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Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader">Please read the JD Carefully 
 
Job Title: Senior Data Engineer / SSIS Engineer</h2>
Department/Section: Data and Analytics Office / Data Engineering<h2 class="jobSectionHeader">
Language : Arabic &amp; Non Arabic 
 
Location: Riyadh 
 
Industry - Govt.Sector Org. 
 
Experience: 7+ Years 
 
Job Purpose</h2>
The Senior Data Engineer / SSIS Engineer is responsible for designing, building, and maintaining scalable data pipelines, ETL processes, and data marts that enable reliable analytics and data-driven decision-making. A key focus of this role is the development and maintenance of a robust semantic layer, ensuring structured, consistent, and business-friendly data access across the organization.
The role involves close collaboration with analytics, data science, and business teams to deliver high-quality data models, feature stores, and industrialized data products while upholding best practices in data engineering, data quality, and documentation.<h2 class="jobSectionHeader"> 
Key Responsibilities</h2><h3 class="jobSectionHeader">
1. Data Modeling</h3><ul><li>
Design, develop, and maintain robust logical and physical data models that support analytical and reporting requirements.</li><li>
Ensure models are scalable, performant, and aligned with business needs.</li><li>
Apply industry-standard modeling techniques; experience with Data Vault methodology is a plus.</li></ul><h3 class="jobSectionHeader">
2. Semantic Layer Development</h3><ul><li>
Design, implement, and maintain a centralized semantic layer to enable consistent and reusable business metrics.</li><li>
Define and manage ontologies, taxonomies, hierarchies, and business definitions to ensure a common understanding of data across teams.</li><li>
Enable self-service analytics by simplifying complex data structures for business users.</li></ul><h3 class="jobSectionHeader">
3. Data Pipeline Development (ETL/ELT)</h3><ul><li>
Develop, optimize, and maintain ETL pipelines, with a strong focus on SSIS, to automate data ingestion, transformation, and loading.</li><li>
Ensure high reliability, performance, and availability of data pipelines across multiple source systems and data platforms.</li><li>
Support batch and near&ndash;real-time processing where required.</li></ul><h3 class="jobSectionHeader">
4. Data Quality &amp; Consistency</h3><ul><li>
Implement data quality checks and controls throughout the data lifecycle, starting from source systems.</li><li>
Monitor data accuracy, completeness, and consistency, and proactively resolve data quality issues.</li><li>
Collaborate with stakeholders to define and enforce data quality standards.</li></ul><h3 class="jobSectionHeader">
5. Collaboration with Stakeholders</h3><ul><li>
Work closely with data scientists, analysts, BI developers, and business stakeholders to gather requirements and translate them into scalable data solutions.</li><li>
Support analytical use cases, feature engineering, and reporting needs through well-designed data assets.</li></ul><h3 class="jobSectionHeader">
6. Documentation &amp; Best Practices</h3><ul><li>
Document data models, ETL workflows, semantic layer configurations, and data definitions.</li><li>
Promote best practices in data engineering, naming conventions, version control, and deployment processes.</li><li>
Ensure transparency, traceability, and knowledge sharing across teams.</li></ul><h3 class="jobSectionHeader">
7. Technical Mentorship</h3><ul><li>
Mentor and guide junior data engineers.</li><li>
Provide technical leadership in data modeling, SSIS development, and semantic layer design.</li><li>
Contribute to continuous improvement of data engineering standards and frameworks.</li></ul><h2 class="jobSectionHeader"> 
Required Qualifications &amp; Skills</h2><ul><li>
Bachelor&rsquo;s degree in Computer Science, Data Engineering, Information Systems, or a related field.</li><li>
Strong hands-on experience as a Senior Data Engineer or SSIS Engineer.</li><li>
Advanced expertise in SSIS, SQL, and relational data warehouses.</li><li>
Strong knowledge of data modeling techniques (star schema, snowflake, dimensional modeling).</li><li>
Experience designing and maintaining data marts and semantic layers.</li><li>
Solid understanding of data quality management and ETL best practices.</li><li>
Strong communication skills and ability to work with both technical and non-technical stakeholders.</li></ul><h2 class="jobSectionHeader"> 
Nice to Have</h2><ul><li>
Experience with Data Vault modeling.</li><li>
Exposure to modern analytics platforms, cloud data services, or feature stores.</li><li>
Experience supporting self-service BI and analytics use cases.</li></ul>
ZVjrD44tJV</div>

Senior Data Engineer

Red Sea Global

<div>
 
 
 Be the change. Join the world&rsquo;s most visionary developer.
 
 
 
 
 
 
 Red Sea Global (RSG) is showing that there is a better way to positively shape the places we live, work and travel.
 
 
 
 
 
 We are purpose-driven and committed to people and planet. Our transformative programs are a driving force to achieving Vision 2030, as well as leading the world towards regenerative tourism.
 
 
 
 
 
 
 Join RSG and be part of the positive change for Saudi Arabia and the world.
 
 
 
 
 
 
 
 Job Purpose:
 
 
 <ul>
 <li>
 The Senior Data Engineer is responsible for designing, building, and maintaining scalable, secure, and high-performance data pipelines and infrastructure that power the organization&rsquo;s analytics, artificial intelligence, and mission-critical decision-making systems.
 </li>
 <li>
 The role ensures that data is ingested, transformed, stored, and made available in a reliable, timely, and Personal Data Protection Law (PDPL)-compliant manner, enabling AI-ready datasets aligned with Saudi Vision 2030 and the National Data Strategy.
 </li>
 </ul>
 
 
 
 
 
 Job Responsibilities:
 
 
 
 
 
 
 
 Architect and build end-to-end data pipelines:
 
 
 <ul>
 <li>
 Design, develop, and maintain scalable ETL/ELT workflows using tools such as Apache Spark, dbt, Airflow, Kafka, Informatica IDC, to ingest and process structured, semi-structured, and unstructured data from internal and external sources.
 </li>
 </ul>
 
 
 
 
 
 Ensure PDPL and data privacy compliance:
 
 
 <ul>
 <li>
 Implement data masking, tokenization, anonymization, and consent-aware processing; conduct Data Protection Impact Assessments (DPIAs) for new pipelines; enforce row-level security and audit logging in compliance with the Personal Data Protection Law (PDPL) and SDAIA guidelines.
 </li>
 </ul>
 
 
 
 
 
 Build and manage cloud-native data platforms:
 
 
 <ul>
 <li>
 Lead the implementation and optimization of enterprise data lakes/lakehouses (e.g., Delta Lake, Azure Synapse, AWS Lake Formation) and data warehouses (Snowflake) on AWS, Azure, or Google Cloud, ensuring high availability, disaster recovery, and cost governance.
 </li>
 </ul>
 
 
 
 
 
 Automate infrastructure and deployments Develop Infrastructure-as-Code:
 
 
 <ul>
 <li>
 (Terraform, CloudFormation) and CI/CD pipelines (GitHub Actions, Azure DevOps, Jenkins) to enable one-click deployments, automated testing of data quality, and zero-downtime schema migrations.
 </li>
 </ul>
 
 
 
 
 
 Guarantee data quality and observability:
 
 
 <ul>
 <li>
 Define and enforce data quality rules, monitoring, and alerting using Great Expectations, Monte Carlo, Soda, or custom frameworks; implement end-to-end lineage tracking and real-time anomaly detection.
 </li>
 </ul>
 
 
 
 
 
 Optimize performance and cost Continuously:
 
 
 <ul>
 <li>
 Tune data extraction jobs, partition strategies, and storage formats; reduce cloud spend by 20&ndash;30% annually through rightsizing, spot instances, and auto-scaling policies.
 </li>
 </ul>
 
 
 
 
 
 Collaborate with data consumers and stakeholders:
 
 
 <ul>
 <li>
 Partner with data scientists, analysts, and business units to translate requirements into reliable data products; publish datasets to the enterprise data catalog and maintain clear documentation and SLAs.
 </li>
 </ul>
 
 
 
 
 
 Lead technical governance and best practices:
 
 
 <ul>
 <li>
 Chair the Data Engineering Chapter; establish and enforce coding standards, peer review processes, and architectural decisions; mentor mid-level and junior engineers.
 </li>
 </ul>
 
 
 
 
 
 Support AI-readiness and national initiatives:
 
 
 <ul>
 <li>
 Deliver &ldquo;AI-ready&rdquo; datasets that meet SDAIA and Vision 2030 quality benchmarks (golden datasets, metadata completeness &ge;95%, freshness SLAs); enable federated analytics across government entities where required.
 </li>
 </ul>
 
 
 
 
 
 Assist Incident response:
 
 
 <ul>
 <li>
 Assist in root-cause analysis and remediation of pipeline failures
 </li>
 </ul>
 
 
 
 
 
 Contribute to strategic roadmaps:
 
 
 <ul>
 <li>
 Provide input into the 3&ndash;5 year data platform strategy, technology evaluations, and annual budgeting for tools and cloud resources
 </li>
 </ul>
 
 
 
 
 
 Problem Solving and Innovation
 
 :
 
 <ul>
 <li>
 Collaborate with cross-functional teams to identify and address business challenges using data-driven approaches.
 </li>
 <li>
 Develop innovative solutions and recommendations based on data-driven insights.
 </li>
 </ul>
 
 
 
 
 
 Stakeholder Engagement
 
 :
 
 <ul>
 <li>
 Effectively communicate findings and recommendations to stakeholders at all levels, tailoring the message to the audience's needs.
 </li>
 <li>
 Build strong relationships with internal and external stakeholders to foster collaboration and support.
 </li>
 </ul>
 
 
 
 
 
 Job Requirements:
 
 
 
 
 
 
 
 Qualifications &amp; Experience:
 
 
 <ul>
 <li>
 6+ years of prior relevant experience in data analysis or a similar IT field, with significant experience in leadership and strategic roles.
 </li>
 <li>
 Proven ability to manage large teams and drive organizational change.
 </li>
 <li>
 A bachelor's or master's degree in a quantitative field such as data science, computer science, statistics, mathematics, or engineering is preferred.
 </li>
 </ul>
 
 
 
 
 
 Skills:
 
 
 
 
 
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Python (expert level) &ndash; including type hints, packaging, unit/integration testing (pytest), and building reusable libraries
 </li>
 <li>
 SQL (expert level) &ndash; complex analytical queries, CTEs, window functions, performance tuning, and query optimization
 </li>
 <li>
 Informatica &ndash; building and optimizing large-scale batch and streaming jobs on managed platforms (Snowflake)
 </li>
 <li>
 Kafka (Confluent) &ndash; designing and operating real-time event-driven pipelines
 </li>
 </ul>
 
 
 
 
 
 At least one major cloud platform at expert level:
 
 
 <ul>
 <li>
 AWS (S3, Glue, EMR, Lambda, Athena, Lake Formation) or
 </li>
 <li>
 Azure (ADLS Gen2, Azure Data Factory, Synapse Analytics, Databricks) or
 </li>
 <li>
 Google Cloud (BigQuery, Dataflow, Cloud Storage, Pub/Sub)
 </li>
 <li>
 Data orchestration with Apache Airflow (writing production-grade DAGs, custom operators, task dependencies) or Azure Data Factory
 </li>
 <li>
 DBT (data build tool) &ndash; modeling, testing, documentation, incremental models, Jinja templating
 </li>
 <li>
 Infrastructure as Code &ndash; Terraform or CloudFormation for provisioning data infrastructure
 </li>
 <li>
 CI/CD for data pipelines &ndash; GitHub Actions, GitLab CI
 </li>
 <li>
 Version control with Git (branching strategies, code reviews, GitFlow)
 </li>
 <li>
 Linux/Unix fundamentals and shell scripting for automation and troubleshooting
 </li>
 </ul>
 
 
 
 
 
 Soft Skills:
 
 
 <ul>
 <li>
 Problem-solving and analytical thinking.
 </li>
 <li>
 Strong communication and interpersonal skills.
 </li>
 <li>
 Ability to work independently and as part of a team.
 </li>
 <li>
 Curiosity and a passion for learning new technologies.
 </li>
 <li>
 Business acumen and understanding of data-driven decision-making.
 </li>
 <li>
 Strategic thinking with a deep understanding of industry trends and best practices.
 </li>
 </ul>
 
 
 
 
 
 Job Context:
 
 
 <ul>
 <li>
 The Senior Data Engineer will be based in Riyadh, Saudi Arabia with a requirement to work from any of the office location occupied by RSG and its subsidiaries.
 </li>
 <li>
 In addition the Data Scientist will be expected to also work, from time to time and possibly for extended periods from any project site.
 </li>
 <li>
 The Senior Data Engineer is part of a team of varying grades and different roles which delivers services to other areas of RSG, its subsidiaries and Customers as required.
 </li>
 </ul>
 
 
 
 
 
 Job Financial Dimensions:
 
 
 <ul>
 <li>
 Refers to the financial responsibilities and impacts associated with a role. This can include budget management, cost control, revenue generation, financial reporting, and resource allocation.
 </li>
 <li>
 These dimensions highlight the role's influence on the organization's financial health, ensuring that the employee contributes to fiscal responsibility and the achievement of financial targets.
 </li>
 </ul>
 
 
 
 
 
 For more information about Red Sea Global, visit:
 
 
 
 🌐
 
 Website
 
 :
 
 https://www.redseaglobal.com/en
 
 
 
 🔗
 
 LinkedIn
 
 :
 
 https://www.linkedin.com/company/red-sea-global/
 
 
 
 ▶️
 
 YouTube
 
 :
 
 https://www.youtube.com/channel/UCMo1fSbA3iOhvvC8OP0IYNA
 
 
 
 🐦
 
 Twitter: @TheRedSeaGlobal
 
 
 
 
</div>

WEbook.com

<div>Do you want to love what you do at work? Do you want to make a difference, an impact, transform peoples lives? Do you want to work with a team that believes in disrupting the normal, boring, and average?
If yes, then this is the job you're looking for ,webook.com is Saudi's #1 event ticketing and experience booking platforms in terms of technology, features, agility, revenue serving some of the largest mega events in the Kingdom surpassing over 2 billion sales.
Key Responsibilities:<ul>
<li>
Data Integration and ETL Development</li>
<li>Architect and implement robust data integration pipelines to extract, transform, and load data from various sources (e.g., databases, SaaS applications, APIs, and flat files) into a centralized data platform.</li>
<li>Design and develop complex ETL (Extract, Transform, Load) processes to ensure data quality, consistency, and reliability.</li>
<li>Optimize data transformation workflows to improve performance and scalability.</li>
<li>Data Infrastructure and Platform Management:</li>
<li>Implement and maintain data ingestion, processing, and storage solutions to support the organization's data and analytics requirements.</li>
<li>Ensure the reliability, security, and availability of the data infrastructure through effective monitoring, troubleshooting, and disaster recovery planning.</li>
<li>Data Governance and Metadata Management:</li>
<li>Collaborate with the data governance team to establish data policies, standards, and procedures.</li>
<li>Develop and maintain a comprehensive metadata management system to ensure data lineage, provenance, and traceability.</li>
<li>Implement data quality control measures and data validation processes to ensure the integrity and reliability of the data.</li>
</ul>
Requirements<ul>
<li>
5-6 years of experience as a Data Engineer or a related role in a data-driven organization.</li>
<li>Proficient in designing and implementing data integration and ETL pipelines using tools such as Apache Airflow, airbyte, or any cloud-based data integration services.</li>
<li>Strong experience in setting up and managing data infrastructure, including data lakes, data warehouses, and real-time streaming platforms (e.g. Elastic , Google Bigquery, Mongodb).</li>
<li>Expertise in data modeling, data quality management, and metadata management.</li>
<li>Proficient in programming languages such as Python, or Java, and experience with SQL.</li>
<li>Familiarity with cloud computing platforms (e.g., AWS,Google Cloud) and DevOps practices.</li>
<li>Excellent problem-solving skills and the ability to work collaboratively with cross-functional teams.</li>
<li>Strong communication and presentation skills to effectively translate technical concepts to business stakeholders.</li>
</ul>
Preferred Qualifications:<ul>
<li>
Familiarity with data visualization and business intelligence tools (e.g., Tableau, qlik.etc).</li>
<li>Knowledge of machine learning and artificial intelligence concepts and their application in data-driven initiatives.</li>
<li>Project management experience and the ability to lead data integration and infrastructure initiatives.</li>
<li>If you are a seasoned Data Engineer with a passion for building scalable and robust data integration solutions, we encourage you to apply for this exciting opportunity</li></ul></div>

DeepSource Technologies

<ul>
<li>Design, implement, and manage complex Splunk environments to ensure high availability and performance.</li>
<li>Develop and deploy Splunk applications, dashboards, and reports for monitoring and analysis.</li>
<li>Perform data ingestion from various sources and ensure data accuracy and integrity.</li>
<li>Troubleshoot and resolve technical issues related to Splunk instances and forwarders.</li>
<li>Optimize Splunk searches, queries, and performance using best practices.</li>
<li>Work closely with security, operations, and development teams to integrate Splunk into existing workflows.</li>
<li>Conduct training and provide support to team members and end-users on Splunk capabilities.</li>
<li>Stay updated with the latest Splunk features, best practices, and industry trends.</li>
</ul>
Requirements: 
<ul>
<li>Proven experience as a Senior Splunk Engineer with 5+ years of hands-on experience in deploying and managing Splunk environments.</li>
<li>Strong knowledge of Splunk architecture, administration, and data ingestion methodologies.</li>
<li>Experience in creating Splunk dashboards, reports, and alerts.</li>
<li>Familiarity with scripting languages (e.g., Python, PowerShell) for automation and customization.</li>
<li>Excellent troubleshooting skills and ability to work under pressure.</li>
<li>Strong analytical and problem-solving abilities.</li>
<li>Experience working in a collaborative team environment.</li>
<li>Certification as a Splunk Certified Admin or Splunk Certified Architect is a plus.</li>
</ul>
Benefits: 
o Medical insurance including family.
 o Flight tickets including family.

Senior Splunk Engineer - L3 - Saudi Nationals

VaporVM

<div><div><div>Date Posted:</div>
06 January, 2026</div>
<div><div>Industry:</div>
IT Services and IT Consulting</div>
<div><div>Location:</div>
VAPORVM IT SERVICES DMCC</div></div>
 <div><h2 class="jobSectionHeader">Job Description:</h2> 
<div>
Location: Riyadh, KSA

Contract Duration: 6 Months (Renewable)

Arabic Speaking is must

Role Overview

We are seeking a highly skilled Senior DPS Engineer to join our team in Riyadh. The ideal candidate will have extensive experience in Dell EMC Data Protection Suite (DPS) technologies, including CRS, NetWorker, PPDM, vProtect, Avamar, and Data Domain. This role requires deep technical expertise in backup and recovery solutions, replication strategies, and operational workflows across diverse environments.

Key Responsibilities

Design, implement, and manage DPS solutions including CRS, NetWorker, PPDM, Avamar, and Data Domain.

Ensure smooth day-to-day operations and troubleshoot complex backup and recovery issues.

Perform backup and restore operations for multiple platforms

(AIX, SQL, DB, VMware, Exchange, NAS, Kubernetes, Nutanix).

Manage replication strategies and DD MTree configurations.

Develop and maintain detailed Runbooks for operational excellence.

Collaborate with cross-functional teams to ensure data protection compliance and best practices.

Required Technical Skills

CRS:

Strong understanding of CRS design and operations.

Expertise in Data Domain replication.

Full knowledge of recovery modes: Sandbox Recovery, Recovery Sandbox, Alternative Recovery.

NetWorker:

In-depth knowledge of architecture, design, and workflows.

Backup/restore expertise for AlX, SQL, DB, VMware, Exchange.

Cloning operations and DD MTree replication.

PPDM:

Strong understanding of PPDM design and operations.

Backup/restore workflows for SQL, VMware, NAS, Kubernetes,Filesystem.</div></div>

Senior DPS Engineer

JASARA PMC

JASARA PMC is seeking a highly competent Senior Planning Engineer to enhance our project planning team. In this role, you will be responsible for developing and maintaining project schedules, managing timelines, and coordinating with various stakeholders to ensure that project objectives are met efficiently. You will analyze project progress, identify potential delays, and propose solutions to keep projects on track. Your contributions will play a key role in driving project success and optimizing resource allocation.
 
Requirements: 
<ul>
<li>Bachelor's degree in Civil Engineering, Construction Management, or a closely related field.</li>
<li>At least 8 years of relevant experience in project planning and scheduling within the construction industry.</li>
<li>Proficiency in project management tools such as Primavera P6 or Microsoft Project.</li>
<li>Strong ability to interpret and analyze complex data to inform project decisions.</li>
<li>Excellent communication and interpersonal skills for effective stakeholder engagement.</li>
<li>Demonstrated ability to work collaboratively in a team-oriented environment.</li>
<li>Familiarity with industry standards and best practices in project planning and execution.</li>
</ul>

Senior Planning Engineer

AIQU

<div>
 
 We are currently hiring for Senior Software Engineer - Java to join one of our major clients based out of KSA.
 
 
 
 
 
 Job Details:
 
 
 
 
 
 
 
 
 Role: Senior Software Engineer - Java
 
 
 Employment Type: Contract- 12 months &amp; extendable
 
 
 Work Location: Riyadh, KSA
 
 
 Notice Period: 30 days or less
 
 
 
 
 
 
 
 
 Job description:
 
 
 
 
 <ul>
 <li>
 Knowledge of object-oriented design (OOD)
 </li>
 <li>
 Strong Knowledge in core Java, JEE, spring boot, SQL/No SQL, REST, Hibernate and JQuery, Micro services, Kafka
 </li>
 <li>
 Front end Technologies (Angular 7 &amp; above) or strong ReactJS or VueJS
 </li>
 <li>
 Familiarity with Micro Services Architecture
 </li>
 <li>
 Act as a higher-level technical expert in design development, coding, testing, and debugging new software or significant enhancements to existing software
 </li>
 <li>
 Determine operational feasibility by evaluating analysis, problem definition, requirements, solution development and proposed solutions
 </li>
 </ul>
 
 
</div>

Java Software Engineer

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