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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 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

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: 3823
</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>We are seeking a versatile and experienced Data Engineer to join our team. The ideal candidate will have a strong background in data engineering and machine learning, with the ability to design, build, and maintain data pipelines, as well as develop and deploy machine learning models. This role requires a deep understanding of data lakehouses, such as Databricks and Azure Fabric, and the ability to work collaboratively with cross-functional teams to deliver data-driven solutions.<br>
<br>
</p></div></div><div><div><h2 class="jobSectionHeader"><b>Key Activities, Responsibility &amp; Accountability</b></h2>
</div><div><div>Key Responsibilities:
<br>
Data Engineering:
<br>
<ul><li>Design, build, and maintain scalable data pipelines and ETL processes.
</li><li>Work with large datasets and data lakehouses, including Databricks and Azure Fabric.
</li><li>Ensure data quality, integrity, and security across all data pipelines.
</li><li>Optimize data storage and retrieval processes for performance and efficiency.
</li></ul>Machine Learning Engineering:
<br>
<ul><li>Develop, implement, and optimize machine learning models and algorithms.
</li><li>Perform data analysis and model tuning to improve accuracy and performance.
</li><li>Deploy machine learning models into production environments.
</li><li>Monitor and maintain the performance of deployed models.
</li></ul>Collaboration:
<br>
<ul><li>Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
</li><li>Work closely with data scientists, analysts, and other stakeholders to ensure seamless integration of data and models.
</li></ul>Continuous Learning:
<br>
<ul><li>Stay up-to-date with the latest advancements in data engineering and machine learning.
</li><li>Participate in training and development opportunities to enhance skills and knowledge.<br>
</li></ul></div></div></div><div><div><h2 class="jobSectionHeader"><b>Responsibilities &amp; Accountabilities (contd.)</b></h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader"><b>Professional Certifications</b></h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader"><b>Qualifications</b></h2>
</div><div><p>Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Experience</b></h2>
</div><div><ul><li>5-10 years of experience in data engineering and machine learning.
</li><li>Proficiency in programming languages such as Python, R, or SQL.
</li><li>Experience with data lakehouses, particularly Databricks and Azure Fabric.
</li><li>Strong analytical and problem-solving skills.
</li><li>Excellent communication and teamwork abilities.
</li><li>Ability to work independently and manage multiple projects simultaneously.</li></ul></div></div></div></div></div></div></div></div><p></p>

Data Engineer

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>


Data Science Expert

<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>

Renofix Maintenance and Facilities Management

<p>* MUST BE ABLE TO JOIN IMMEDIATLY.</p><p>- To make invoices and quotations for the clients.</p><p>- To arrange the work schedules for the technicians and follow up.</p><p>- To receive the inquiries, complains, requests from the clients.</p><p>- To create accurate input for assets into the CAFM/CMMS for data records and reports (manual &amp; computerized) in accordance with Company procedures.</p><p>- To ensure that asset data is correctly entered, stored and maintained.<br/>- Input asset data and planned maintenance into database program<br/>- To provide Planned Preventive Maintenance (PPM) work orders, in accordance with pre-program of work.<br/>- To raise Reactive Maintenance (RM) work orders for technical staff<br/>- To interrogate data records (manual &amp; computerized) as directed for accuracy, legibility or damage.<br/>- To auto generate reporting data on PPM and RM carried out to ascertain status.<br/>- To generate periodic reports accurately and efficiently for client reporting.<br/>- To sort, classify, file and retrieve information, according to content, purpose, user criteria, or numerical order in accordance with company filing system<br/>- To document materials movement, using computer system<br/>- To communicate with customers, employees, and other individuals by Help Desk action and to impart information on status of work orders.<br/>- To complete work schedules and follow up with the concerned personnel to close the completed task in the system.<br/>- To update and close the completed task in the system</p><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>Where are you from (nationality)</li><li>What is your visa status?</li><li>How many years of professional experience do you have in the UAE?</li><li>How many years of experience do you have as CAFM operator?</li><li>How would you rate your self in Excel? </li><li>What is your current monthly salary (in AED)?</li><li>What is your minimum expected salary (in AED)?</li><li>What is your current notice period? Are you available to join immediately?</li></ul><p>Work Location: In person</p>

Call Center, CFAM Operator Agent for Maintenance and FM Co

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  Who we are
  <br/>
  <br/>
 </strong>
 With over 14,000 professionals globally, GHD is a leading multidisciplinary professional services company delivering engineering, design, and advisory solutions across water, energy, resources, environment, property &amp; buildings, and transportation sectors.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We are seeking an experienced and driven Lead Electrical Engineer to join our Global Data Centre Design Team (Mission Critical), based in our UAE offices. This is a high-profile leadership role for a technically accomplished engineer with a proven track record in the design and delivery of complex data centre projects.
 <br/>
 <br/>
 You will have the opportunity to lead the electrical engineering design on some of the most advanced AI and hyperscale data centre projects worldwide. These projects range from deploying and refining standardised, high-performance designs for global clients to delivering fully bespoke, cutting-edge facilities that set new benchmarks for innovation, resilience, and sustainability.
 <br/>
 <br/>
 You will play a central role in influencing future data centre design approaches, working closely with clients, multidisciplinary teams, and industry experts to deliver efficient, sustainable, and commercially viable engineering solutions that meet the rapidly evolving demands of AI-driven infrastructure.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Lead the electrical design for mission critical facilities, covering all aspects including medium and low voltage power distribution, UPS systems, standby generation, lighting, earthing, and lightning protection.
  </li>
  <li>
   Drive technical excellence by producing high-quality designs, specifications, reports, and calculations in accordance with client requirements, local regulations, and international standards.
  </li>
  <li>
   Conduct load assessments, redundancy strategy planning, fault/discrimination studies, and resilience planning for high-availability facilities.
  </li>
  <li>
   Coordinate with mechanical, structural, ICT, security, and other disciplines to ensure integrated, clash-free, and optimised designs.
  </li>
  <li>
   Provide technical leadership and mentoring, supporting the growth of less experienced engineers and fostering a culture of continuous improvement.
  </li>
  <li>
   Oversee project budgets, deliverables, and programmes, ensuring compliance with contractual and quality requirements.
  </li>
  <li>
   Maintain direct client engagement, presenting solutions, managing expectations, and offering proactive technical input during all project phases.
  </li>
  <li>
   Contribute to the development, adaptation, and improvement of client standard reference designs, as well as the design of bespoke facilities.
  </li>
  <li>
   Champion innovation, integrating energy efficiency, sustainability, and emerging technologies into design strategies.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience &amp; Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Electrical Engineering (Master&rsquo;s degree or Chartered Engineer status preferred).
  </li>
  <li>
   Minimum 10 years&rsquo; relevant experience, with at least 3 years in mission critical and/or data centre projects.
  </li>
  <li>
   Proven expertise in MV/LV distribution systems, UPS and generator systems, and advanced redundancy schemes.
  </li>
  <li>
   Strong understanding of cooling integration, ICT systems, and commissioning processes specific to high-availability environments.
  </li>
  <li>
   Familiarity with hyperscale and AI data centre design considerations is highly desirable.
  </li>
  <li>
   Proficiency in ETAP, Amtech, AutoCAD, Revit, and other relevant design tools.
  </li>
  <li>
   Track record of producing detailed designs including schematic diagrams, fault and discrimination studies, technical reports, and specifications.
  </li>
  <li>
   Strong leadership, problem-solving, and stakeholder management skills.
  </li>
  <li>
   Excellent communication skills with the ability to lead discussions, influence decision-making, and collaborate across multiple disciplines.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join Us?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work on globally significant projects, influencing the next generation of AI and hyperscale data centre design.
  </li>
  <li>
   Be part of a globally recognised, fast-growing mission critical team delivering projects that blend technical excellence, sustainability, and commercial success.
  </li>
  <li>
   Collaborate in a multi-disciplinary, innovative environment where your input shapes both standardised and bespoke solutions.
  </li>
  <li>
   Join a team that values knowledge-sharing, mentorship, and professional excellence.
  </li>
  <li>
   Be part of a workplace that combines collaboration, flexibility, and connection. Join us in the office three days per week to contribute, connect and excel in our vibrant environment.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Our Pledge to You
  <br/>
  <br/>
 </strong>
 At GHD, we don&rsquo;t just believe in the power of commitment, we live and breathe it every day.
 <br/>
 <br/>
 That&rsquo;s why we pledge to empower our people to make a positive impact. Combining our deep technical expertise with the capabilities of our clients and partners, we respond to some of the most complex challenges facing our planet today.
 <br/>
 <br/>
 See where your commitment could take you.
 <br/>
 <br/>
 That&rsquo;s the
 <strong>
  #PowerOfCommitment
 </strong>
</div>


Lead Electrical Engineer- Mission Critical (Data Centres)

Planet

<div>
 <strong>
  Welcome to Planet. We believe in using space to help life on Earth.
  <br/>
  <br/>
 </strong>
 Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one.
 <br/>
 <br/>
 Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world&rsquo;s toughest obstacles.
 <br/>
 <br/>
 As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains.
 <br/>
 <br/>
 We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world.
 <br/>
 <br/>
 Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 Planet&rsquo;s Professional Services team helps our Defense and Intelligence (D&amp;I) customers adopt the Planet Platform and rapidly realize return on investment in Planet data and analytics. The Professional Services Global D&amp;I team is looking for a Solutions Architect responsible for the implementation, integration, and analysis of new software and data products that extend the Planet Platform and deliver new capabilities to our strategic D&amp;I customers. In this role, you will be embedded with our customer to train users on Planet products, translate requirements, design workflows, and communicate with Planet&rsquo;s product team on mission critical capabilities. Your work will be highly visible, directly impacting customers' ability to quickly access Planet's unprecedented datasets, as well as streamline the internal processes for adding new customers to our platform. Ideal candidates will be excited about Planet&rsquo;s mission.
 <br/>
 <br/>
 This is a full-time, in-office position based in one of our strategic customer locations 5 days a week, in Abu Dhabi, UAE. This position is contingent upon award.
 <br/>
 <br/>
 <strong>
  Impact You&rsquo;ll Own
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Understand clients&rsquo; needs and deliver tailored solutions
  </li>
  <li>
   Break down ambiguous, high-stakes problems into clearly defined, solvable components
  </li>
  <li>
   Leverage analytical skills to deliver products to our D&amp;I customers and support mission requirements
  </li>
  <li>
   Design workflows, defining data models, configuring integrations, and helping define tooling that aligns to the customer&rsquo;s mission.
  </li>
  <li>
   Train users, iterate with them in real time, and ensure that Planet solutions become mission-critical to daily operations.
  </li>
  <li>
   Translate operational requirements into actionable product feedback for Planet&rsquo;s engineering teams.
  </li>
  <li>
   Communicate technical capabilities back to customers in clear, mission-focused language.
  </li>
  <li>
   Rapidly prototype, test, and adjust workflows to match real operational needs.
  </li>
  <li>
   Mapping out high-level strategy with decision makers by sitting next to analysts to debug workflows.
  </li>
  <li>
   Work closely with customer teams to understand their workflows, pain points, and mission priorities.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You Bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Software, Systems Engineering, or similar
  </li>
  <li>
   4+ years of experience in supporting D&amp;I customers, with specialized technical experience in the general areas of systems integration
  </li>
  <li>
   Fluent in Golang, Python, Postgresql, &amp; React or related technologies
  </li>
  <li>
   Experience with cloud deployments; GCP, AWS, Azure
  </li>
  <li>
   Solid problem-solving and systems thinking skills
  </li>
  <li>
   Exceptional communication and stakeholder management
  </li>
  <li>
   Ability to quickly learn new technical domains and tools
  </li>
  <li>
   Comfortable operating in ambiguous, high-pressure environments
  </li>
  <li>
   Deep curiosity and willingness to dive into operational details
  </li>
  <li>
   Fluency in translating between technical and non-technical audiences
  </li>
  <li>
   Experience with solving complex problems through analytical skills
  </li>
  <li>
   Experience scaling and maintaining production systems
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What Makes You Stand Out
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience working with defense and intelligence organizations in the UAE
  </li>
  <li>
   Systems integrations experience working with multi domain/multi-level security architectures, particularly the Defence and Intelligence.
  </li>
  <li>
   Working knowledge of JavaScript and its mapping libraries (OpenLayers, Leaflet, ArcGIS API for JavaScript), Google Earth Engine and it&rsquo;s SDK
  </li>
  <li>
   Experience with RDBMS (PostgreSQL, SQL) and distributed databases (NoSQL)
  </li>
  <li>
   Experience in geopolitics and data science
  </li>
  <li>
   Ability to pick up new technologies quickly
  </li>
  <li>
   Experience with building analytical products from complex datasets
  </li>
  <li>
   Experience with geospatial technologies and data
  </li>
  <li>
   GEOINT experience, imagery exploitation and analysis
  </li>
  <li>
   Fluent in multiple languages
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Application Deadline:
 </strong>
 February 20th, 2026 at 11:59PM PST
 <br/>
 <br/>
 <strong>
  Benefits While Working At Planet
  <br/>
  <br/>
 </strong>
 <em>
  These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.
  <br/>
  <br/>
 </em>
 <ul>
  <li>
   Paid time off including vacation, holidays and company-wide days off
  </li>
  <li>
   Employee Wellness Program
  </li>
  <li>
   Home Office Reimbursement
  </li>
  <li>
   Monthly Phone and Internet Reimbursement
  </li>
  <li>
   Tuition Reimbursement and access to LinkedIn Learning
  </li>
  <li>
   Equity
  </li>
  <li>
   Volunteering Paid Time Off
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  San Francisco Fair Chance Ordinance
  <br/>
  <br/>
 </strong>
 Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
 <br/>
 <br/>
 <strong>
  Why We Care So Much About Belonging.
  <br/>
  <br/>
 </strong>
 We&rsquo;re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That&rsquo;s why Planet is guided by an ultimate north star of Belonging&mdash;dreaming big as we approach our ongoing work. If this job intrigues you, but you&rsquo;re thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don&rsquo;t just fill positions, we aspire to fulfill people&rsquo;s careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you&rsquo;re excited to come along for the ride.
 <br/>
 <br/>
 <strong>
  EEO Statement
  <br/>
  <br/>
 </strong>
 Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. Know Your Rights.
 <br/>
 <br/>
 <strong>
  Accommodations
  <br/>
  <br/>
 </strong>
 Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to accommodations@planet.com or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you.
 <br/>
 <br/>
 <strong>
  Privacy Policy
 </strong>
 : By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Planet Data Privacy Notice for California Staff Members and Applicants, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.
 <br/>
 <br/>
 <strong>
  Privacy Policy (European Applicants):
 </strong>
 By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Candidate Privacy Notice GDPR Planet Labs Europe, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.
 <br/>
 <br/>
 <strong>
  AI in Our Interviewing Process
 </strong>
 : Planet is committed to providing an exceptional interview experience for all candidates. We currently use Metaview to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a "Planet AI Notetaker" for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy.
 <br/>
 <br/>
 <strong>
  Candidate AI Policy
 </strong>
 : Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to
 <em>
  prepare
 </em>
 for interviews and assessments. However,
 <em>
  during any live interview stage or when actively completing assessments for this position, the use of AI tools&mdash;e.g. Large Language Models (LLMs), deep fake technology, etc.&mdash;is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions
 </em>
 . If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact accommodations@planet.com with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.
 <br/>
 <br/>
</div>


Solutions Architect Deployment Strategist

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