accountant – accounts receivable (junior)

data analyst

data engineer

data scientist

devops engineer, gisacc

frontend developer

senior data developer

Integrant, Inc.

<div>
 
 We Are Hiring!
 
 
 Integrant is looking for game changers to join our team as "Senior Data Scientist" with below roles and responsibilities:
 
 
 
 
 <ul>
 <li>
 Use mathematics, statistics and computer science to extract knowledge and insights from structured, semi-structured and unstructured data in order to assist our clientele to make better data driven decisions.
 </li>
 <li>
 Conduct open research when necessary to develop new algorithms and methods to address specific needs a client might have to which no known algorithms or methods could suffice as a solution.
 </li>
 <li>
 Engage in activities of requirement elicitation with our clientele in regards to potential data science workloads.
 </li>
 <li>
 Mentor junior members on the team in data science.
 </li>
 <li>
 Deliver machine learning models to clients and contribute in knowledge transfer.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 4+ years of experience with Data Science workloads.
 </li>
 <li>
 MSc in Computer Science or other equivalent quantitative field.
 </li>
 <li>
 Familiarity with classification, clustering, regression and association rule mining.
 </li>
 <li>
 Familiarity with one or more standard open source machine learning frameworks (Sklearn, Tensorflow, Keras, etc.).
 </li>
 <li>
 Familiarity with Azure Cognitive Services and Azure ML.
 </li>
 <li>
 Familiarity with AWS SageMaker.
 </li>
 <li>
 Experience with deploying models to production.
 </li>
 <li>
 Experience with monitoring models post production and detecting concept drift.
 </li>
 <li>
 Familiarity with Deep Learning.
 </li>
 <li>
 Extensive experience with Python.
 </li>
 <li>
 Familiarity with conducting open scientific research.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Familiarity with Re-enforcement Learning.
 </li>
 <li>
 Familiarity with Stochastic Local Search Methods.
 </li>
 <li>
 Familiarity with MLOps on Azure.
 </li>
 <li>
 Familiarity with MLOps on AWS.
 </li>
 <li>
 Familiarity with building data pipelines on Azure.
 </li>
 <li>
 Familiarity with building data pipelines on AWS.
 </li>
 <li>
 Familiarity with single and multi-objective optimization techniques
 </li>
 </ul>
 
 
 
 
 
 Benefits
 
 
 <ul>
 <li>
 Salary paid in USD
 </li>
 <li>
 Six-month career advancing opportunities
 </li>
 <li>
 Employee parking space
 </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>
 Opportunity to travel and work onsite with U.S. customers
 </li>
 <li>
 In-house Technical and English training programs
 </li>
 <li>
 Dedicated learning time (check out our 4Plus1 Program)
 </li>
 <li>
 Flexible work schedules
 </li>
 <li>
 Perks: events, sponsored lunch, game area, rooftop hangout + more!
 </li>
 </ul>
</div>

Senior Data Scientist

Procore Technologies

<div>
 
 Job Ad
 
 
 
 We're looking for a
 
 Senior Software Engineer - Data
 
 to join the Graph &amp; Insights team within Procore's Construction Intelligence division. In this role, you'll build and scale the data platform that transforms construction project data into connected, queryable knowledge &mdash; enabling teams across Procore to surface insights, identify risks, and make smarter decisions.
 
 
 As a
 
 Senior Software Engineer - Data
 
 , you&rsquo;ll partner with other engineers, data scientists, and product managers across Product &amp; Technology to design and evolve the data architectures that power our "Helix AI" ecosystem. A core part of this role is focusing on
 
 data modeling, graph-based relationships, and high-throughput processing
 
 , ensuring that our construction intelligence tools are both performant and deeply insightful.
 
 
 This position reports to the Engineering Manager for Construction Intelligence and will be based in our
 
 Cairo office
 
 . We&rsquo;re looking for someone to join us immediately.
 
 
 What you&rsquo;ll do:
 
 
 <ul>
 <li>
 Create scalable data pipelines and microservices using a variety of technologies such as Java, Flink, Kafka, and Airflow.
 </li>
 <li>
 Participate in designing and building systems that are aligned with Procore&rsquo;s technical vision of a service-oriented architecture.
 </li>
 <li>
 Design and maintain graph data models and relationship-based architectures to provide a unified view of construction data.
 </li>
 <li>
 Work up and down the stack to ship code for our microservices and Flink jobs, and dive deep into the database layer to handle complex relational and graph querying needs.
 </li>
 <li>
 Implement and maintain algorithms and techniques to reduce data redundancy.
 </li>
 <li>
 Work in building applications using LLMs and GAIs.
 </li>
 <li>
 Monitor, analyze, and optimize the performance of our data pipelines and graph platforms.
 </li>
 <li>
 Maintain and evolve our data platforms to have clear domain boundaries and a coherent public interface, in alignment with Procore's technical vision.
 </li>
 <li>
 Mentor junior engineers within the team, providing guidance and support.
 </li>
 <li>
 Work with other engineers and stakeholders to ensure the success of our platforms.
 </li>
 <li>
 Collaborate with Engineering, Product, and UX to design and build solutions that delight users and solve critical business problems.
 
 
 </li>
 </ul>
 What we&rsquo;re looking for:
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Engineering, or a related field.
 </li>
 <li>
 5+ years of experience in Object Oriented Programming fundamentals, Test Driven Development, and Design principles.
 </li>
 <li>
 Strong experience building and optimizing data pipelines, architectures, and datasets, with a focus on both real-time streaming and batch processing using Spark or Flink.
 </li>
 <li>
 Professional experience working with Graph Technologies (such as Neo4j or similar) and writing optimized relationship-based queries.
 </li>
 <li>
 Strong understanding of software and data engineering principles and practices.
 </li>
 <li>
 Experience with a variety of data technologies, including Apache Flink, Apache Kafka, GraphQL, REST APIs, DynamoDB, Elastic Search, MongoDB, and Graph Databases.
 </li>
 <li>
 Experience with running services on Kubernetes and familiarity with Helm charts and Terraform.
 </li>
 <li>
 Experience in cloud environments like AWS, GCP, or Azure.
 </li>
 <li>
 Experience with data deduplication algorithms and techniques.
 </li>
 <li>
 Experience with deploying machine learning and statistical modeling.
 </li>
 <li>
 Excellent problem-solving, communication, and teamwork skills.
 </li>
 <li>
 Familiarity with Python, Java, and PHP for general scripting and software development.
 </li>
 <li>
 Experience with using Large Language Models for building applications is a plus.
 </li>
 </ul>
</div>

Senior Software Engineer - Data

Valify Solutions

<div>
 
 Role Description
 
 
 
 This is a full-time hybrid role for a Senior Frontend Developer ReactJS at Valify Solutions. The Senior Frontend Developer will be responsible for back-end and front-end web development, responsive web design, and software development. This role will involve collaborating with the team while also having the flexibility for some remote work.
 
 
 
 What You&rsquo;ll Do As a ReactJS Developer
 
 
 
 <ul>
 <li>
 Develop and maintain responsive web and mobile applications integrated with a Python backend.
 </li>
 <li>
 Build interactive, scalable dashboards for data visualization and management.
 </li>
 <li>
 Collaborate with the design and backend teams to deliver seamless user experiences.
 </li>
 <li>
 Optimize application performance for smooth user interaction
 </li>
 </ul>
</div>

Frontend Developer

Coca-Cola HBC

<div>
 
 
 Department:
 
 Data Insights &amp; Artificial Intelligence, Digital &amp; Technology Platform Services
 
 
 
 
 
 We are looking for a
 
 Senior Data Scientist
 
 who combines strong hands-on expertise with the ability to lead and scale analytics solutions in a complex, multi-market environment. In this role, you will take ownership of delivering advanced analytics solutions, generating actionable insights and driving tangible business impact, with a strong focus in the route-to-market and commercial effectiveness areas. You will work closely with business stakeholders, translating ambiguous problems into scalable data products deployed across 29 markets. Beyond individual contribution, you will play a key role in shaping our data science practices and, over time, lead and mentor a small team of data scientists, ensuring high standards in both technical delivery and business impact. This is a high-impact role suited for someone who can independently drive complex problems end-to-end and balance deep technical execution with evolving leadership responsibilities.
 
 
 
 
 
 
 YOUR NEW KEY RESPONSIBILITIES:
 
 
 <ul>
 <li>
 Collaborate extensively with business stakeholders to deeply understand challenges and identify opportunities.
 </li>
 <li>
 Own the end-to-end delivery of advanced analytics and machine learning solutions, from problem framing to production deployment and continuous improvement, working within Agile/SAFe ways of working.
 </li>
 <li>
 Develop and implement machine learning and statistical models to extract insights, predict trends, and provide actionable recommendations.
 </li>
 <li>
 Analyze large and complex datasets to identify opportunities to enhance existing solutions and develop new ones.
 </li>
 <li>
 Lead the development of proof-of-concept solutions and ensure their scalability across multiple markets.
 </li>
 <li>
 Work closely with cross-functional teams, including data engineers and business experts, to ensure robust, scalable, and production-ready solutions.
 </li>
 <li>
 Proactively identify opportunities to improve existing solutions and propose new data-driven initiatives that deliver measurable business value.
 </li>
 <li>
 Contribute to building and scaling a high-performing data science team, acting as a technical reference point, driving best practices, and supporting the development of other data scientists.
 </li>
 </ul>
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 <ul>
 <li>
 5+ years of hands-on experience in data science or advanced analytics roles, with a strong track record of delivering production-grade solutions
 </li>
 <li>
 Strong proficiency in Python and PySpark, with the ability robust, well-structured, and efficient code that balances readability and performance
 </li>
 <li>
 Solid understanding of machine learning, statistical modeling, and experimentation, with the ability to apply the right approach to real-world business problems
 </li>
 <li>
 Experience working with large-scale datasets and distributed data processing, as well as cloud-based data platforms (preferably Azure &amp; Databricks)
 </li>
 <li>
 Proven experience in owning projects end-to-end, from business understanding to deployment and impact measurement
 </li>
 <li>
 Demonstrated ability to build scalable solutions that go beyond one-off analyses or prototypes
 </li>
 <li>
 Strong problem-solving skills, with the ability to identify opportunities to enhance existing solutions and propose new data-driven strategies
 </li>
 <li>
 Ability to manage multiple projects simultaneously, prioritize effectively, and collaborate effectively with other team members and external vendors
 </li>
 <li>
 Ability to balance hands-on technical work with leadership responsibilities, with experience in leading and guiding other data scientists
 </li>
 <li>
 Excellent collaboration, communication and presentation skills, with the ability effectively interact and influence stakeholders, translating technical concepts into analytical approaches and business impact
 </li>
 <li>
 Experience in CPG, retail, or commercial analytics (e.g. route-to-market, assortment) is a strong advantage
 </li>
 <li>
 BSc or MSc, in Computer Science, Data Science, Statistics, Engineering or a related quantitative field
 </li>
 </ul>
 
 
 
 
 
 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, 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>

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

<div>
 
 Job Ad
 
 
 
 We&rsquo;re looking for a
 
 Senior Software Engineer Evangelist
 
 to join Procore&rsquo;s Infrastructure Platform division to work on our commercial initiatives. In this role, you&rsquo;ll help build and evangelize Procore&rsquo;s next-generation construction compute platform for others to build upon, including Procore developers, analysts, partners, and customers.
 
 
 As a
 
 Senior Software Engineer Evangelist
 
 , you&rsquo;ll partner with other engineers and product managers across Product &amp; Technology to develop and maintain compute platform capabilities that enable SaaS based products to operate in a secure and compliant environment. A core part of this role is focusing on internal developer enablement, ensuring a seamless platform experience, and evangelizing platform features and best practices. To be successful in this role, you&rsquo;re passionate about distributed systems on the cloud with experience in operating and maintaining cloud based products at-scale. If you&rsquo;re an engineer comfortable and excited about building our next-generation platform and translating problems into pragmatic solutions that open up the boundaries of technical possibilities&mdash;we&rsquo;d love to hear from you!
 
 
 This position reports to the Enablement Manager for Infrastructure Platform and will be based in our Cairo office. We&rsquo;re looking for someone to join us immediately.
 
 
 What you&rsquo;ll do:
 
 
 <ul>
 <li>
 Participate in the design and implementation of our next-generation platform for the construction industry, primarily focused on building and supporting distributed systems, internal developer experience, and ease of adoption.
 </li>
 <li>
 Act as a platform evangelist, creating documentation, leading training sessions, and sharing best practices to enable internal engineering teams to utilize platform features effectively.
 </li>
 <li>
 Drive and support the engineering team in all phases of the software development lifecycle, ensuring platform stability, observability, and compliance.
 </li>
 <li>
 Help identify and propose solutions for technical gaps in our platform by running proof of concepts and experiments, with a keen eye on the latest advancements in the Kubernetes ecosystem.
 </li>
 <li>
 Work alongside our Product, UX, and IT teams, leveraging your expertise to influence our product roadmap and deliver innovative solutions that enhance developer productivity.
 </li>
 <li>
 Stay up to date with the latest platform and Kubernetes technology trends, and advocate for their adoption where appropriate.
 
 
 </li>
 </ul>
 What we&rsquo;re looking for:
 
 
 <ul>
 <li>
 Experience maintaining application services in kubernetes clusters.
 </li>
 <li>
 Experience provisioning and operating cloud native tools at scale.
 </li>
 <li>
 2+ years of experience as a CKD.
 </li>
 <li>
 4+ years of experience operating cloud-based, highly available, distributed, and scalable systems with large amounts of data.
 </li>
 <li>
 Experience and proficiency in composing and maintaining kubernetes manifests, such as Helm and Kustomize.
 </li>
 <li>
 Experience and proficiency in managing infrastructure as code, such as Terraform.
 </li>
 <li>
 Experience in advising development and customized automation for CI/CD pipelines and building container images.
 </li>
 <li>
 Experience with AWS (RDS, EC2, S3, IAM etc.)
 </li>
 <li>
 Proven ability to lead technical enablement initiatives, mentor engineers, and drive the adoption of new platform features.
 </li>
 </ul>
</div>

Senior Software Engineer Evangelist - Infrastructure Platform

Capgemini

<div>
 
 About Capgemini
 
 
 
 Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of &euro;22.1 billion.
 
 
 
 Job Responsibities
 
 
 
 
 Machine Learning &amp; AI Solutions
 
 
 
 <ul>
 <li>
 Design and implement Agentic AI solutions and applications.
 </li>
 <li>
 Experience in Data Science, Data Mining, Machine Learning tasks (e.g. feature engineering, model training, evaluation, and deployment).
 </li>
 <li>
 Monitor model performance and implement retraining strategies to ensure long-term accuracy and relevance.
 
 
 </li>
 </ul>
 
 Cloud &amp; Data Engineering
 
 
 
 <ul>
 <li>
 Collaborate with data engineers to ensure robust data preprocessing, transformation, and storage strategies.
 
 
 </li>
 </ul>
 
 MLOps &amp; Automation
 
 
 
 <ul>
 <li>
 Familiarity with CI/CD pipelines tailored for ML workflows, including automated testing, model versioning, and deployment.
 
 
 </li>
 </ul>
 
 Collaboration &amp; Innovation
 
 
 
 <ul>
 <li>
 Work closely with cross-functional teams including data scientists, product managers, and business stakeholders to translate business needs into technical solutions.
 </li>
 <li>
 Contribute to knowledge sharing and best practices across the team.
 
 
 </li>
 </ul>
 
 Job Requirements
 
 
 
 
 Technical Skills:
 
 
 
 <ul>
 <li>
 Strong proficiency in python, data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and agentic application development libraries (e.g. LangChain, LangGraph).
 </li>
 <li>
 Strong command of SQL and experience with large-scale data processing tools (e.g., Spark, Pandas).
 </li>
 <li>
 Familiarity with cloud platforms (Azure, AWS, GCP) and their ML services.
 </li>
 <li>
 Familiarity with MLOps practices, including CI/CD, containerization (Docker), and orchestration (Kubernetes).
 </li>
 <li>
 Familiarity with Git and collaborative development workflows.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 2-5 years of experience in solving real-world business problems using AI
 </li>
 <li>
 Proven track record of deploying and maintaining ML models in production environments.
 
 
 </li>
 </ul>
 
 Communication Skills
 
 
 
 <ul>
 <li>
 Excellent written and verbal communication skills to collaborate effectively with cross-functional teams.
 </li>
 <li>
 Fluent in Arabic &amp; English, both spoken and written (German is a plus!)
 </li>
 <li>
 Able to listen to and understand customer needs and articulate them as technical requirements to the team.
 
 
 </li>
 </ul>
 
 Additional Skills
 
 
 
 <ul>
 <li>
 Strong problem-solving abilities and attention to detail.
 </li>
 <li>
 Ability to work collaboratively in a team environment.
 </li>
 <li>
 Self-motivated with a continuous learning mindset.
 </li>
 </ul>
</div>

Data Scientist (Machine Learning Engineer)

Explore 324+ Senior data developer in Cairo this April. Find roles across top companies and apply now to boost your career.

324 senior data developer jobs In Cairo

Senior Data Scientist

Senior Software Engineer - Data

Frontend Developer

Senior Data Scientist

SENIOR DATA ENGINEER

Senior Software Engineer Evangelist - Infrastructure Platform

Data Scientist (Machine Learning Engineer)