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azure data engineer -

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azure devops (data) engineer -

cloud security engineer Jobs in Arabic Jobs In Arabic Jobs In Arabic Jobs In Abu Dhabi United Arab Emirates

cloud security engineer

azure data engineer

Mind Stream

We are seeking a highly skilled Azure Data Engineer with extensive experience in building, optimizing, and managing scalable data solutions on Microsoft Azure. The ideal candidate will have hands-on expertise in Azure Databricks, Data Factory, Data Lake Storage, and Event Hub, along with strong programming and data engineering skills.Required Skills and Qualifications:<ul><li>8+ years of experience as an Azure Data Engineer or similar role.</li><li>Strong expertise in Azure Databricks, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), and Event Hub.</li><li>Proficiency in programming languages such as PySpark, Scala, or SQL.</li><li>Experience with data modeling, data warehousing, and big data technologies.</li><li>Knowledge of Delta Lake and other data storage formats.</li><li>Familiarity with data integration tools and techniques.</li><li>Excellent problem-solving skills and attention to detail.</li><li>Knowledge of data governance and data quality best practices.</li><li>Strong communication and collaboration skills.</li><li>Certification in Microsoft Azure Data Engineering or irelated areas is a plus</li><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Do you have a minimum of 8 years of total experience as a Data Engineer or in a similar role?</li><li>How many years of hands-on experience do you have with Azure Databricks?</li><li>How many years of experience do you have working with Azure Data Factory (ADF) and Azure Data Lake Storage (ADLS)?</li><li>Do you have experience with data modeling, data warehousing, and big data technologies?</li><li>What is your current and expected salary?</li><li>What is your notice period?</li></ul>

Azure Data Engineer -

Job location: Doha, QatarJob description:Proven experience with Azure DevOps and implementing CI/CD pipelines.<ul><li>Strong knowledge of Azure data services, specifically Azure Databricks and Azure Data Factory.</li><li>Proficiency in Databricks Asset Bundle for Databricks Ci/CD.</li><li>Experience with scripting and automation tools (e.g., PowerShell, Python).</li><li>Experience in implementing selective deployment for ADF data pipelines.</li><li>Understanding of containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus.</li><li>Excellent problem-solving skills and ability to troubleshoot complex CI/CD issues.</li><li>Strong communication skills and ability to collaborate effectively with cross-functional teams.</li><li>Knowledge of security best practices for CI/CD pipelines and Azure environments.</li><li>Detail-oriented with a focus on delivering high-quality, reliable automation solutions.</li><li>Bachelor's degree in Computer Science, Information Technology, or related field.</li><li>Minimum of 5 years of experience in DevOps or related roles.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Have you worked with Azure Databricks and Azure Data Factory (ADF)?</li><li>Are you familiar with Databricks Asset Bundle for Databricks CI/CD?</li><li>How many years of experience do you have with Python or PowerShell scripting?</li><li>Have you implemented selective deployment for ADF pipelines?</li><li>What is your current and expected salary?</li><li>What is your notice period or earliest joining availability?</li></ul>

Azure DevOps (Data) Engineer -

D4 Insight

<div>Position: Senior Cloud DevOps Engineer &ndash; Azure &amp; AI Solutions 
Location: Abu Dhabi
<h3 class="jobSectionHeader">
Role Overview</h3>

We are seeking a highly skilled Senior Cloud DevOps Engineer with strong expertise in Azure and AI platforms to design, deploy, and manage scalable cloud and MLOps solutions. This role will drive automation, governance, security, and end-to-end AI infrastructure delivery.
<h3 class="jobSectionHeader">
Key Responsibilities</h3>
<ul>
<li>Architect and deploy scalable AI and cloud platforms using Azure VMs, AKS, and Azure Functions
</li>
<li>Administer Azure Subscriptions and Resource Groups with strong governance using Azure Policy, Blueprints, and RBAC
</li>
<li>Automate infrastructure using Terraform through reusable modules, secure state management, and CI/CD integration
</li>
<li>Implement secure networking using Azure Firewall, VNets, NSGs, and Private Endpoints
</li>
<li>Monitor and optimize cloud resources using Azure Advisor, Cost Management, and AWS CloudWatch for hybrid setups
</li>
<li>Deploy and manage ML models using Azure Machine Learning, MLflow, and Azure ML Endpoints
</li>
<li>Build and operate robust MLOps pipelines using Azure DevOps, GitHub Actions, and Terraform
</li>
<li>Containerize and deploy models using AKS, ACI, and optionally Amazon SageMaker
</li>
<li>Track model performance and data drift using Azure Monitor, Application Insights, and Log Analytics
</li>
<li>Integrate Azure Cognitive Services, Azure OpenAI, and optionally AWS Rekognition or Comprehend
</li>
<li>Apply Generative AI engineering principles to build scalable and modular AI solutions
</li>
<li>Collaborate closely with AI, Data Science, UI/UX, and engineering teams for end-to-end delivery
</li>
<li>Create documentation standards and reusable templates for AI and infrastructure projects
</li>
<li>Apply DevOps best practices using Docker, CI/CD pipelines, and Infrastructure as Code
</li>
<li>Ensure compliance with enterprise policies, security standards, and service guidelines
</li>
</ul><h3 class="jobSectionHeader">Ideal Candidate Profile</h3>
<ul>
<li>5+ years of hands-on experience in Azure-based cloud and AI solution delivery
</li>
<li>Strong expertise in Terraform, including module development, remote state management, and CI/CD integration
</li>
<li>Proven experience in cloud infrastructure, MLOps, containerization, and DevOps automation
</li>
<li>Bachelor&rsquo;s degree in Computer Science, AI, Software Engineering, Statistics, or related field (Master&rsquo;s preferred)
</li>
<li>Azure certifications such as AZ-104, AZ-305, or DP-100 are a strong advantage
</li>
<li>Exposure to both Azure and AWS environments
</li>
<li>Strong skills in data preparation, feature engineering, and large-scale dataset handling
</li>
<li>Ability to convert technical insights into clear business value
</li>
<li>Experience working cross-functionally with engineering, product, and business teams
</li>
</ul> Interested candidates can share their resume at: [email protected]</div>

Senior Cloud DevOps Engineer – Azure & AI Solutions

Digital Corner for Network Solutions

AboutThis opportunity is for a leading Energy &amp; Gas giant in the UAE. We are looking for Data Engineers to build the pipelines that power our analytics. You will be responsible for the extraction, transformation, and loading (ETL) of data, creating the reliable infrastructure needed for data science and business intelligence.Responsibilities<ul><li>Design, build, and maintain robust ETL/ELT pipelines to move data from various sources to centralized data warehouses/lakes.</li><li>Optimize data ingestion processes for performance, scalability, and reliability.</li><li>Develop complex SQL queries and scripts (Python/Scala) to transform raw data into usable formats.</li><li>Collaborate with Data Architects to implement data models and schemas effectively.</li><li>Monitor and troubleshoot data pipeline failures, ensuring high data availability for users.</li><li>Implement data partitioning and indexing strategies to optimize query performance.</li><li>Ensure data security and compliance during data transfer and storage.</li></ul>Requirements<ul><li>2&ndash;8 years of experience</li><li>Strong programming skills in Python, Scala, or Java.</li><li>Expert-level proficiency in SQL and experience with ETL tools (e.g., Azure Data Factory, Informatica, Talend).</li><li>Experience with big data technologies (Spark, Hadoop, Databricks).</li><li>Understanding of cloud data platforms (Azure Synapse, Snowflake).</li></ul>Bonus<ul><li>Azure Data Engineer Associate certification.</li><li>Experience with streaming data (Kafka, Event Hubs).</li><li>Knowledge of CI/CD for data pipelines.</li></ul>Job Type: Full-timePay: AED12,000.00 - AED18,000.00 per month

Data Engineer

AboutThis opportunity is for a leading Energy &amp; Gas giant in the UAE. We are seeking a GenAI Engineer to build the backbone of our AI capabilities. You will focus on the infrastructure, integration, and engineering required to deploy robust Generative AI solutions, leveraging the Azure AI ecosystem.Responsibilities<ul><li>Architect and implement secure, scalable infrastructure for Generative AI applications using Azure AI services.</li><li>Design and build Retrieval-Augmented Generation (RAG) pipelines to ground LLM responses in proprietary enterprise data.</li><li>Manage vector databases and embedding models to support efficient information retrieval.</li><li>Integrate LLM APIs with internal systems, databases, and third-party tools to create functional AI agents.</li><li>Implement guardrails and content filters to ensure AI compliance with corporate security and safety policies.</li><li>Optimize the performance and cost-efficiency of AI model calls and data processing pipelines.</li><li>Collaborate with DevOps teams to establish CI/CD workflows for AI applications.</li></ul>Requirements<ul><li>Experience: 2&ndash;4 years.</li><li>Strong software engineering background with proficiency in Python and API development (REST/GraphQL).</li><li>Deep practical experience with Azure OpenAI, LangChain, Semantic Kernel, or similar frameworks.</li><li>Experience with vector stores (e.g., Pinecone, Milvus, Azure AI Search).</li><li>Solid understanding of cloud infrastructure (Azure), security, and networking.</li><li>Ability to design microservices architectures for AI applications.</li></ul>Bonus<ul><li>Experience fine-tuning LLMs (PEFT, LoRA) for specific domain tasks.</li><li>Knowledge of containerization (Docker, Kubernetes).</li><li>Certification in Azure AI Engineering.</li></ul>Job Type: Full-timePay: AED10,000.00 - AED16,000.00 per month

GenAI Engineer

Discovered MENA

<div>
 
 
 Network Engineer &ndash; SASE &amp; Cloud Security
 
 
 
 
 Location:
 
 Abu Dhabi, UAE
 
 
 
 Industry:
 
 Consulting / Cybersecurity
 
 
 
 Role Type:
 
 Contract
 
 
 
 Role Summary
 
 
 
 A leading consultancy in Abu Dhabi is seeking a hands-on Network Engineer with strong experience in SASE platforms such as
 
 Prisma Access
 
 ,
 
 Zscaler
 
 , or
 
 Netskope
 
 . You&rsquo;ll help design, operate, and troubleshoot secure connectivity for global users, branches, cloud workloads, and data centers.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Deploy and manage cloud-delivered secure access solutions
 </li>
 <li>
 Configure advanced security policies (threat prevention, SSL decryption, identity-based access)
 </li>
 <li>
 Enable new sites/users using IPsec, routing, and connectivity best practices
 </li>
 <li>
 Integrate SASE with identity platforms (Azure AD/Okta) and SIEM tools
 </li>
 <li>
 Troubleshoot network and security issues across global environments
 </li>
 <li>
 Support SD-WAN and basic cloud networking in Azure/AWS
 </li>
 <li>
 Maintain documentation and participate in incident response/on-call rotations
 </li>
 </ul>
 
 
 Requirements
 
 
 <ul>
 <li>
 4+ years of network engineering or network security experience
 </li>
 <li>
 Hands-on experience with Prisma Access or other major SASE solutions
 </li>
 <li>
 Strong understanding of routing, VPN/IPsec, firewalls, and BGP
 </li>
 <li>
 Experience with central management tools (e.g., Panorama)
 </li>
 <li>
 Scripting/automation knowledge is a plus
 </li>
 <li>
 Relevant certifications beneficial (PCNSE, Zscaler, Netskope, CCNP Security)
 </li>
 <li>
 Eligible to work in the UAE (relocation support available)
 </li>
 </ul>
 
 
</div>

Network Engineer

help AG

<div>Help AG is looking for a experienced Senior Cloud Security Engineer who will be working closely with governance, operations, and Help AG teams. The Cloud Security Engineer will be responsible for designing, implementing, and maintaining security controls across multi-cloud and hybrid environments with a strong focus on Microsoft Azure and Microsoft 365. 
Responsibilities
<ul><li>Architect and implement secure cloud solutions for Azure, AWS, and Microsoft 365 environments.</li><li>
Define and enforce identity and access management (IAM) policies, conditional access, and Zero Trust security models.
</li><li>Manage and optimize SIEM/SOAR platforms such as Microsoft Sentinel, Splunk, or ArcSight.
</li><li>Develop and maintain use cases, detection rules, dashboards, and automation playbooks in Sentinel.
</li><li>Investigate and respond to security incidents, working closely with SOC and IR teams.
</li><li>Administer and manage Microsoft Defender ATP, Intune, Azure Security Center, and Azure Information Protection.</li><li>
Monitor cloud environments for threats, vulnerabilities, and misconfigurations.
</li><li>Deploy and maintain endpoint detection, firewalls, proxies, and DLP solutions across hybrid environments.
</li><li>Conduct cloud risk assessments, security audits, and compliance reviews against frameworks like NIST, CIS Benchmarks, and MITRE ATT&amp;CK.
</li><li>Provide recommendations and remediation steps for improving the organization&rsquo;s cloud security posture.
</li><li>Work with IT, SOC, DevOps, and compliance teams to ensure secure deployment pipelines and governance alignment.
</li><li>Stay updated on evolving cloud security threats, attack techniques, and emerging technologies.
</li><li>Prepare detailed technical documentation, reports, and SOPs</li></ul>
Qualifications &amp; Skills
<ul><li>Bachelor&rsquo;s degree in computer science, Cybersecurity, Information Systems, or a related field.
</li><li>7+ years of hands-on experience in Cloud Security Engineering.
</li><li>Proven expertise in Microsoft Azure Security and Microsoft 365 Security.
</li><li>Exposure to AWS Security; familiarity with GCP security tools is an advantage.
</li><li>Strong experience with Microsoft Sentinel
</li><li>Log ingestion, content creation, KQL queries, playbooks, connectors, automation.
</li><li>Expertise in Microsoft Defender suite:
</li><li>Defender for Endpoint, Identity, Cloud Apps, Defender for Cloud.
</li><li>Hands-on experience with: o Azure Security Center, Azure Information Protection, Microsoft Intune.
o Azure Key Vault and secrets management.
o Strong knowledge of Azure infrastructure security:
o VNets, NSGs, firewalls, Application Gateway, WAF.
o Proficient in Entra ID (Azure AD), IAM, and Conditional Access.
o Experience with cloud security posture management (CSPM) tools such as Prisma Cloud.
o Exposure to AWS security services and Kubernetes security.
o Experience conducting cloud security assessments, governance, and incident response.
o Understanding of CI/CD security in DevOps and DevSecOps environments.
o Exposure to Akamai security solutions is a plus.</li><li>
Strong knowledge of: o Networking, firewalls, IDS/IPS, and endpoint protection.
</li><li>Skilled in scripting and automation using:
o PowerShell, Python, Bash, and Terraform.
</li><li>Experience with Infrastructure as Code (IaC) for automating cloud security configurations.
</li><li>Familiarity with major compliance frameworks:
o ISO 27001, NIST CSF, GDPR, and related cloud governance standards.
o Excellent problem-solving and troubleshooting skills.
</li><li>Strong client-facing communication and technical documentation abilities.
</li><li>Ability to work effectively under pressure in dynamic environments.
</li><li>Preferred Certifications:
o Microsoft AZ-500 &ndash; Azure Security Engineer
o Microsoft SC-200 &ndash; Security Operations Analyst
o CISSP, CISM, CEH, or GIAC (preferred)</li></ul>
Benefits<ul><li>
Health insurance with one of the leading global providers for medical insurance.</li><li>
Career progression and growth through challenging projects and work.</li><li>
Employee engagement and wellness campaigns activities throughout the year.</li><li>
Excellent learning and development opportunities.</li><li>
Annual flight tickets to home country.</li><li>
Inclusive and diverse working environment.</li><li>
Flexible/Hybrid working environment.</li><li>
Open door policy.</li></ul>
About Us
Help AG is the cybersecurity arm of e&amp; enterprise (formerly Etisalat Digital) and provides leading enterprise businesses across the Middle East with strategic consultancy combined with tailored information security solutions and services that address their diverse requirements, enabling them to evolve securely with a competitive edge.
Present in the Middle East since 2004, Help AG was strategically acquired by e&amp; (formerly Etisalat Group) in 2020, hence creating a cybersecurity and digital transformation powerhouse in the region.
Help AG has firmly established itself as the region's trusted IT security advisor by remaining vendor-agnostic, trustworthy, independent, and maintaining its focus on all aspects of cybersecurity.
With best of breed technologies from industry-leading vendor partners, expertly qualified service delivery teams and a state-of-the-art consulting practice, Help AG delivers unmatched value to its customers by strengthening their cyber defenses and safeguarding their business.</div>

Senior Cloud Security Engineer

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