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Role: Software Engineer (Human Data Platforms) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $140K - $220K/yr<br>Role Overview:We are hiring for one of our clients, seeking a Software Engineer (Human Data Platforms) to work on a full-time basis. The role involves designing, developing, and maintaining scalable data platforms that process and analyze human-generated datasets. The position requires expertise in handling large-scale data infrastructure while ensuring performance, reliability, and security.<br>Key Responsibilities:• Design, build, and optimize data pipelines to process human-generated datasets at scale.• Develop and maintain backend services that support real-time and batch data processing.• Collaborate with data scientists and analysts to ensure data integrity and accessibility.• Implement monitoring, logging, and alerting systems to maintain platform reliability.• Contribute to architectural decisions that enhance scalability and performance of data systems.<br>Required Skills & Qualifications:• Proficiency in Python, Java, or Go for backend development.• Experience with distributed systems, including Kafka, Spark, or similar technologies.• Knowledge of cloud platforms such as AWS, GCP, or Azure for data infrastructure.• Familiarity with SQL and NoSQL databases for data storage and retrieval.• Understanding of data governance, security, and compliance best practices.• Ability to design and optimize data pipelines for performance and scalability.• Experience with containerization and orchestration tools like Docker and Kubernetes.• Strong problem-solving skills and attention to detail in debugging complex systems.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | Data Infrastructure and Analytics industry, contributing to the development of robust data platforms that power critical business decisions. The position involves solving complex technical challenges in a collaborative, distributed team environment.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Software Engineer (Human Data Platforms) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $140K - $220K/yr<br>Role Overview:We are hiring for one of our clients, seeking a Software Engineer (Human Data Platforms) to work on a full-time basis. The role involves designing, developing, and maintaining scalable data platforms that process and analyze human-generated datasets. The position requires expertise in handling large-scale data infrastructure while ensuring performance, reliability, and security.<br>Key Responsibilities:• Design, build, and optimize data pipelines to process human-generated datasets at scale.• Develop and maintain backend services that support real-time and batch data processing.• Collaborate with data scientists and analysts to ensure data integrity and accessibility.• Implement monitoring, logging, and alerting systems to maintain platform reliability.• Contribute to architectural decisions that enhance scalability and performance of data systems.<br>Required Skills & Qualifications:• Proficiency in Python, Java, or Go for backend development.• Experience with distributed systems, including Kafka, Spark, or similar technologies.• Knowledge of cloud platforms such as AWS, GCP, or Azure for data infrastructure.• Familiarity with SQL and NoSQL databases for data storage and retrieval.• Understanding of data governance, security, and compliance best practices.• Ability to design and optimize data pipelines for performance and scalability.• Experience with containerization and orchestration tools like Docker and Kubernetes.• Strong problem-solving skills and attention to detail in debugging complex systems.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | Data Infrastructure and Analytics industry, contributing to the development of robust data platforms that power critical business decisions. The position involves solving complex technical challenges in a collaborative, distributed team environment.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Overview<br><br>The Technical Director – Data Centres is the senior technical authority for Multidisciplinary engineering services associated with Data Centre projects across the Middle East region.<br><br>The role is responsible for ensuring technical excellence, design quality, governance compliance, innovation, digital delivery and successful project execution across all stages of the project lifecycle. The position provides leadership to project teams, supports strategic client engagement, leads technical input into major pursuits and serves as a trusted advisor to clients and internal stakeholders.<br><br>In addition to project delivery responsibilities, the role is accountable for supporting the development and expansion of Atkins Réalis' Data Centre market sector in partnership with the Market Director. This includes sector strategy development, client engagement, market intelligence, thought leadership, capability building and work-winning support.<br><br>The Technical Director is expected to be recognised both internally and externally as a subject matter expert in mission-critical facilities and to contribute to the growth and reputation of Atkins Réalis as a leading Data Centre engineering consultant.<br><br>Your role<br><br>Technical Leadership & Engineering Excellence<br><br>Act as the highest level of technical authority for on Data Centre projects. Provide strategic technical direction for hyperscale, colocation, enterprise and edge Data Centre developments. Review and approve major engineering strategies, design philosophies and technical solutions. Lead resolution of complex technical challenges, constructability issues and multidisciplinary coordination matters. Ensure designs achieve optimum levels of resilience, reliability, maintainability, energy efficiency and operational flexibility. Support projects through design reviews, assurance gates and independent technical audits. Promote best practice engineering methodologies and continuous improvement across project teams. Champion technical excellence and innovation throughout the project lifecycle.<br><br>Design Governance & Quality Assurance<br><br>Ensure compliance with Atkins Réalis quality management processes, technical governance frameworks and OCRA requirements. Lead peer reviews, technical audits and independent design verifications. Maintain alignment with applicable international standards, local authority regulations and client requirements. Monitor technical risks and develop mitigation strategies. Ensure lessons learned are captured and incorporated into future project delivery. Act as technical signatory for major deliverables where delegated authority permits.<br><br>Data Centre Subject Matter Expertise<br><br>Provide specialist expertise in mission-critical building systems including:Civil, Architectural and Structural envelope. Power generation and distribution systems. UPS systems and battery technologies. Cooling and thermal management systems. Water conservation and sustainability solutions. Fire protection and life safety systems. Building Management Systems (BMS). Data Centre Infrastructure Management (DCIM). Security and critical communications systems. Maintain awareness of emerging technologies and industry trends affecting Data Centre design and operation. Promote adoption of innovative solutions that improve performance, resilience and sustainability.<br><br>Market Sector Development<br><br>Working jointly with the Market Director:Support development and implementation of the regional Data Centre market strategy. Identify emerging opportunities and growth areas within the mission-critical sector. Build and maintain relationships with hyperscale operators, colocation providers, investors, developers and technology partners. Participate in executive client engagement programmes. Represent Atkins Réalis at industry forums, conferences and sector events. Develop sector-specific marketing material, thought leadership publications and technical papers. Contribute to annual business planning, forecasting and pipeline development. Support strategic account planning and key client relationship management. Help position Atkins Réalis as a preferred engineering advisor within the Data Centre market.<br><br>Work Winning & Client Development<br><br>Lead technical input for strategic pursuits and major bids. Develop compelling technical methodologies and delivery strategies. Participate in bid/no bid assessments and opportunity reviews. Support fee development, risk assessments and resource planning activities. Prepare and deliver client presentations and interview submissions. Provide technical leadership during proposal development activities. Support contract negotiations and technical clarifications where required.<br><br>Project Delivery Leadership<br><br>Provide technical oversight across multiple commissions simultaneously. Support Project Directors and Project Managers in delivering successful outcomes. Ensure projects are delivered safely, profitably and in accordance with client requirements. Review project performance, technical risks and resource requirements. Assist in resolving project issues that may impact programme, quality or commercial performance. Support strategic decisions on complex or high-risk projects.<br><br>Digital Engineering & Innovation<br><br>Drive adoption of digital engineering methodologies within the Data Centre sector. Promote BIM, Digital Twin and data-centric delivery approaches. Support implementation of automation, AI-enabled workflows and advanced analytical tools. Champion innovation initiatives that improve project delivery efficiency and design quality. Collaborate with digital delivery leaders to establish industry-leading technical practices.<br><br>Sustainability & Future Ready Design<br><br>Champion sustainable and resilient Data Centre design principles. Support implementation of decarbonisation strategies and Net Zero objectives. Promote efficient energy and water utilisation solutions. Encourage adoption of circular economy principles where appropriate. Guide project teams in achieving client sustainability targets and recognised sustainability certifications.<br><br>People Leadership & Capability Development<br><br>Mentor and develop senior engineering staff and future leaders. Support succession planning. Assist in recruitment, retention and workforce planning activities. Foster a culture of collaboration, inclusion, accountability and continuous learning. Contribute to talent reviews and career development discussions. Promote knowledge sharing across the regional and global Data Centre communities.<br><br>About You<br><br>Key Accountabilities<br><br>The role holder shall be accountable for:Technical quality of Data Centre engineering outputs. Technical governance compliance and risk management. Successful delivery of major and complex Data Centre projects. Growth of Atkins Réalis' technical reputation within the market. Development of Data Centre sector capability and market presence. Contribution to sector revenue growth and work winning. Technical development and mentoring of engineering teams. Adoption of innovation and digital delivery initiatives.<br><br>Education<br><br>Bachelor's Degree in Mechanical Engineering, Electrical Engineering, Building Services Engineering or related discipline. Master's Degree desirable.<br><br>Professional Qualifications<br><br>Chartered Engineer status (CEng, PE or equivalent recognised institution). Membership of a relevant professional institution such as CIBSE, IET, IEEE, ASHRAE or equivalent.<br><br>Experience<br><br>Typically 20+ years post-graduate experience. Significant experience delivering mission-critical or Data Centre projects. Proven record of leadership within a major international consultancy. Demonstrated capability managing complex multidisciplinary engineering teams. Strong client-facing and stakeholder management experience. Evidence of successful work-winning and business development activities.<br><br>Technical Knowledge<br><br>Demonstrable knowledge of:Uptime Institute principles. TIA-942. ASHRAE Data Centre guidance. NFPA standards. IEC and IEEE standards. High-voltage and low-voltage electrical systems. Critical cooling technologies. Resilience and redundancy strategies. Sustainability and energy optimisation approaches.<br><br>Leadership Competencies<br><br>Strategic thinking. Commercial awareness. Client focus. Technical authority and influence. Decision making under uncertainty. Collaboration and stakeholder management. Coaching and talent development. Innovation and change leadership.<br><br>Success Measures<br><br>Delivery of technically compliant and high-quality project outcomes. Positive client feedback and repeat business. Growth in Data Centre market share and pipeline. Achievement of work-winning targets. Strong safety and quality performance. Development and retention of high-performing technical teams. Increased adoption of digital and innovative delivery practices. Recognition of Atkins Réalis as a leading Data Centre engineering consultant in the region.<br><br>Rewards & benefits<br><br>Explore the rewards and benefits that help you thrive – at every stage of your life and your career.<br><br>This Includes<br><br>Tax-free salary. Life insurance coverage. Medical insurance. Annual leave balance. Company gratuity scheme. Discretionary bonus program. Annual flight contribution. Transportation & housing allowances. Employee Wellbeing Program: 24/7 access to specialists in finance, legal matters, family care, personal health, fitness, and nutrition.<br><br>Seize every opportunity to sharpen your skills, expand your expertise, and be recognized for the impact you make.<br><br>About Atkins Réalis<br><br>We're Atkins Réalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's'infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people.<br><br>Find out more.

Are you passionate about transforming businesses through the power of Artificial Intelligence, Machine Learning, and Advanced Analytics? Miral Experiences is seeking an exceptional Senior Director, AI & Data Science to lead our AI and data science strategy, drive innovation, and build next-generation solutions that shape the future of entertainment, leisure, and immersive guest experiences.<br>Join us at Miral Experiences! Miral Experiences is the region’s leader in the management and operation of world-class, award-winning immersive attractions and experiences across Abu Dhabi. Our diverse portfolio includes some of the most iconic entertainment and leisure destinations, including Ferrari World Yas Island Abu Dhabi, Yas Waterworld Yas Island Abu Dhabi, Warner Bros. World™ Yas Island Abu Dhabi, Sea World Yas Island Abu Dhabi, CLYMB™ Yas Island Abu Dhabi, and Team Lab. Phenomena Abu Dhabi, and CLYMB™ Abu Dhabi, as well as cultural treasures like Qasr Al Watan.<br>We specialize in crafting unique experiences that cater to all tastes and ages, delivering a seamless blend of thrills, joy, and discovery. Our attractions are designed to ignite the imagination and create unforgettable memories for visitors from around the world. Whether you're seeking excitement, relaxation, or cultural enrichment, we offer something for everyone.<br>About the Role As the Senior Director of AI & Data Science, you will be responsible for defining and executing the organization's AI and data science vision, leveraging advanced analytics, machine learning, generative AI, and emerging agentic AI technologies to solve complex business challenges and unlock new growth opportunities. You will partner closely with senior business leaders and technology teams to develop cutting-edge AI solutions, accelerate data-driven decision-making, and build a culture of innovation across the enterprise.<br>What You'll Do✅ Lead the enterprise AI & Data Science strategy and roadmap✅ Drive the development and deployment of advanced Machine Learning, Predictive Analytics, Generative AI, and Agentic AI solutions✅ Deliver high-impact data science initiatives that influence strategic business decisions✅ Build and mentor a high-performing team of AI and Data Science professionals✅ Partner with business leaders to identify opportunities where data and AI can drive measurable business value✅ Champion innovation by evaluating emerging technologies, intelligent agents, and AI-powered automation opportunities✅ Oversee the full lifecycle of AI and Data Science projects from ideation to production deployment✅ Promote best practices in data governance, ethics, model validation, and responsible AI<br>What We're Looking For✔ Master's degree or PhD in Data Science, Computer Science, Statistics, Mathematics, Artificial Intelligence, or a related field✔ 10+ years of experience in Data & Analytics✔ 8+ years of hands-on experience in Data Science, Machine Learning, AI or Advanced Analytics leadership roles✔ Deep expertise in Machine Learning algorithms, predictive modelling, statistical analysis, and AI solution development✔ Strong experience with Python and modern AI frameworks✔ Advanced knowledge of Azure Data & AI services, including Azure ML, Databricks, Data Factory, ADLS, and related technologies✔ Experience working with large-scale enterprise data platforms, distributed databases, and cloud-native analytics environments✔ Proven ability to translate complex data insights into actionable business outcomes✔ Exceptional stakeholder management and executive communication skills<br>If you're ready to shape the future of AI-driven experiences and build solutions that make a real impact, we'd love to hear from you.

<p>For over seven decades, Chalhoub Group has been a partner and creator of luxury experiences in the Middle East. In its pursuit to excel as a hybrid luxury retailer, the Group has curated a portfolio of over 10 owned brands and strengthened its distribution and marketing expertise for over 400 international names across luxury fashion, beauty, jewellery, watches, eyewear, and art de vivre categories.</p> <p>Every step at Chalhoub Group is taken to build a future where luxury dreams become reality — bridging cultures and crafting memorable experiences for our consumers. Be it by constantly reinventing itself, committing to innovation, or embracing new technologies, the Group is shaping the future of luxury retail. It delivers seamless omnichannel experiences across more than 950 stores, online platforms, and mobile apps. Driving this innovation journey is The Greenhouse — the Group’s innovation hub, incubator, and accelerator for startups and emerging businesses, regionally and globally.</p> <p>Chalhoub Group fosters a people-at-heart culture rooted in diversity, equity, and inclusion, and a workplace catalysed by forward thinking and future-proofing. Today, it brings together over 16,000 talented professionals across eight countries in the Middle East, with a presence in LATAM. Their collective efforts have earned the Group the Great Place to Work® certification in several markets.</p> <p>Sustainability is at the core of the Group’s strategy, guided by a clear commitment to people, partners, and the planet. Chalhoub Group is proud to be a member of the United Nations Global Compact, a signatory of the Women’s Empowerment Principles, and to have pledged to reach Net Zero by 2040.</p> <h4>What you'll be doing</h4> <p>We are looking for a Senior iOS Engineer to join our Mobile Engineering team and help build a world-class eCommerce iOS application.</p> <p>You will work on a large-scale customer-facing mobile experience, developing features across the complete shopping journey, from product discovery and browsing to checkout, payments, and post-purchase experiences.</p> <p>The ideal candidate has strong experience building scalable iOS applications using Swift, SwiftUI, and UIKit, understands modern mobile architecture, and enjoys solving complex product and engineering challenges in a fast-paced eCommerce environment.</p> <h4>Key responsibilities:</h4> <ul> <li>Design, develop, and maintain a high-quality eCommerce iOS application</li> <li>Build modern user experiences using SwiftUI & UIKit</li> <li>Develop scalable and maintainable features using MVVM architecture</li> <li>Work across key eCommerce journeys including product browsing, search, shopping cart, checkout, payments, and customer experiences</li> <li>Design and implement payment-related features including integration with multiple payment processors, Cash-on-Delivery (COD), and Buy Now Pay Later (BNPL) solutions such as Tabby and Tamara</li> <li>Integrate with backend services using REST APIs</li> <li>Work with server-driven UI approaches to enable scalable and flexible mobile experiences</li> <li>Handle networking, data management, error handling, and performance optimization</li> <li>Implement remote configuration and feature flag solutions to support controlled feature rollouts</li> <li>Integrate third-party SDKs, frameworks, and external services</li> <li>Implement analytics and tracking solutions</li> <li>Manage dependencies using Swift Package Manager (SPM) and CocoaPods</li> <li>Write clean, reusable, and testable code</li> <li>Participate in architecture discussions, code reviews, and technical improvements</li> <li>Collaborate closely with product managers, designers, backend engineers, and QA teams</li> <li>Take ownership of features from development through production release</li> <li>Ensure applications follow accessibility best practices and provide inclusive user experience</li> </ul> <h4>What you’ll need to succeed</h4> <ul> <li>5+ years of professional experience developing native iOS applications</li> <li>Strong knowledge of Swift</li> <li>Strong hands-on experience with SwiftUI & UIKit</li> <li>Experience building pixel-perfect user interfaces with attention to design details, responsiveness, and user experience</li> <li>Solid understanding of MVVM architecture and modern iOS development practices</li> <li>Strong understanding and hands-on experience with Swift Concurrency (async/await, actors, structured concurrency, etc.)</li> <li>Experience working with hybrid UIKit/SwiftUI applications</li> <li>Experience integrating RESTful APIs, JSON, and networking layers</li> <li>Experience with third-party SDK integrations</li> <li>Strong understanding of iOS frameworks, lifecycle, and best practices</li> <li>Experience writing clean, maintainable, and scalable code</li> <li>Strong memory management, debugging, and problem-solving skills</li> <li>Strong experience with localization and multi-language applications, including Arabic language support and RTL (Right-to-Left) layouts</li> <li>Experience developing accessible mobile applications following iOS accessibility guidelines</li> </ul> <h4>What we can offer you</h4> <p>With us, you will turn your aspirations into reality. We will help shape your journey through enriching experiences, learning and development opportunities, and exposure to different assignments within your role or through internal mobility. Our Group offers diverse career paths for those who are extraordinary, every day.</p> <p>We recognise the value that you bring, and we strive to provide a competitive benefits package which includes health care, child education contribution, remote and flexible working policies as well as exclusive employee discounts.</p> <h4>Using GenAI in your application process</h4> <p>To support a fair and consistent experience for all candidates, we ask that assessments and interviews are completed independently and without assistance from generative AI tools. This ensures we understand your strengths, your thinking, and how you approach real situations.</p> <h4>We invite all applicants to apply</h4> <p>It takes diversity of thought, culture, background, differing abilities and perspectives to truly inspire, exhilarate and delight our customers. At Chalhoub Group, we are committed to inclusion and diversity.</p> <p>We welcome all applicants to apply and be part of our exciting future. We ensure equal opportunity for all our applicants without regard to gender, age, race, religion, national origin or disability status.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b>Job Description</b>Overview<p>The Technical Director – Data Centres is the senior technical authority for Multidisciplinary engineering services associated with Data Centre projects across the Middle East region.</p><br><p>The role is responsible for ensuring technical excellence, design quality, governance compliance, innovation, digital delivery and successful project execution across all stages of the project lifecycle. The position provides leadership to project teams, supports strategic client engagement, leads technical input into major pursuits and serves as a trusted advisor to clients and internal stakeholders.</p><br><p>In addition to project delivery responsibilities, the role is accountable for supporting the development and expansion of AtkinsRéalis' Data Centre market sector in partnership with the Market Director. This includes sector strategy development, client engagement, market intelligence, thought leadership, capability building and work-winning support.</p><br><p>The Technical Director is expected to be recognised both internally and externally as a subject matter expert in mission-critical facilities and to contribute to the growth and reputation of AtkinsRéalis as a leading Data Centre engineering consultant.</p><br>Your role<p><b>Technical Leadership &amp; Engineering Excellence</b></p><br><ul><li>Act as the highest level of technical authority for on Data Centre projects.</li><li>Provide strategic technical direction for hyperscale, colocation, enterprise and edge Data Centre developments.</li><li>Review and approve major engineering strategies, design philosophies and technical solutions.</li><li>Lead resolution of complex technical challenges, constructability issues and multidisciplinary coordination matters.</li><li>Ensure designs achieve optimum levels of resilience, reliability, maintainability, energy efficiency and operational flexibility.</li><li>Support projects through design reviews, assurance gates and independent technical audits.</li><li>Promote best practice engineering methodologies and continuous improvement across project teams.</li><li>Champion technical excellence and innovation throughout the project lifecycle.</li></ul><p><b>Design Governance &amp; Quality Assurance</b></p><br><ul><li>Ensure compliance with AtkinsRéalis quality management processes, technical governance frameworks and OCRA requirements.</li><li>Lead peer reviews, technical audits and independent design verifications.</li><li>Maintain alignment with applicable international standards, local authority regulations and client requirements.</li><li>Monitor technical risks and develop mitigation strategies.</li><li>Ensure lessons learned are captured and incorporated into future project delivery.</li><li>Act as technical signatory for major deliverables where delegated authority permits.</li></ul><p><b>Data Centre Subject Matter Expertise</b></p><br><ul><li>Provide specialist expertise in mission-critical building systems including:</li><li>Civil, Architectural and Structural envelope.</li><li>Power generation and distribution systems.</li><li>UPS systems and battery technologies.</li><li>Cooling and thermal management systems.</li><li>Water conservation and sustainability solutions.</li><li>Fire protection and life safety systems.</li><li>Building Management Systems (BMS).</li><li>Data Centre Infrastructure Management (DCIM).</li><li>Security and critical communications systems.</li><li>Maintain awareness of emerging technologies and industry trends affecting Data Centre design and operation.</li><li>Promote adoption of innovative solutions that improve performance, resilience and sustainability.</li></ul><p><b>Market Sector Development</b></p><br><ul><li>Working jointly with the Market Director:</li><li>Support development and implementation of the regional Data Centre market strategy.</li><li>Identify emerging opportunities and growth areas within the mission-critical sector.</li><li>Build and maintain relationships with hyperscale operators, colocation providers, investors, developers and technology partners.</li><li>Participate in executive client engagement programmes.</li><li>Represent AtkinsRéalis at industry forums, conferences and sector events.</li><li>Develop sector-specific marketing material, thought leadership publications and technical papers.</li><li>Contribute to annual business planning, forecasting and pipeline development.</li><li>Support strategic account planning and key client relationship management.</li><li>Help position AtkinsRéalis as a preferred engineering advisor within the Data Centre market.</li></ul><p><b>Work Winning &amp; Client Development</b></p><br><ul><li>Lead technical input for strategic pursuits and major bids.</li><li>Develop compelling technical methodologies and delivery strategies.</li><li>Participate in bid/no bid assessments and opportunity reviews.</li><li>Support fee development, risk assessments and resource planning activities.</li><li>Prepare and deliver client presentations and interview submissions.</li><li>Provide technical leadership during proposal development activities.</li><li>Support contract negotiations and technical clarifications where required.</li></ul><p><b>Project Delivery Leadership</b></p><br><ul><li>Provide technical oversight across multiple commissions simultaneously.</li><li>Support Project Directors and Project Managers in delivering successful outcomes.</li><li>Ensure projects are delivered safely, profitably and in accordance with client requirements.</li><li>Review project performance, technical risks and resource requirements.</li><li>Assist in resolving project issues that may impact programme, quality or commercial performance.</li><li>Support strategic decisions on complex or high-risk projects.</li></ul><p><b>Digital Engineering &amp; Innovation</b></p><br><ul><li>Drive adoption of digital engineering methodologies within the Data Centre sector.</li><li>Promote BIM, Digital Twin and data-centric delivery approaches.</li><li>Support implementation of automation, AI-enabled workflows and advanced analytical tools.</li><li>Champion innovation initiatives that improve project delivery efficiency and design quality.</li><li>Collaborate with digital delivery leaders to establish industry-leading technical practices.</li></ul><p><b>Sustainability &amp; Future Ready Design</b></p><br><ul><li>Champion sustainable and resilient Data Centre design principles.</li><li>Support implementation of decarbonisation strategies and Net Zero objectives.</li><li>Promote efficient energy and water utilisation solutions.</li><li>Encourage adoption of circular economy principles where appropriate.</li><li>Guide project teams in achieving client sustainability targets and recognised sustainability certifications.</li></ul><p><b>People Leadership &amp; Capability Development</b></p><br><ul><li>Mentor and develop senior engineering staff and future leaders.</li><li>Support succession planning.</li><li>Assist in recruitment, retention and workforce planning activities.</li><li>Foster a culture of collaboration, inclusion, accountability and continuous learning.</li><li>Contribute to talent reviews and career development discussions.</li><li>Promote knowledge sharing across the regional and global Data Centre communities.</li></ul>About you<p><b>Key Accountabilities</b></p><br><ul><li>The role holder shall be accountable for:</li><li>Technical quality of Data Centre engineering outputs.</li><li>Technical governance compliance and risk management.</li><li>Successful delivery of major and complex Data Centre projects.</li><li>Growth of AtkinsRéalis' technical reputation within the market.</li><li>Development of Data Centre sector capability and market presence.</li><li>Contribution to sector revenue growth and work winning.</li><li>Technical development and mentoring of engineering teams.</li><li>Adoption of innovation and digital delivery initiatives.</li></ul><p><b>Education</b></p><br><ul><li>Bachelor's Degree in Mechanical Engineering, Electrical Engineering, Building Services Engineering or related discipline.</li><li>Master's Degree desirable.</li></ul><p><b>Professional Qualifications</b></p><br><ul><li>Chartered Engineer status (CEng, PE or equivalent recognised institution).</li><li>Membership of a relevant professional institution such as CIBSE, IET, IEEE, ASHRAE or equivalent.</li></ul><p><b>Experience</b></p><br><ul><li>Typically 20+ years post-graduate experience.</li><li>Significant experience delivering mission-critical or Data Centre projects.</li><li>Proven record of leadership within a major international consultancy.</li><li>Demonstrated capability managing complex multidisciplinary engineering teams.</li><li>Strong client-facing and stakeholder management experience.</li><li>Evidence of successful work-winning and business development activities.</li></ul><p><b>Technical Knowledge</b></p><br><ul><li>Demonstrable knowledge of:</li><li>Uptime Institute principles.</li><li>TIA-942.</li><li>ASHRAE Data Centre guidance.</li><li>NFPA standards.</li><li>IEC and IEEE standards.</li><li>High-voltage and low-voltage electrical systems.</li><li>Critical cooling technologies.</li><li>Resilience and redundancy strategies.</li><li>Sustainability and energy optimisation approaches.</li></ul><p><b>Leadership Competencies</b></p><br><ul><li>Strategic thinking.</li><li>Commercial awareness.</li><li>Client focus.</li><li>Technical authority and influence.</li><li>Decision making under uncertainty.</li><li>Collaboration and stakeholder management.</li><li>Coaching and talent development.</li><li>Innovation and change leadership.</li></ul><p><b>Success Measures</b></p><br><ul><li>Delivery of technically compliant and high-quality project outcomes.</li><li>Positive client feedback and repeat business.</li><li>Growth in Data Centre market share and pipeline.</li><li>Achievement of work-winning targets.</li><li>Strong safety and quality performance.</li><li>Development and retention of high-performing technical teams.</li><li>Increased adoption of digital and innovative delivery practices.</li><li>Recognition of AtkinsRéalis as a leading Data Centre engineering consultant in the region.</li></ul><span>Rewards &amp; benefits</span><p><span>Explore the rewards and benefits that help you thrive – at every stage of your life and your career.</span></p><br><p><span>This includes:</span></p><br><ul><li>Tax-free salary.</li><li>Life insurance coverage.</li><li>Medical insurance.</li><li>Annual leave balance.</li><li>Company gratuity scheme.</li><li>Discretionary bonus program.</li><li>Annual flight contribution.</li><li>Transportation &amp; housing allowances.</li><li>Employee Wellbeing Program: 24/7 access to specialists in finance, legal matters, family care, personal health, fitness, and nutrition.</li></ul><p><span>Seize every opportunity to sharpen your skills, expand your expertise, and be recognized for the impact you make.</span></p><br><span>About AtkinsRéalis</span><p><span>We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people. </span></p><br><p><span>Find out more.</span></p><br><b>Worker Type</b>Employee<b>Job Type</b>Regular<p><span><i>At </i></span> <i><span>AtkinsRéalis</span></i><span><i>, we seek to hire individuals with diverse characteristics, backgrounds and perspectives. We strongly believe that world-class talent makes no distinctions based on gender, ethnic or national origin, sexual identity and orientation, age, religion or disability, but enriches itself through these differences. &nbsp;</i></span></p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong><u>Senior Data Engineer</u></strong> &nbsp; <ul> <li>12 month extendable contract </li><li>Abu Dhabi | Office Based </li></ul> <p>I am seeking an experienced <strong>Senior Data Engineer</strong> to join a growing data and analytics team responsible for building scalable, secure, and high-performance data platforms. The successful candidate will design, develop, and optimize modern data solutions that support advanced analytics, business intelligence, and machine learning initiatives.</p><br><br> <p>This role requires expertise in large-scale data engineering, cloud technologies, and modern data architectures, with a strong focus on reliability, performance, security, and data governance.&nbsp;</p><br><br> <strong><u>Key Responsibilities</u></strong> <ul> <li>Design, develop, and maintain scalable data pipelines and ETL/ELT processes to ingest, transform, and process large-scale datasets.&nbsp; </li><li>Build and optimize data processing frameworks using technologies such as Spark, Delta Lake, Kafka, and other modern big data platforms. </li><li>Develop and maintain data models, schemas, data lakes, lakehouses, and data warehouses that support analytics and reporting requirements. </li><li>Implement data quality, validation, monitoring, and observability frameworks to ensure data accuracy and reliability. </li><li>Design and support real-time and batch data processing solutions using streaming technologies and distributed systems.&nbsp; </li><li>Ensure compliance with security, privacy, access control, and regulatory requirements for sensitive data.&nbsp; </li><li>Collaborate closely with data scientists, analysts, architects, and business stakeholders to deliver high-value data products and services.&nbsp; </li><li>Manage and enhance distributed data platforms to ensure scalability, availability, and performance.&nbsp; </li><li>Contribute to data governance, master data management, metadata management, and data catalog initiatives.&nbsp; </li><li>Stay current with emerging technologies, industry best practices, and innovations in cloud and data engineering.&nbsp; </li></ul> <u><strong>Required Qualifications</strong></u> <ul> <li>Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. </li><li>Minimum 5 years of experience designing, building, and operating enterprise-scale data platforms and pipelines.&nbsp; </li><li>Strong proficiency in SQL and Python.&nbsp; </li><li>Hands-on experience with Apache Spark, distributed data processing frameworks, workflow orchestration tools, and messaging platforms such as Kafka.&nbsp; </li><li>Experience with cloud-based data solutions on Azure, AWS, or Google Cloud Platform. </li><li>Strong knowledge of data warehousing, data lakes, lakehouse architectures, and data modeling methodologies.&nbsp; </li><li>Experience working with containerization and orchestration technologies such as Docker and Kubernetes.&nbsp; </li><li>Understanding of data governance, data quality, security, and privacy best practices.&nbsp; </li><li>Strong analytical, problem-solving, and communication skills.&nbsp; </li></ul> <br> #LI-MW1 <br><br> </div>

Our client is seeking an experienced Data Governance Manager to drive enterprise data governance, quality, architecture, and stewardship initiatives. The role will assess and enhance data management capabilities, establish policies and standards, and partner with business and technology teams to deliver trusted, high-quality data that supports analytics, AI, regulatory compliance, and strategic decision-making. UAE Nationals highly preferred.<br> <br><br>Key Responsibilities<br><br>Lead enterprise-wide data governance and data management initiatives. Conduct data maturity assessments using recognized frameworks such as DCAM. Develop and maintain enterprise data strategy, policies, standards, and operating models. Establish and manage Data Governance Councils, Data Stewardship programs, and ownership frameworks. Define and implement data quality controls, monitoring processes, and remediation plans. Drive metadata management, business glossary, data catalog, and lineage initiatives. Collaborate with business and technology teams to align data architecture with organizational objectives. Develop roadmaps to improve data management capabilities and measure progress through KPIs and maturity scores. Support AI, analytics, and digital transformation programs by ensuring trusted and well-governed data. Identify and mitigate data-related risks, including regulatory, privacy, and compliance requirements. Establish data management processes across the data lifecycle, from creation through archival and disposal. Provide thought leadership and guidance on industry best practices in data management and governance. Prepare executive-level presentations, business cases, and progress reports for senior stakeholders. Partner with technology teams on data platform, master data management, and data integration initiatives. Drive organizational change management and promote a data-driven culture.<br> <br><br>Qualifications<br><br>Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business, or a related field.10+ years of experience in Data Management, Data Governance, Data Architecture, or related disciplines. Demonstrated experience leading enterprise data governance and transformation programs. Strong understanding of: Data Governance Data Quality Metadata Management Master Data Management (MDM) Data Architecture Data Privacy and Compliance Experience conducting data maturity assessments and developing improvement roadmaps. Strong stakeholder engagement and executive communication skills. Experience working across business and technology functions. Experience with data catalog, metadata, and governance platforms. Proven ability to manage multiple workstreams in complex organizations. Preferred certifications: DCAM Certification and CDMP (Certified Data Management Professional) Experience supporting AI, machine learning, and advanced analytics initiatives. Consulting or advisory experience in large-scale transformation programs. Knowledge of cloud data platforms such as Azure, AWS, Google Cloud, Databricks, Snowflake, or Microsoft Fabric.

We are seeking an experienced Data Solution Architect to design and deliver secure, scalable, and citizen-centric data solutions aligned with Enterprise Architecture and digital transformation strategies. The role will lead data architecture, data governance, cloud platforms, analytics, AI/ML, and emerging Agentic AI capabilities across a large, regulated or government environment.<br>Key Responsibilities Develop enterprise data architecture and strategy aligned with digital transformation and modernization initiatives. Design scalable data platforms, lakehouses, data lakes, and end-to-end data pipelines supporting batch and real-time processing. Define and implement Data & AI governance frameworks, operating models, data quality, metadata, lineage, classification, and retention standards. Architect AI/ML, Gen AI, LLMOps, AI Engineering, and Agentic AI solutions for enterprise use cases. Design and implement modern data architecture patterns including Data Mesh, Data Fabric, Ontology, and Semantic Models. Define conceptual, logical, and physical data models, including Star, Snowflake, and Data Vault modelling. Ensure data solutions meet security, privacy, regulatory, and national data protection requirements. Lead architecture workshops and translate business and government requirements into technical solutions and roadmaps. Support technology evaluation, procurement, vendor selection, and implementation of data and AI platforms.<br>Required Experience & Skills Experience in Data Architecture, Data Strategy, and Solution Architecture, preferably within government or highly regulated environments. Strong hands-on experience with Azure, AWS, GCP, Snowflake, Databricks, Delta Lake, or Apache Iceberg. Proven experience architecting batch and event-driven/real-time data integration solutions. Strong knowledge of data governance, data quality, security, compliance, metadata, and lineage. Experience designing AI/ML and Gen AI architectures, including LLMs, Agentic AI, Lang Chain/Lang Graph or similar frameworks, MCP, prompt/context engineering, and AI evaluation. Strong understanding of Enterprise Architecture principles and alignment with broader digital transformation strategies. Excellent stakeholder management, communication, workshop facilitation, and technical leadership skills.

Key Accountabilities<br><br> Design, plan, and deliver telecom data enablement capabilities, audience solutions, and advertising data products aligned with business and monetization objectives. Prioritize and coordinate data engineering, platform development, and integration activities to support product roadmap execution and stakeholder requirements. Manage the end-to-end delivery of data initiatives, ensuring timely implementation of scalable, high-quality, and privacy-compliant solutions. Support the development of data monetization capabilities that create new revenue opportunities through telecom data products and audience solutions. Identify opportunities to improve platform efficiency and optimize data processing costs while maintaining performance and scalability. Collaborate with internal stakeholders across product, commercial, technology, and delivery teams to translate business requirements into data solutions. Build and maintain effective relationships with external partners, including CDPs, DSPs, clean rooms, and data onboarding providers, to ensure seamless data activation. Support Agile delivery practices and drive continuous improvement of data platforms, audience solutions, and operational processes.<br><br>Qualifications<br><br> Bachelor's degree in Computer Science, Data Engineering, Information Systems, Telecommunications, or a related field. Master's degree in a relevant discipline is preferred.<br><br>Experience<br><br> 6+ years of experience in data engineering, telecom analytics, AdTech, digital advertising, or data monetization environments. Experience developing and managing large-scale data platforms, ETL/ELT pipelines, and data integration workflows. Experience working with telecom datasets such as CDRs, network events, location intelligence, and subscriber data. Experience collaborating with cross-functional teams and external technology partners.<br><br>Skills<br><br> Strong proficiency in SQL and Python for large-scale data processing, analytics, and automation. Hands-on experience with enterprise data platforms and technologies such as Cloudera, Apache NiFi, Databricks, Teradata, and Hadoop ecosystem tools. Strong understanding of telecom data ecosystems, audience creation, and data monetization principles. Knowledge of advertising technology platforms including CDPs, DSPs, DMPs, identity solutions, and audience activation platforms. Experience with privacy-compliant data solutions and understanding of GDPR and related data protection regulations. Familiarity with cloud data platforms (AWS, Azure, and/or GCP) and machine learning/analytics tools. Knowledge of identity resolution, audience segmentation, clean rooms, and privacy-enhancing technologies. Strong analytical, problem-solving, and data modelling capabilities. Excellent stakeholder management, communication, and cross-functional collaboration skills. Ability to work in Agile environments and manage multiple priorities effectively.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br><br>This is a senior, hands-on position focused on designing and building scalable cloud data solutions, with Snowflake at the centre of the technology landscape.<br><br>You will combine architecture, data modelling, and engineering expertise to deliver a robust data platform, working closely with stakeholders across technology and the wider business.<br><br>Client Details<br><br>The business is committed to innovation, modern technology adoption, and delivering data-driven solutions that support strategic growth.<br><br>Description<br>Design and implement enterprise-level data architectures using Snowflake.Lead the development of scalable, secure, and high-performing data solutions.Define and maintain data models that support analytics, reporting, and business intelligence initiatives.Collaborate with business and technology stakeholders to translate requirements into technical solutions.Drive best practices across data engineering, cloud platforms, governance, and data lifecycle management<br><br><br>Profile<br>Strong experience as a Data Engineer, Data Architect, or similar senior data-focused role.Deep expertise in Snowflake architecture, optimisation, administration, and performance tuning.Proven experience with data modelling, including dimensional and enterprise data modelling techniques.Previous software engineering or software development background with strong coding and design principles.Experience working within the financial services sector, ideally delivering enterprise-scale data platforms.<br><br><br>Job Offer<br>Opportunity to lead the design of a modern cloud-based data platform.Exposure to strategic, business-critical transformation programmes and emerging technologies.<br><br> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills">Data Architect, Snowflake<br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong>Data Engineer (AWS Data Platform)&nbsp;</strong> <strong>Role Overview</strong> <p>We are seeking an experienced <strong>Data Engineer</strong> to build, optimize, and maintain enterprise-scale data platforms supporting Corporate &amp; Investment Banking operations.</p><br><br> <p>This is a core engineering role focused on designing and developing modern cloud-based data architectures using AWS technologies. The successful candidate will work across large-scale data ingestion, transformation, storage, and analytics initiatives, ensuring data platforms are scalable, secure, and highly performant.</p><br><br> <p>The ideal candidate will possess strong expertise in AWS data services, particularly <strong>Amazon Redshift, Athena, and Apache Iceberg</strong>, along with experience developing modern data lake and data warehouse solutions.</p><br><br> <strong>Key Responsibilities</strong> <ul> <li>Design, build, and maintain scalable cloud-based data platforms using AWS services </li><li>Develop and optimize data pipelines supporting enterprise analytics and reporting requirements </li><li>Implement and manage data lake and data warehouse solutions using <strong>Amazon Redshift, Athena, and Apache Iceberg</strong> </li><li>Build ETL/ELT processes for structured and unstructured datasets </li><li>Ensure data quality, reliability, governance, and performance across data platforms </li><li>Collaborate with business, analytics, and engineering teams to support data-driven initiatives </li><li>Optimize query performance, storage efficiency, and platform scalability </li><li>Implement data security and access controls aligned with enterprise standards </li><li>Support data modelling, metadata management, and data architecture initiatives </li><li>Contribute to automation, monitoring, and operational excellence across the data ecosystem </li><li>Troubleshoot and resolve platform and pipeline issues while maintaining high availability </li></ul> <strong>Required Skills &amp; Qualifications</strong> <ul> <li>5+ years of experience in <strong>Data Engineering</strong> </li><li>Strong hands-on experience with: <ul> <li><strong>Amazon Redshift</strong> </li><li><strong>Amazon Athena</strong> </li><li><strong>Apache Iceberg</strong> </li></ul> </li><li>Experience building cloud-native data lakes and data warehouse platforms </li><li>Strong SQL development and query optimization skills </li><li>Experience with ETL/ELT frameworks and data pipeline development </li><li>Strong understanding of data architecture and distributed data systems </li><li>Experience working within AWS cloud environments </li><li>Knowledge of data governance, security, and compliance standards </li><li>Strong analytical and problem-solving skills </li><li>Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field </li></ul> <strong>Preferred Skills &amp; Experience</strong> <ul> <li>Experience within <strong>Corporate Banking, Investment Banking, or Financial Services</strong> </li><li>Exposure to AWS Glue, EMR, Lambda, S3, and Lake Formation </li><li>Familiarity with modern data lakehouse architectures </li><li>Experience working within Agile and DevOps environments </li><li>AWS Certifications preferred </li><li>Exposure to real-time and streaming data architectures </li></ul> <strong>Halian Group</strong> <p>With over 28 years of experience, we have come to understand that innovation is the only way to provide agile, practical solutions that transform businesses and careers. Our resourcing and smart services help you to realise tomorrow's potential. Discover the amazing things possible when you bring the right people and the right technologies together.</p><br><br> <p>At Halian, we recognise that diversity, equity, and inclusion (DEI) are essential to building high-performing teams for our clients. We are committed to connecting organisations with top talent from all backgrounds, ensuring that every individual feels valued, respected, and empowered to contribute their unique perspectives.</p><br><br> <p>We encourage applications from all qualified candidates, regardless of race, gender, disability, or any other characteristic that makes them unique.</p><br><br> <p><strong>#LI-CC1</strong></p><br><br> <br> &nbsp; <br><br> </div>

Lead the Data Governance and Data Quality initiative, working closely with business and technology stakeholders to establish governance frameworks, data ownership, quality standards, and remediation processes. Provide advisory guidance, define the roadmap and operating model, and ensure governance practices are aligned with banking, regulatory and business requirements.<br>Must-have Skills Candidate with 15+ years of exp. and min 10 years of experience in Data Management / Data Governance / Data Quality. Strong experience in Data Governance frameworks, Data Quality, Data Ownership & Stewardship, Metadata and Data Lineage. Strong understanding of banking data and regulatory requirements. Experience with CBUAE regulations specifically DMF, DQR. Experience defining governance operating models, policies, standards and KPIs. Strong stakeholder management and ability to work with senior business and technology teams. Proven experience leading Data Governance / Data Quality initiatives in large enterprises or banks.<br>Good-to-have Experience with Informatica / IDMC governance platforms. Experience with KYC, Credit, Risk, Regulatory or Customer data. Knowledge on CBUAE CPR and PDPLExposure to AI Governance / Responsible AI. Experience in GCC / Middle East banking.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Data Engineering: Design, build, and optimize robust ETL/ELT data pipelines from multiple data sources.<br> Architecture &amp; Storage: Maintain cloud data warehouses (e.<br>g., Snowflake, BigQuery, Redshift) and data lakes.<br> Data Quality: Implement data governance, validation checks, and error-handling routines.<br> Advanced Analytics: Query large datasets using complex SQL and Python to extract business value.<br> Visualization &amp; Reporting: Create automated dashboards and BI reports (Tableau, Power BI) for stakeholders.<br> Experience: 4 to 6+ years of combined experience in data engineering and advanced data analysis.<br> Programming: Advanced SQL, Python, or Scala.<br> Big Data &amp; Cloud: Experience with AWS, GCP, or Azure; familiarity with Spark or Hadoop.<br> BI Tools: Expertise in Power BI or Tableau.<br> Orchestration: Hands-on practice with tools like Airflow or dbt.<br> Education: Degree in Computer Science, Engineering, Statistics</span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Black &amp; Grey HR is seeking an ROV Data Processing Manager to join the client's offshore project delivery team on a permanent basis. You will manage the ROV data processing function, ensuring the quality, accuracy, and timely delivery of subsea inspection and survey data products across multiple offshore projects. The role serves as the technical authority for processed ROV data deliverables, leading the data processing team and ensuring compliance with client requirements and project standards.<br><br>This is a permanent position supporting offshore ROV and subsea project operations. The successful candidate will oversee data processing workflows from acquisition through final delivery, working closely with ROV supervisors, survey teams, project managers, and clients to ensure high-quality data products are delivered within project timelines.<br><br>KEY RESPONSIBILITIES<br><br>1. ROV Data Processing Management<br><br>- Lead and manage the ROV data processing team, allocating workloads, establishing standards, and ensuring quality output across multiple projects<br><br>- Oversee processing and quality control (QC) of ROV-acquired data including inspection video, sonar imagery, pipeline and structure positioning data, and cathodic protection (CP) data<br><br>- Develop and maintain data processing workflows, procedures, software standards, and quality control processes<br><br>- Ensure processed data products meet project specifications, client requirements, and industry standards<br><br>- Manage data processing priorities and resources to support multiple concurrent offshore projects<br><br>2. Data Quality Assurance &amp; Deliverables<br><br>- Review and approve final ROV data deliverables including inspection reports, GIS datasets, survey outputs, and client-specific data formats<br><br>- Ensure data integrity, accuracy, traceability, and completeness throughout the processing lifecycle<br><br>- Manage project data deliverable schedules, ensuring timely submission to clients and project teams<br><br>- Liaise with ROV supervisors, survey teams, and project managers to align acquisition requirements with processing timelines<br><br>- Support technical reviews and resolve data-related queries from project stakeholders and clients<br><br>3. Technical Leadership &amp; Team Development<br><br>- Manage software licensing, hardware requirements, and system capabilities for ROV data processing operations<br><br>- Support client meetings, technical discussions, and presentations related to data processing methodologies, quality standards, and deliverables<br><br>- Mentor and develop data processing personnel, identifying training requirements and competency development opportunities<br><br>- Drive continuous improvement of data processing workflows, tools, and operational practices<br><br>- Ensure awareness and application of relevant industry standards and best practices<br><br></span><br><span>RequirementsEducation<br><br>- Degree in Marine Technology, Geomatics, Ocean Engineering, Hydrographic Survey, or a related discipline from a recognised institution<br><br>- Equivalent technical qualifications with significant ROV data processing experience will be considered<br><br>Experience<br><br>- 8–12 years of experience in ROV operations, subsea survey data processing, or offshore inspection data management<br><br>- Minimum 3 years of experience in a supervisory or team leadership role<br><br>- Proven experience managing ROV data processing activities and delivering subsea inspection and survey data products<br><br>- Expert-level proficiency in ROV and survey data processing software such as Coda Octopus, EIVA, AutoCAD, ArcGIS, or equivalent platforms<br><br>- Strong understanding of ROV inspection data, sonar processing, subsea positioning, GIS datasets, and offshore survey workflows<br><br>- Experience interfacing with ROV teams, survey personnel, project managers, and clients on technical data requirements<br><br>- ADNOC project exposure or experience supporting ADNOC-approved offshore operations is a strong advantage<br><br>Skills and Competencies<br><br>- Strong leadership and team management capabilities<br><br>- Excellent understanding of subsea data processing workflows and quality assurance requirements<br><br>- Ability to manage multiple projects and deliverables within strict timelines<br><br>- Strong technical problem-solving and analytical skills<br><br>- Excellent communication skills with technical teams, clients, and project stakeholders<br><br>- High attention to detail with strong focus on data accuracy and integrity<br><br>CERTIFICATIONS REQUIRED<br><br>- BOSIET or HUET — required if offshore deployment is required. Candidates must hold valid offshore safety certification.<br><br>- IMCA competency framework awareness — preferred<br><br>- Client-specific data management or software certifications — advantageous<br><br>- Relevant ROV, survey, GIS, or data processing certifications — advantageous<br><br>HOW TO APPLY<br><br>Submit your CV along with relevant offshore and technical certifications to: careers@black-grey.com<br><br>Please include in your application:<br><br>- Current CV (PDF preferred)<br><br>- Copy of BOSIET/HUET certificate (if held)<br><br>- Relevant ROV/data processing software certifications<br><br>- Details of ROV data processing experience and software expertise<br><br>- Availability / earliest start date<br><br>- Shortlisted candidates will be contacted within 5 working days of application.<br><br></span><br><span>Benefits- Permanent employment with a growing offshore engineering organization<br><br>- Opportunity to manage ROV data processing activities for ADNOC and international offshore projects<br><br>- Exposure to advanced subsea inspection technologies, survey systems, and digital data solutions<br><br>- Opportunity to lead and develop specialist technical teams<br><br>- Long-term career growth and progression within a stable organization<br><br></span><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job description <p>​</p><br><p><b>​Discover the Opportunity</b></p><br><p>We’re partnering with a leading financial services organisation in Abu Dhabi that is continuing to invest heavily in its Data &amp;amp; AI capabilities.</p><br><p>They’re looking for an experienced Data Engineer to build the scalable data infrastructure and pipelines that underpin advanced AI and machine learning solutions across the</p><br><p>business.</p><br><p>This is a hands-on engineering role where you’ll work closely with AI, ML and software engineering teams, ensuring they have access to reliable, high-quality data at scale.</p><br><p>​</p><br><p><b>Discover the Responsibilities</b></p><br><ul><li><p>Design, build and optimise scalable ETL/ELT pipelines to ingest, process and transform structured and unstructured data.</p><br></li><li><p>Develop reliable data infrastructure capable of supporting large-scale AI, machine learning and analytics workloads.</p><br></li><li><p>Continuously test, monitor and optimise data pipelines to improve performance, reliability and data integrity.</p><br></li><li><p>Work closely with AI/ML and software engineering teams to make high-quality data easily accessible for downstream applications.</p><br></li><li><p>Implement strong data quality, validation, governance and security practices across the data lifecycle.</p><br></li><li><p>Maintain clear documentation around data architecture, lineage and metadata.</p><br></li></ul><p><b>Discover the Requirements</b></p><br><ul><li><p> 5+ years of experience in Data Engineering, ETL development, data warehousing ors imilar positions.</p><br></li><li><p>Strong hands-on experience designing and managing ETL/ELT workflows using technologies such as Airflow, dbt, Luigi or similar.</p><br></li><li><p>Excellent Python and SQL skills, alongside experience with Scala, Java or another relevant programming language.</p><br></li><li><p>Experience working with big data architectures and optimising large-scale data pipelines.</p><br></li><li><p>Hands-on experience with cloud data environments across Azure, AWS or GCP.</p><br></li><li><p>Experience processing and managing large-scale structured and unstructured datasets.</p><br></li><li><p>Strong understanding of data quality, governance, monitoring and engineering best practices.</p><br></li><li><p>Excellent problem-solving skills with the ability to diagnose performance and data issues.</p><br></li><li><p>Bachelor’s degree in Computer Science, Engineering or a related technical discipline.</p><br></li></ul><p><b>Why Join?</b></p><br><ul><li><p>Work on large-scale Data &amp;amp; AI initiatives within a highly ambitious technology environment</p><br></li><li><p>Build the data foundations behind production AI and machine learning solutions</p><br></li><li><p>Work alongside experienced Data, AI, ML and Software Engineers</p><br></li><li><p>Take ownership of technically challenging data engineering problems with genuine business impact</p><br></li></ul><br> </div>

Role: Gameplay Data Specialist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $10 - $18/hour<br>Role Overview:We are hiring for one of our clients, seeking a Gameplay Data Capture Specialist to work on a contract basis. The position involves collecting and validating gameplay data for integration into analytical pipelines. Candidates will ensure data accuracy and consistency across game sessions.<br>Key Responsibilities:• Capture and log gameplay data from user sessions with precision.• Validate data integrity and resolve discrepancies in captured datasets.• Document metadata and contextual details for each gameplay recording.• Collaborate with data teams to align capture methods with analytical needs.• Maintain organized records of data sources, formats, and timestamps.<br>Required Skills & Qualifications:• Experience with data collection or gameplay analytics is required.• Knowledge of data validation and quality assurance processes is necessary.• Familiarity with scripting or automation tools for data handling is preferred.• Ability to interpret technical requirements for data capture is essential.• Attention to detail and methodical approach to documentation is required.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of scalable data pipelines. The position supports real-time feedback loops for game development teams.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>We offer you an <span>Ocean of Possibilities</span>. Join our family.</p><br><p><b>Data &amp; AI Transformation Architect</b></p><br><p>Location: DMESS, Abu Dhabi, UAE</p><br><p>Department: Data &amp; AI</p><br><p>Employment Type: Full-Time</p><br><p><b>Shape the Future of Data &amp; AI at Damen</b></p><br><p>At Damen Shipyards Group, we are on an ambitious journey to become a truly data-powered organization. To support this vision, we are strengthening our Data &amp; AI capabilities and investing in the people, platforms, governance, and technologies that will enable smarter decision-making across the enterprise. The role is intended to help evolve Damen's enterprise data architecture, governance, AI, and analytics capabilities while accelerating organizational data maturity.</p><br><p>We are not looking for someone who simply maintains architecture frameworks.</p><br><p>We are looking for a transformation-oriented Data &amp; AI professional who has successfully helped organizations move from fragmented and developing data capabilities toward leading-practice Data &amp; AI operating models. You may come from manufacturing, shipbuilding, construction, marine, offshore, engineering, energy, utilities, or similar asset-intensive industries where operational complexity, legacy systems, and disconnected data landscapes are common challenges.</p><br><p>This is an opportunity to drive meaningful change, influence business strategy, and shape the future of Data &amp; AI within a global maritime leader.</p><br><p><b>The Role</b></p><br><p>As a Data &amp; AI Transformation Architect, you will serve as a strategic advisor, consultant, and hands-on transformation leader. You will help define the future state of Damen's Data &amp; AI landscape while ensuring practical execution and measurable business value.</p><br><p>You will work closely with business leaders, Data Owners, Data Stewards, Enterprise Architects, Data Engineers, Analysts, Governance teams, and operational stakeholders to establish scalable data foundations, promote AI adoption, strengthen governance, and improve data-driven decision-making across the organization. The role requires a balance between vision, stakeholder management, architecture expertise, and pragmatic delivery.</p><br><p><b>Key Responsibilities</b></p><br><p><b>Lead Data &amp; AI Transformation</b></p><br><ul><li>Assess current Data &amp; AI capabilities and identify maturity improvement opportunities</li><li>Define and execute practical transformation roadmaps aligned with business priorities</li><li>Act as a trusted advisor to senior business and technology stakeholders</li><li>Drive adoption of modern Data Management, Analytics, Governance, and AI practices</li><li>Promote data-driven culture across business functions</li></ul><p><b>Shape Enterprise Data Architecture</b></p><br><ul><li>Develop and mature enterprise-wide data architecture principles, standards, and frameworks</li><li>Further develop and operationalize the Enterprise Data Model</li><li>Align business objectives, governance practices, architecture standards, and technology investments</li><li>Support the evolution of Damen's Data &amp; AI platform vision</li><li>Establish scalable approaches for data ownership, stewardship, quality, and lifecycle management</li></ul><p><b>Deliver Business Value</b></p><br><ul><li>Translate business challenges into practical Data &amp; AI solutions</li><li>Identify and prioritize high-value use cases that deliver measurable business outcomes</li><li>Support responsible and value-driven adoption of AI capabilities</li><li>Enable operational efficiency, improved decision-making, and enhanced business performance through data</li></ul><p><b>Drive Governance &amp; Integration</b></p><br><ul><li>Promote consistency and interoperability across enterprise platforms including SAP, Workday, Salesforce, Azure, and other strategic solutions</li><li>Embed governance, security, compliance, and data quality principles into practical implementations</li><li>Collaborate with Data Governance, Enterprise Architecture, Security, and MDM communities</li><li>Drive standardization and reuse across business domains and systems</li></ul><p><b>Influence &amp; Build Capability</b></p><br><ul><li>Facilitate workshops, strategy sessions, and stakeholder discussions</li><li>Coach leaders and teams on Data Governance, Data Management, and AI adoption</li><li>Translate complex technical concepts into clear business language</li><li>Build strong relationships across functions, cultures, and geographies</li><li>Support organizational change and long-term capability building</li></ul><p><b>What We're Looking For</b></p><br><p><b>Experience</b></p><br><ul><li>Minimum 10 years of experience in Data Architecture, Data Management, Analytics, AI, Digital Transformation, or related disciplines</li><li>Proven experience leading enterprise-wide Data &amp; AI transformation programs</li><li>Experience within manufacturing, marine, shipbuilding, offshore, construction, engineering, energy, utilities, or similar asset-intensive industries</li><li>Demonstrated success in improving organizational data maturity and business adoption</li><li>Experience combining strategic consulting with practical hands-on implementation</li><li>Experience working within complex international organizations</li></ul><p><b>Technical Expertise</b></p><br><ul><li>Enterprise Data Architecture</li><li>Enterprise Data Modelling (Conceptual, Logical &amp; Physical)</li><li>Data Governance &amp; Master Data Management</li><li>Data Quality Management</li><li>Microsoft Azure</li><li>Microsoft Fabric</li><li>Databricks</li><li>Microsoft Purview</li><li>AI &amp; Advanced Analytics</li><li><b>DAMA-DMBOK and/or TOGAF</b></li><li>Enterprise platforms such as SAP, Workday and Salesforce</li></ul><p><b>Personal Attributes</b></p><br><ul><li>Consultant mindset with strong business acumen</li><li>Strategic thinker who can also execute</li><li>Excellent stakeholder management and influencing skills</li><li>Strong communication and facilitation capabilities</li><li>Pragmatic, hands-on, and outcome-oriented</li><li>Comfortable working in complex, evolving environments</li><li>Passionate about helping organizations accelerate their Data &amp; AI maturity journey</li></ul><p><b>Why Join Damen?</b></p><br><p>At <b>Damen</b>, you will have the opportunity to make a real impact by helping shape the future of Data &amp; AI within a global maritime leader that is actively investing in digital transformation and data-driven decision-making. You will collaborate with business and technology stakeholders across multiple countries, functions, and business units, working on initiatives that influence how data and AI are embedded into day-to-day operations. As part of a growing Data &amp; AI function, you will benefit from strong executive sponsorship, strategic investment, and the opportunity to play a key role in accelerating our organization's data maturity journey. This is a unique chance to combine innovation, transformation, and practical business value creation while working in a collaborative environment that encourages entrepreneurship, ownership, continuous improvement, and professional growth. Ultimately, your work will help build the foundation for Damen to become a truly data-powered and AI-enabled enterprise.</p><br><p><b>Ideal Candidate Profile</b></p><br><p>The ideal candidate is currently working as a <b>Data Transformation Lead, Enterprise Data Architect, Data Strategy Consultant, Digital Transformation Consultant, Head of Data Governance, Data Management Lead, or similar role </b>within a complex industrial organization and has successfully helped transform data capabilities from a developing stage into a mature, scalable, enterprise-wide function. This individual combines consulting skills, business acumen, architecture expertise, and transformation leadership to deliver lasting organizational impact.</p><br> </div>

<p>We are looking for a detail-oriented and organized Data Entry Analyst to join our growing team.</p> <p>Key Responsibilities:</p> <p>Accurately enter, update, and maintain data in company systems and databases.<br /> Review and verify data for accuracy and completeness.<br /> Generate reports and maintain proper documentation.<br /> Identify and resolve data discrepancies.<br /> Ensure data confidentiality and compliance with company policies.<br /> Coordinate with different departments to maintain accurate records.<br /> Applicants may send cv via email address salamalaikalocal@gmail.com</p>