software engineer

civil engineer

electrical engineer

engineer

facility engineer

ml engineer

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader"><b>Job Description: AI / ML Engineer</b></h1><p><b>
Job Title:</b> AI / ML 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 a skilled <b>AI / ML Engineer</b> with <b>3&ndash;11 years of experience</b> to design, develop, deploy, and optimize machine learning and generative AI solutions. The ideal candidate will have hands-on expertise in building scalable AI/ML models, working with cloud-native AI platforms, and implementing production-ready machine learning pipelines. Experience with modern AI frameworks, large language models (LLMs), and MLOps practices is highly desirable.</p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li>
Design, develop, train, and deploy machine learning and deep learning models for enterprise applications.</li><li>
Build and optimize end-to-end ML pipelines for data ingestion, model training, evaluation, and deployment.</li><li>
Develop Generative AI and LLM-powered applications using modern AI frameworks.</li><li>
Collaborate with data engineers, software developers, and business stakeholders to deliver AI-driven solutions.</li><li>
Deploy and monitor ML models on cloud platforms while ensuring scalability, reliability, and security.</li><li>
Optimize model performance through feature engineering, hyperparameter tuning, and continuous evaluation.</li><li>
Implement MLOps best practices including model versioning, monitoring, and CI/CD automation.</li><li>
Stay current with advancements in AI, machine learning, and cloud AI services.</li></ul><h2 class="jobSectionHeader"><b>
Required Technical Skills</b></h2><h3 class="jobSectionHeader"><b>
Cloud AI Platforms</b></h3><ul><li>
Hands-on experience with <b>GCP Vertex AI or Azure Machine Learning or AWS SageMaker</b>.</li><li>
Experience with <b>Azure OpenAI or AWS Bedrock</b> for Generative AI solutions.</li><li>
Experience with <b>BigQuery ML and Dataflow</b> for data processing and machine learning workflows.</li></ul><h3 class="jobSectionHeader"><b>
Programming &amp; Machine Learning</b></h3><ul><li>
Strong proficiency in <b>Python</b>.</li><li>
Experience developing machine learning solutions using <b>TensorFlow or PyTorch</b>.</li><li>
Strong understanding of supervised, unsupervised, reinforcement learning, and deep learning concepts.</li></ul><h3 class="jobSectionHeader"><b>
Generative AI &amp; LLM Frameworks</b></h3><ul><li>
Experience with <b>Hugging Face and LangChain</b> for building LLM-powered applications.</li><li>
Knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases is preferred.</li></ul><h3 class="jobSectionHeader"><b>
Data Engineering &amp; Analytics</b></h3><ul><li>
Experience with <b>Databricks</b> for data engineering, model development, and analytics workflows.</li><li>
Strong understanding of data preprocessing, feature engineering, and large-scale data processing.</li></ul><h3 class="jobSectionHeader"><b>
MLOps &amp; Deployment</b></h3><ul><li>
Experience deploying machine learning models into production.</li><li>
Knowledge of Docker, Kubernetes, CI/CD pipelines, and model monitoring is an advantage.</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><ul><li>
Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.</li><li><b>
3&ndash;11 years</b> of professional experience in AI, Machine Learning, or Data Science.</li><li>
Strong analytical, mathematical, and problem-solving skills.</li><li>
Experience working in Agile development environments.</li><li>
Excellent communication and collaboration skills.</li></ul><h2 class="jobSectionHeader"><b>
Preferred Skills</b></h2><ul><li>
Experience with Large Language Models (LLMs) and Generative AI applications.</li><li>
Knowledge of Retrieval-Augmented Generation (RAG), vector databases, and AI agents.</li><li>
Experience with distributed model training and cloud-native AI architectures.</li><li>
Cloud certifications in AWS, Azure, or Google Cloud are a plus.</li></ul><h2 class="jobSectionHeader"><b>
Key Technology Stack</b></h2><ul><li><b>
Cloud AI:</b> <b>GCP Vertex AI or Azure Machine Learning or AWS SageMaker</b></li><li><b>
Generative AI:</b> <b>Azure OpenAI or AWS Bedrock</b> <b>and</b> Large Language Models (LLMs)</li><li><b>
Data Processing:</b> <b>BigQuery ML and Dataflow</b> <b>and</b> Databricks</li><li><b>
Programming:</b> Python</li><li><b>
Machine Learning Frameworks:</b> <b>TensorFlow or PyTorch</b></li><li><b>
LLM Frameworks:</b> <b>Hugging Face or LangChain</b></li><li><b>
MLOps:</b> Docker <b>and</b> Kubernetes <b>and</b> CI/CD (Preferred)</li></ul><p>
</p><p>kmeseaCmpf</p></div>

AI / ML Engineer

Tabby

<div><h3 class="jobSectionHeader"><b>Description</b></h3><div><br>
Tabby builds financial products used by millions of users across the GCC. Alongside core fintech products, we are actively building internal platforms for AI agents and LLM-based automation used across the company.</div><div>
<br>
This internship is not educational by default. It is an engineering-adjacent role with real production impact.<br>
</div><div>The AI Agents Platform team builds an internal platform that allows teams across Tabby to create, run, evaluate, and iterate on AI agents. These agents automate real human workflows: customer support, operations, fraud checks, data validation, and internal tooling.</div><div>
<br>
The platform is young, evolving fast, and already used by multiple teams. The internship is designed for candidates who are comfortable working in ambiguous, experimental environments and can think in systems rather than isolated tasks.</div><div></div><h3 class="jobSectionHeader"><b><br>
Key Responsibilities</b></h3><div><br>
This is not a demo or experimentation-only role. Interns work on real agents, workflows, and internal tools.<br>
</div><ul><li>Build AI agents and automations using internal no-code and low-code tooling</li>
<li>Configure agent workflows, tools, and orchestration logic</li>
<li>Integrate agents with internal systems via APIs and tools</li>
<li>Participate in designing agent architectures and workflows</li>
<li>Help test, evaluate, and iterate on agent behavior and quality</li>
<li>Work with datasets and evaluation results to improve agent performance</li>
<li>Document agent logic, workflows, and best practices</li>
<li>Work closely with platform engineers, product managers, and internal users</li>
</ul><ul><li>Strong logical and systems thinking</li>
<li>Ability to break down human workflows into structured steps</li>
<li>Understanding of how web services, APIs, and tools interact</li>
<li>Experience with no-code or low-code platforms</li>
<li>Basic understanding of data formats (JSON), APIs, and webhooks</li>
<li>Ability to reason about edge cases, failure modes, and correctness</li>
<li>High level of ownership and responsibility</li>
<li>Comfort with fast iteration and experimental environments</li>
<li>English sufficient for documentation and team communication</li>
</ul><ul><li>Experience with LLMs, AI agents, or automation</li>
<li>Experience building internal tools or automations</li>
<li>Experience with Python</li>
<li>Education in data science, machine learning field</li>
<li>Understanding of prompt design or agent orchestration concepts</li>
<li>Familiarity with evaluation, testing, or quality metrics</li>
<li>Curiosity about AI system behavior and limitations</li>
</ul><ul><li>Expert-level knowledge of LLMs, agent frameworks, or prompt engineering</li>
<li>Prior professional AI, automation, or platform engineering experience</li>
<li>Mastery of all listed no-code platforms or LLM tooling</li>
<li>Deep knowledge of ML internals, model training, or RAG architectures</li></ul><br>
<h3 class="jobSectionHeader"><b>
Skills, Knowledge &amp; Expertise</b></h3><br>
<ul>
<li>
Saudi nationals only</li>
<li>Self-funded internship by Tabby</li>
<li>We welcome both current students and fresh grads</li>
<li>We expect a full-time level of engagement throughout the internship. The program is not part-time: interns should be ready to contribute at a full working-day pace. We understand that students may occasionally need flexibility for classes or exams, which can be aligned with the mentor in advance, but overall performance, ownership, and context involvement are expected at a full-time level.</li></ul><div></div><h3 class="jobSectionHeader"><b><br>
Format</b></h3><br>
<ul>
<li>
Paid internship</li>
<li>Full integration into the automations building team</li>
<li>Distributed engineering team across multiple countries</li>
<li>Open to Saudi nationals (Saudi passport required); location flexible &mdash; candidates may be based outside KSA</li>
<li>Office-first in Riyadh where possible</li>
<li>Clear path to a junior AI automation, no-code engineer, or platform role based on performance</li>
</ul><div>This internship is intentionally demanding and designed for candidates aiming for fast professional growth in AI agents and automation engineering.</div><div></div><h3 class="jobSectionHeader"><b><br>
About Tabby</b></h3><div>
Tabby creates financial freedom in the way people shop, earn and save, by reshaping their relationship with money.<br>
<br>
The company&rsquo;s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 32,000 global brands and small businesses, including Amazon, Noon, IKEA and Shein use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores.<br>
<br>
Tabby has generated over $7 billion in transaction volume for its partner brands and has the highest rated, most reviewed, largest and fastest growing app of any fintech in the GCC region.<br>
<br>
Tabby launched operations in 2020 and has raised +$1 billion in equity and debt funding from global and regional investors.</div></div>

AI Intern

<div><h1 class="jobSectionHeader"><b>Job Description: AI Tools &amp; Enablement Specialist</b></h1><p><b>
Job Title:</b> AI Tools &amp; Enablement Specialist<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>AI Tools &amp; Enablement Specialist</b> with <b>3&ndash;11+ years of experience</b> to drive the adoption, enablement, and operationalization of AI tools across business and technology teams. The ideal candidate will have hands-on experience with enterprise AI platforms, productivity AI tools, low-code automation platforms, data science environments, and API-based AI integrations. This role focuses on enabling teams to effectively leverage AI capabilities, build AI-powered solutions, and accelerate business transformation initiatives.</p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li>
Enable enterprise adoption of AI tools and platforms across business functions.</li><li>
Evaluate, configure, and implement AI solutions aligned with organizational needs.</li><li>
Support AI experimentation, prototyping, and rapid solution development.</li><li>
Develop AI-enabled workflows, automation solutions, and productivity enhancements.</li><li>
Create enablement materials, best practices, and usage guidelines for AI platforms.</li><li>
Collaborate with business stakeholders, data teams, and engineering teams to identify AI opportunities.</li><li>
Configure and support enterprise AI assistants, AI copilots, and generative AI solutions.</li><li>
Integrate AI capabilities with enterprise applications using APIs and automation frameworks.</li><li>
Support governance, security, and responsible AI adoption practices.</li><li>
Monitor AI tool usage, adoption metrics, and business impact.</li><li>
Provide training and guidance to users on effective AI utilization.</li></ul><h2 class="jobSectionHeader"><b>
Required Technical Skills</b></h2><h3 class="jobSectionHeader"><b>
AI &amp; Data Science Platforms</b></h3><ul><li>
Hands-on experience with <b>Dataiku or Databricks or Vertex AI Workbench</b> for AI experimentation, analytics, and machine learning workflows.</li><li>
Experience supporting AI/ML development environments and collaborative data science platforms.</li></ul><h3 class="jobSectionHeader"><b>
Generative AI &amp; AI Assistants</b></h3><ul><li>
Experience with <b>Claude or ChatGPT Enterprise or Gemini</b> for enterprise AI enablement and productivity use cases.</li><li>
Understanding of prompt engineering, AI assistants, and Generative AI adoption practices.</li><li>
Experience evaluating AI capabilities for business workflows.</li></ul><h3 class="jobSectionHeader"><b>
Low-Code &amp; Automation Platforms</b></h3><ul><li>
Experience with <b>Microsoft Power Platform or Appian</b> for workflow automation, application development, and business process enablement.</li><li>
Ability to design AI-powered automation solutions using low-code platforms.</li></ul><h3 class="jobSectionHeader"><b>
AI Integration &amp; APIs</b></h3><ul><li>
Experience integrating AI services using <b>APIs</b>.</li><li>
Understanding of REST APIs, authentication methods, and connecting AI capabilities with enterprise applications.</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><ul><li>
Bachelor's degree in Computer Science, Artificial Intelligence, Information Technology, Software Engineering, or a related field.</li><li><b>
3&ndash;11+ years</b> of experience in AI enablement, automation, analytics, digital transformation, software development, or technology consulting.</li><li>
Strong understanding of AI concepts, Generative AI capabilities, and enterprise AI adoption.</li><li>
Excellent communication, training, and stakeholder management skills.</li><li>
Ability to translate business requirements into AI-driven solutions.</li></ul><h2 class="jobSectionHeader"><b>
Preferred Skills</b></h2><ul><li>
Experience implementing enterprise AI adoption programs.</li><li>
Knowledge of AI governance, security, and responsible AI practices.</li><li>
Experience working with cloud AI platforms such as AWS, Azure, or Google Cloud.</li><li>
Familiarity with automation workflows, process optimization, and digital transformation initiatives.</li><li>
Experience creating AI training programs and user enablement content.</li></ul><h2 class="jobSectionHeader"><b>
Key Technology Stack</b></h2><ul><li><b>
AI &amp; Data Platforms:</b> <b>Dataiku or Databricks or Vertex AI Workbench</b></li><li><b>
Generative AI Tools:</b> <b>Claude or ChatGPT Enterprise or Gemini</b></li><li><b>
Automation Platforms:</b> <b>Microsoft Power Platform or Appian</b></li><li><b>
Integration:</b> APIs <b>and</b> REST-based AI service integrations</li><li><b>
AI Enablement:</b> AI Adoption <b>and</b> User Training <b>and</b> AI Workflow Optimization</li><li><b>
Enterprise AI Practices:</b> Responsible AI <b>and</b> Governance <b>and</b> Business Process Transformation</li></ul><p>
</p><p>CdGObnJzLD</p></div>

AI Tools & Enablement Specialist

Hilton

<div><p><b>Exceptional Hospitality Starts with You
</b></p><p>Picture yourself brightening someone&rsquo;s day. When you join our Hotels team, that&rsquo;s exactly what you&rsquo;ll do every time you come to work! As an <b>Assistant Chief Engineer </b>, you&rsquo;re not just overseeing physical building and systems maintenance and repairs &ndash; you&rsquo;re spreading the light and warmth of hospitality by delivering memorable experiences that make the stay for every guest.</p></div>
<br><div><p>Here's what you'll do during a typical day:
</p><ul><li><b>Lead and develop a high-performing team: </b>Recruit, train, supervise, and mentor team members; conduct performance evaluations, provide professional development opportunities, and recognise achievements to build a motivated and high-performing team
</li><li><b>Assist Chief Engineer with managing daily maintenance operations: </b>Oversee maintenance activities, prioritize tasks, and verify completion through the property maintenance management system; ensure timely resolution of service requests, guest concerns, and emergencies
</li><li><b>Ensure safety and compliance: </b>Oversee the maintenance of the physical building, mechanical systems, electrical systems, HVAC, and life safety systems, coordinate inspections, and uphold safety and compliance standards in line with national and local regulations
</li><li><b>Assist Chief Engineer with driving engineering performance: </b>Monitor departmental Key Performance Indicators (KPIs), including equipment upkeep, audit results, and team productivity and act as need to improve performance
</li><li><b>Support hotel-wide operational leadership: </b>Collaborate with the broader hotel leadership team in overseeing evacuation procedures, duty manager coverage, and other safety protocols as needed
</li><li><b>Oversee contractor work: </b>Supervise external contractors and inspect completed work for quality and compliance
</li><li><b>Lead energy efficiency initiatives: </b>Support and oversee property-wide energy conservation programs to reduce utility costs</li></ul></div>
<br><div><p><b>What It Takes to Make the Stay
</b></p><p>At Hilton, our core values define what it takes to succeed here and guide the qualities we look for in every team member:
</p><p>A passion for spreading the light and warmth of <b>Hospitality </b>. Acting with <b>Integrity </b>and always doing the right thing. Inspiring others through <b>Leadership </b>. A belief that <b>Teamwork </b>drives the best outcomes. A sense of <b>Ownership </b>and accountability. And a focus on the <b>Now </b>, bringing urgency and discipline to every moment, knowing it can make a lasting impact.</p></div>
<br><div><div><div><b>Join an Award-Winning Workplace Culture
</b><br>
</div><div>At Hilton, we don&rsquo;t just deliver exceptional experiences for our guests&mdash;we build an exceptional workplace for the Team Members who make it all possible. As a global leader in hospitality, we&rsquo;ve welcomed more than 3 billion guests worldwide, all while staying true to our founding vision: to fill the earth with the light and warmth of hospitality.
</div><div>Our award-winning culture has earned us repeated recognition on the World&rsquo;s Best Workplaces list by Great Place to Work and Fortune. With our suite of world-class brands , and a company-wide commitment to providing the best stay for every guest, we&rsquo;re setting new standards for the future of travel.
</div><div>Whether you&rsquo;re starting your career or exploring something new, Hilton supports your journey every step of the way. Come for the job, stay for the career&mdash;and help us make every stay a little more magical.
</div></div><div>Curious about life at Hilton? Explore our Careers Blog to see why we&rsquo;re more than a great place to stay&mdash;we&rsquo;re a great place to work.</div></div>

Assistant Chief Engineer

IMAR OVERSEAS SAUDI CO.W.L.L

<p><b>Job Title:</b> Civil Engineer &ndash; Saudi Nationals Only</p><p><b>Location:</b> Saudi Arabia<br/><b>Job Type:</b> Full-Time<br/><b>Industry:</b> Construction</p><p>Job Summary</p><p>We are seeking a motivated and qualified <b>Civil Engineer</b> to join our construction team. The successful candidate will be responsible for planning, supervising, and coordinating construction activities, ensuring projects are completed safely, on schedule, within budget, and in accordance with project specifications and quality standards.</p><p>Key Responsibilities</p><ul><li>Supervise and monitor daily construction activities on-site.</li><li>Review project drawings, specifications, and technical documents.</li><li>Coordinate with project managers, consultants, subcontractors, and clients.</li><li>Ensure work is executed in compliance with project requirements, quality standards, and applicable regulations.</li><li>Prepare work schedules, progress reports, and site documentation.</li><li>Monitor project progress and identify potential risks or delays.</li><li>Conduct site inspections and ensure compliance with safety and quality requirements.</li><li>Assist with quantity take-offs, material planning, and cost control.</li><li>Review contractor submissions, shop drawings, and as-built documentation.</li><li>Support project closeout activities and final documentation.</li></ul><p>Qualifications</p><ul><li><b>Saudi National (Required).</b></li><li>Bachelor's degree in Civil Engineering.</li><li>Registration with the <b>Saudi Council of Engineers (SCE)</b> is preferred.</li><li>1&ndash;5 years of experience in construction projects (fresh graduates with relevant internships are encouraged to apply).</li><li>Strong knowledge of construction methods, engineering principles, and project management practices.</li><li>Proficiency in AutoCAD and Microsoft Office; knowledge of Primavera P6, MS Project, or other engineering software is an advantage.</li><li>Strong communication, analytical, and problem-solving skills.</li><li>Ability to work effectively in a fast-paced site environment.</li></ul><p>Preferred Skills</p><ul><li>Site supervision and construction management.</li><li>Reading and interpreting engineering drawings.</li><li>Project planning and scheduling.</li><li>Quantity surveying and material estimation.</li><li>Quality assurance and quality control (QA/QC).</li><li>Knowledge of Saudi construction standards and regulations.</li></ul><p>Work Location: In person</p>

CIVIL ENGINEER (SAUDI NATIONALS ONLY)

KEO International Consultants

<div>Overview:
<div>
KEO is a creative enterprise, where innovation is a way of life. We are uniquely resourced with end-to-end services to take clients from inspiration &ndash; through conceptualization &ndash; to realization of planning, design or project delivery in the built and natural environments. For over 60 years we&rsquo;ve led with vision, contributing to many of the world&rsquo;s most ambitious projects, iconic places, remarkable experiences and prosperous communities.</div><div></div><div><br>
As a highly integrated and agile AEP/PMCM firm, KEO is recognized by ENR as one of the Top 225 International Design Firms and one of the Top 20 International PM/CM Firms. We are also ranked by World Architecture as the 57th largest global architecture firm and the #1 Firm in the Middle East Region in their 2024 WA100 Survey.</div><div></div><div><br>
We invite you to join us. Why?</div><div></div><div><br>
When you join KEO, you&rsquo;ll discover more than just a job &ndash; you&rsquo;ll find a supportive environment that fosters your professional development through internal global mobility and career development and does so within a culture that supports company-wide health and well-being through on-demand counselling services and regular workplace clinics. You will be invited to celebrate community events such as sports days, fun-runs, in-house sports teams and beach clean ups. In addition to your competitive package and benefits you will have access to a suite of policies that include hybrid working arrangements, individual athletic sponsorship, study assistance sponsorship, employee referral rewards, mentoring and coaching programs and extensive in-house on demand learning courses.</div><p></p><div><br>
Our newest opportunity is for a talented Performance Specialist to join our award-winning team based in Alkhobar.
</div><div>This position is responsible for ensuring that the requirements of the contract documents are implemented and maintained throughout the contract period and to assist in the review of contractual notices of claims.</div>
Responsibilities:
<div>
Our newest opportunity is for an experienced Planning Engineer to join the Project Controls team for a high-profile arena construction project in, Riyadh. This is a key role in the supervision/PMC or construction management team supporting the delivery of one of Vision 2030&rsquo;s flagship giga-projects.</div><div>
The Planning Engineer will develop, maintain, and monitor comprehensive project schedules using Primavera P6. You will provide critical planning and controls support to the Project Director, Resident Engineer, and Project Management team, ensuring the arena (including civil, structural, architectural, MEP, and fit-out elements) is delivered on time, within budget, and in coordination with multiple packages and stakeholders.</div><div></div><div><b><br>
1. Schedule Development &amp; Maintenance</b></div><ul><li>
Developing, updating, and maintaining detailed baseline and revised project schedules using Primavera P6 across the full project lifecycle, including design, procurement, construction, testing, commissioning, and handover.</li><li>
Incorporating all work packages, interfaces, milestones, resources, and dependencies specific to arena construction, including structural steel erection, seating bowl, roof systems, concourses, MEP integration, fit-out, and external works.</li><li>
Performing resource loading, leveling, and optimization, while developing recovery and acceleration plans as required.</li><li>
Preparing 3-week and 90-day look-ahead schedules and integrating subcontractor programmes.</li></ul><div><b>
2. Progress Monitoring &amp; Analysis</b></div><ul><li>
Monitoring and tracking actual progress against the baseline on a weekly and monthly basis through site data collection, progress measurement, and schedule updates.</li><li>
Analyzing schedule variances, critical path impacts, and potential delays, while preparing what-if scenarios, mitigation strategies, and Extension of Time (EOT) support documentation.</li><li>
Conducting delay analyses, including time impact and windows analyses, and supporting claims evaluations for the Engineer/PMC.</li><li>
Integrating planning activities with cost control processes, including S-curves, cash flow forecasts, and risk management frameworks.</li></ul><div><b>
3. Reporting &amp; Communication</b></div><ul><li>
Preparing high-quality weekly, monthly, and ad-hoc planning reports, dashboards, and presentations for the Project Director, Engineer, Client (Qiddiya Investment Company), and other key stakeholders.</li><li>
Attending progress meetings, coordination meetings, and workshops, while presenting schedule updates, findings, and recommendations.</li><li>
Maintaining accurate planning records, baseline logs, and audit trails to ensure contractual compliance with FIDIC or similar contract frameworks.</li></ul><div><b>
4. Coordination &amp; Interface Management</b></div><ul><li>
Coordinating with Civil, Structural, MEP, and Architectural disciplines, package contractors, consultants, and authorities to ensure realistic and integrated scheduling.</li><li>
Managing interfaces between multiple contracts and work packages typical of Qiddiya giga-project environments.</li><li>
Supporting the project risk register by identifying, assessing, and tracking schedule-related risks and opportunities.</li></ul><div><b>
5. Project Controls Support</b></div><ul><li>
Assisting in budget phasing, earned value management (EVM), and performance measurement activities.</li><li>
Providing planning input to variation orders, claims, and commercial evaluations.</li><li>
Contributing to handover planning, commissioning schedules, and defects liability period activities to ensure the arena&rsquo;s operational readiness.</li></ul><div><b>
6. Continuous Improvement</b></div><ul><li>
Implementing project planning and controls best practices aligned with international standards and KSA giga-project requirements.</li><li>
Training and mentoring junior planning staff where applicable.</li><li>
Leveraging digital tools such as Primavera Cloud, Power BI, and BIM integration to enhance project visibility, reporting, and operational efficiency.</li></ul>
Qualifications:
<div>
To be successful in this dynamic opportunity, we envision that your career journey to date 8&ndash;12+ years of relevant experience in planning/scheduling for large-scale construction projects, with at least 5 years on mega-projects (stadiums, arenas, sports venues, infrastructure, or giga-projects in KSA/GCC highly preferred).</div><ul><li>
 Bachelor&rsquo;s degree in civil engineering, or a related field</li><li>
 Expert-level proficiency in Oracle Primavera P6 (mandatory; latest versions).</li><li>
 Strong working knowledge of MS Project, Excel (advanced), Power BI, and MS Office.</li><li>
 Familiarity with FIDIC contracts, project controls best practices, and delay analysis methodologies.</li><li>
 Experience with resource/cost-loaded schedules and Earned Value Management.</li></ul><div><b>
Other Requirements</b></div><ul><li>
 Proven track record on complex, fast-track projects with multiple interfaces.</li><li>
 Excellent analytical, problem-solving, and communication skills (English essential; Arabic advantageous).</li><li>
 Ability to work effectively in a multicultural, site-based environment under pressure.</li><li>
 Knowledge of Saudi regulations, Vision 2030 delivery standards, and arena-specific construction sequencing is a strong advantage.</li></ul><div><b>
Desirable Certifications</b></div><ul><li>
PMP (Project Management Professional) or equivalent.</li><li>
Primavera P6 certification or advanced training.</li><li>
Planning/Scheduling certifications (e.g., from AACE, PMI-SP).</li><li>
HSE awareness certification.</li></ul><div></div><div><br>
KEO&rsquo;s performance is founded upon integrity, results, innovation, safety and our people. We embrace diversity and recognise its&rsquo; contribution to client success wherever we work.</div><div>
We are excited to hear how you can partner with our award-winning team and treat all expressions of interest confidentially.</div></div>

Planning 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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