data analytics analyst

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

Birbal AI

<div>
 <p>
  The Data Quality Specialist will be responsible for reviewing, validating, cleansing, and improving the quality of organizational data across enterprise systems, databases, reports, dashboards, and operational records.
 </p>
 <p>
  The candidate will help ensure that data used for operations, reporting, dashboards, integrations, and decision-making is accurate, complete, consistent, valid, and reliable.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Key Responsibilities
 </p>
 <p>
  Perform data profiling to identify missing, duplicate, invalid, inconsistent, or outdated records.
 </p>
 <p>
  Review data across enterprise systems, CRM, databases, reports, dashboards, and Excel files.
 </p>
 <p>
  Define and apply data validation rules for mandatory fields, formats, codes, reference values, and business rules.
 </p>
 <p>
  Identify data quality issues and prepare clear issue logs for resolution.
 </p>
 <p>
  Support data cleansing activities in coordination with business and technical teams.
 </p>
 <p>
  Validate data updates, corrections, migrations, and system changes.
 </p>
 <p>
  Reconcile data between source systems, reports, dashboards, and operational records.
 </p>
 <p>
  Work with Data Engineers to resolve mapping issues, pipeline issues, and integration-related data errors.
 </p>
 <p>
  Prepare data quality reports showing issue counts, root causes, trends, and resolution status.
 </p>
 <p>
  Support report accuracy by validating source data and dashboard outputs.
 </p>
 <p>
  Maintain data quality documentation, validation rules, cleansing logs, and issue trackers.
 </p>
 <p>
  Ensure data confidentiality, privacy, governance, and compliance requirements are followed.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Required Skills
 </p>
 <p>
  Good SQL knowledge for data checking, validation, and analysis.
 </p>
 <p>
  Strong Excel skills, including filtering, formulas, lookup functions, and data comparison.
 </p>
 <p>
  Experience in data profiling, data cleansing, data validation, and data reconciliation.
 </p>
 <p>
  Understanding of data quality dimensions such as accuracy, completeness, consistency, uniqueness, validity, and timeliness.
 </p>
 <p>
  Ability to identify duplicate records, missing values, wrong formats, and incorrect mappings.
 </p>
 <p>
  Knowledge of databases, reports, dashboards, and enterprise application data.
 </p>
 <ul>
  <li>
   Strong attention to detail, analytical thinking, and communication skills.
  </li>
 </ul>
</div>


Data Quality Analyst

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>


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

Presight

<div>
 <strong>
  About Presight
  <br/>
  <br/>
 </strong>
 <strong>
  JOB DESCRIPTION
  <br/>
  <br/>
 </strong>
 Presight, an ADX-listed public company limited by shares whose majority shareholder is Abu Dhabi company G42, is the region&rsquo;s leading big data analytics company powered by Artificial Intelligence (&ldquo;AI&rdquo;). It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. With its world-class computer vision, AI and omni-analytics platform as its engine, Presight leverages all-source data to support insight-driven decision making that shapes policy and creates safer, healthier, happier, and more sustainable societies.
 <br/>
 <br/>
 <strong>
  The Opportunity:
  <br/>
  <br/>
 </strong>
 Seeking a meticulous and expert Senior Engineer - Site Reliability to build and support the Presight delivery model that empowers product &amp; technology teams to develop &amp; deliver high-quality products, improve platform infrastructure and strengthen the reliability of products and solutions. You play a key role in defining &amp; establishing the delivery model deployed in the development of cutting edge, next-gen analytics solutions &amp; services at Presight.
 <br/>
 <br/>
 <strong>
  Key Responsibilities:
  <br/>
  <br/>
 </strong>
 As an Engineer &ndash; Site Reliability, you will be responsible for working with relevant stakeholders to drive scope definition, specification, and architecture for all services in the CI/CD pipeline that power the Presight delivery model.
 <br/>
 <br/>
 <em>
  Functional
  <br/>
  <br/>
 </em>
 <ul>
  <li>
   Foster a positive SRE culture that promotes frequent releases, high levels of automation (Ansible, Terraform, Helm), and software reliability (Monitoring Tools).
  </li>
  <li>
   Lead and troubleshoot high priority incidents impacting the organization, providing timely support to quickly resolve critical incidents for Linux based systems.
  </li>
  <li>
   Identify application patterns &amp; analytics in support of better service level objectives while integrating self-service &amp; resiliency patterns.
  </li>
  <li>
   Review and modify CI/CD principles and service maturity iteratively, striving for continuous improvement.
  </li>
  <li>
   Collaborate with internal teams to propose, architect and implement innovative &amp; transformational solutions for Presight.
  </li>
  <li>
   Champion SRE approaches across strategic systems to predict &amp; prevent disruptive events and improve the availability of solutions.
  </li>
  <li>
   Design &amp; enable automated change, release and upgrade management practices across existing products &amp; solutions.
  </li>
  <li>
   Ensure compliance with defined IT governance controls, standards, and practices.
  </li>
  <li>
   Improve service availability and scalability through tuning, automation, tools, and process.
  </li>
  <li>
   Analyze service performance, identify bottlenecks, and provide measurable improvement plans.
  </li>
  <li>
   Serve as primary point of contact for all matters concerning the customer and develop a trusted advisor relationship with executive sponsors by understanding their business needs and technical challenges.
  </li>
  <li>
   Comply with QHSE (Quality Health Safety and Environment), Business Continuity, Information Security, Privacy, Risk, Compliance Management and Governance of Organizations policies, procedures, plans and related risk assessments.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in business Analytics, Data Science, Computer Science, Engineering, or related field.
  </li>
  <li>
   Minimum 5-7 years of experience in DevOps Operations and deployment.
  </li>
  <li>
   Public Cloud (Azure must), Linux, Kubernetes, Docker, python hands on is must.
  </li>
  <li>
   Hands on experience on Private Cloud Openstack, OpenShift.
  </li>
  <li>
   Hands on experience on automation tools (Ansible, Terraform, Helm).
  </li>
  <li>
   CI/CD tools (GitLab, Jenkins and ArgoCD) and DevOps processes must have.
  </li>
  <li>
   Big data technologies i.e. Elasticsearch, Opensearch, Hadoop Cluster deployment.
  </li>
  <li>
   At least 3 years of experience in architectural knowledge and understanding of distributed systems and cloud infrastructure.
  </li>
  <li>
   Shell &amp; Python scripting.
  </li>
  <li>
   Handson experience on monitoring tools like ELK, Prometheus, Grafana and Zabbix.
  </li>
  <li>
   Handson experience on managing bare metal or virtualized environments.
  </li>
  <li>
   Must have knowledge of cloud networking and security.
  </li>
  <li>
   Strong experience on databases like MySQL, PostgreSQL, MongoDB, MSSQL.
  </li>
  <li>
   HashiCorp Vault or similar secrets management tools.
  </li>
  <li>
   Experience on Migration of DevOps Tools / Applications / Databases.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Ideally, you&rsquo;ll also need
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A highly detail-oriented and methodical approach to problem solving.
  </li>
  <li>
   A passion for technology, troubleshooting and customer service.
  </li>
  <li>
   A strongly analytical mind.
  </li>
  <li>
   Great verbal and written communication skills
  </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 Presight community.
 <br/>
 <br/>
 <strong>
  What working at Presight 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.
</div>


Senior Engineer - Site Reliability

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Senior Engineer - Site Reliability