data engineer

senior data scientist

ai data engineer, ai4all

data analyst

senior data analyst

big data engineer

Nawy

<div>
 Nawy Proptech is in search of a highly motivated and talented Data Engineer to become a valuable addition to our dynamic team. As a Data Engineer at Nawy, you will play a key role in data management, ensuring data quality, integrity, and modeling. We are seeking an individual with a strong technical background, hands-on experience with data processing technologies, and a passion for building robust and efficient data solutions.
 
 
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 Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and design appropriate solutions
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 Work closely with IT and infrastructure teams to deploy and maintain data storage and processing systems, including databases, data warehouses, and cloud infrastructure
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 Design, build, and maintain robust, scalable data pipelines to ingest, process, and transform data from various sources, including internal databases and external APIs
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 Optimize data pipelines for performance, scalability, and reliability, ensuring timely and accurate delivery of data
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 Implement data validation and quality checks to identify and rectify any issues in data pipelines, ensuring data integrity
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 Explore and evaluate new technologies, tools, and frameworks to improve data engineering processes and capabilities
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 Perform data modeling and schema design to support analytical and reporting requirements
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 Design and build data marts and business layers to facilitate efficient data access and analysis
 
 
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 </ul>
 
 Requirements
 
 
 
 <ul>
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 Bachelor's degree in Computer Science, Information Systems, or other related technical field or equivalent work
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 Proven experience as a Data engineer or similar role, with at least 1 years of experience
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 Advanced SQL knowledge/experience - complex queries and query optimization
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 Proficiency in programming languages such as Python
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 Experienced in the development of data warehouses and proficient in data modeling
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 Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform
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 Experience in building data streams using technologies such as Kafka, Flink, or Spark Streaming is considered a plus
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 Strong problem-solving skills and attention to detail
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 The ability and willingness to learn new technologies on the job
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 Self driven, highly motivated, fast learner, ambitious and creative
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 </ul>
</div>

Data Engineer

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
 
 
 
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 Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains.
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 Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns.
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 Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results.
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 Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency.
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 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.
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 Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth.
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 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.
 
 
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 </ul>
 
 Qualifications
 
 
 
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 Proven experience (2 to 5 years) in developing and deploying machine learning models in a production environment.
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 Proficiency in programming languages, especially Python, and experience with data-related libraries such as pandas, matplotlib, NumPy, etc.
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 Strong knowledge of machine learning frameworks and libraries.
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 Expertise in data preprocessing, feature engineering, and model selection.
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 Familiarity with large language models and AI agent design.
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 Experience with text-based NLP, information extraction, entity recognition, and text-related data science tasks is highly desirable.
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 Strong communication skills and the ability to convey technical concepts to non-technical stakeholders.
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 Experience with vectorized databases and unstructured search engines is a plus.
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 A Master&rsquo;s degree in computer science, Statistics, Data Science, or a related field is a plus.
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 Publications or contributions to open-source projects are a plus.
 
 
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 </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

Valleysoft | Center of Excellence

<div>
 Valleysoft is a regional IT services provider delivering enterprise technology and business process solutions for clients globally. Working across the Information Technology and Services sector, the company supports organizations with the systems, platforms, and data capabilities they need to operate effectively and make better decisions.
 
 
 In this role, you will help shape enterprise data architecture for complex client environments, supporting the design of scalable information assets, stronger governance practices, and more effective use of data across the business. The position plays a central part in connecting architecture, analytics, and operational data needs while partnering closely with technical teams and business stakeholders.
 
 
 
 Responsibilities
 
 
 
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 Build the bank enterprise architecture tool and maintain enterprise architecture artifacts
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 Maintain and develop data collection, storage, and transfer systems used by the project team
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 Support the development of advanced data analytics products
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 Define data architecture and select data collection, storage, and analysis technologies
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 Monitor data availability, completeness, and quality, including the integration of internal and external data sources and the use of analytical tools
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 Manage and approve the list of Critical Data Elements (CDEs), including guiding domains on prioritization
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 Lead business and technical metadata management activities
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 Establish, monitor, and enforce business processes and standards for metadata management and compliance
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 Provide technical support to IT teams on data architecture, logical data models, and data strategy across the bank's systems and applications
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 Define and maintain logical data models and information assets
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 Provide templates for structuring business metadata, including business definitions, security and access levels, and data quality rules, as well as technical metadata such as physical data elements and data lineage
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 Approve changes to metadata and manage new metadata demand
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 Approve business definitions and data lineage developed by domains
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 Define metadata standards and ensure compliance
 
 
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 </ul>
 
 Requirements
 
 
 
 Bachelor's degree in Computer Science, Engineering, or Mathematics.
 
 
 Eligible to work in Egypt.
 
 
 Expertise in database systems, including SQL and NoSQL databases such as MongoDB or Cassandra.
 
 
 Strong knowledge of data warehousing solutions such as Snowflake or Amazon Redshift.
 
 
 Experience with data modeling, data architecture design, and schema development.
 
 
 Proficiency in ETL/ELT tools and processes.
 
 
 Familiarity with cloud platforms such as AWS, Azure, or GCP.
 
 
 Knowledge of big data technologies, including Hadoop or Spark.
 
 
 
 Experience
 
 
 
 Minimum of 3 years of experience designing and developing complex, high-quality analytical solutions.
 
 
 3+ years of experience in data platform implementation and data architecture.
 
 
 7+ years of experience in technical and IT roles.
 
 
 Proven experience designing and implementing data architectures.
 
 
 Experience working with data governance, data quality, and data security.
 
 
 Past experience involving data strategy, data integration, and data infrastructure development.
 
 
 Experience working with business domain owners, enterprise architecture teams, IT leadership, and senior banking stakeholders.
 
 
 
 Soft Skills
 
 
 
 Strong analytical and problem-solving skills.
 
 
 Ability to communicate complex data concepts to non-technical stakeholders.
 
 
 Leadership and project management capabilities.
 
 
 Background in banking or financial services is preferred.
 
 
 Familiarity with metadata governance and data lineage is a plus.
 
 
 Familiarity with enterprise architecture tooling is a plus.
 
 
 TOGAF certification or a similar enterprise architecture certification is preferred.
</div>

Data Architect

OneCard

<div>
 
 We are looking for an experienced and enthusiastic Senior DevOps Engineer. As our new Senior DevOps Engineer, you will be incharge of the specification and documentation of the new project features. In addition, you will be developing new features and writing scripts for automation using Python/Java/Bash.
 
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 
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 Utilize various open source technologies
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 Use various tools to orchestrate solutions
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 Build independent web based tools, microservices and solutions
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 Write scripts and automation using Python/Java/Bash
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 Configure andmanage data sources like MySQL, Elasticsearch,Redis , etc
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 Understand how various systems work
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 Understand how IT operations are managed
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 Manage kubernetes based environment in a production high availability setup
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 Manage source control including SVN and GIT
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 </ul>
 
 
 
 
 
 
 Job Requirements
 
 
 
 
 
 
 
 &bull; Bachelor&rsquo;s Degreeor MS in Engineering or equivalent
 
 
 &bull; 6+ years of experience in managing Linux based infrastructure
 
 
 &bull; 6+ years of hands-on experience at least in one scripting language
 
 
 &bull; 6+ years of hands-on experience with databases including MySQL, Elasticsearch , Redis
 
 
 &bull; Knowledge of Java/JVM basedlanguages
 
 
 &bull; hands-on experience with managing cloud providers AWS , GCP , huaweicloud
 
 
 &bull; hands-on experience with managing docker , kubernetes based environment
 
 
 &bull; hands-on experience with implementing and managing CICD pipeline tools teamcity /jenkins
 
 
 &bull; Ansible and terraform knowledge is a huge plus
 
 
 &bull; Sense of ownership and pride in your performance and its impact on company&rsquo;s success
 
 
 &bull; Critical thinker and problem-solving skills
 
 
 &bull; Team player
 
 
 &bull; Good time-management skills
 
 
 &bull; Interpersonal and communication skills
 
 
 
</div>

Senior DevOps Engineer

Valeo

<div>
 
 Responsibilities
 
 
 
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 Deploy and maintain secure cloud infrastructure primarily on GCP (Google Cloud Platform) and AWS, ensuring seamless integration between services.
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 Manage and optimize GKE (Google Kubernetes Engine) clusters for high-availability AI applications and microservices.
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 Infrastructure as Code: Build and enforce Terraform strategies to provision and manage infrastructure, ensuring environments are reproducible and version-controlled.
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 CI/CD &amp; Software Verification: Design and implement advanced CI/CD workflows using GitHub Actions, moving beyond simple deployments to create intelligent automation.
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 Build robust verification pipelines that include automated testing, linting, security scanning, and quality gates before production release.
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 Streamline the release process for backend and frontend applications, ensuring "one-click" reliability.
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 Oversee the deployment, maintenance, and backup strategies for databases.
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 Implement comprehensive monitoring and logging solutions (Prometheus, Grafana, Cloud Ops, Cloud Monitoring) to ensure system health, performance, and rapid incident response.
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 Implement security best practices (IAM, VPC configuration, encryption) to protect sensitive AI data and intellectual property.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 
 Education &amp; Experience
 
 
 
 
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 B.Sc. or M.Sc. in Computer Science, Computer Engineering, or a related technical field.
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 5+ years of relevant experience in DevOps, Cloud Engineering, or Site Reliability Engineering (SRE).
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 Proven experience acting as a Senior or Lead engineer, guiding architectural decisions.
 
 
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 </ul>
 
 
 Technical Requirements
 
 
 
 
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 Advanced hands-on experience with GCP (specifically GKE, VPC, IAM) and a working knowledge of AWS.
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 Proven ability to design and implement robust, scalable, and secure cloud architectures.
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 Mastery of Docker and Kubernetes administration.
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 Strong proficiency in Terraform.
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 Expert knowledge of GitHub Actions for building, test, build, and deploy pipelines.
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 Experience managing PostgreSQL and ClickHouse databases.
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 Deep understanding of Linux System Administration.
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 Experience with AI/ML lifecycle tools (e.g., Kubeflow, MLflow, Vertex AI).
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 Strong proficiency in Python and Bash scripting.
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 Familiarity with DevSecOps tools and practices.
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 Bonus: Official GCP Certifications (e.g., Professional Cloud Architect, Professional Cloud DevOps Engineer) and Kubernetes Certifications (e.g., CKA, CKAD, CKS) are highly preferred.
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 Bonus: Knowledge of Javascript/Node.js is a strong plus.
 
 
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 </ul>
 
 
 Soft Skills &amp; Mindset
 
 
 
 
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 Ability to design long-term solutions rather than quick fixes.
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 Excellent ability to explain complex cloud concepts to Data Scientists and business stakeholders.
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 Comfortable working in a fast-paced environment with evolving requirements.
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 Fluent English is a must.
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 </ul>
</div>

Senior DevOps Engineer, AI4ALL

Future Group Language Solutions

<div>
 
 About The Role
 
 
 
 We are looking for an
 
 Applied AI Engineer
 
 to design, build, and deploy intelligent AI solutions that solve real business challenges. In this role, you'll work with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), GraphRAG, AI agents, and knowledge graphs to create scalable, production-ready AI applications.
 
 
 This is an
 
 AI-first engineering role
 
 , where leveraging AI development tools such as ChatGPT, Cursor, GitHub Copilot, Claude, or Windsurf is an essential part of the development workflow.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy AI-powered applications using LLMs.
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 Build and optimize RAG and GraphRAG pipelines.
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 Develop AI agents and multi-agent workflows for business automation.
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 Design and manage knowledge graphs using GraphDB technologies.
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 Integrate enterprise data sources with AI applications.
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 Engineer prompts, workflows, and agent orchestration for reliable AI systems.
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 Evaluate and optimize AI models for quality, latency, scalability, and cost.
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 Build production-ready APIs and AI services.
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 Collaborate with cross-functional teams to deliver AI-driven products.
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 Stay up to date with the latest AI models, frameworks, and best practices.
 
 
 
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 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Software Engineering, AI, or a related field.
 </li>
 <li>
 3+ years of experience developing AI-powered or data-intensive applications.
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 Strong proficiency in Python.
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 Hands-on experience with LLMs (OpenAI, Azure OpenAI, Anthropic, Gemini, or similar).
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 Experience implementing Retrieval-Augmented Generation (RAG).
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 Experience with Graph Databases such as Neo4j, Amazon Neptune, Memgraph, or GraphDB.
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 Familiarity with vector databases such as Pinecone, Qdrant, Weaviate, Milvus, or pgvector.
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 Experience integrating AI models through APIs and SDKs.
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 Solid understanding of REST APIs, Git, Docker, and cloud platforms (Azure, AWS, or GCP).
 </li>
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 Strong analytical, debugging, and problem-solving skills.
 
 
 
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 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
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 Experience with GraphRAG architectures.
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 Knowledge of AI agent frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or OpenAI Agents SDK.
 </li>
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 Experience with Model Context Protocol (MCP).
 </li>
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 Prompt engineering and AI evaluation frameworks.
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 Knowledge of semantic search and hybrid retrieval.
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 Experience with FastAPI, Django, or Flask.
 </li>
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 Familiarity with Kubernetes, CI/CD pipelines, and microservices.
 </li>
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 Experience building knowledge graphs and ontology design.
 
 
 
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 </ul>
 What We Offer
 
 
 <ul>
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 Opportunity to build cutting-edge AI products.
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 Collaborative and innovative engineering environment.
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 Exposure to the latest AI technologies and frameworks.
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 Professional growth and continuous learning opportunities.
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 Competitive salary and benefits package.
 
 
 
 </li>
 </ul>
 Join Our Team
 
 
 If you're passionate about building practical AI applications, enjoy working with the latest AI technologies, and thrive in an AI-first development environment, we'd love to hear from you!
</div>

Applied AI Engineer (AI-First / Vibe Coding)

Confidential

<div>
 
 
 
 Role Objectives
 
 
 
 
 As a Software Mobile Engineer III specialized in React Native, you'll collaborate with cross functional teams to define, design, and deliver new features, integrating external data sources and APIs. You'll contribute to feature development aligned with the product roadmap, demonstrate leadership in project architecture and code quality, and adhere to coding best practices and agile methodologies. Your role entails implementing user stories with modern design and coding standards.
 
 
 
 
 
 
 
 Roles &amp; Responsibilities:
 
 
 
 
 
 
 <ul>
 <li>
 Collaborate with cross-functional teams to define, design, and ship new features.
 </li>
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 Work with outside data sources and API.
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 Help in developing new features following our product roadmap.
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 Exercise leadership in project architecture &amp; code quality.
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 Follow coding best-practices.
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 Follow agile/continuous integration engineering best practices.
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 Implement user stories using modern design and coding best practices.
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 </ul>
 
 
 
 
 
 
 REQUIRED EDUCATION, KNOWLEDGE, AND SKILLS
 
 
 
 
 
 
 
 Must have a Bachelor's degree, preferably in Computer Science or Engineering.
 
 
 3+ years experience developing react native mobile apps.
 
 
 Experience with JavaScript and TypeScript.
 
 
 Good experience with Redux.
 
 
 Experience with iOS/Android native development is a plus.
 
 
 Experience with crash reporting and application logging solutions.
 
 
 Experience integrating with third-party libraries and APIs.
 
 
 Shipped production quality Android applications.
 
 
 Solid understanding of the full mobile development lifecycle.
 
 
 Understanding of analytics.
 
 
 Solid understanding of Gitflow.
 
 
 Experience with GraphQL is a plus.
 
 
 Experience with e-commerce/fintech/supply chain business is a plus.
 
</div>

Software Mobile Engineer III - RN

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