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cloud & identity security engineer

cloud data engineer

Valeo

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

Senior Google Cloud Data Engineer, Valeo Service

<div>
 Valeo est une entreprise mondiale de haute technologie qui con&ccedil;oit des solutions r&eacute;volutionnaires pour r&eacute;inventer la mobilit&eacute;. Nous sommes un &eacute;quipementier partenaire des constructeurs automobiles et des acteurs de la nouvelle mobilit&eacute; dans le monde entier. Notre vision ? Inventer une mobilit&eacute; plus verte et plus s&ucirc;re, gr&acirc;ce &agrave; des solutions ax&eacute;es sur la conduite intuitive et la r&eacute;duction des &eacute;missions de CO2. Nous sommes leaders dans nos domaines d'activit&eacute; et reconnus comme l'une des plus grandes entreprises innovantes au monde.
 
 
 <ul>
 <li>
 Responsibilities
 </li>
 <ul>
 <li>
 Participate in Analytics projects in GCP
 </li>
 <li>
 Design, build, and optimize scalable data pipelines for ingestion, processing, and validation.
 </li>
 <li>
 Monitor and optimize cloud environments for performance, security, and cost efficiency.
 </li>
 <li>
 Manage and configure GCP resources such as BigQuery, Cloud Functions, Cloud Storage, and other GCP services. .
 </li>
 <li>
 Ensure data quality and validation across the analytics ecosystem.
 </li>
 <li>
 Implement cloud security best practices and ensure compliance with industry standards.
 </li>
 <li>
 Collaborate with cross-functional teams to integrate data from multiple sources and improve data flows.
 </li>
 <li>
 Explore and experiment with new use cases in Data Analytics, Data Engineering, and AI.
 </li>
 <li>
 Troubleshoot and resolve cloud and data pipeline issues to improve system reliability.
 </li>
 <li>
 Provide insights and recommendations for cloud cost optimization and resource management.
 </li>
 <li>
 Collect, analyze, and align business requirements with stakeholders for data-driven solutions.
 </li>
 <li>
 Develop and maintain clear documentation for data processes, cloud architecture, and best practices.
 
 </li>
 </ul>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Education/Training
 </li>
 <li>
 BSc degree in computer engineering, computer science or any similar technical field of study
 </li>
 <li>
 Languages
 </li>
 <li>
 Excellent command of English language is a must (Written and Verbal)
 </li>
 <li>
 French fluency is a plus.
 
 
 </li>
 </ul>
 
 Position~
 
 
 
 Business Applications Analyst
 
 
 
 D&eacute;partement~
 
 
 
 IS SSC
 
 
 
 Schedule~
 
 
 
 Temps plein
 
 
 
 Employee Status~
 
 
 
 CDI
 
 
 
 Type de contrat~
 
 
 
 
 Job Posting Date~
 
 
 
 2026-02-08
 
 
 
 Join Us !
 
 
 Being part of our team, you will join~
 
 
 <ul>
 <li>
 one of the largest global innovative companies, with more than 20,000 engineers working in Research &amp; Development
 </li>
 <li>
 a multi-cultural environment that values diversity and international collaboration
 </li>
 <li>
 more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
 </li>
 <li>
 a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development
 
 
 </li>
 </ul>
 More information on Valeo~ https~//www.valeo.com
 
</div>

HireOn

<div>
 
 Senior Data Engineer
 
 
 
 
 Location:
 
 Cairo, Egypt (Onsite)
 
 
 
 Experience:
 
 8&ndash;12 Years
 
 
 
 Employment Type:
 
 Full-Time
 
 
 
 Salary Range:
 
 80,000 EGP &ndash; 160,000 EGP per month
 
 
 
 The Opportunity
 
 
 
 HireOn is recruiting for its reputed international client seeking a
 
 Senior Data Engineer
 
 to lead the architecture and delivery of enterprise-grade data platforms.
 
 
 This role goes beyond pipeline development &mdash; it requires ownership of scalable architecture, performance optimization, governance, and cross-functional collaboration. The ideal candidate is a hands-on senior engineer capable of designing robust cloud-native data ecosystems while mentoring engineers and driving technical standards.
 
 
 
 What You Will Own
 
 
 
 <ul>
 <li>
 End-to-end design of batch and real-time data pipelines
 </li>
 <li>
 Enterprise data warehouse architecture and modeling strategy
 </li>
 <li>
 Workflow orchestration and automation frameworks
 </li>
 <li>
 Performance tuning and cost optimization initiatives
 </li>
 <li>
 Data governance, cataloging, and access control frameworks
 </li>
 <li>
 Monitoring, logging, and observability implementation
 </li>
 <li>
 Technical mentorship and architecture reviews
 
 
 </li>
 </ul>
 
 Technical Environment
 
 
 
 You will work extensively with modern cloud-native data technologies including:
 
 
 AWS Glue, Amazon EMR (Spark), AWS Lambda, Apache Airflow (MWAA), Amazon Redshift, Amazon S3, Amazon DynamoDB, Amazon EC2, Amazon CloudWatch, AWS DataZone
 
 
 
 Core Expertise Required In
 
 
 
 Python, Advanced SQL, Data Warehousing (Star/Snowflake), ETL/ELT best practices, Distributed Data Processing Systems
 
 
 
 What Makes You a Strong Fit
 
 
 
 <ul>
 <li>
 8&ndash;12 years of experience in Data Engineering
 </li>
 <li>
 Strong experience designing scalable cloud-based data architectures
 </li>
 <li>
 Proven ability to independently drive technical solutions
 </li>
 <li>
 Experience mentoring engineers and contributing to architectural decisions
 </li>
 <li>
 Strong communication skills for cross-functional collaboration
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Cloud Professional Certifications
 </li>
 <li>
 Experience with streaming platforms (Kinesis/Kafka)
 </li>
 <li>
 Exposure to metadata management and data lineage
 </li>
 <li>
 Experience working with enterprise-scale data platforms
 
 
 </li>
 </ul>
 Skills: aws glue,etl,amazon redshift,aws lambda,aws emr,snowflake
</div>

Senior Data Engineer (Onsite | Cairo, Egypt)

Oscar

<div>
 
 
 Cairo, Egypt (Hybrid - 4 days onsite)
 
 
 
 
 650,000 EGP - 1,400,000 EGP base salary (DOE)
 
 
 
 
 Full-time | Permanent
 
 
 
 
 ( + Transportation Allowance + Strong benefits package)
 
 
 
 
 
 
 
 
 About the Company
 
 
 
 
 
 
 
 We have partnered with a large, internationally recognised manufacturing, distribution, and sales organisation operating across multiple global markets. With a strong focus on digital transformation, data-driven decision making, and modern cloud platforms, they are investing heavily in enterprise analytics, reporting, and scalable data solutions that support both operational and strategic outcomes.
 
 
 
 
 
 
 
 The Role
 
 
 
 
 
 
 
 The organisation is seeking an experienced
 
 Senior Azure Data Engineer / Developer
 
 to join its Digital &amp; Technology function, working closely with BI and Reporting teams. This role plays a critical part in designing, building, and optimising Azure-based data pipelines and analytical solutions that serve as a single source of truth for enterprise and operational reporting.
 
 
 The successful candidate will collaborate with business stakeholders, analysts, and engineers to integrate and transform data from multiple systems into high-quality, trusted datasets that power Power BI dashboards and analytics products.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and maintain
 
 ETL pipelines
 
 using
 
 Azure Data Factory
 
 </li>
 <li>
 Ingest and transform data from multiple source systems into
 
 Azure Data Lake Storage
 
 and
 
 Azure SQL
 
 </li>
 <li>
 Work with large-scale datasets (terabytes of data, partitioned tables, high-volume files)
 </li>
 <li>
 Build and optimise data solutions using
 
 Databricks, Spark, Hive
 
 , and
 
 PySpark
 
 </li>
 <li>
 Ensure data quality, integrity, availability, and performance across reporting layers
 </li>
 <li>
 Support BI teams by delivering certified datasets for
 
 Power BI
 
 consumption
 </li>
 <li>
 Collaborate with data scientists, analysts, and platform teams on data requirements
 </li>
 <li>
 Contribute to cloud best practices, DevOps processes, and CI/CD pipelines
 </li>
 <li>
 Mentor junior team members and contribute to technical decision-making (senior level)
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, Data Science, or a related discipline (or 7+ years of equivalent hands-on experience in a technical data-focused role)
 </li>
 <li>
 3&ndash;5+ years of hands-on experience working with Azure Data Factory and Azure Data Lake Storage in production environments
 </li>
 <li>
 Proven experience delivering data solutions at scale, working with large and complex datasets (terabytes of data, partitioned tables, high-volume files)
 </li>
 <li>
 Strong hands-on experience with Power BI, including DAX and Power Query M
 </li>
 <li>
 Solid experience with Azure SQL Database and advanced T-SQL
 </li>
 <li>
 Practical experience with Databricks, Spark, Hive, and PySpark for big data processing
 </li>
 <li>
 Strong programming skills in Python, C#, .NET, Scala, or Java
 </li>
 <li>
 Experience working with cloud platforms, preferably Microsoft Azure (experience with AWS or GCP is a plus)
 </li>
 <li>
 Good understanding of DevOps principles and experience working with CI/CD pipelines
 </li>
 <li>
 Demonstrated ability to collaborate with business and technical stakeholders to translate requirements into scalable data solutions
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills
 </li>
 <li>
 Professional working proficiency in English
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience with
 
 DevSecOps
 
 practices
 </li>
 <li>
 Exposure to
 
 SAFE / Agile
 
 delivery environments
 </li>
 <li>
 Knowledge of
 
 SAP BW
 
 or enterprise ERP data sources
 </li>
 <li>
 Previous leadership or mentoring experience
 </li>
 </ul>
 
 
 
 
 
 What&rsquo;s on Offer
 
 
 <ul>
 <li>
 Competitive salary:
 
 650,000 EGP - 1,400,000 EGP
 
 , depending on experience
 </li>
 <li>
 
 Hybrid working model
 
 (4 days onsite in Cairo)
 </li>
 <li>
 Private healthcare, annual bonus plus more benefits
 </li>
 <li>
 Transportation / Car Allowance
 </li>
 <li>
 Long-term career growth in a stable, well-funded organisation
 </li>
 </ul>
 
 
</div>

Azure Data Engineer / Developer

NorthBay - Pakistan

<div>
 
 Experience:
 
 5&ndash;7 Years
 
 
 
 Location:
 
 Cairo, Egypt (Onsite)
 
 
 
 Employment Type:
 
 Full-Time
 
 
 
 Position Overview
 
 
 
 We are looking for a skilled Senior Data Engineer with strong AWS expertise to design, develop, and optimize cloud-based data pipelines and solutions. The role involves hands-on development, collaboration with cross-functional teams, and contributing to scalable, high-performance data platforms. The ideal candidate has solid AWS experience, strong programming skills, and an understanding of data engineering best practices.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Develop and maintain batch and real-time data pipelines on AWS
 </li>
 <li>
 Implement ETL/ELT solutions using AWS Glue, Spark on EMR, and other AWS services
 </li>
 <li>
 Assist in workflow orchestration using Apache Airflow (MWAA)
 </li>
 <li>
 Support serverless data processing using AWS Lambda
 </li>
 <li>
 Participate in designing data warehousing solutions using Amazon Redshift
 </li>
 <li>
 Design and manage data storage strategies with Amazon S3 and DynamoDB
 </li>
 <li>
 Apply data governance and access controls using AWS DataZone
 </li>
 <li>
 Monitor and troubleshoot data platform issues using Amazon CloudWatch
 </li>
 <li>
 Collaborate with Analytics, BI, Data Science, and Business teams
 </li>
 <li>
 Write clean, efficient code, and perform peer code reviews
 </li>
 <li>
 Follow security, compliance, and data governance standards
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 
 <ul>
 <li>
 5&ndash;7 years of experience in Data Engineering or related roles
 </li>
 <li>
 3+ years of hands-on experience designing data solutions on AWS
 </li>
 <li>
 Proficiency with: AWS Glue, Amazon EMR (Spark), AWS Lambda, Apache Airflow (MWAA), Amazon EC2, Amazon CloudWatch, Amazon Redshift, Amazon DynamoDB, AWS DataZone, Amazon S3
 </li>
 <li>
 Strong programming skills in Python
 </li>
 <li>
 Advanced SQL skills with performance tuning expertise
 </li>
 <li>
 Understanding of data warehousing, data modeling (Star/Snowflake), ETL/ELT best practices
 </li>
 <li>
 Familiarity with Agile/Scrum delivery environments
 </li>
 <li>
 Problem-solving and analytical skills
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 AWS Professional Certification (Solutions Architect / Data Analytics Specialty)
 </li>
 <li>
 Experience with real-time streaming (Kinesis, Kafka)
 </li>
 <li>
 Exposure to data governance and metadata management tools
 </li>
 <li>
 Knowledge of cost optimization in AWS
 </li>
 </ul>
</div>

Senior Data Engineer – AWS

Müller's Solutions

<div>
 M&uuml;ller's Solutions is looking for a skilled Google Cloud Security Engineer to enhance our cloud security framework and protect our critical systems and data on Google Cloud Platform (GCP). In this role, you will be responsible for identifying security vulnerabilities, implementing robust security measures, and ensuring compliance with industry standards while safeguarding our cloud architecture and applications.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design, implement, and manage security controls and procedures for GCP services and resources
 </li>
 <li>
 Perform risk assessments and security reviews to identify vulnerabilities and prioritize remediation measures
 </li>
 <li>
 Monitor and analyze security alerts, events, and incidents across the cloud environment
 </li>
 <li>
 Develop and enforce security policies, standards, and best practices for cloud operations
 </li>
 <li>
 Implement Identity and Access Management (IAM) policies to control access to GCP resources effectively
 </li>
 <li>
 Conduct regular security assessments and collaborate with development teams to ensure secure coding practices
 </li>
 <li>
 Stay up to date with the latest security threats, vulnerabilities, and trends in cloud security
 </li>
 <li>
 Provide security training and awareness for engineering teams to promote a security-first culture
 </li>
 <li>
 Collaborate with incident response teams to investigate and respond to security incidents effectively
 </li>
 <li>
 Maintain documentation of security policies, architecture, and processes related to GCP
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or a related field
 </li>
 <li>
 3+ years of experience in cloud security, specifically within Google Cloud Platform
 </li>
 <li>
 Strong knowledge of cloud security best practices, frameworks, and compliance (e.g., ISO 27001, NIST, GDPR)
 </li>
 <li>
 Experience with GCP security tools and services, including Security Command Center, Cloud Armor, and Cloud Identity
 </li>
 <li>
 Expertise in Identity and Access Management (IAM), data encryption, and security configurations in GCP
 </li>
 <li>
 Familiarity with network security principles and solutions, such as firewalls and VPNs
 </li>
 <li>
 Excellent analytical and problem-solving skills, with the ability to handle complex security scenarios
 </li>
 <li>
 Strong communication skills to effectively convey technical information to diverse audiences
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Google Cloud certifications (e.g., Google Cloud Professional Cloud Security Engineer) are desirable
 </li>
 <li>
 Experience in scripting or programming languages, such as Python or Bash, for security automation
 </li>
 <li>
 Knowledge of DevSecOps practices and tools
 </li>
 <li>
 Experience with tools like SIEM, vulnerability scanners, and penetration testing frameworks
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 1- Attractive Package.
 
 
 2- Family Benefits.
 
 
 3- Visa.
 
 
 4-Air Tickets.
</div>

Google Cloud Security Engineer.

Arrow Electronics

<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

Explore 549+ Cloud data engineer in Cairo this March. Find roles across top companies and apply now to boost your career.

549 cloud data engineer jobs In Cairo

Senior Google Cloud Data Engineer, Valeo Service

Senior Google Cloud Data Engineer, Valeo Service

Senior Data Engineer (Onsite | Cairo, Egypt)

Azure Data Engineer / Developer

Senior Data Engineer – AWS

Google Cloud Security Engineer.

Senior Java Software Engineer