data scientist

ai data scientists (cctv analytics) Jobs in Abu Dhabi

ai data scientists (cctv analytics)

business analyst – data & analytics Jobs in Abu Dhabi

business analyst – data & analytics

data architect

data science expert

data analytics specialist

Emirates Nuclear Energy

<div></div><div><div><div><div><div>Posting Date: 7 Jul 2026
</div></div></div></div><div><div><div><div>Requisition ID: 3584
</div></div></div></div><div><div><div><div>Location: HQ - Abu Dhabi
</div></div></div></div><div><div><div><div>Posting Status: Active Recruitment
</div></div></div></div><div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Job Purpose</b></h2>
</div><div><p>The Data Science Expert leads and develops high-performing teams of data scientists and data engineers to deliver advanced analytics, AI, and predictive modeling solutions for ENEC&rsquo;s nuclear operations. This role ensures technical excellence, compliance with nuclear safety standards, and the delivery of actionable insights that optimize plant performance, fuel cycle management, and operational reliability. The Expert acts as a strategic advisor, technical authority, and mentor, driving innovation and embedding analytics into the core of ENEC&rsquo;s mission.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Key Activities, Responsibility &amp; Accountability</b></h2>
</div><div><div>Responsibilities
<br>
<ul><li>Strategic Leadership:
</li></ul>Drive the data science and analytics strategy for nuclear operations, ensuring alignment with ENEC&rsquo;s safety, reliability, and business objectives.
<br>
<ul><li>Technical Excellence:
</li></ul>Oversee the design, development, and deployment of advanced models for reactor performance, fuel cycle optimization, outage prediction, and anomaly detection.
<br>
<ul><li>Team Leadership:
</li></ul>Lead, mentor, and develop multidisciplinary teams of data scientists and engineers, fostering a culture of innovation, collaboration, and continuous improvement.
<br>
<ul><li>Stakeholder Engagement:
</li></ul>Collaborate with plant, fuel, engineering, and regulatory teams to embed analytics into operational workflows and decision-making.
<br>
<ul><li>Governance &amp; Compliance:
</li></ul>Ensure all analytics activities adhere to nuclear safety culture, regulatory requirements, and robust data governance.
<br>
<ul><li>Operational Excellence:
</li></ul>Monitor and improve the impact of analytics on plant reliability, fuel efficiency, and business outcomes.
<br>
<ul><li>Expert Knowledge Application:
</li></ul>Apply advanced expertise in statistical modeling, machine learning, and AI to develop solutions for complex nuclear analytics challenges, ensuring technical rigor and industry compliance.
<br>
<ul><li>Complex Problem Solving:
</li></ul>Lead the resolution of ambiguous and high-impact analytics issues by designing innovative approaches, conducting root cause analysis, and implementing corrective/preventive actions to enhance operational reliability.
<br>
<ul><li>Professional Know-How:
</li></ul>Utilize deep technical know-how to architect, validate, and deploy digital twins, predictive maintenance models, and fuel cycle optimization tools, ensuring best practices in MLOps and automation.</div>
</div></div><div><div><h2 class="jobSectionHeader"><b>Responsibilities &amp; Accountabilities (contd.)</b></h2>
</div><div><p>Responsibilities and Accountabilities:</p>
<ul><li>Define, communicate, and continuously refine the analytics vision and multi-year roadmap for nuclear operations.
</li><li>Advise executive leadership on leveraging AI and advanced analytics for plant optimization, fuel cycle management, and operational excellence.
</li><li>Lead the development of business cases for analytics investments focused on nuclear plant performance, predictive maintenance, and fuel efficiency.
</li><li>Align analytics initiatives with ENEC&rsquo;s digital transformation, safety culture, and national mission.
</li><li>Monitor industry trends and emerging technologies to ensure ENEC remains at the forefront of nuclear analytics.
</li></ul>Responsibilities and Accountabilities:
<ul><li>Direct the design, development, and deployment of advanced statistical, machine learning, and AI models for nuclear plant operations, fuel cycle analysis, and safety-critical predictions.
</li><li>Oversee the development and validation of digital twins, predictive maintenance models, and fuel consumption forecasting tools.
</li><li>Ensure all models are validated against nuclear industry standards, regulatory requirements, and plant-specific constraints.
</li><li>Lead the adoption of MLOps best practices for continuous monitoring, retraining, and governance of models deployed in nuclear environments.
</li><li>Drive the adoption of automation, CI/CD pipelines, and advanced monitoring for analytics operations.
</li><li>Lead technical reviews, audits, and assurance activities to maintain high standards of quality, reliability, and compliance.
</li><li>Ensure robust documentation, explainability, and auditability of all models and analytics solutions</li></ul>
</div></div><div><div><h2 class="jobSectionHeader"><b>Professional Certifications</b></h2>
</div><div><p>Relevant certifications in AI/ML, MLOps, and Data Governance.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Qualifications</b></h2>
</div><div><p>Min - Master&rsquo;s degree in data science, computer science, engineering, or related discipline. Proven experience leading data science teams in regulated environments</p>
<p>Pref - PhD or equivalent. Experience in nuclear, energy, or highly regulated sectors.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Experience</b></h2>
</div><div><p>8 years of relevent experience</p></div></div></div></div></div></div></div></div><p></p>

Data Science Expert

ENEC Operations

<div>
 Job Title: Data Science Expert
 <br/>
 <br/>
 Posting Date: 7 Jul 2026
 <br/>
 <br/>
 Requisition ID: 3584
 <br/>
 <br/>
 Location: HQ - Abu Dhabi
 <br/>
 <br/>
 Posting Status: Active Recruitment
 <br/>
 <br/>
 <strong>
  Job Purpose
  <br/>
  <br/>
 </strong>
 The Data Science Expert leads and develops high-performing teams of data scientists and data engineers to deliver advanced analytics, AI, and predictive modeling solutions for ENEC&rsquo;s nuclear operations. This role ensures technical excellence, compliance with nuclear safety standards, and the delivery of actionable insights that optimize plant performance, fuel cycle management, and operational reliability. The Expert acts as a strategic advisor, technical authority, and mentor, driving innovation and embedding analytics into the core of ENEC&rsquo;s mission.
 <br/>
 <br/>
 Key Activities, Responsibility &amp; Accountability
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strategic Leadership:
   <br/>
   <br/>
  </li>
 </ul>
 Drive the data science and analytics strategy for nuclear operations, ensuring alignment with ENEC&rsquo;s safety, reliability, and business objectives.
 <br/>
 <br/>
 <ul>
  <li>
   Technical Excellence:
   <br/>
   <br/>
  </li>
 </ul>
 Oversee the design, development, and deployment of advanced models for reactor performance, fuel cycle optimization, outage prediction, and anomaly detection.
 <br/>
 <br/>
 <ul>
  <li>
   Team Leadership:
   <br/>
   <br/>
  </li>
 </ul>
 Lead, mentor, and develop multidisciplinary teams of data scientists and engineers, fostering a culture of innovation, collaboration, and continuous improvement.
 <br/>
 <br/>
 <ul>
  <li>
   Stakeholder Engagement:
   <br/>
   <br/>
  </li>
 </ul>
 Collaborate with plant, fuel, engineering, and regulatory teams to embed analytics into operational workflows and decision-making.
 <br/>
 <br/>
 <ul>
  <li>
   Governance &amp; Compliance:
   <br/>
   <br/>
  </li>
 </ul>
 Ensure all analytics activities adhere to nuclear safety culture, regulatory requirements, and robust data governance.
 <br/>
 <br/>
 <ul>
  <li>
   Operational Excellence:
   <br/>
   <br/>
  </li>
 </ul>
 Monitor and improve the impact of analytics on plant reliability, fuel efficiency, and business outcomes.
 <br/>
 <br/>
 <ul>
  <li>
   Expert Knowledge Application:
   <br/>
   <br/>
  </li>
 </ul>
 Apply advanced expertise in statistical modeling, machine learning, and AI to develop solutions for complex nuclear analytics challenges, ensuring technical rigor and industry compliance.
 <br/>
 <br/>
 <ul>
  <li>
   Complex Problem Solving:
   <br/>
   <br/>
  </li>
 </ul>
 Lead the resolution of ambiguous and high-impact analytics issues by designing innovative approaches, conducting root cause analysis, and implementing corrective/preventive actions to enhance operational reliability.
 <br/>
 <br/>
 <ul>
  <li>
   Professional Know-How:
   <br/>
   <br/>
  </li>
 </ul>
 Utilize deep technical know-how to architect, validate, and deploy digital twins, predictive maintenance models, and fuel cycle optimization tools, ensuring best practices in MLOps and automation.
 <br/>
 <br/>
 <strong>
  Responsibilities &amp; Accountabilities (contd.)
  <br/>
  <br/>
 </strong>
 Responsibilities and Accountabilities:
 <br/>
 <br/>
 <ul>
  <li>
   Define, communicate, and continuously refine the analytics vision and multi-year roadmap for nuclear operations.
  </li>
  <li>
   Advise executive leadership on leveraging AI and advanced analytics for plant optimization, fuel cycle management, and operational excellence.
  </li>
  <li>
   Lead the development of business cases for analytics investments focused on nuclear plant performance, predictive maintenance, and fuel efficiency.
  </li>
  <li>
   Align analytics initiatives with ENEC&rsquo;s digital transformation, safety culture, and national mission.
  </li>
  <li>
   Monitor industry trends and emerging technologies to ensure ENEC remains at the forefront of nuclear analytics.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Responsibilities And Accountabilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Direct the design, development, and deployment of advanced statistical, machine learning, and AI models for nuclear plant operations, fuel cycle analysis, and safety-critical predictions.
  </li>
  <li>
   Oversee the development and validation of digital twins, predictive maintenance models, and fuel consumption forecasting tools.
  </li>
  <li>
   Ensure all models are validated against nuclear industry standards, regulatory requirements, and plant-specific constraints.
  </li>
  <li>
   Lead the adoption of MLOps best practices for continuous monitoring, retraining, and governance of models deployed in nuclear environments.
  </li>
  <li>
   Drive the adoption of automation, CI/CD pipelines, and advanced monitoring for analytics operations.
  </li>
  <li>
   Lead technical reviews, audits, and assurance activities to maintain high standards of quality, reliability, and compliance.
  </li>
  <li>
   Ensure robust documentation, explainability, and auditability of all models and analytics solutions
   <br/>
   <br/>
  </li>
 </ul>
 Professional Certifications
 <br/>
 <br/>
 Relevant certifications in AI/ML, MLOps, and Data Governance.
 <br/>
 <br/>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Min - Master&rsquo;s degree in data science, computer science, engineering, or related discipline. Proven experience leading data science teams in regulated environments
 <br/>
 <br/>
 Pref - PhD or equivalent. Experience in nuclear, energy, or highly regulated sectors.
 <br/>
 <br/>
 <strong>
  Experience
  <br/>
  <br/>
 </strong>
 8 years of relevent experience
</div>


Damen

<div>
 We offer you an Ocean of Possibilities. Join our family.
 <br/>
 <br/>
 Position Title: Business Analyst
 <br/>
 <br/>
 Department: Data &amp; Analytics/ Shared Services/ Financial Group Control
 <br/>
 <br/>
 Location: Damen Shared Services, Abu Dhabi
 <br/>
 <br/>
 Reports To: Manager Data Analytics
 <br/>
 <br/>
 Employment Type: Full-Time
 <br/>
 <br/>
 <strong>
  Job Purpose
  <br/>
  <br/>
 </strong>
 As a
 <strong>
  Business Analyst
 </strong>
 at Damen, you play a key role in understanding business needs and translating them into actionable data and reporting solutions. You act as a bridge between business stakeholders and data/IT teams, ensuring that requirements are clearly defined, challenged where needed, and converted into meaningful dashboards, KPIs, and insights that support decision-making.
 <br/>
 <br/>
 This role requires strong business understanding, stakeholder engagement, excellent communication skills and the ability to translate operational needs into structured BI solutions, with a focus on driving data-driven decision-making across the organization.
 <br/>
 <br/>
 <strong>
  About The Organization
  <br/>
  <br/>
 </strong>
 You will join an international organization where data and analytics are increasingly central to decision-making. The organization is actively professionalizing its data and BI landscape, with teams operating across multiple international locations.
 <br/>
 <br/>
 A central data and analytics team collaborates with specialized teams for data engineering, data platform management, and dashboard development. Key focus areas include strengthening data governance, standardizing reports, and KPI definitions, and developing organization-wide dashboards.
 <br/>
 <br/>
 Over the coming years, the data and BI domain will continue to expand, with the objective of embedding data-driven working practices across the organization.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 Business Understanding &amp; Stakeholder Engagement:
 <br/>
 <br/>
 <ul>
  <li>
   Develop strong understanding of business operations and processes
  </li>
  <li>
   Act as trusted advisor to stakeholders (Finance, Operations, Projects)
  </li>
  <li>
   Proactively challenge business requirements and assumptions to ensure clarity and feasibility
  </li>
  <li>
   Familiar with the agile way of working
  </li>
  <li>
   Facilitate workshops to define KPIs and reporting needs
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements Translation &amp; Solution Design
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Translate business needs into functional requirements and user stories
  </li>
  <li>
   Align business expectations with data models, dashboards, and reporting solutions
  </li>
  <li>
   Act as the bridge between business and technical/data teams
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  BI &amp; Reporting
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Support development of Power BI dashboards and reporting solutions
  </li>
  <li>
   Define and standardize KPIs and reporting frameworks
  </li>
  <li>
   Ensure outputs are business-relevant, actionable, and aligned with decision-making needs
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Data Governance &amp; KPI Standardization
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Drive consistency in KPI definitions and reporting structures
  </li>
  <li>
   Support data governance initiatives and best practices
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Stakeholder Enablement
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Support stakeholders in interpreting dashboards and insights
  </li>
  <li>
   Provide guidance and training on data-driven decision-making
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Key Accountabilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Clear translation of business needs into (BI) solutions
  </li>
  <li>
   Adoption of standardized KPI frameworks
  </li>
  <li>
   Delivery of business-relevant dashboards and insights
  </li>
  <li>
   Strong alignment between business stakeholders and data/IT teams
  </li>
  <li>
   Improved data-driven decision-making across the organization
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Education:
 <br/>
 <br/>
 <ul>
  <li>
   Bachelor&rsquo;s Degree in Business Administration, Data Analytics, Information Systems, Finance, Engineering, Statistics, Computer Science, or related field
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5&ndash;8 years in Business Analysis or BI/reporting roles
  </li>
  <li>
   Strong stakeholder management and requirement gathering experience
  </li>
  <li>
   Proven experience translating business needs into data and BI solutions
  </li>
  <li>
   Mandatory experience in a project-based, engineering, manufacturing, or industrial environment
  </li>
  <li>
   Exposure to finance, business control, or operations domains is required
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Business Knowledge
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong understanding of project-based environments and operations
  </li>
  <li>
   Experience working with finance, business control, or operational teams
  </li>
  <li>
   Ability to connect business processes with data and reporting solutions
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technical Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Power BI (incl. Star Schema or similar relations)
  </li>
  <li>
   ERP systems (SAP, IFS, Dynamics)
  </li>
  <li>
   Understanding of data modelling concepts
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Soft Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong communication and stakeholder engagement
  </li>
  <li>
   Ability to challenge requirements constructively
  </li>
  <li>
   Ability to translate between business and technical teams
  </li>
  <li>
   Proactive, structured, and solution-oriented mindset
  </li>
  <li>
   Professional proficiency in English, both written and spoken.
  </li>
 </ul>
</div>


Business Analyst – Data & Analytics

TALENTMATE

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 Presight AI is seeking an innovative, creative and experienced Backend Engineer to build the structure of advanced software applications by writing flawless business logic, server scripts, and APIs.
 <br/>
 <br/>
 <strong>
  The opportunity
  <br/>
  <br/>
 </strong>
 You get to play a key technical role in sustaining and optimizing the infrastructure that develops and delivers cutting edge, next-gen analytics solutions at Presight.
 <br/>
 <br/>
 Presight is UAE's leading Analytics-driven, Cloud first, AI-enabled company with a deep focus on driving digital transformation in the MENACA region to power the next generation of cities, businesses, and industries. When it comes to challenges faced by organizations in the MENACA regions, Presight has in-depth knowledge and expertise. Presight enables public and private sector stakeholders to make analytics-driven, intelligent decisions. Its solutions help steer digital transformation and simplify its customers' challenges across various industries, including digital governments, national security, national cloud, healthcare, financial sectors, and infrastructure.
 <br/>
 <br/>
 Founded in 2020, the company is headquartered in Abu Dhabi, UAE. Presight has developed transformative products/solutions which enable its customers to gain a stark competitive advantage by integrating AI, deep Analytics and ML in their digital transformation. The team of over +190 staff includes domain specialists, operations experts, data scientists, solution architects, software developers, engineers and data analysts from different countries &ndash; all committed to delivering impact.
 <br/>
 <br/>
 Presight is an operating company of G42, UAE's leading AI and Cloud Computing company that champions AI as drivers that power progress, propelled by the combination of exceptional people and technology.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 Reporting to the Lead Backend Engineer, Analytics, you will design business specific software components and modules using appropriate modelling techniques in line with agreed software design standards, patterns and methodology.
 <br/>
 <br/>
 <em>
  Functional
  <br/>
  <br/>
 </em>
 <ul>
  <li>
   Create and communicate multiple design views to identify and balance the concerns of all stakeholders of software design and allow for both functional &amp; non-functional requirements.
  </li>
  <li>
   Model or simulate the behavior of proposed software to enable approval by stakeholders and facilitate effective construction of the software.
  </li>
  <li>
   Design, code, verify, test, document, amend and re-factor complex programs/scripts and integration software services.
  </li>
  <li>
   Define and manage scoping, requirement definition and prioritization activities for small-scale changes and assist with more complex change initiatives.
  </li>
  <li>
   Follow agreed standards and apply appropriate techniques to elicit and document detailed requirements.
  </li>
  <li>
   Contribute to the appropriate selection of a software development approach&mdash;predictive (plan-driven) or adaptive (iterative/agile).
  </li>
  <li>
   Design test cases and test scripts mapping back to pre-determined criteria, clearly recording and reporting outcomes.
  </li>
  <li>
   Develop and maintain specialist knowledge of database and data warehouse concepts, design principles, architecture, software and facilities.
  </li>
  <li>
   Develop optimal solutions to enhance user experience, optimizing for maximum speed, scalability and technical feasibility.
  </li>
  <li>
   Participate in overall architecture discussion meetings to gain a detailed understanding of the complete architecture of a product and its functionalities.
  </li>
  <li>
   Build reusable code and libraries for future use.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills And Attributes For Success
  <br/>
  <br/>
 </strong>
 The yardsticks of your performance would include cost savings achieved, reduction in productivity loss, number of processes optimized, number of defect free tasks, adherence to policies, procedures &amp; quality standards, and customer NPS.
 <br/>
 <br/>
 <strong>
  To qualify, you must have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's Degree in Information Technology, Computer Science, Engineering or related field
  </li>
  <li>
   Minimum 5 years of experience in software engineering with strong computer science fundamentals
  </li>
  <li>
   At least 3 years of experience in Java Spring Boot and microservices development
  </li>
  <li>
   Familiar with Maven
  </li>
  <li>
   Extensive UNIX/LINUX experience and Shell scripting experience
  </li>
  <li>
   Proficiency in understanding data, entity relationships, structured &amp; unstructured data, SQL and NoSQL databases, better to be familiar with Elasticsearch
  </li>
  <li>
   Experience in RESTful API development
  </li>
  <li>
   Practices in multithreading programming and concurrency programming
  </li>
  <li>
   Use git proficiently
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Ideally, you&rsquo;ll also need
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience in nginx server
  </li>
  <li>
   Experience in using AWS or Azure cloud services
  </li>
  <li>
   A passion for constant improvement
  </li>
  <li>
   An innovative and creative approach to problem-solving
  </li>
  <li>
   Excellent communication skills
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What we look for:
  <br/>
  <br/>
 </strong>
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the G42 community.
 <br/>
 <br/>
 <strong>
  What Working At G42 Offers
  <br/>
  <br/>
 </strong>
 <em>
  <strong>
   Culture:
  </strong>
 </em>
 An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 <br/>
 <br/>
 <em>
  <strong>
   Career:
  </strong>
 </em>
 Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 <br/>
 <br/>
 <em>
  <strong>
   Rewards:
  </strong>
 </em>
 A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 <br/>
 <br/>
 Job Details
 <br/>
 <br/>
 Role Level: Not Applicable Work Type: Full-Time Country: United Arab Emirates City: Abu Dhabi Company Website: https://www.presight.ai Job Function: Software Development Company Industry/
 <br/>
 <br/>
 Sector: Other
 <br/>
 <br/>
 What We Offer
 <br/>
 <br/>
 <strong>
  About The Company
  <br/>
  <br/>
 </strong>
 Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.
 <br/>
 <br/>
 Report
 <br/>
 <br/>
 Disclaimer: talentmate.com is only a platform to bring jobseekers &amp; employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.
</div>


Backend Engineer

Arab Monetary Fund

<div>
 <p>
  <strong>
   Job Purpose:
  </strong>
 </p>
 <p>
  The Data Scientist supports the design and implementation of advanced data analytics solutions to enhance AMF&rsquo;s research, policy analysis, and decision-making capabilities. The role focuses on applying machine learning, AI, and statistical modelling to unlock insights, strengthen data integration, and advance innovation within the organization.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Roles and Responsibilities
 </p>
 <p>
  Key Accountabilities
 </p>
 <ul>
  <li>
   Design and implement statistical models, machine learning algorithms, and AI tools for large-scale structured and unstructured data
  </li>
  <li>
   Conduct predictive and prescriptive analytics to support economic and financial policy initiatives
  </li>
  <li>
   Continuously enhance models for performance, accuracy, and scalability
  </li>
  <li>
   Clean, transform, and manage diverse data sources using automated ETL pipelines
  </li>
  <li>
   Collaborate with IT to optimize data infrastructure for secure and efficient access
  </li>
  <li>
   Ensure data quality and alignment with organizational data architecture standards
  </li>
  <li>
   Partner with research teams on data-driven approaches for frontier topics (e.g., digital economy, AI, climate, financial innovation)
  </li>
  <li>
   Apply advanced techniques such as deep learning and NLP to enhance research
  </li>
  <li>
   Monitor developments in data science and introduce relevant tools and techniques
  </li>
  <li>
   Develop dashboards and visualizations to communicate insights to policymakers
  </li>
  <li>
   Create data storytelling outputs for publications, policy discussions, and training
  </li>
  <li>
   Ensure consistent and accessible data presentation across platforms and reports
  </li>
  <li>
   Comply with data protection regulations, internal policies, and ethical AI standards
  </li>
  <li>
   Support implementation of data governance frameworks and quality standards
  </li>
  <li>
   Participate in audits and compliance reviews related to data use and access
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Qualifications and Requirements:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Knowledge and Experience:
  </strong>
 </p>
 <ul>
  <li>
   Minimum 5 years of experience in:
  </li>
  <li>
   Data science
  </li>
  <li>
   Machine learning
  </li>
  <li>
   Advanced analytics
  </li>
  <li>
   Preferably within economic, financial, or public policy sectors
  </li>
  <li>
   Proven ability to develop predictive models and deliver actionable insights
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Education:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in:
  </li>
  <li>
   Data science
  </li>
  <li>
   Computer science
  </li>
  <li>
   Statistics
  </li>
  <li>
   Economics Or a related field
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Certifications (Preferred):
  </strong>
 </p>
 <ul>
  <li>
   Recognized certifications such as:
  </li>
  <li>
   Google Data Analytics
  </li>
  <li>
   IBM Data Science
  </li>
  <li>
   SAS
  </li>
  <li>
   CAP (Certified Analytics Professional)
  </li>
 </ul>
 <p>
  <br/>
 </p>
</div>


Data Scientist

DICETEK LLC

<div><p><b>Role Summary</b></p><p>
The Senior Engineer &ndash; Data Governance &amp; Platform Lead (IB&amp;M) is a hands-on senior technical role responsible for defining, implementing, and governing the IB&amp;M Data Platform with a strong focus on data governance, quality, lineage, security, and platform standards.</p><p>
The role will work closely with Global Markets, Investment Banking, Risk, Compliance, and Analytics teams to ensure data is trusted, compliant, and scalable across the enterprise. This is not a people‑management role but requires strong technical leadership and ownership across the data lifecycle.</p><p>
<b>Key Responsibilities</b></p><ul><li>
Define and govern the IB&amp;M Data Platform, ensuring strong data governance, quality, lineage, security, and compliance.
</li><li>Lead the design and implementation of scalable data platform standards across Azure Lakehouse (ADLS, Databricks, Delta Lake).
</li><li>Provide technical leadership on data architecture, platform engineering, and governance best practices.
</li><li>Collaborate with Global Markets, Risk, Compliance, Analytics, and engineering teams to deliver trusted and compliant data solutions.
</li><li>Review solution designs, establish platform standards, and ensure scalability, performance, security, and regulatory compliance.</li></ul><p></p><p><b><br>
Experience</b></p><ul><li><b>10+ years</b> of experience in <b>Data Engineering, Data Platforms, or Data Architecture</b></li><li>Proven experience leading <b>data governance initiatives</b> in large, regulated environments (Banking / Financial Services preferred)</li><li>Strong background supporting <b>Global Markets / Investment Banking</b> data domains is highly desirable</li></ul><p><b>
Technical Skills</b></p><ul><li>Strong hands-on experience with:
</li></ul><p>o <b>Azure Data Lake (ADLS)</b></p><p>
o <b>Databricks / Delta Lake / Lakehouse architectures</b></p><p>
o Data quality, schema enforcement, and validation frameworks</p><ul><li>Experience with <b>data cataloging and governance tools</b> (e.g., Unity Catalog, Informatica Axon or similar)
</li><li>Solid understanding of:
</li></ul><p>o Data modeling (analytical and canonical models)</p><p>
o Metadata management and lineage</p><p>
o Secure data access and entitlements</p><ul><li>Good understanding of <b>AI/ML and analytics enablement</b> within governed data platforms</li></ul><p><b>
Soft Skills</b></p><ul><li>Strong ownership mindset with ability to work independently</li><li>Excellent stakeholder management and communication skills</li><li>Ability to translate regulatory and business requirements into technical solutions</li><li>Comfortable working in <b>complex, multi‑vendor, enterprise environments</b></li></ul></div><p></p>

Data Governance & Platform Lead – IB&M

Birbal AI

<div>
 <p>
  The Data Engineer will be responsible for supporting data management, system integration, reporting data flows, and enterprise application data activities. The role requires hands-on experience in SQL, data pipelines, data extraction, transformation, APIs, CRM/Dataverse data structures, reporting datasets, and production support.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Key Responsibilities
 </p>
 <p>
  Develop, maintain, and optimize data pipelines and data integration workflows.
 </p>
 <p>
  Work with SQL databases, CRM/Dataverse, APIs, and enterprise application data sources.
 </p>
 <p>
  Support data extraction, transformation, loading, and reconciliation activities.
 </p>
 <p>
  Build and maintain datasets for dashboards, reports, and analytics.
 </p>
 <p>
  Troubleshoot data issues related to missing records, incorrect mappings, failed integrations, or report mismatches.
 </p>
 <p>
  Support integration between enterprise applications, portals, CRM systems, and reporting platforms.
 </p>
 <p>
  Work with Power BI datasets, SQL scripts, views, stored procedures, and data models.
 </p>
 <p>
  Support automation workflows using Power Automate or similar platforms.
 </p>
 <p>
  Coordinate with business users, application teams, QA teams, and data quality resources to resolve data issues.
 </p>
 <p>
  Prepare and maintain technical documentation for data flows, mappings, APIs, and transformation logic.
 </p>
 <p>
  Ensure data security, confidentiality, governance, and compliance requirements are followed.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Required Skills
 </p>
 <p>
  Strong SQL development and database knowledge.
 </p>
 <p>
  Experience in ETL/ELT, data pipelines, and data integration.
 </p>
 <p>
  Knowledge of CRM/Dataverse or similar enterprise application data models.
 </p>
 <p>
  Experience with Power BI datasets, reporting databases, or analytics platforms.
 </p>
 <p>
  Understanding of APIs, data exchange, and system integration.
 </p>
 <p>
  Good knowledge of data validation, data reconciliation, and data troubleshooting.
 </p>
 <p>
  Strong analytical, problem-solving, and communication skills.
 </p>
</div>


Data Engineer – SQL, Power BI & Dataverse

Explore 94+ Data analytics specialist in Abu Dhabi this July. Find roles across top companies and apply now to boost your career.

94 data analytics specialist jobs In Abu Dhabi

Data Science Expert

Data Science Expert

Business Analyst – Data & Analytics

Backend Engineer

Data Scientist

Data Governance & Platform Lead – IB&M

Data Engineer – SQL, Power BI & Dataverse