cloud engineer

senior data engineer

software engineer

ai engineer

ai systems engineer

data platform engineer

MENA Consultant

<div>Location: Riyadh, KSA. 
Working Arrangement: on-site. 
Language Requirements: Fluency in Arabic &amp; English (written and spoken). 
Nationalities: Saudi nationals. 
We are seeking a Saudi National Data Engineer &ndash; Cloudera to support the ongoing operations, monitoring, and maintenance of an existing Cloudera data platform and its associated data pipelines. The role will focus on ensuring platform stability, resolving operational issues, supporting data quality and security, and implementing enhancements to maintain reliable, secure, and efficient data platform operations.<h2 class="jobSectionHeader">
Key Requirements</h2><ul><li>
Saudi National.</li><li>
Proven experience supporting Cloudera Data Platform (CDP).</li></ul><h2 class="jobSectionHeader">
Other Qualifications</h2><ul><li>
Bachelor's degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related field.</li><li>
Strong analytical and troubleshooting skills.</li><li>
Excellent documentation and reporting capabilities.</li><li>
Strong communication and stakeholder coordination skills.</li></ul><h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Monitor and support the day-to-day operations of the Cloudera data platform and associated data pipelines.</li><li>
Track batch and real-time job executions and ensure successful processing.</li><li>
Investigate operational issues, perform root cause analysis, and implement corrective actions.</li><li>
Maintain platform availability and ensure compliance with defined SLAs.</li><li>
Implement minor enhancements, fixes, and operational improvements to existing data pipelines.</li><li>
Monitor data quality and support data validation activities.</li><li>
Manage user access requests and support data security and governance controls.</li><li>
Maintain operational documentation, runbooks, and support procedures.</li><li>
Collaborate with infrastructure, governance, and data engineering teams to ensure reliable platform operations.</li><li>
Contribute to continuous improvement initiatives to enhance platform stability, performance, and operational efficiency.</li></ul></div>

Data Engineer – Cloudera

Cognizant

Role Overview
 As a Senior Data Engineer / Tech Lead, you will design, develop, and optimize scalable, enterprise-grade cloud-native data platforms and pipelines on the Microsoft Azure ecosystem . You will possess deep technical ownership and be responsible for implementing modern data architectures (such as Lakehouse and Medallion architecture) . This role requires close collaboration with architects, business analysts, and downstream data consumers to translate complex business requirements into high-performing and secure data solutions.
 
Key Responsibilities
 1.Data Pipeline Design & Orchestration (ADF)
 <ul>
<li>Design, build, and maintain complex, scalable ETL/ELT pipelines using Azure Data Factory (ADF) to ingest heterogeneous data from diverse sources (APIs, SFTP, Oracle Fusion, SQL Server, Event Hubs, etc.)</li>
<li>Implement parameter-driven dynamic pipelines, custom activities, and robust scheduling triggers</li>
<li>Configure and manage Integration Runtimes (Self-Hosted and Azure IR) for secure and efficient on-premise to cloud data movement</li>
</ul>
2.Advanced Big Data Processing (Azure Databricks)
 <ul>
<li>Develop high-performance batch and real-time streaming data pipelines using Azure Databricks, PySpark, Spark SQL, or Scala</li>
<li>Implement Medallion Architecture (Bronze, Silver, and Gold layers) and maintain modern Lakehouse architectures utilizing Delta Lake</li>
<li>Optimize Spark compute usage through parameter-driven jobs, proper cluster scaling, and Databricks serverless compute configurations</li>
<li>Perform deep performance tuning, query optimization, and memory management of heavy Spark workloads</li>
</ul>
3.Data Warehousing & Modeling
 <ul>
<li>Design and refine data models including dimensional modeling, star schemas, and Slowly Changing Dimensions (SCDs)</li>
<li>Optimize databases by writing complex, performant T-SQL queries, stored procedures, and schemas on Azure SQL Database or Azure Synapse Analytics</li>
</ul>
4.Data Governance, Security & DevOps
 <ul>
<li>Enforce data governance, lineage, and access controls across the platform utilizing Unity Catalog .</li>
<li>Secure data architectures utilizing Azure Key Vault, Managed Identities, Service Principals, and VNET-integrated environments</li>
<li>Implement CI/CD pipelines using Git and Azure DevOps to automate database and pipeline deployments</li>
</ul>
5.Leadership & Collaboration
 <ul>
<li>Provide technical mentorship and guidance to junior developers and QA teams</li>
<li>Enforce engineering discipline through standard code reviews, structured pre/post-deployment validations, and thorough documentation</li>
</ul>
Required Skills & Qualifications
 <ul>
<li>Overall Experience: Minimum of 8+ years of professional experience in Data Engineering or Data Warehousing</li>
<li>Azure Experience: 4+ years of dedicated, hands-on experience designing and operating modern data platforms on Microsoft Azure</li>
<li>Programming Languages: Proficient in Python/PySpark, SQL (advanced query optimization, indexing, stored procedures), and optionally Scala</li>
<li>Core Azure Stack: Extensive knowledge of Azure Data Factory, ADLS Gen2, Azure Databricks (Delta Lake), Azure SQL Database, and Azure Synapse Analytics</li>
<li>Big Data Concepts: Robust understanding of Apache Spark architecture, distributed computing, and the Hadoop ecosystem</li>
<li>Data Integration: Strong background in CDC (Change Data Capture) mechanisms, API integrations, and event-driven data streaming (e.g., Event Hubs/Kafka)</li>
<li>Soft Skills: Excellent analytical capabilities, strong documentation skills, and the ability to articulate technical strategies to non-technical business partners</li>
</ul>
Preferred / "Good-to-Have" Qualifications
 <ul>
<li>Certifications: Microsoft Certified: Azure Data Engineer Associate (DP-203), Azure Solutions Architect Expert, or Databricks Certified Associate/Professional</li>
<li>Cloud Platforms: Exposure to multi-cloud environments (e.g., Google Cloud Platform or AWS)</li>
<li>IaC: Experience using Infrastructure as Code (IaC) tools like Terraform or ARM Templates to deploy Azure resources</li>
</ul>

Architect

Ninja 🥷🏽 نينجا

<div>
 We are looking for a Data Warehouse Engineer (f/m/d) to join our Data Team and help transform our company into a truly data-driven organization. In this role, you will design and build scalable data solutions that empower business teams with reliable, high-quality data and actionable insights.
 
 
 If you enjoy solving complex data challenges, building robust platforms, and working in an international and collaborative environment, we'd love to hear from you.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Design, develop, and maintain scalable data warehouse solutions that support our rapidly growing international business
 </li>
 <li>
 Build and evolve our enterprise data warehouse to enable advanced analytics, reporting, and data-driven decision-making across the organization
 </li>
 <li>
 Develop and optimize ETL/ELT pipelines for batch and near real-time data processing
 </li>
 <li>
 Support analytical and machine learning workflows by providing reliable and well-structured datasets
 </li>
 <li>
 Integrate data from a wide range of sources, including transactional databases, third-party platforms, and external APIs (e.g., Google Analytics, BigQuery, Google Ads, Adjust, PostgreSQL, MySQL, and others)
 </li>
 <li>
 Collaborate closely with data engineers, analysts, data scientists, and business stakeholders to ensure data quality, consistency, and governance standards
 </li>
 <li>
 Monitor, troubleshoot, and continuously improve data platform performance, reliability, and scalability
 </li>
 <li>
 Evaluate and recommend new technologies, tools, and architectural approaches to enhance our data ecosystem
 </li>
 <li>
 Contribute to technical documentation, knowledge sharing, and best practices within the Data Team and the wider organization
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 2+ years of professional experience in Data Engineering, Data Warehousing, or a related field
 </li>
 <li>
 Bachelor's degree or higher in Computer Science, Mathematics, Physics, Engineering, Economics, or another quantitative discipline
 </li>
 <li>
 Strong expertise in SQL and relational database concepts, including data modeling and query optimization
 </li>
 <li>
 Experience designing and maintaining data warehouse architectures
 </li>
 <li>
 Hands-on experience with columnar databases and performance optimization techniques
 </li>
 <li>
 Experience working with workflow orchestration and distributed job scheduling tools, preferably Apache Airflow
 </li>
 <li>
 Solid programming skills in Python or Java, with a preference for Python
 </li>
 <li>
 Good understanding of Linux environments and scripting (Bash)
 </li>
 <li>
 Experience with modern cloud-based data platforms and analytical databases such as ClickHouse, StarRocks, or similar technologies
 </li>
 <li>
 Familiarity with data integration, ETL/ELT frameworks, and large-scale data processing
 </li>
 <li>
 Strong communication skills in English
 
 
 
 </li>
 </ul>
 
 What Makes You Successful
 
 
 
 <ul>
 <li>
 You are a proactive problem solver who enjoys tackling complex technical challenges
 </li>
 <li>
 You have a strong attention to detail and a passion for building reliable, high-quality data solutions
 </li>
 <li>
 You take ownership of your work and can operate independently when needed
 </li>
 <li>
 You are collaborative, curious, and enjoy sharing knowledge with others
 </li>
 <li>
 You think beyond immediate requirements and continuously look for opportunities to improve systems, processes, and technologies
 </li>
 </ul>
</div>

Data Warehouse Engineer (f/m/d)

VaporVM

<div><div>Date Posted: 11 June, 2026
</div><div>Industry: IT Services and IT Consulting
</div><div>Location: VaporVM</div></div>
 <div><h2 class="jobSectionHeader">Job Description:</h2>
<div><h1 class="jobSectionHeader">Senior HPC / Infrastructure Engineer</h1>
Location: Riyadh, Saudi Arabia
Employment Type: Full-Time
Experience: 10+ Years (Hands-On)
<h2 class="jobSectionHeader">Position Overview</h2>
We are seeking a highly experienced Senior HPC / Infrastructure Engineer with proven expertise in designing, deploying, and operating enterprise-scale High-Performance Computing (HPC) and AI infrastructure environments. This role is ideal for a hands-on technical leader who has built and managed production-grade HPC platforms, GPU clusters, Kubernetes ecosystems, and AI infrastructure from the ground up.
The successful candidate will play a critical role in architecting, optimizing, and maintaining mission-critical compute environments that support advanced AI/ML, data science, and high-performance workloads.
<h2 class="jobSectionHeader">Required Certifications</h2>
<ul><li>RHCE &ndash; Red Hat Certified Engineer (Active)</li>
<li>CKA &ndash; Certified Kubernetes Administrator (Active)</li>
</ul><h2 class="jobSectionHeader">Core Technical Expertise</h2>
<h3 class="jobSectionHeader">HPC &amp; NVIDIA AI Ecosystem</h3>
<ul><li>NVIDIA Base Command Manager (BCM)</li>
<li>NVIDIA AI Enterprise</li>
<li>NVIDIA GPU Operator &amp; Network Operator</li>
<li>NVIDIA NIM Inference Services</li>
<li>NVIDIA AI Blueprints</li>
<li>CUDA, GPU Drivers, and Performance Optimization</li>
</ul><h3 class="jobSectionHeader">Compute &amp; Container Platforms</h3>
<ul><li>Kubernetes (Architecture, Operations &amp; Scaling)</li>
<li>Slurm Workload Manager</li>
<li>Distributed Computing Environments</li>
</ul><h3 class="jobSectionHeader">Operating Systems</h3>
<ul><li>Red Hat Enterprise Linux (RHEL)</li>
<li>Ubuntu LTS (Canonical)</li>
</ul><h3 class="jobSectionHeader">Automation &amp; DevOps</h3>
<ul><li>CI/CD Pipeline Design &amp; Implementation</li>
<li>Infrastructure Automation</li>
<li>Platform Lifecycle Management</li>
<li>Configuration Management &amp; Orchestration</li>
</ul><h2 class="jobSectionHeader">Key Responsibilities</h2>
<ul><li>Design, deploy, and operate large-scale HPC and AI infrastructure environments from bare metal through workload orchestration.</li>
<li>Architect and manage NVIDIA GPU platforms, including BCM, AI Enterprise, GPU Operator, and AI service enablement.</li>
<li>Configure, optimize, and maintain Slurm scheduling environments for high-throughput and GPU-intensive workloads.</li>
<li>Design and operate highly available Kubernetes clusters supporting AI/ML, analytics, and containerized workloads.</li>
<li>Enable and support NVIDIA NIM services and AI Blueprint deployments for enterprise AI initiatives.</li>
<li>Administer and optimize RHEL and Ubuntu environments, ensuring stability, security, and performance.</li>
<li>Develop and maintain infrastructure automation frameworks and CI/CD pipelines for platform and application deployment.</li>
<li>Optimize performance across compute, GPU, storage, networking, and cluster resources.</li>
<li>Implement monitoring, observability, alerting, capacity planning, and operational best practices.</li>
<li>Enforce security, patch management, access controls, and compliance standards across the infrastructure stack.</li>
<li>Lead troubleshooting, root cause analysis, and resolution of complex infrastructure and platform issues.</li>
</ul><h2 class="jobSectionHeader">Candidate Profile</h2>
<ul><li>10+ years of hands-on experience in HPC, Linux infrastructure, and enterprise platform engineering.</li>
<li>Proven track record of building and operating production-scale HPC, GPU, or AI infrastructure environments.</li>
<li>Deep expertise in Kubernetes, Slurm, Linux administration, and NVIDIA AI technologies.</li>
<li>Strong understanding of distributed systems, workload scheduling, cluster management, and performance optimization.</li>
<li>Experience supporting AI/ML, data science, and high-performance computing workloads at scale.</li>
<li>Strong analytical, troubleshooting, and problem-solving skills.</li>
<li>Ability to work across infrastructure, platform, automation, and AI enablement domains.</li>
<li>Demonstrated ownership mindset with a history of delivering reliable, scalable, and high-performing solutions.</li></ul></div></div>

Senior Infrastructure / HPC

reachware

Reachware is a technology company specializing in integration solutions that help businesses connect applications, automate workflows, and streamline data exchange. Its cloud-based platform enables organizations to improve operational efficiency through secure and scalable system integrations.Job OverviewReachware is seeking a Customer Support Engineer to provide technical support for customers using its integration platform. This role involves troubleshooting technical issues, supporting API integrations, resolving platform incidents, and ensuring an excellent customer experience.Key Responsibilities<ul><li>Provide technical support via tickets, email, and customer enquiries.</li><li>Troubleshoot software, API, integration, and connectivity issues.</li><li>Assist customers with platform setup, configuration, and onboarding.</li><li>Monitor integration performance and resolve service incidents.</li><li>Create and maintain support documentation and knowledge-base articles.</li><li>Collaborate with engineering and DevOps teams to resolve complex issues and improve platform performance.</li></ul>Requirements<ul><li>Bachelor's degree in Computer Science, Information Technology, or a related field.</li><li>Strong troubleshooting, analytical, and problem-solving skills.</li><li>Excellent communication and customer service abilities.</li><li>Knowledge of APIs, integrations, and cloud-based applications.</li><li>Experience supporting enterprise software platforms.</li><li>Familiarity with Microsoft Azure, SQL databases, C#, Azure Logic Apps, or Azure Functions is preferred.</li><li>Previous technical support or customer support engineering experience is an advantage.</li></ul>Benefits<ul><li>Competitive salary and benefits package.</li><li>Professional development and training opportunities.</li><li>Collaborative and supportive work environment.</li><li>Career growth within an innovative technology company.</li></ul>Apply today and help customers maximize the value of Reachware's integration solutions.Pay: From ﷼15,000.00 per monthWork Location: In person

Customer Support Engineer - Reachware

NextEra

<div>
 
 Dear All,
 
 
 
 
 
 
 NextEra is
 
 looking for
 
 dynamic
 
 resources in
 
 Application Performance Monitoring Engineer
 
 role.
 
 
 
 
 
 
 Job Description: Application Performance Monitoring Engineer
 
 
 
 
 Experience Required:
 
 4+ years
 
 
 
 Headcount:
 
 3 engineers
 
 
 
 
 
 
 Role Overview
 
 
 
 Responsible for end-to-end
 
 application performance monitoring
 
 across web applications, microservices, and
 
 API layers
 
 using enterprise
 
 APM platform
 
 s. Ensures proactive detection, root cause analysis, and performance optimization across production environments.
 
 
 
 
 
 
 Mandatory Tools (at least one cert required)
 
 
 <ul>
 <li>
 
 Dynatrace
 
 (preferred &mdash; DCA / DCP certification)
 </li>
 <li>
 
 AppDynamics
 
 (Cisco AppDynamics Certified Performance Analyst)
 </li>
 <li>
 
 New Relic
 
 (New Relic Certified Performance Pro)
 </li>
 </ul>
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Deploy, configure, and manage APM agents across web, microservices, and API environments
 </li>
 <li>
 Build dashboards and alerting for SLA/SLO tracking and anomaly detection
 </li>
 <li>
 Perform root cause analysis on application degradation and latency issues
 </li>
 <li>
 Integrate APM tools with ITSM platforms (ServiceNow, Jira) for incident correlation
 </li>
 <li>
 Monitor containerized workloads (Kubernetes/Docker) and cloud-native services
 </li>
 <li>
 Define and track baseline performance metrics, throughput, error rates, and Apdex scores
 </li>
 <li>
 Support capacity planning based on APM trend data
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 <ul>
 <li>
 4+ years hands-on with Dynatrace, AppDynamics, or New Relic in production environments
 </li>
 <li>
 Web application monitoring (Java, .NET, Node.js stack awareness)
 </li>
 <li>
 Microservices &amp; API monitoring (REST/GraphQL, service mesh awareness)
 </li>
 <li>
 Log analytics integration (Splunk, ELK, or equivalent)
 </li>
 <li>
 Basic scripting for automation (Python or Shell)
 </li>
 <li>
 ITIL foundation minimum
 </li>
 </ul>
 
 
 
 
 
 Good to Have
 
 
 <ul>
 <li>
 Cloud monitoring experience (OCI, AWS CloudWatch, Azure Monitor)
 </li>
 <li>
 OpenTelemetry / distributed tracing exposure
 </li>
 <li>
 Kubernetes observability (Prometheus + Grafana stack)
 </li>
 </ul>
 
 
 
 
 
 Evaluation-Specific Note for Sourcing
 
 
 
 Each profile submitted must include:
 
 <ol>
 <li>
 Valid APM platform certificate (Dynatrace / AppDynamics / New Relic)
 </li>
 <li>
 At least one documented project example covering web, microservices, or API monitoring
 </li>
 <li>
 Minimum 4 years verifiable APM-specific experience &mdash; not generic infrastructure monitoring
 </li>
 </ol>
 
 
 
</div>

Application Engineer

Penta Consulting

<div>
 
 Penta Consulting are a technology service provider and leading outsourced partner helping to deliver professional and managed solutions across EMEA.
 
 
 
 
 
 We are seeking a certified Senior Cloud &amp; Infrastructure Engineer who has personally architected, deployed, and operated production workloads on Google Cloud Platform. The candidate must combine deep GCP service expertise with verified FinOps and billing optimization skills, having personally implemented cost governance frameworks, built billing dashboards, and driven measurable cloud cost reductions. Holding a GCP certification is required; however, it does not substitute for hands&ndash;on production experience, which will be rigorously evaluated.
 
 
 
 
 
 Key Responsibilities
 
 
 &bull; Personally architect, deploy, and operate scalable, secure, multi&ndash;region GCP infrastructure for production workloads.
 
 
 &bull; Lead GCP cloud strategy: resource hierarchy (org/folder/project), VPC design, Shared VPC, IAM governance, and service account lifecycle.
 
 
 &bull; Hands&ndash;on deployment and management of GKE (Autopilot &amp; Standard), Cloud Run, Cloud Functions, and Compute Engine workloads.
 
 
 &bull; Own FinOps practice: implement and operate cloud cost governance, budget alerting, right&ndash;sizing recommendations, and CUD/SUD purchasing.
 
 
 &bull; Build and maintain Terraform modules for all GCP infrastructure &ndash; from networking and compute to data services and security controls.
 
 
 &bull; Design multi&ndash;region and multi&ndash;zone architectures for disaster recovery, latency optimization, and data residency compliance.
 
 
 &bull; Produce monthly cloud cost reports and trend analyses for engineering leadership and finance, present optimization roadmaps.
 
 
 &bull; Implement and operate GCP security controls: VPC Service Controls, Cloud Armor WAF, Security Command Center, CMEK, and Binary Authorization.
 
 
 &bull; Define and enforce resource labeling/tagging standards for accurate cost attribution, chargeback, and showback reporting.
 
 
 &bull; Mentor engineers on GCP best practices and contribute to cloud governance documentation and internal platform tooling.
 
</div>

Cloud Engineer

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