data pipeline engineer

MENA Consultant

<div><p><b>Location:</b> Riyadh, KSA.<br>
<b>Working Arrangement: </b>on-site.<br>
<b>Language Requirements: </b>Fluency in Arabic &amp; English (written and spoken).<br>
<b>Nationalities: </b>Saudi nationals.</p><p><br>
We are seeking a Saudi National Data Engineer &ndash; Talend to support the ongoing operations, maintenance, and optimization of existing Talend ETL/ELT pipelines. The role will focus on ensuring reliable data integration, troubleshooting pipeline issues, maintaining data quality, and supporting deployment and operational activities to ensure the stability and performance of enterprise data integration platforms.</p><h2 class="jobSectionHeader"><b>
Key Requirements</b></h2><ul><li>
Saudi National.</li><li>
Proven experience working with <b>Talend ETL/ELT</b> tools and data integration solutions.</li></ul><h2 class="jobSectionHeader"><b>
Other Qualifications</b></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>
Ability to manage multiple operational activities in a production support environment.</li></ul><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li>
Monitor, maintain, and support Talend ETL/ELT pipelines to ensure reliable and timely data integration.</li><li>
Track job executions and resolve ETL failures, operational incidents, and performance issues.</li><li>
Perform root cause analysis and implement corrective actions to improve platform reliability.</li><li>
Resolve data quality, reconciliation, and integration issues while ensuring compliance with service level agreements.</li><li>
Develop and implement minor enhancements, workflow improvements, and performance optimizations for existing ETL processes.</li><li>
Support deployment activities and production releases for Talend jobs and workflows.</li><li>
Manage operational incidents through ticketing systems and ensure timely issue resolution.</li><li>
Ensure compliance with data governance, security, and operational standards.</li><li>
Maintain technical documentation, operational procedures, and support runbooks.</li><li>
Collaborate with data engineering, infrastructure, and governance teams to ensure stable, secure, and efficient data integration operations.</li></ul></div>

Data Engineer – Talend

Devoteam

<div>
 <strong>
  Tech for People Unlocks the Future
  <br/>
  <br/>
 </strong>
 At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.
 <br/>
 <br/>
 With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.
 <br/>
 <br/>
 <strong>
  Devoteam Culture &amp; Values:
  <br/>
  <br/>
 </strong>
 True innovation is born from a powerful culture, fused with meaningful values.
 <br/>
 <br/>
 <strong>
  Culture:
  <br/>
  <br/>
 </strong>
 <strong>
  Fair and courageous
  <br/>
  <br/>
 </strong>
 Everyone is treated fairly &ndash; this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it.
 <br/>
 <br/>
 <strong>
  Ambition and results
  <br/>
  <br/>
 </strong>
 Ambition is nurtured at every step &ndash; this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint.
 <br/>
 <br/>
 <strong>
  Learning and innovating
  <br/>
  <br/>
 </strong>
 Curiosity and learning are at our core &ndash; this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence.
 <br/>
 <br/>
 <strong>
  Caring and sharing
  <br/>
  <br/>
 </strong>
 A caring attitude is infused into our culture &ndash; this encourages sharing. We believe in the power of teams, we promote support and collaboration.
 <br/>
 <br/>
 At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,
 <br/>
 <br/>
 <strong>
  Values:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Respect
  </li>
  <li>
   Frankness
  </li>
  <li>
   Passion
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 A Data Engineer is expected to develop, monitor, and optimize data quality rules and processes to ensure reliable and accurate enterprise data.
 <br/>
 <br/>
 They identify and resolve data anomalies through profiling, cleansing, and validation workflows.
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 <br/>
 The role ensures that business decisions are driven by complete, consistent, and high-integrity data across systems.
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 <br/>
 <strong>
  Key Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, implement, and maintain data quality frameworks, rules, and processes to ensure the accuracy, completeness, and reliability of enterprise data.
  </li>
  <li>
   Collaborate with data governance, MDM, and data integration teams to enforce consistent data quality standards across systems.
  </li>
  <li>
   Conduct data profiling, anomaly detection, and validation to identify quality gaps and root causes.
  </li>
  <li>
   Develop automated data quality checks and workflows for continuous monitoring and remediation.
  </li>
  <li>
   Define and manage key data quality metrics (DQ KPIs) and build dashboards to visualize performance trends.
  </li>
  <li>
   Document data quality rules, issue logs, and remediation actions as part of the data governance framework.
  </li>
  <li>
   Work closely with business data stewards and domain owners to define data quality expectations and acceptance thresholds.
  </li>
  <li>
   Support audits, compliance reviews, and data management maturity assessments by providing DQ evidence and reports.
  </li>
  <li>
   Lead the design and deployment of scalable data quality solutions across multiple data domains and systems.
  </li>
  <li>
   Define enterprise data quality standards, policies, and rule frameworks aligned with governance strategy.
  </li>
  <li>
   Establish data quality scorecards, thresholds, and escalation workflows for high-impact issues.
  </li>
  <li>
   Conduct root cause analysis and lead remediation programs for chronic data issues.
  </li>
  <li>
   Mentor junior engineers and promote data quality best practices across teams.
  </li>
  <li>
   Participate in compliance with the local data management regulations (e.g. NDMO, NDI).
  </li>
  <li>
   Design, build, and maintain scalable, secure, and robust data pipelines for efficient data ingestion and transformation, with a strong focus on building quality checks into the infrastructure itself.
  </li>
  <li>
   Collaborate with cross-functional and leadership teams (Data Scientists, Analysts, and Business Leaders) to translate complex business requirements into technical data quality solutions.
  </li>
  <li>
   Research, evaluate, and recommend new data quality tools, technologies, and practices to enhance the reliability, security, and scalability of the data infrastructure.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Management, or related discipline.
  </li>
  <li>
   5+ years of experience in Data Quality, Data Governance, or Data Engineering roles.
  </li>
  <li>
   Proven hands-on experience with enterprise DQ tools (e.g., Informatica DQ/IDMC, Ataccama, Talend DQ, SAS DQ).
  </li>
  <li>
   Strong expertise in data profiling, rule design, standardization, and exception management.
  </li>
  <li>
   Proficiency in SQL and scripting (Python, Shell, or Scala) for advanced data validation.
  </li>
  <li>
   Deep understanding of data governance frameworks and collaboration with data stewards.
  </li>
  <li>
   Ability to design DQ dashboards, scorecards, and KPIs to monitor performance.
  </li>
  <li>
   Strong communication skills for presenting findings and recommendations to business stakeholders.
  </li>
  <li>
   Experience mentoring junior engineers or managing small DQ workstreams.
  </li>
  <li>
   CDMP Associate Certificate and/or Informatica IDQ Certificate and/or IDMC DQ Certificate
  </li>
  <li>
   Experience defining data quality strategy and embedding DQ into enterprise data platforms (MDM, DWH, Data Lake).
  </li>
  <li>
   Understanding of data lineage, root cause analysis, and impact assessment.
  </li>
  <li>
   Knowledge of metadata management and integration with data catalogs.
  </li>
  <li>
   Familiarity with regulatory and compliance requirements (e.g., NDMO, NDI).
  </li>
  <li>
   Ability to automate DQ workflows through orchestration or CI/CD pipelines.
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   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional Information
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  <br/>
 </strong>
 <strong>
  Business Unit: Data &amp; Intelligence
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  <br/>
 </strong>
 <strong>
  Level: Mid - Senior Level
 </strong>
</div>


Data Engineer

Cognizant

Role Overview
<br>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.
<br><br>
Key Responsibilities
<br>1.Data Pipeline Design & Orchestration (ADF)
<br><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)
<br><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
<br><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
<br><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
<br><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
<br><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
<br><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

Incorta

<div>
 Incorta is a next-generation data analytics and business intelligence platform that excels at rapidly delivering business value from transactional data, this is the first real breakthrough in data analytics in 20 years. We provide an integrated end-to-end data experience, from data acquisition and enrichment to visualizing and sharing results. Our platform cuts project implementation time from months to weeks provides revolutionary query speed and maintains a unified, single source of truth for multiple workloads including business intelligence, analytics, and machine learning. Fully 90% of companies that try Incorta become customers, and over 98% of our customers are still with us. Our cloud-based service widens our reach into businesses of all sizes. There is simply no other analytics solution that is as cost-effective, agile, and impactful.
 <br/>
 <br/>
 We are seeking a talented Presales Solutions Engineer to join our growing team in Saudi Arabia
 <br/>
 <br/>
 Arabia. The ideal candidate will have a strong background in Data Analytics, Data Management,
 <br/>
 <br/>
 and Data Engineering, with proven experience supporting enterprise sales cycles. Knowledge of
 <br/>
 <br/>
 Generative AI technologies and how they apply to analytics and decision-making are highly
 <br/>
 <br/>
 desirable.
 <br/>
 <br/>
 This individual will work closely with the sales team, prospects, and customers to demonstrate
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 <br/>
 How Incorta&rsquo;s Unified Data and Analytics Platform can solve complex data challenges and
 <br/>
 <br/>
 deliver rapid business value.
 <br/>
 <br/>
 <strong>
  YOU WILL
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner with Sales to deliver compelling value propositions, product demonstrations, and
  </li>
  <li>
   Proofs of Concept (POCs) to prospective customers.
  </li>
  <li>
   Lead technical discovery sessions with customers to understand their data architecture, business needs, and current pain points.
  </li>
  <li>
   Translate customer requirements into Incorta-based solutions, showcasing our Advantages in real-time data ingestion, transformation, and visualization.
  </li>
  <li>
   Build custom demos and POCs, leveraging Incorta&rsquo;s platform (including Incorta Nexus GenAI), Data Apps, and integration with source systems like Oracle, SAP, Snowflake, etc.
  </li>
  <li>
   Explain data modeling concepts, query optimization, and data pipeline architecture to both technical and business audiences.
  </li>
  <li>
   Collaborate with product and engineering teams to provide feedback from the field.
  </li>
  <li>
   Present at events, webinars, and customer workshops as a technical expert.
  </li>
  <li>
   Stay updated with data trends, GenAI developments, and regional market demands.
  </li>
  <li>
   Support RFPs/RFIs and contribute to technical proposals.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  YOU HAVE
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5&ndash;7 years of experience in Presales, Solutions Engineering, or related customer-facing
  </li>
  <li>
   technical roles.
  </li>
  <li>
   Strong understanding of data platforms, including data modeling, ETL/ELT pipelines, and data warehousing concepts.
  </li>
  <li>
   Familiarity with data management practices, including governance, quality, and metadata.
  </li>
  <li>
   Hands-on experience with platforms like Incorta, Snowflake, Databricks, MS Fabric, or similar is a plus.
  </li>
  <li>
   Exposure to or understanding of Generative AI (LLMs, RAG, AI copilots) in analytics is a strong plus.
  </li>
  <li>
   Strong communication and presentation skills in both English and Arabic.
  </li>
  <li>
   Bachelor's Degree in Computer Science, Engineering, Information Systems, or related field.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  NICE TO HAVE
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong SQL skills; knowledge of Python is a plus.
  </li>
  <li>
   Experience designing or presenting cloud-based architectures (AWS, GCP, Azure).
  </li>
  <li>
   Familiarity with NDMO, PDPL, or regional data regulations is a plus.
  </li>
  <li>
   Ability to engage with both technical and executive-level stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 We could tell you that we&rsquo;re building something that truly optimizes the way business intelligence is done. We could also tell you that we&rsquo;re backed by marquee VC's such as Google Ventures and Kleiner Perkins. Or even the fact that we were named one of Inc. Magazine&rsquo;s Best Workplaces of 2022 while also being the only vendor to be recognized in the 2022 Gartner&reg; Magic Quadrant&trade; and the 2022 Gartner&reg; Market Guide. All true, but the real reason you will want to come work for Incorta is that you&rsquo;ll be part of an early team that is building a game-changing analytics product that will allow companies to answer complex questions in seconds...not days or weeks like the current solutions.
 <br/>
 <br/>
 Incorta provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
</div>


Senior Presales Solutions Engineer

Hewlett Packard Enterprise | HPE

<div>MEA Networks for AI: DCN &amp; RIS Sales Specialist<p><br>
</p>This role has been designed as &lsquo;Hybrid&rsquo; with an expectation that you will work on average 2 days per week from an HPE office.<p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
Who We Are:</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today&rsquo;s complex world. Our culture thrives on finding new and better ways to accelerate what&rsquo;s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p><p><b>
Job Description:</b></p><p><br>
</p><p><b>Summary:</b></p><p>
The MEA Network for AI: DCN and RIS Sales Specialist supports the local sales teams in the geo to provide specialist DCN and RIS knowledge and expertise, also working with the local specialist technical resources to drive business outcomes.</p><p></p><p><b>
Job Family Definition:</b></p><p>
Sales Specialists in the Networks for AI domain are responsible for leading the pursuit of complex data center networking and routing solutions within the Middle East and Africa region. They operate as subject matter experts, collaborating closely with account teams to develop pipeline, shape opportunities, and drive end-to-end sales execution. The role requires the ability to combine technical depth with consultative selling, enabling customers to align infrastructure investments with business and AI-driven outcomes while positioning differentiated solutions across the portfolio.</p><p></p><p><b>
Management Level Definition:</b></p><p>
This role operates at an advanced individual contributor level, recognized as an authority in data center networking and routing solutions. It requires the ability to solve complex business challenges through deep analysis, influence strategic direction across accounts and regions, and lead cross-functional virtual teams. The specialist contributes to the development of new approaches and best practices, exercises a high degree of independent judgment, and provides mentorship and guidance to broader sales and technical teams while shaping go-to-market execution and customer engagement strategies.</p><p></p><p><b>
Responsibilities:</b></p><ul><li>
Lead the development and execution of sales pipeline across DCN and RIS opportunities</li><li>
Drive consultative customer engagements with technical and executive stakeholders</li><li>
Shape and influence solution architecture, including proofs of concept and design strategies</li><li>
Own and manage complex, multi-stakeholder sales cycles from qualification to closure</li><li>
Collaborate with account teams, sales engineers, and partners to deliver integrated solutions</li><li>
Develop and maintain strategic account plans aligned to growth objectives</li><li>
Ensure accuracy in forecasting and pipeline management disciplines</li><li>
Support partner enablement and contribute to joint go-to-market initiatives</li><li>
Position AI-ready networking solutions aligned with customer modernization goals</li></ul><p></p><p><b>
Education and Experience:</b></p><ul><li>
Bachelor&rsquo;s degree or equivalent professional experience</li><li>
Typically 8&ndash;12+ years of enterprise sales experience in networking or infrastructure</li><li>
Proven track record of selling complex data center networking or routing solutions</li><li>
Experience managing large, strategic enterprise account sales campaigns</li><li>
Demonstrated success in achieving and exceeding sales quotas</li><li>
Experience engaging with executive-level stakeholders in complex organizations</li><li>
Familiar with MEDDPICC and/or Strategic Selling approaches and framework</li><li>
Experienced presenter and public speaker</li></ul><p></p><p><b>
Knowledge and Skills:</b></p><ul><li>
Deep understanding of data center networking architectures and routing technologies</li><li>
Knowledge of AI infrastructure connectivity and modern data center environments</li><li>
Strong consultative selling and business case development capabilities</li><li>
Advanced account planning, forecasting, and pipeline management skills</li><li>
Ability to navigate complex, multi-stakeholder sales environments</li><li>
Strong collaboration skills across technical, sales, and partner organizations</li><li>
Competitive positioning and market awareness within networking industry</li><li>
Excellent communication and executive engagement capabilities</li></ul><p></p><div><div><div><div><div><div><div><p><b>
Additional Skills:</b></p></div></div></div></div></div></div></div><p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
What We Can Offer You:</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p><b>
Health &amp; Wellbeing</b></p><p>
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.</p><p></p><p><b>
Personal &amp; Professional Development</b></p><p>
We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have &mdash; whether you want to become a knowledge expert in your field or apply your skills to another division.</p><p></p><p><b>
Unconditional Inclusion</b></p><p>
We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.</p><p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
Let's Stay Connected:</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.
</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p>#saudiarabia, #unitedarabemirates
#networking, #sales<p></p><p><b>
Job:</b></p>
Sales<p><b>
Job Level:</b></p>
Master<p><br>
</p><p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p><b>
Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.</b></p><p><br>
</p><p>HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.</p><p><br>
</p><p><b>Recruitment Fraud Alert</b></p><p></p><p>
We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.</p><p></p><p>
All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual&rsquo;s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.</p></div>

MEA Networks for AI: DCN & RIS Sales Specialist

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader"><b>Role Summary</b></h2><p>
We are seeking an experienced <b>Platform Engineer</b> to design, build, automate, and manage enterprise-grade application platforms and cloud-native infrastructure. The ideal candidate will have expertise in CI/CD, containerization, Kubernetes orchestration, Infrastructure as Code (IaC), configuration management, and platform automation to enable secure, scalable, and reliable software delivery.</p><p></p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li>
Design, build, and maintain enterprise platform infrastructure and developer platforms.</li><li>
Develop and manage CI/CD pipelines to automate application build, testing, deployment, and release processes.</li><li>
Deploy and manage containerized applications using Kubernetes and enterprise container platforms.</li><li>
Implement GitOps practices for automated application deployment and infrastructure management.</li><li>
Automate infrastructure provisioning and configuration using Infrastructure as Code (IaC) tools.</li><li>
Manage virtualization and cloud infrastructure environments.</li><li>
Monitor platform performance, availability, and reliability while implementing continuous improvements.</li><li>
Collaborate with Development, DevOps, Security, and Operations teams to deliver scalable platform solutions.</li><li>
Implement platform security, governance, backup, and disaster recovery best practices.</li><li>
Create technical documentation, operational runbooks, and deployment standards.</li></ul><p></p><h2 class="jobSectionHeader"><b>
Must-Have Skills</b></h2><ul><li>
Experience with <b>GitLab OR Jenkins</b> for CI/CD pipeline development and automation.</li><li>
Experience with <b>Argo CD</b> for GitOps-based application deployment.</li><li>
Experience with <b>SonarQube</b> for code quality and static code analysis.</li><li>
Experience with <b>Renovate Bot</b> or comparable dependency management and automation tools.</li><li>
Hands-on experience with <b>Docker OR Docker Compose</b> for containerization.</li><li>
Experience with <b>Kubernetes OR OpenShift OR Oracle Kubernetes Engine (OKE) OR Google Cloud Run</b> for container orchestration and cloud-native application deployment.</li><li>
Experience with <b>Terraform OR Ansible</b> for Infrastructure as Code (IaC) and configuration management.</li><li>
Experience with <b>VMware vCenter OR OpenStack</b> for virtualization and private cloud infrastructure.</li><li>
Strong knowledge of Linux system administration and shell scripting.</li><li>
Understanding of cloud-native architecture, networking, security, and platform engineering best practices.</li></ul><p></p><h2 class="jobSectionHeader"><b>
Good to Have</b></h2><ul><li>
Experience with <b>AWS OR Microsoft Azure OR Google Cloud Platform (GCP)</b>.</li><li>
Experience with <b>Helm OR Kustomize</b>.</li><li>
Knowledge of <b>Prometheus OR Grafana OR ELK Stack</b> for monitoring and observability.</li><li>
Experience with <b>HashiCorp Vault</b> or other secrets management solutions.</li><li>
Familiarity with <b>Python OR Go</b> for platform automation.</li><li>
Experience implementing DevSecOps practices.</li><li>
Knowledge of service mesh technologies such as <b>Istio</b> or <b>Linkerd</b>.</li></ul><p></p><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><ul><li>
Bachelor's or Master's degree in Computer Science, Information Technology, Software Engineering, or a related field.</li><li><b>
3&ndash;12+ years</b> of experience in Platform Engineering, DevOps, Cloud Infrastructure, Site Reliability Engineering (SRE), or Infrastructure Automation.</li></ul><p></p><h2 class="jobSectionHeader"><b>
Preferred Skills</b></h2><ul><li>
Experience designing and operating enterprise Kubernetes platforms.</li><li>
Strong understanding of GitOps, Infrastructure as Code, and cloud-native engineering principles.</li><li>
Experience delivering enterprise DevOps and platform modernization initiatives.</li><li>
Experience working in Agile/Scrum environments.</li><li>
Excellent communication, documentation, and stakeholder management skills.</li><li>
Ability to build secure, scalable, highly available, and automated platform solutions.</li></ul><p>
</p><p>jh9EThp8S0</p></div>

Platform Engineer

<div><h1 class="jobSectionHeader"><b>Job Description: Analytics &amp; Transformation Engineer</b></h1><p><b>
Job Title:</b> Analytics &amp; Transformation Engineer<br>
<b>Experience:</b> 3&ndash;11 Years<br>
<b>Location:</b> <b>Riyadh - Onsite</b><br>
<b>Employment Type:</b> Full-Time</p><h2 class="jobSectionHeader"><b>
Job Overview</b></h2><p>
We are seeking an experienced <b>Analytics &amp; Transformation Engineer</b> with <b>3&ndash;11 years of experience</b> to drive data-driven transformation initiatives through advanced analytics, reporting, measurement frameworks, and business intelligence solutions. The ideal candidate will have expertise in dashboard development, semantic modeling, behavioral analytics, experimentation, and analytics implementation processes. This role requires strong analytical thinking and the ability to translate business objectives into measurable data solutions.</p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li>
Design and develop scalable analytics solutions to support business transformation initiatives.</li><li>
Build executive dashboards, reports, and analytical models to enable data-driven decision-making.</li><li>
Develop and maintain semantic models, metrics frameworks, and reporting standards.</li><li>
Perform behavioral analytics to understand user journeys, engagement patterns, and business performance.</li><li>
Define and implement event tracking strategies, analytics taxonomies, and measurement frameworks.</li><li>
Collaborate with product, engineering, marketing, and business teams to establish data-driven processes.</li><li>
Perform tracking implementation QA and ensure accuracy of analytics data collection.</li><li>
Conduct A/B testing analysis and evaluate the impact of product and business changes.</li><li>
Perform post-launch transaction analysis and ensure analytics readiness for new initiatives.</li><li>
Identify opportunities for process optimization and business improvement through data insights.</li></ul><h2 class="jobSectionHeader"><b>
Required Technical Skills</b></h2><h3 class="jobSectionHeader"><b>
Business Intelligence &amp; Visualization</b></h3><ul><li>
Hands-on experience with <b>Power BI or Tableau or Looker</b> for dashboard creation and analytics reporting.</li><li>
Experience developing interactive dashboards, KPI reporting, and executive-level visualizations.</li></ul><h3 class="jobSectionHeader"><b>
Data Modeling &amp; Analytics Engineering</b></h3><ul><li>
Strong experience with <b>SQL and dbt</b> for data transformation and analytics workflows.</li><li>
Experience designing and maintaining <b>semantic models</b> and reusable analytical datasets.</li><li>
Understanding of data modeling concepts, metrics definitions, and reporting frameworks.</li></ul><h3 class="jobSectionHeader"><b>
Product &amp; Behavioral Analytics</b></h3><ul><li>
Experience with <b>Mixpanel or Amplitude or Google Analytics or Hotjar</b> for user behavior analysis.</li><li>
Strong understanding of behavioral analytics, user journey tracking, and engagement measurement.</li><li>
Experience defining metrics, event taxonomy planning, and tracking implementation QA.</li></ul><h3 class="jobSectionHeader"><b>
Experimentation &amp; Measurement</b></h3><ul><li>
Experience designing and analyzing <b>A/B testing</b> initiatives.</li><li>
Ability to measure business impact through controlled experiments and analytical insights.</li><li>
Experience with post-launch analysis, transaction analysis, and performance tracking.</li></ul><h3 class="jobSectionHeader"><b>
Reporting &amp; Productivity Tools</b></h3><ul><li>
Advanced proficiency in <b>Microsoft Excel</b> for analysis, reporting, and data validation.</li><li>
Experience working with analytics methodologies and comparable tools/platforms.</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><ul><li>
Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Statistics, or a related field.</li><li><b>
3&ndash;11 years</b> of professional experience in Analytics, Business Intelligence, Data Transformation, or Product Analytics.</li><li>
Strong analytical, problem-solving, and communication skills.</li><li>
Ability to work with technical and non-technical stakeholders.</li><li>
Experience working in Agile/Scrum environments.</li></ul><h2 class="jobSectionHeader"><b>
Preferred Skills</b></h2><ul><li>
Experience supporting digital transformation and product analytics initiatives.</li><li>
Knowledge of cloud data platforms such as AWS, Azure, or Google Cloud Platform.</li><li>
Familiarity with data governance, analytics standards, and measurement frameworks.</li><li>
Experience working with large-scale datasets and enterprise reporting environments.</li><li>
Certifications in analytics, BI tools, or cloud technologies are a plus.</li></ul><h2 class="jobSectionHeader"><b>
Key Technology Stack</b></h2><ul><li><b>
Business Intelligence:</b> <b>Power BI or Tableau or Looker</b></li><li><b>
Analytics Engineering:</b> <b>dbt and SQL</b></li><li><b>
Data Modeling:</b> Semantic Models <b>and</b> Metrics Frameworks</li><li><b>
Behavioral Analytics:</b> <b>Mixpanel or Amplitude or Google Analytics or Hotjar</b></li><li><b>
Product Analytics:</b> Behavioral Analytics <b>and</b> Event Taxonomy Planning <b>and</b> A/B Testing</li><li><b>
Reporting &amp; Analysis:</b> Excel <b>and</b> Dashboard Creation</li><li><b>
Analytics Operations:</b> Tracking Implementation QA <b>and</b> Post-Launch Transaction Analysis Readiness</li><li><b>
Comparable Tools &amp; Methods:</b> Similar analytics, BI, and transformation platforms as required by business needs</li></ul><p>
</p><p>YIaTsfUsPM</p></div>

Analytics & Transformation Engineer

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