
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Benefits &amp; Work Setup
 
 
 <ul>
 <li>
 Basic salary
 </li>
 <li>
 Social insurance
 </li>
 <li>
 Family Medical Insurance (AXA)
 </li>
 <li>
 
 Location:
 
 New Cairo
 </li>
 <li>
 
 Work Model:
 
 Hybrid &ndash; 2 days in the office and 3 days remote. If assigned to a project, you may be required to work from the client&rsquo;s premises on a daily basis, depending on the project requirements.
 </li>
 <li>
 
 Working Hours:
 
 9 AM to 6 PM
 </li>
 <li>
 
 Days Off:
 
 Fridays and Saturday
 </li>
 </ul>
</div>

<div>
 
 
 Location:
 
 New Cairo, Egypt
 
 
 
 Department:
 
 Data Science &amp; AI
 
 
 
 Role reports to:
 
 Data Science &amp; AI Manager
 
 
 
 Contract Type:
 
 Permanent
 
 
 
 Work Model:
 
 Hybrid (4 days from office)
 
 
 
 
 
 
 
 
 We are seeking a seasoned and self-organizing Senior Data Scientist to join our Data Science in Digital Commerce team. This role is ideal for someone who combines deep technical expertise with strategic thinking and a strong sense of initiative. You will be expected to proactively drive progress, anticipate project needs, and ensure that analytical work is not only technically sound but also aligned with business priorities and customer impact. The role requires someone who naturally engages across teams and stakeholders, contributing to a collaborative and outcome-oriented environment.
 
 
 
 
 
 
 IN THIS EXCITING ROLE YOU WILL:
 
 
 
 
 
 
 &bull; Lead the development and deployment of advanced analytics and traditional machine learning solutions, working hands-on, as proof-of-concept and in production environments.
 
 
 &bull; Manage sub-project workflows independently, identifying next steps and ensuring timely execution at feature level.
 
 
 &bull; Collaborate with cross-functional teams to translate complex analytical findings into clear, actionable recommendations for both technical and non-technical audiences.
 
 
 &bull; Stay current with emerging technologies, with a particular focus on Generative AI and its practical applications.
 
 
 &bull; Deliver scalable, maintainable solutions that support customer and business needs.
 
 
 &bull; Lead a small team of data scientists, while collaborating with internal engineering team
 
 
 &bull; Have opportunities for professional training and certifications as well as mentorship.
 
 
 
 
 
 
 YOU CAN BE SUCCESFULL IN THIS ROLE IF YOU HAVE:
 
 
 
 
 
 
 &bull; MSc or PhD in Data Science, Engineering or a related field.
 
 
 &bull; A mindset geared toward ownership, communication, initiative, and continuous improvement.
 
 
 &bull; Interest in gaining domain specific knowledge concerning the business model of Coca Cola Hellenic.
 
 
 &bull; Minimum 5 years of experience in data science roles, with a strong track record of delivering analytics solutions (propensity modeling, forecasting, optimization) both as proof-of-concept and in production.
 
 
 &bull; Team leadership and ideally people management experience of at least one year.
 
 
 &bull; Proficiency in Python/Pyspark, SQL and ML libraries, and ideally certification(s) in Databricks or Azure, as well as experience with PowerBI. Other cloud services are also acceptable.
 
 
 &bull; Concrete experience in SAFe-agile as way of working, as well as DevOps/MLOps in development.
 
 
 &bull; Strong, self-driven exposure in GenAI. Familiarity with Microsoft Copilot Studio and Foundry will be appreciated.
 
 
 &bull; Great communication skills and the ability to engage with both technical and business stakeholders.
 
 
 &bull; Functional experience in the Digital area (such as Marketplaces, B2C apps, e-Retailers) is a plus.
 
 
 
 
 
 
 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 - for us and for you - when we OPEN UP.
 
 
 
 
 
 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.
 
</div>

Atos

<div>
 
 About Atos
 
 
 
 Atos is a global leader in digital transformation with c. 78,000 employees and annual revenue of c. &euro; 10 billion. European number one in cybersecurity, cloud and high-performance computing, the Group provides tailored end-to-end solutions for all industries in 68 countries. A pioneer in decarbonization services and products, Atos is committed to a secure and decarbonized digital for its clients. Atos is a SE (Societas Europaea) and listed on Euronext Paris.
 
 
 The purpose of Atos is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.
 
 
 
 Senior Data Engineer
 
 
 
 We are looking for a talented Data Engineer to join our team and play a pivotal role in transforming our data ecosystem. The ideal candidate will have extensive experience in handling data from diverse business areas and managing data sources from a range of commercial and custom tools. They should be proficient in data engineering technologies, including Snowflake, Talend (or similar ETL tools), and bring expertise in Python, dbt, and Airflow. Familiarity with API integrations and experience with Tableau or other data visualization tools would be an advantage.In this role, you will also work directly with business stakeholders, running workshops to gather requirements and convert them into actionable data solutions. Experience working in an agile environment is essential.
 
 
 
 Responsibilities
 
 
 
 Design, develop, and maintain ETL pipelines to extract, transform, and load data from various sources into our data warehouse.
 
 
 Collaborate with Data Analytics Product Owner and business stakeholders to understand data requirements and offer recommendations to improve data collection, processing, and analysis.
 
 
 Build and maintain data models to enable efficient SQL-based reporting and analysis.
 
 
 Implement data workflows and transformations using dbt, and orchestrate data pipelines with Airflow.
 
 
 Develop and maintain data integrations via APIs where necessary.
 
 
 Monitor, troubleshoot, and optimize data pipeline performance to ensure data accuracy, reliability, and availability.
 
 
 Collaborate with data engineers, data scientists, and analysts to develop data-driven solutions that drive business outcomes.
 
 
 
 Requirements
 
 
 
 Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field.
 
 
 5+ years of experience in data engineering.
 
 
 Proficiency with data management tools like Snowflake, Talend, or similar ETL tools.
 
 
 Strong experience with Python, dbt, and Airflow.
 
 
 Solid understanding of SQL and database design.
 
 
 Knowledge of API integrations.
 
 
 Experience with Tableau or other data visualization tools (nice to have).
 
 
 Demonstrated ability to work independently and within a collaborative team environment.
 
 
 Strong analytical and problem-solving skills.
 
 
 Excellent communication and interpersonal skills.
 
 
 English fluency is required; proficiency in French is a plus.
 
 
 Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.
 
 
 Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment.
 
 
 
 Choose your future. Choose Atos.
 
</div>

SENIOR DATA ENGINEER

Arrow Components

<div>
 
 Position
 
 
 
 Senior Java Software Engineer
 
 
 
 Job Description
 
 
 
 
 Senior Java Software Engineer
 
 
 
 
 Job Summary
 
 
 
 We are looking for a Senior Java Software Engineer to build, enhance, and maintain scalable backend systems. You will work across the software development lifecycle, contribute to solution design, and deliver reliable, high-quality software that directly impacts business outcomes.
 
 
 This role focuses on strong Java engineering fundamentals, with exposure to modern cloud, DevOps, data, and AI-enabled integrations.
 
 
 
 Core Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain Java-based backend services across multiple releases.
 </li>
 <li>
 Implement new features, handle change requests, and resolve production defects.
 </li>
 <li>
 Estimate tasks accurately and deliver within agreed timelines.
 </li>
 <li>
 Write clean, maintainable, and well-documented code following clean code principles.
 </li>
 <li>
 Debug and troubleshoot complex issues to identify root causes efficiently.
 </li>
 <li>
 Write unit tests using JUnit and follow test-driven development (TDD) practices.
 </li>
 <li>
 Participate in solution and technical design discussions, applying appropriate design patterns.
 </li>
 <li>
 Develop and maintain RESTful APIs.
 </li>
 <li>
 Collaborate closely with team members and cross-functional teams (QA, DevOps).
 </li>
 <li>
 Contribute to CI/CD pipelines and deployment processes using existing DevOps tooling.
 </li>
 <li>
 Continuously learn and adopt new technologies relevant to backend engineering.
 
 
 </li>
 </ul>
 
 DevOps &amp; Deployment (Expected Exposure, Not Ownership)
 
 
 
 <ul>
 <li>
 Work with Docker-based deployments across different environments.
 </li>
 <li>
 Integrate applications into existing CI/CD pipelines (Jenkins, Kubernetes).
 </li>
 <li>
 Support smooth releases and environment stability in collaboration with DevOps teams.
 
 
 </li>
 </ul>
 
 Security &amp; Quality
 
 
 
 <ul>
 <li>
 Apply secure coding practices and follow OWASP Top 10 guidelines.
 </li>
 <li>
 Implement authentication and authorization using JWT / OAuth2.
 </li>
 <li>
 Ensure high code quality through reviews, testing, and automation.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 
 Experience &amp; Education
 
 
 
 <ul>
 <li>
 5+ years of professional experience in Java software development.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science or equivalent practical experience.
 
 
 </li>
 </ul>
 
 Core Technical Skills (Must-Have)
 
 
 
 <ul>
 <li>
 Java: Java 17 or Java 21
 </li>
 <li>
 Spring Ecosystem: Spring, Spring Boot, Spring Data, Spring Security, Spring Cloud
 </li>
 <li>
 Architecture: OOP principles, design patterns, clean code
 </li>
 <li>
 Databases: Oracle or MySQL, database design, ERD
 </li>
 <li>
 ORM: JPA / Hibernate
 </li>
 <li>
 Testing: JUnit and unit testing practices
 </li>
 <li>
 APIs: RESTful web services
 </li>
 <li>
 Messaging: Apache Kafka
 </li>
 <li>
 Build &amp; Version Control: Maven, Git
 </li>
 <li>
 Developer Productivity Tools: Windsurf
 </li>
 <li>
 Experience integrating Generative AI or LLM APIs into backend systems.
 </li>
 <li>
 Interest in applying AI to improve automation, data processing, or developer productivity is highly valued.
 
 
 </li>
 </ul>
 
 Nice-to-Have
 
 
 
 
 
 (Experience in these areas is a plus, not a requirement)
 
 
 
 
 <ul>
 <li>
 Search &amp; Indexing: Elasticsearch
 </li>
 <li>
 Monitoring &amp; Observability: Prometheus, Grafana
 </li>
 <li>
 Big Data: Apache Spark.
 </li>
 <li>
 Cloud Platforms: AWS
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Opportunity to work on impactful systems with real business value.
 </li>
 <li>
 Exposure to modern backend architecture, cloud-native tools, and AI-enabled solutions.
 </li>
 <li>
 Collaborative engineering culture with strong technical ownership.
 </li>
 <li>
 Continuous learning and professional growth.
 
 
 </li>
 </ul>
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Senior Java Software Engineer

International Turnkey Systems - ITS

<div>
 
 
 We're Hiring: Senior Full Stack Developer
 
 
 
 We are seeking a talented
 
 Senior Full Stack Developer
 
 to join our dynamic team
 
 
 
 
 
 
 📌 Requirements:
 
 
 <ul>
 <li>
 
 Minimum 5 years of experience as a Full Stack Developer.
 
 </li>
 <li>
 Proficiency in the following technologies:
 </li>
 <li>
 
 .NET Core
 
 </li>
 <li>
 
 Web APIs
 
 </li>
 <li>
 
 C#
 
 </li>
 <li>
 
 Entity Framework Core
 
 </li>
 <li>
 
 JavaScript, TypeScript, and React
 
 </li>
 <li>
 
 SQL Server Database Engine
 
 </li>
 </ul>
 
 
 
 
 
 🔍 Key Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and maintain scalable web applications.
 </li>
 <li>
 Collaborate with cross-functional teams to define, design, and ship new features.
 </li>
 <li>
 Troubleshoot and optimize existing applications.
 </li>
 <li>
 Write clean, maintainable code and ensure best practices are followed
 </li>
 </ul>
 
 
</div>

Senior Full Stack Engineer

Explore 857+ Senior data developer in Cairo this March. Find roles across top companies and apply now to boost your career.

857 senior data developer jobs In Cairo

Senior Data Developer (Azure)

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

SENIOR DATA ENGINEER

Senior Java Software Engineer

Senior Full Stack Engineer