data analyst

senior data analyst

data scientist

analytics engineer / senior data analyst Jobs in Dubai

analytics engineer / senior data analyst

big data consultant

data engineering

The First Group

<div>Overview:
<div>
Headquartered in Dubai, UAE, The First Group is a dynamic, integrated global property developer with a fast-growing portfolio of upscale hotels, residential properties, F&amp;B brands and real estate asset management services. Since our launch in 2005, we have carved a highly successful niche offering unrivalled property investment opportunities in high-growth markets to clients from more than 70 countries worldwide.</div><div></div><div><br>
We were among the first developers to identify the tremendous potential in providing private investors the opportunity to purchase hotel guestrooms, suites and serviced apartments in our collection of upscale properties located in highly popular locations across Dubai. We back up our success with a list of International Property awards along with strategic partnerships with companies such as Wyndham Hotel group, Millennium Hotels, Emirates Airlines and Jumeirah Hotels and Resorts.</div><div></div><div><br>
To successful candidates, we offer a diverse progressive corporate working environment with clear growth potential along with award winning sales &amp; marketing tools, a state of the art showroom featuring Dubai&rsquo;s only virtual helicopter tour and endorsements from a number of international sporting celebrities.</div>
Job Description:
<div>
We are seeking a motivated and curious <b>Power BI &amp; AI Automation Intern</b> to assist in the development, optimization, and automation of data-driven solutions using <b>Power BI</b>, <b>Azure OpenAI (ChatGPT Enterprise)</b>, <b>Python</b>, and <b>SQL</b>.<br>
The intern will work closely with our Data Engineering and Business Intelligence teams to design dashboards, integrate AI-powered analytics, and enhance our data pipeline for actionable insights.</div><div></div><ul><li><div><br>
Design, develop, and maintain <b>Power BI dashboards</b> that visualize business KPIs and performance metrics.</div></li><li><div>
Collaborate on building <b>data models</b> and <b>ETL workflows</b> using SQL and Python.</div></li><li><div>
Leverage <b>Azure OpenAI (Enterprise ChatGPT)</b> to create and deploy intelligent business chat solutions, automate workflows, and support internal decision-making tools.</div></li><li><div>
Assist in integrating <b>AI and NLP features</b> into business intelligence tools and applications.</div></li><li><div>
Support the <b>data governance and quality assurance</b> processes by validating and cleaning datasets.</div></li><li><div>
Document project progress, code, and system configurations clearly and efficiently.</div></li><li><div>
Participate in brainstorming and prototyping sessions for innovative data and AI solutions.</div></li></ul>
Desired Skill &amp; Expertise:
<h3 class="jobSectionHeader"><b>Technical Skills</b></h3><ul><li><div><b>
Power BI:</b> Dashboard development, DAX queries, Power Query, data modeling, and report optimization.</div></li><li><div><b>
SQL:</b> Strong understanding of data extraction, joins, aggregations, stored procedures, and performance tuning.</div></li><li><div><b>
Python:</b> Experience with libraries such as pandas, numpy, and matplotlib for data manipulation and analysis.</div></li><li><div><b>
Azure &amp; OpenAI Services:</b></div><ul><li><div>
Familiarity with <b>Azure OpenAI / ChatGPT Enterprise</b> integrations and API usage.</div></li><li><div>
Understanding of prompt engineering and AI-assisted data analytics.</div></li></ul></li><li><div><b>
Data Integration:</b> Experience connecting Power BI to SQL databases, Excel, or APIs.</div></li><li><div><b>
Version Control:</b> Basic knowledge of Git or GitHub for collaboration.</div></li></ul><h3 class="jobSectionHeader"><b>
Soft Skills</b></h3><ul><li><div>
Analytical mindset with strong problem-solving and data interpretation abilities.</div></li><li><div>
Eagerness to learn new tools and technologies in the AI and data analytics domain.</div></li><li><div>
Excellent communication skills for presenting data insights to non-technical stakeholders.</div></li><li><div>
Ability to work independently and collaboratively within a cross-functional team.</div></li></ul></div>

Power BI and AI Automation - Intern

Invest Group Overseas L.L.C

<p><b>About the Group:</b></p><p>Invest Group Overseas (IGO) is an investment and property development company based in Dubai. Established by a group of elite business leaders, IGO focuses on capitalizing on business opportunities in the developed and emerging markets. The company has a well-deserved reputation as one of the top regional investment companies, delivering premium properties that contribute to the growth of cities and localities.</p><p><b>Job Overview:</b></p><p>A role combining both a Contract and Procurement Coordinator and an <b>Engineering Executive Secretary</b> would encompass a diverse set of responsibilities that bridge administrative support with procurement and engineering functions within an organization. This combination could be particularly relevant in industries where technical projects and procurement activities are closely intertwined.</p><p><b>Key Responsibilities:</b></p><ul><li><b>Supplier Sourcing</b>: Identifying potential suppliers, vendors, or contractors to fulfill procurement needs related to engineering projects.</li><li><b>Bid Evaluation</b>: Reviewing bids and proposals from suppliers, analyzing cost-effectiveness and alignment with project requirements.</li><li><b>Contract Negotiation</b>: Negotiating favorable terms and conditions with suppliers or vendors, ensuring compliance with procurement policies.</li><li><b>Contract Management</b>: Overseeing the lifecycle of contracts, from drafting and execution to amendments and renewals.</li><li><b>Procurement Processes</b>: Coordinating procurement processes, including purchase requisitions, purchase orders, and invoice processing.</li><li><b>Compliance:</b> Ensuring all procurement activities adhere to organizational policies, legal regulations, and industry standards.</li><li><b>Relationship Management</b>: Establishing and maintaining positive relationships with suppliers, fostering partnerships for successful project delivery.</li><li><b>Data Analysis:</b> Analyzing procurement data to identify cost-saving opportunities, monitor supplier performance, and track procurement metrics.</li><li><b>Calendar Management</b>: Scheduling and coordinating appointments, meetings, and events for engineering executives or teams.</li><li><b>Communication Handling</b>: Managing incoming and outgoing communications on behalf of engineering executives, including emails, calls, and correspondence.</li><li><b>Document Management</b>: Assisting with drafting, editing, and formatting engineering-related documents, reports, and presentations.</li><li><b>Meeting Coordination</b>: Organizing meetings, preparing agendas, taking minutes, and distributing follow-up actions for engineering-related discussions.</li><li><b>Technical Support</b>: Assisting with technical documentation, data collection, and research for engineering projects.</li><li><b>Project Support</b>: Providing administrative support for engineering projects, tracking project timelines, and assisting with project-related tasks.</li><li><b>Coordination</b>: Collaborating with engineering teams and other departments to ensure efficient communication and project coordination.</li><li><b>Event Support</b>: Assisting in organizing engineering-related events, workshops, or training sessions.</li><li>Visit project sites and other offices as required to oversee the operations and provide support.</li><li>Perform other duties assigned.</li></ul><p><b>Experience &amp; Educational Requirements:</b></p><ul><li>A bachelor's degree in <b>business administration, engineering,</b> or a related field. Relevant work experience in procurement, contract management, or engineering administration may also be considered.</li><li>Strong organizational and multitasking skills to manage diverse tasks and responsibilities.</li><li>Excellent communication and interpersonal skills to interact with suppliers, vendors, engineering teams, and stakeholders.</li><li>Analytical mindset to <b>interpret procurement and engineering data and metrics for decision-making</b>.</li><li>Proficiency in office software such as Microsoft Office (Word, Excel, PowerPoint, Outlook) and relevant engineering software.</li><li>Attention to detail and accuracy in administrative tasks, contract management, and technical documentation.</li><li>Adaptability and flexibility to work in a dynamic and fast-paced environment.</li><li>Problem-solving abilities to address procurement and engineering-related challenges proactively.</li><li>Discretion and professionalism in handling sensitive information.</li></ul><p>Job Type: Full-time</p>

ENGINEERING EXECUTIVE SECRETARY

ALL METALS INDUSTRIES

<ul><li>mpletes construction projects by preparing engineering design and documents and confirming specifications.</li><li>Designs construction projects by studying project concept, architectural drawings, and models.</li><li>Prepares engineering design by collecting and studying reports, maps, drawings, blueprints, aerial photographs, and tests on soil composition, terrain, hydrological characteristics, and related topographical and geologic data.</li><li>Determines project costs by calculating labor, material, and related costs.</li><li>Creates feasibility study by analyzing engineering design, conducting environmental impact studies, and assembling data.</li><li>Produces engineering documents by developing construction specifications, plans, and schedules.</li><li>Confirms adherence to construction specifications and safety standards by monitoring project progress, inspecting construction site, and verifying calculations and placements.</li><li>Fulfills project requirements by training and guiding operators.</li><li>Maintains operations by enforcing project and operational policies and procedures.</li><li>Provides engineering information by answering questions and requests.</li><li>Complies with federal, state, and local legal requirements by studying existing and new legislation; anticipating future legislation; enforcing adherence to requirements; and advising management on needed actions.</li><li>Maintains project database by writing computer programs, entering data, and completing backups.</li><li>Contributes to team effort by accomplishing related results as needed.</li></ul><p>Job Type: Full-time</p><p>Pay: From AED7,000.00 per month</p><p>Ability to commute/relocate:</p><ul><li>Dubai: Reliably commute or planning to relocate before starting work (Required)</li></ul><p>Education:</p><ul><li>Bachelor's (Preferred)</li></ul><p>Experience:</p><ul><li>civil engineer: 3 years (Preferred)</li></ul>

Civil Engineer

Al Omran for Teaining and Developing

<p><b>AI Trainer &ndash; Engineering Focus</b></p><p><b>Location:</b> Dubai Al Barsha<br/><b>Employment Type:</b> Contract</p><p><b>About the Role</b></p><p>We&rsquo;re seeking an <b>AI Trainer with a strong engineering background</b> to help shape the next generation of artificial intelligence systems. You&rsquo;ll use your technical expertise to review, refine, and create high-quality engineering content that teaches AI models to think and respond like human experts.</p><p><b>Responsibilities</b></p><ul><li>Develop and evaluate technical content related to mechanical, electrical, civil, or software engineering.</li><li>Review AI-generated answers for accuracy, clarity, and technical soundness.</li><li>Create datasets and problem sets that reflect real-world engineering practices.</li><li>Collaborate with machine learning engineers, data scientists, and content specialists to improve AI model performance.</li><li>Provide expert feedback to guide model reasoning, design decisions, and communication style.</li></ul><p><b>Qualifications</b></p><ul><li>Bachelor&rsquo;s degree (or higher) in <b>Engineering</b> .</li><li>Strong written communication skills and the ability to explain complex concepts clearly.</li><li>Familiarity with AI tools, data annotation, or model training (preferred but not required).</li><li>Detail-oriented and passionate about advancing AI in technical fields.</li></ul><p>Job Type: Contract<br/>Contract length: 2 months</p><p>Pay: AED2,500.00 - AED3,000.00 per month</p>

AI Trainer for Engineering

Etihad Credit Bureau

<div>
 <p>
  <strong>
   JOB DESCRIPTION SUMMARY
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  The Machine Learning Engineer role will specialise in maintaining scoring models, production system maintenance and high-availability operations. You'll orchestrate and maintain our AzureML/Databricks-based scoring engine, ensure 99.99% uptime for production models, perform emergency fixes, and manage QA/UAT processes. This role partners with data scientists to operationalize models and data engineers to ensure efficient data flows.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   KEY DUTIES &amp; RESPONSIBILITIES
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Production Model Maintenance:
   </strong>
   Monitor, troubleshoot, and rectify issues in deployed credit scoring models (e.g., score drift, feature misalignment, output anomalies).
  </li>
  <li>
   <strong>
    Platform Orchestration:
   </strong>
   Manage AzureML pipelines &amp; Databricks workflows for model retraining, batch scoring, and real-time inference.
  </li>
  <li>
   <strong>
    High-Availability Engineering:
   </strong>
   Ensure 24/7 uptime of scoring APIs serving banking clients; implement failover systems and load balancing.
  </li>
  <li>
   <strong>
    Release Management:
   </strong>
   Oversee QA/UAT processes for model updates including back-testing, shadow deployments, and canary releases.
  </li>
  <li>
   <strong>
    Model Governance:
   </strong>
   Maintain audit trails for model versions, inputs/outputs, and performance metrics. Support Compliance and Audit with creation of logs when requested.
  </li>
  <li>
   <strong>
    Incident Response:
   </strong>
   Lead troubleshooting of scoring engine failures with SLAs for financial institution clients.
  </li>
  <li>
   <strong>
    Infrastructure Optimization:
   </strong>
   Tune AzureML/Databricks clusters for cost-performance efficiency at scale.
  </li>
  <li>
   <strong>
    Vendor Management:
   </strong>
   Ensure vendor support is completing work as per scope and SLAs. Rectifying any vendor delivery issues.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   EDUCATION &amp; SKILLS
  </strong>
 </p>
 <ol>
  <li>
   Educated with at least bachelor&rsquo;s degree or equivalent in related field
  </li>
  <li>
   Education specialization or master&rsquo;s degree in computer science, Software Engineering
  </li>
  <li>
   Proficient in English
  </li>
  <li>
   Preferred proficiency in Arabic
  </li>
  <li>
   In-depth knowledge of React Native and Next JS and related modules, components and libraries
  </li>
  <li>
   Preferred In-depth knowledge of SiteCore or experience integrating with SiteCore
  </li>
 </ol>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   EXPERIENCE &amp; KNOWLEDGE
  </strong>
 </p>
 <ol>
  <li>
   Bachelor's/Master's in Computer Science, Engineering, Data Science, or related field
  </li>
  <li>
   2+ years in Data Science or Software Engineering experience
  </li>
  <li>
   2+ years production ML operations experience, MLOps lifecycle management, including monitoring, retraining, and model versioning.
  </li>
  <li>
   Strong problem-solving skills and the ability to resolve issues efficiently.
  </li>
  <li>
   CI/CD for ML systems using tools such as Azure DevOps, GitHub Actions, MLflow, and other similar tools
  </li>
  <li>
   Ability to adapt ML workflows across different cloud environments (Azure, AWS, GCP) as needed.
  </li>
 </ol>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ABILITIES &amp; SPECIFIC REQUIREMENTS
  </strong>
 </p>
 <ol>
  <li>
   Practical experience in cloud-based ML platforms such as AzureML, Databricks, or equivalent (e.g., SageMaker, Vertex AI), with a preference for Azure.
  </li>
  <li>
   Python/PySpark for model debugging and patching. Working knowledge of Scikit-Learn and NumPy
  </li>
  <li>
   Deep understanding of credit scoring systems: feature engineering, scorecard interpretation, and output validation
  </li>
  <li>
   Credit bureau data structures (tradelines, inquiries, public records)
  </li>
  <li>
   Model risk management (MRM) standards
  </li>
  <li>
   Azure Solutions Architect or MLOps certifications
  </li>
  <li>
   Experience with financial services-grade SLAs (99.9% uptime) and outage management
  </li>
  <li>
   Knowledge of containerization (Docker, Kubernetes, AKS, or similar orchestration tools)
  </li>
  <li>
   Practical experience with Azure Data Factory (ADF) and Azure Data Lake Storage (ADLS) / Azure Blob Storage
  </li>
  <li>
   Knowledge of new and upcoming AI tools
  </li>
  <li>
   This is contained within the earlier requirement of python. If the plan is for this resource
  </li>
  <li>
   Excellent written and verbal communication skills English
  </li>
  <li>
   Strong interpersonal skills with the ability to engage and build relationships
  </li>
  <li>
   Crisis management under pressure
  </li>
  <li>
   Cross-functional collaboration with data science/risk teams
  </li>
  <li>
   Strong organizational skills with the ability to manage multiple tasks and projects simultaneously.
  </li>
  <li>
   Ability to develop and document procedures, roles, and guidelines.
  </li>
  <li>
   <strong>
    Security and Compliance
   </strong>
   Especially in financial services, mention data security, PII handling, and compliance with regulations
  </li>
 </ol>
</div>


Machine Learning Engineer (Contract - For Immediate Hire)

EIWAA Oil and Gas Services LLC

<p><b>Job Summary</b></p><p>We are seeking a technically skilled and detail-driven <b>3D Laser Scanning &amp; Modeling Engineer</b> to lead scanning, modeling, and data acquisition projects across <b>industrial, marine, and construction environments</b>. The ideal candidate will have hands-on experience with point cloud processing, clash detection, and digital twin generation, ensuring precision and compliance with international standards.</p><p><b>Key Responsibilities</b></p><p><b>Project Engineering &amp; Execution</b></p><ul><li>Lead planning and execution of scanning and modeling projects across <b>onshore and offshore marine assets</b>, industrial plants, and construction sites.</li><li>Define project scopes, schedules, and resource plans in coordination with engineering and operations teams.</li><li>Troubleshoot field challenges and implement corrective actions to ensure timely and accurate deliverables.</li><li>Liaise with clients, shipyard teams, and project managers to assess requirements and propose scanning strategies.</li><li>Conduct site visits&mdash;including <b>vessels, shipyards, and marine terminals</b>&mdash;to evaluate conditions and tailor scanning approaches.</li><li>Manage vendor coordination, equipment procurement, and logistics for field operations.</li><li>Ensure compliance with ISO, ASTM, ASME, and marine classification standards.</li></ul><p><b>Point Cloud Processing &amp; Modeling</b></p><ul><li>Process point cloud data using FARO Scene, Autodesk ReCap, Trimble Real Works, and Cloud Compare.</li><li>Generate 3D models, as-built documentation, and digital twins for <b>marine structures, hulls, piping systems, and retrofit projects</b>.</li><li>Facilitate clash detection and interference analysis to ensure design compatibility.</li><li>Maintain clear communication with internal teams and marine clients throughout modeling and review phases.</li></ul><p><b>3D Scanning &amp; Data Acquisition</b></p><ul><li>Conduct terrestrial and <b>marine-based 3D scanning</b> using FARO, BLK 360, TRIMBLE TX8, and WINGTRA 1776.</li><li>Align scanning outputs with GA, P&amp;ID, and structural drawings for accuracy.</li><li>Implement efficient scanning techniques for <b>retrofit, revamp, and marine engineering applications</b>.</li><li>Capture complex geometries including <b>ship hulls, engine rooms, pipe racks, and offshore platforms</b>.</li><li>Collaborate with engineering teams to ensure data integrity and modeling accuracy in <b>marine and coastal environments</b>.</li></ul><p><b>Qualifications</b></p><ul><li>Bachelor&rsquo;s Degree in Mechanical Engineering</li><li>3&ndash;5 years of experience in survey, inspection, and 3D scanning</li><li>Proficiency in FARO Scene, Autodesk ReCap, Trimble Real Works, Cloud Compare</li><li>Skilled in MS Office, AutoCAD, and basic Linux/Mac environments</li><li>Certification in GPR and 3D Laser Scanning (preferred)</li><li>Experience in <b>marine scanning projects or shipyard environments</b> is a strong advantage</li></ul><p>Job Type: Full-time</p>

3D Laser Scanning & Modeling Engineer

Fuse Energy

<div>
 At Fuse, we're building a fully integrated energy company, from developing solar, wind, and hydrogen to power trading &amp; distributed energy installations. We sell directly to energy consumers, cutting out the middleman to reduce costs and pass on savings to customers.
 <br/>
 <br/>
 But we're not stopping there.
 <br/>
 <br/>
 We're also building the Energy Network: a decentralized network of smart devices where users get rewarded in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. The energy network helps the grid achieve energy stability, a crucial requirement for growth of AI data centers and energy intensive industries.
 <br/>
 <br/>
 We've raised $90M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group, and strategic angels like Nico Rosberg, co-founder of Solana, and GPs behind Meta, Revolut, Spotify, Uber, and more.
 <br/>
 <br/>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 As the Head of Engineering (AI) at Fuse Energy, you will lead the development and integration of AI across our platform&mdash;from intelligent forecasting models and optimization algorithms to personalized customer experiences and internal automation.
 <br/>
 <br/>
 This role is both strategic and hands-on. You'll own the engineering strategy for how AI is built, deployed, and scaled across our stack, partnering closely with data science, product, and platform teams.
 <br/>
 <br/>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Own the AI engineering roadmap and lead the development of AI-first features
  </li>
  <li>
   Productionize ML models, ensuring scalability, performance, and observability
  </li>
  <li>
   Design the infrastructure for deploying and maintaining ML systems in production (e.g., MLOps, CI/CD for ML, model versioning)
  </li>
  <li>
   Build systems that integrate AI into key parts of our stack, such as:
  </li>
  <ul>
   <li>
    Forecasting customer demand and renewable generation
   </li>
   <li>
    Dynamic pricing and energy trading algorithms
   </li>
   <li>
    Intelligent alerts and personalized customer features
   </li>
  </ul>
  <li>
   Work closely with product and engineering leadership to identify high-impact AI opportunities
  </li>
  <li>
   Build and lead a high-performing team of AI engineers
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong software engineering background with 5+ years of experience, including at least 2 years leading AI/ML engineering teams
  </li>
  <li>
   Deep experience deploying ML models into production environments
  </li>
  <li>
   Proficiency in designing scalable data pipelines and real-time inference systems
  </li>
  <li>
   Understanding of modern ML tooling and frameworks (e.g., PyTorch, TensorFlow, MLflow, AWS SageMaker)
  </li>
  <li>
   Strong cross-functional collaboration skills, particularly with data science and product teams
  </li>
  <li>
   Clear communication and an ability to prioritize for both experimentation and reliability
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bonus
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Familiarity with optimization, time series modeling, or forecasting
  </li>
  <li>
   Experience with large language models (LLMs), RAG, or generative AI in production
  </li>
  <li>
   Background in MLOps or AI infrastructure at scale
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive salary and a stock options sign-on bonus
  </li>
  <li>
   Biannual bonus scheme
  </li>
  <li>
   Fully expensed tech to match your needs!
  </li>
  <li>
   Paid annual leave
  </li>
  <li>
   Breakfast and dinner for office based employees
  </li>
 </ul>
</div>


Head of Engineering (AI)

Explore 3141+ Data engineering in Dubai this November. Find roles across top companies and apply now to boost your career.