Database Developer Jobs

<p>The <strong>Precast BIM Coordinator</strong> manages the BIM workflows, model exchange, and spatial integration for precast concrete manufacturing and installation projects. Sitting at the intersection of the main contractor's design team, precast structural engineers, factory production management, and site erection crews, this role ensures all 3D precast models align strictly with ISO 19650 standards and project BIM Execution Plans (BEP). The Precast BIM Coordinator leads cross-disciplinary clash resolution, enforces model data integrity (LOD 300 to LOD 500), and streamlines the digital thread from design modeling through CAM data extraction to final site placement.</p><p><strong>Key Responsibilities</strong></p><ul><li><p><strong>BIM Execution & Process Management</strong></p><ul><li><p>Implement and enforce project-specific BIM Execution Plans (BEP) across internal precast modeling teams and external sub-consultants.</p></li><li><p>Manage the Common Data Environment (CDE) setups (e.g., Autodesk Construction Cloud / Trimble Connect) for smooth IFC/RVT/NWD file exchanges.</p></li><li><p>Establish precast modeling standards, shared parameters, element naming conventions, and coordinate system setups (project base points).</p></li></ul></li><li><p><strong>Interdisciplinary Coordination & Clash Resolution</strong></p><ul><li><p>Conduct regular BIM coordination meetings with main contractors, MEP engineers, and architectural teams.</p></li><li><p>Perform automated clash detection checks (using Navisworks or Solibri) to identify spatial conflicts between precast elements, MEP cast-in sleeves, structural steel interfaces, and cast-in-place concrete.</p></li><li><p>Log, track, and assign Clash Reports and RFIs via CDE platforms to ensure timely resolution prior to factory mold assembly.</p></li></ul></li><li><p><strong>Production & Site Digital Integration</strong></p><ul><li><p>Verify that model data outputs accurately feed factory automated machinery (driving BVBS, Unitechnik, or DXF files for mesh welders and CNC plotters).</p></li><li><p>Coordinate 4D (Schedule/Erection sequencing) and 5D (Quantity take-offs/BOM) model integration to support production planning and transport logistics.</p></li><li><p>Support quality control by verifying as-built laser scan point clouds against the precast fabrication models for tolerance checks.</p></li></ul></li><li><p><strong>Quality Assurance & Team Oversight</strong></p><ul><li><p>Audit incoming sub-consultant models and internal team models for spatial accuracy, parameter completeness, and LOD compliance before production release.</p></li><li><p>Train and support precast detailers and BIM modelers on standard modeling workflows and platform updates.</p></li></ul></li></ul><p><strong>Desired Candidate Profile</strong></p><p>Education: Bachelor’s Degree or Higher Diploma in Civil Engineering, Architectural Technology, BIM Management, or Construction Management.</p><p>Experience: 5–8+ years in BIM modeling and coordination, with at least 3 years focused on structural precast concrete projects and offsite manufacturing.</p><p>Software Mastery: Advanced expertise in Navisworks Manage, Tekla Structures, Autodesk Revit, Solibri Model Checker, and Autodesk Construction Cloud (ACC) / BIM 360 / Trimble Connect.Standards & ProtocolsIn-depth knowledge of ISO 19650 standards, COBie data structures, IFC schema/interoperability, and BEP formulation.Core CompetenciesMulti-party technical facilitation, automated clash detection matrix management, CAM/CNC data validation, 4D erection simulation.</p>

<strong>A Little About Us<br><br></strong>EDB provides a data and AI platform that enables organizations to harness the full power of Postgres for transactional, analytical, and AI workloads across any cloud, anywhere. EDB empowers enterprises to control risk, manage costs and scale efficiently for a data and AI led world. Serving more than 1,500 customers globally and as the leading contributor to the vibrant and fast-growing PostgreSQL community, EDB supports major government organizations, financial services, media and information technology companies. EDB’s data-driven solutions enable customers to modernize legacy systems and break data silos while leveraging enterprise-grade open source technologies. EDB delivers the confidence of up to 99.999% high availability with mission critical capabilities built in such as security, compliance controls, and observability. For more information, visit www.enterprisedb.com<br><br>Analytics &amp; AI Account Executive - Middle East &amp; Africa (MEA)<br><br>EDB provides a data and AI platform that enables organizations to harness the full power of Postgres for transactional, analytical, and AI workloads across any platform, any cloud, anywhere. EDB empowers enterprises to control risk, manage costs and scale efficiently for a data and AI led world. Serving more than 1,500 customers globally and as the leading contributor to the vibrant and fast-growing PostgreSQL community, EDB’s data-driven solutions enable customers to modernize legacy systems and break data silos while leveraging enterprise-grade open source technologies. As organizations increasingly bring together operational data, analytics, and AI workloads, EDB is expanding its ability to help customers build a modern data foundation for the next generation of applications and intelligent experiences.<br><br>The Analytics &amp; AI Account Executive is a strategic overlay role partnering directly with our Sales Account Executives to accelerate Platform and Analytics revenue. This role bridges deep domain expertise with tactical sales execution to drive opportunity generation, deal velocity, and field enablement.<br><br><strong>What You Will Do<br><br></strong><ul><li>Deal Acceleration: Co-sell alongside account and territory owners on active deals, providing the specialized expertise needed to progress and close complex Platform and Analytics opportunities.</li><li>Pipeline Generation: Design and execute targeted sales campaigns within existing accounts to unearth new analytics opportunities and expand the footprint.</li><li>Field Enablement: Act as the primary domain expert for the sales organization, ensuring AEs and the broader field are continuously equipped with the latest analytics messaging, competitive positioning, and value propositions.</li><li>Strategic Alignment: Work in lockstep with account owners to ensure analytics solutions are integrated seamlessly into broader account plans and overarching territory strategies.<br><br></li></ul><strong>What We Are Looking For<br><br></strong><ul><li>Proven track record of exceeding quota in enterprise technology sales.</li><li>Experience selling Analytics, AI, data platforms, cloud, databases or related enterprise technology.</li><li>Strong consultative and value-based selling skills &amp; ability to use MEDDIC framework in closing complex enterprise deals.</li><li>Demonstrated ability to create pipeline rather than relying solely on inbound opportunities.</li><li>Experience selling complex solutions to enterprise customers.</li><li>Strong understanding of Analytics, AI, data platforms, data modernization, or related technologies.</li><li>Ability to engage credibly with senior technology and business executives.</li><li>Strong discovery, qualification, negotiation, forecasting, and closing skills.</li><li>Ability to operate effectively as an overlay across multiple Account Executives and accounts.</li><li>Strong collaboration skills with the ability to influence without directly owning the broader account relationship.</li><li>High level of commercial ownership, urgency, and accountability.<br><br></li></ul>EDB is committed to supporting our employees' overall well being by offering a range of benefits and resources to promote a healthy work-life balance and wellness. We provide access to CuraLinc to aid employees in health and wellness tips and practices, as well as Wellness Fridays extending to December 2026! Check out our career site for more information on perks and benefits and reach out to our Talent Acquisition team for region specific benefits.<br><br>We know it takes a unique mix of people and skills to help us in our mission to supercharge Postgres, and we understand that not everyone will check every box. We’d love to hear from you and we want you to apply!<br><br>EDB is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. EDB was built on a commitment to trust and respect each other and to embrace an array of people and ideas. These values remain at the center of our culture and are key to our company’s integrity.<br><br>EDB does not seek or accept unsolicited resumes or CVs from recruitment agencies. EDB and its affiliates are not responsible for, and will not pay, any fees, commissions, or any other similar payment related to unsolicited resumes or CVs except as required in a written signed agreement between EDB and the recruitment agency or party requesting payment of a fee.<br><br>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><u>Snap Inc</u> is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.</p><br><br><p>The Company operates <u>Snapchat</u>, a visual messaging app that enhances your relationships with friends, family, and the world, and <u>Specs Inc.</u>, a wholly-owned subsidiary dedicated to making computing more human, in addition to <u>Bitmoji</u>, Saturn, and other digital services.</p><br><br><p><span>We’re looking for a Group Analyst to join Team Snapchat! Working closely with the Sales team, you will be tasked with helping us unlock revenue and drive category growth by uncovering actionable insights -&nbsp; identifying aggregate vertical trends in addition to doing in-depth client analysis.&nbsp;</span></p><br><p><span>What you’ll do:</span></p><br><ul><li><span>Understanding challenges the business faces and helping them to make decisions based on data driven insights by collating and analyzing information from multiple sources and a logical and coherent story.&nbsp;</span></li><li><span>Understand the business challenges and needs to help leadership make data driven decisions by analyzing and combining data across multiple sources.&nbsp;&nbsp;</span></li><li><span>Identify performance trends across auction campaigns to fuel optimization recommendations; evangelize best practices across the account management group&nbsp;</span></li><li><span>Use data and logic to impact client and business success by providing analysis, insights,reports and actionable recommendations</span></li></ul><ul><li><span>Partner with cross-functional teams to build out measurement agendas/strategies, provide data based insights for products in alpha or beta, and deliver feedback on data tools in development. .</span></li><li><span>Distill complicated analytical concepts for&nbsp; broader audiences and be able to influence their decision making through a data story&nbsp;</span></li><li><span>Build and maintain dashboards and reports to help the business understand and optimize advertiser performance and product development through a client-centric lens.</span></li><li><span>Proactively identify projects that impact revenue, defines scope and objectives, and proposes a course of action required to attain objectives&nbsp;</span></li><li><span>Work with Account Management to provide real time analysis for auction campaigns; influence incremental spend through data driven upsell recommendations</span></li><li><span>Function as a thought leader, offering insights related to vertical or category industry trends in order to inform or strengthen Snap’s in-market pitch.&nbsp;</span></li></ul><p><span>Minimum qualifications:</span></p><br><ul><li><span>Bachelor’s degree in computer science/economics/mathematics or equivalent preferred</span></li><li><span>5+ years experience in quantitative analysis and research</span></li><li><span>Proficiency in sql and python/R for analysis and data visualization</span></li></ul><br><p><span>Preferred qualifications:</span></p><br><ul><li><span>Data driven and analytical mindset&nbsp;</span></li><li><span>Strong attention to detail and organizational&nbsp;</span></li><li><span>Ability to work in an agile, dynamic environment</span></li><li><span>Ability to work individually while operating as a collaborative team player</span></li><li><span>Are able to grasp business problems and design technical data-based solutions that are implementable,efficient and scalable</span></li><li><span>Experience in performing analysis on big data sets and coming up with actionable insights</span></li><li><span>Comfortable in interpreting complex data signals and presenting to technical and non-technical audiences</span></li><li><span>Arabic speaker is a plus</span></li></ul><br><p><span>If you have a disability or special need that requires accommodation, please don’t be shy and provide us some </span><u>information</u>.</p><br><p><span>"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.&nbsp;</span></p><br><p><span>At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be 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. EOE, including disability/vets.</span></p><br><p><span>Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!</span></p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Overview of the role</b></p><p>We are looking for a hands-on Product Owner to build, integrate and scale Al-Futtaim Automotive’s Customer Engagement Platform—a connected layer that unifies customer data, journey orchestration and engagement across web, mobile, messaging, campaigns, service and AI-enabled interactions.</p><p>This is product-and-build work, not programme or vendor management. The role requires someone who can personally design, integrate and iterate solutions across multiple enterprise systems, turning a fragmented set of tools into one coherent, AI-enabled platform.</p><p>You will own the platform end-to-end—from architecture through build, launch, adoption and continuous optimization, creating a unified, predictive and personalized engagement layer that drives measurable business outcomes.</p><p>&nbsp;</p><p><b>What you will do</b></p><p>•&nbsp;&nbsp;Personally prototype, build and iterate across the platform stack—data, orchestration, engagement and AI capabilities, treating each iteration as a hypothesis tested against live customer behavior</p><p>•&nbsp;&nbsp;<b><i>&nbsp;Design and integrate systems across:&nbsp;</i></b></p><p>1.&nbsp;&nbsp;Customer Data Platforms (CDP)</p><p>2.&nbsp;&nbsp;SAP C4C (CRM)</p><p>3.&nbsp;&nbsp;Genesys (contact center / engagement)</p><p>4.&nbsp;&nbsp;Kore.ai (conversational AI)</p><p>5.&nbsp;&nbsp;Microsoft Azure &amp; Power Platform (cloud and orchestration)</p><p>•&nbsp;&nbsp;Own how the platform fits together—data models, APIs, integrations and orchestration layers—ensuring systems operate as one unified ecosystem</p><p>•&nbsp;&nbsp;Define and build the customer and vehicle digital state model, enabling real-time personalization and lifecycle engagement</p><p>•&nbsp;&nbsp;Design and optimize end-to-end customer journeys across web, mobile, messaging (e.g. WhatsApp), campaigns, service and AI-enabled channels</p><p>•&nbsp;&nbsp;<b><i>Embed AI across the platform beyond chat, including:&nbsp;</i></b></p><p>1.&nbsp;&nbsp;Next-best-action decisioning</p><p>2.&nbsp;&nbsp;Automation workflows</p><p>3.&nbsp;&nbsp;Content generation</p><p>4.&nbsp;&nbsp;Conversational AI and internal copilots</p><p>•&nbsp;&nbsp;Continuously improving journeys using live interaction and behavioral data, driving measurable improvements in engagement, conversion and customer experience</p><p>•&nbsp;&nbsp;Drive end-to-end delivery and launch in collaboration with CX, Digital, Technology, Data, Operations and brand teams</p><p>•&nbsp;&nbsp;Define and manage key platform metrics—adoption, engagement, conversion, retention and cost-to-serve</p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><b>Required skills to be successful</b></p><p>•&nbsp;&nbsp;Proven hands-on experience building and shipping customer-facing platforms or platform-level capabilities integrating data, engagement and AI</p><p>•&nbsp;&nbsp;<b><i>Strong experience working with and integrating:&nbsp;</i></b></p><p>1.&nbsp;&nbsp;Customer Data Platforms (CDP)</p><p>2.&nbsp;&nbsp;CRM systems (SAP C4C or equivalent)</p><p>3.&nbsp;&nbsp;Engagement platforms (Genesys, Kore.ai or similar)</p><p>4.&nbsp;&nbsp;Cloud and orchestration tools (Azure, Power Platform)</p><p>•&nbsp;&nbsp;<b><i>Strong technical fluency in:&nbsp;</i></b></p><p>1.&nbsp;&nbsp;APIs and system integrations</p><p>2.&nbsp;&nbsp;Customer data modelling and identity resolution</p><p>3.&nbsp;&nbsp;Platform architecture and orchestration workflows</p><p>•&nbsp;&nbsp;Experience designing cross-channel customer journeys with personalization and trigger-based engagement</p><p>•&nbsp;&nbsp;Practical understanding of LLMs, AI/ML and agent-based architectures applied to customer platforms</p><p>•&nbsp;&nbsp;Strong product thinking—hypothesis-driven development, rapid iteration and metrics-led decision-making</p><p>•&nbsp;&nbsp;Strong analytical capability with experience improving engagement, conversion and lifecycle performance</p><p>•&nbsp;&nbsp;Excellent stakeholder management across business, technology and operations teams</p><p>•&nbsp;&nbsp;Builder mindset with strong pace of execution and ability to work in ambiguous, transformation environments</p><p>&nbsp;</p><p><b>About the team</b></p><p>You will be part of Al-Futtaim Automotive’s Digital Ecosystem / Digital Transformation &amp; AI Enablement function.</p><p>This team is responsible for building a connected, AI-enabled engagement platform that unifies customer data, orchestration and interactions, delivering seamless, intelligent and personalized experiences across all customer touchpoints.</p><p>&nbsp;</p><p><b>What equips you for the role</b></p><p>•&nbsp;&nbsp;Degree in Product Management, Computer Science, Engineering, Data/Analytics, Business or a related discipline</p><p>•&nbsp;&nbsp;<b><i>8–12+ years’ experience, with:</i></b></p><p>1.&nbsp;&nbsp;4–6+ years in product management or platform ownership, and</p><p>2.&nbsp;&nbsp;Proven experience building and integrating platforms combining data, engagement and AI</p><p>•&nbsp;&nbsp;<b><i>Demonstrable track record of:</i></b></p><p>1.&nbsp;&nbsp;Delivering platform capabilities from architecture → build → launch → optimization</p><p>2.&nbsp;&nbsp;Integrating enterprise systems such as CDP, CRM, cloud, engagement tools and orchestration layers</p><p>3.&nbsp;&nbsp;Working closely with engineering, data and platform teams to build real solutions</p><p>•&nbsp;&nbsp;<b><i>Strong preference for candidates who have:</i></b></p><p>1.&nbsp;&nbsp;Built customer engagement / martech / growth platforms in-house</p><p>2.&nbsp;&nbsp;Worked in product-led or platform environments (not just vendor-led implementations)</p><p>3.&nbsp;&nbsp;Experience in industries with complex customer journeys (e.g. e-commerce, telco, fintech, mobility)</p><p>4.&nbsp;&nbsp;Experience with conversational AI or AI-enabled customer engagement is a strong advantage</p><p>&nbsp;</p><p><i>Important note: This is a hands-on platform builder role.</i></p></div>

<ol><li><p>prepare weekly and monthly waste management reports.</p></li><li><p>Develop recycling and sustainability reports for clients.</p></li><li><p>Analyze waste collection and recycling data.</p></li><li><p>Create dashboards, charts, and performance summaries.</p></li><li><p>Monitor waste diversion and recycling rates.</p></li><li><p>Prepare ESG and environmental performance reports.</p></li><li><p>Coordinate with operations to ensure accurate reporting.</p></li><li><p>Maintain waste records and documentation.</p></li><li><p>Support clients with customized environmental reports.</p></li><li><p>Use Excel, Power BI, or similar reporting tools to visualize data.</p></li><li><p>Advanced Microsoft Excel</p></li><li><p>Power BI (preferred)</p></li><li><p>Data analysis and reporting</p></li><li><p>Strong communication and presentation skills</p></li><li><p>Experience in waste management or environmental services (preferred)</p></li><li><p>Knowledge of sustainability and recycling concepts</p></li></ol><p><strong>Desired Candidate Profile</strong></p><ol><li><p><strong>Environmental Reporting Officer</strong></p></li><li><p><strong>Waste Management Reporting Officer</strong></p></li><li><p><strong>Sustainability Reporting Coordinator</strong></p></li><li><p><strong>Waste Data & Reporting Analyst</strong></p></li><li><p><strong>Environmental Compliance & Reporting Officer</strong></p></li><li><p><strong>Waste Management Coordinator</strong></p></li><li><p><strong>Recycling & Sustainability Coordinator</strong></p></li><li><p><strong>Environmental Data Analyst</strong></p></li></ol>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Project description As part of the Development &amp; Engineering section within the Information Technology Department (ITD), this role supports project and programme delivery, agile ways of working, and the continuous improvement of delivery processes. The initiative involves the development and management of in-house applications and data platforms, supporting projects from inception to acceptance while maintaining appropriate governance standards, delivery discipline, and industry good practices. Additionally, the project focuses on leveraging AI, automation, and AI agents to enhance operational delivery practices—such as automated reporting, action tracking, RAID management, backlog insights, and workflow automation across project and agile delivery practices Responsibilities This person will be responsible for day-to-day project management and people management in the offshore delivery center. They will also be responsible for the delivery, scope, timeline, project status reporting, and other PM activities. Hands-on knowledge of software development methodologies is essential. Agile knowledge is a plus. Responsibilities will also include: Scrum ceremonies Negotiation with the customer and on-site Project Managers (delivery management, requirements management, requirements analysis etc.); Introduction and enhancements of software development methodologies within the project; Coordination and collaboration with other projects and QA engineers; Change management process facilitation; Team motivation, team building, assessment of project team members. Skills Must have A minimum of 4 years’ relevant experience in project management, scrum master, agile delivery, delivery coordination, or programme support roles Maintain a working understanding of tech delivery environments to engage effectively with engineering, data, architecture, security, and business teams. Experience with data and engineering concepts (cloud platforms, data platforms, DevOps, APIs, data pipelines, and SDLC). Utilize delivery and collaboration tools like Azure DevOps, Microsoft 365, Teams, SharePoint, and Power BI. Understand the purpose and delivery implications of technologies like Python, PySpark, SQL, Azure, AWS, and Databricks. Translate technical context into clear delivery plans, risks, dependencies, decisions, and stakeholder communications. Practical experience supporting technology, software, data, platform, or digital transformation initiatives Strong delivery discipline across scope, timeline, risk, dependency, quality, and governance management Excellent written and verbal communication skills, with the ability to translate complex delivery or technical topics into clear business language Excellent interpersonal, facilitation, negotiation, and stakeholder engagement skills Experience using delivery and collaboration tools such as Azure DevOps, Microsoft 365, Teams, SharePoint, Power BI, or similar platforms Working knowledge of technology delivery environments and concepts (cloud platforms, data platforms, DevOps, APIs, data pipelines, and SDLC) without requiring deep hands-on engineering ownership Ability to provide conflict resolution and support constructive decision-making across cross-functional teams Having strong planning, organizational, and follow-through skills with high attention to detail Nice to have Bachelor’s or master’s degree in Computer Science, Engineering, Information Technology, Business, or a related discipline Exposure to agile frameworks such as Scrum, Kanban, SAFe, or Product Owner practices Practical awareness, curiosity, or exposure to AI, generative AI, Copilot, workflow automation, or AI-assisted delivery practices Relevant professional training or certifications in project management, agile delivery, AI, or automation Understanding of responsible AI, data protection, confidentiality, security, and governance considerations when applying AI-enabled solutions Experience working alongside data engineering tools and cloud ecosystems (e.g., Python, PySpark, SQL, Azure, AWS, Databricks) Other Languages English: C1 Advanced Seniority Senior</p><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>Prepare and maintain accurate financial statements, ensuring compliance with relevant accounting standards and regulations.</p></li><li><p>Conduct detailed account reconciliations, identifying discrepancies and implementing corrective measures to maintain data integrity.</p></li><li><p>Analyze financial data to identify trends, variances, and opportunities for cost savings, providing actionable insights to management.</p></li><li><p>Manage payroll processes, ensuring timely and accurate disbursement of salaries and compliance with tax regulations.</p></li><li><p>Prepare the sales and expense report and report to the management on weekly basis.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Bachelor's degree in Accounting, Finance, or a related field; a Master's degree is a plus for advanced understanding.</p></li><li><p>Minimum 0-1 years of relevant work experience in accounting or finance, ideally within a corporate environment or specific industry.</p></li><li><p>Familiarity with accounting software (e.g., QuickBooks, SAP, Oracle) and proficiency in Microsoft Excel for data analysis.</p></li></ul><p></p></section>

<p>We are seeking a detail-oriented <strong>Data Entry Operator</strong> with experience in the <strong>Construction Industry</strong>. The ideal candidate will be responsible for maintaining accurate records, processing material transactions, and supporting store and project operations through timely and accurate data entry.</p><br><p><strong>Key Responsibilities:</strong></p><ul><li><p>Enter and maintain accurate data related to construction materials, inventory, and project records.</p></li><li><p>Process and update MRVs (Material Receipt Vouchers), MIVs (Material Issue Vouchers), GRNs, LPOs, and Delivery Notes.</p></li><li><p>Maintain inventory and stock records in ERP systems.</p></li><li><p>Verify data accuracy and resolve discrepancies in coordination with relevant departments.</p></li><li><p>Prepare reports and summaries as required by management.</p></li><li><p>Coordinate with storekeepers, procurement teams, and project/site personnel.</p></li><li><p>Ensure proper filing and maintenance of records and documentation.</p></li><li><p>Support audits and inventory reconciliation activities.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><p>Requirements</p><ul><li><p>Minimum 2–3 years of experience in Data Entry, preferably in a Store, Warehouse, Construction, or Contracting environment.</p></li><li><p>Strong knowledge of construction materials and terminology.</p></li><li><p>Experience handling MRV, MIV, GRN, Delivery Notes, and LPO documentation.</p></li><li><p>Proficiency in Microsoft Excel and ERP systems.</p></li><li><p>Strong attention to detail and data accuracy.</p></li><li><p>Good organizational and record-keeping skills.</p></li><li><p>Ability to work under pressure and meet deadlines.</p></li><li><p>Effective communication and coordination skills.<br></p></li></ul><p>Benefits</p><ul><li><p>Company Visa</p></li><li><p>Medical Insurance</p></li><li><p>Annual Leave as per UAE Labour Law</p></li><li><p>Accommodation</p></li><li><p>Transportation</p></li><li><p>Career Growth Opportunities</p></li></ul><br><br>

<p>Key Responsibilities</p><ul><li><p>Consolidate operational and financial data from all Business Units into enterprise performance dashboards and executive scorecards.</p></li><li><p>Design, develop, and maintain WBR, MBR, KPI dashboards, and management reports.</p></li><li><p>Gather business requirements from stakeholders and translate them into analytical and reporting solutions.</p></li><li><p>Build automated data models, ETL processes, and reporting pipelines to eliminate manual reporting.</p></li><li><p>Analyze trends, variances, profitability, productivity, inventory, sales, procurement, customer, and operational performance, providing actionable insights and recommendations.</p></li><li><p>Develop and maintain KPI definitions, business metrics, and data governance standards to ensure consistency across the Group.</p></li><li><p>Partner with Finance to support budgeting, forecasting, management reporting, and financial performance analysis.</p></li><li><p>Collaborate with IT on system integrations, data architecture, and cloud-based analytics solutions.</p></li><li><p>Support digital transformation initiatives, process automation, and continuous improvement projects.</p></li><li><p>Present findings and recommendations to senior management with clear business impact.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><p>Technical Skills Oracle NetSuite ERP Salesforce CRM AWS Cloud Microsoft Power BI SQL Python Advanced Microsoft Excel (Power Query, Pivot Tables) Data Modelling & ETL Dashboard Development KPI & Scorecard Design Financial & MIS Reporting</p><p> Core Competencies Business Analysis & Requirement Gathering Executive Reporting Financial & Operational Performance Analysis Data Visualization & Storytelling Process Improvement Project Coordination Stakeholder Management Analytical Thinking Problem Solving Strong Communication & Presentation Skills High Attention to Detail </p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br>About the opportunity<br><p><strong>About the Applied AI Tribe</strong></p><br><br><p>The Applied AI Tribe is talabat's internal AI engine, a team obsessed with turning cutting-edge AI into genuine, measurable business value. We don't build AI for its own sake. Our north star is Net AI Value Delivered.</p><br><br><br><p><strong>We have shipped 40+ AI products across four strategic streams:</strong></p><br><br><p> - Product &amp; Tech Platform - AI capabilities embedded into talabat's core product and engineering platform.</p><br><br><p> - Business Automations - streamlined workflows that save real time and money across operations.</p><br><br><p> - Self-Serve AI Tools - empowering talabatis to build and use AI without needing to raise a ticket.</p><br><br><p> - Training &amp; Onboarding - upskilling the tribe so every team can participate in the AI era.</p><br><br><p>Our engineering approach is built around shipping agentic AI systems at scale, with a harness-first philosophy, evaluation embedded into every product iteration, and production feedback loops that drive the roadmap.</p><br><br><p><strong>The Role</strong></p><br><br><p>As Manager, Data Scientist - AI within the Applied AI Tribe, you will lead a team of data scientists building and shipping the ML and generative AI systems that power decisions across talabat's product and business. You are equally a people leader and a technical practitioner, close enough to the work to make great technical decisions and grow your team, while owning the roadmap and delivery.</p><br><br><p>Your team's work spans the full AI lifecycle: from framing ambiguous business problems through data modelling, feature engineering, model training, deployment, and production monitoring. A significant focus will be leveraging LLMs, agentic systems, and generative AI to automate decisions, enrich data, and build intelligent experiences at scale, all measured against Net AI Value Delivered.<br> </p><br><br><p><strong>What's On Your Plate?</strong></p><br><br><p>People Leadership:</p><br><br><p> - Lead, grow, and retain a team of data scientists, setting a high bar for technical quality, fostering a culture of ownership, and supporting each person's career development.</p><br><br><p> - Partner with recruiting to attract top data science and ML talent as the tribe scales.</p><br><br><p> - Mentor team members in ML best practices, agentic system design, production engineering, and stakeholder communication.</p><br><br><p> - Run effective team rituals, planning, design reviews, retrospectives, that keep the team aligned and moving with pace.</p><br><br><p>Technical Strategy &amp; Delivery:</p><br><br><p> - Translate ambiguous business problems into well-scoped ML and AI solutions with clear, measurable success criteria tied to the tribe's north star.</p><br><br><p> - Own the team's technical roadmap: prioritise high-impact work across data enrichment, business automation, self-serve tooling, and agentic product features.</p><br><br><p> - Champion harness-first thinking, ensure evaluation pipelines, LLM observability, tooling, and infrastructure are in place before agent logic is built on top.</p><br><br><p> - Embed evaluation into every product iteration: golden datasets, stakeholder-aligned metrics, and weekly eval jobs that guide what gets built, fixed, or retired.</p><br><br><p> - Oversee the full ML lifecycle: data pipelines, feature engineering, model training, production deployment, serving, and monitoring.</p><br><br><p> - Drive adoption of LLMs and generative AI for data enrichment, smart content understanding, and automated decision-making at scale.</p><br><br><p> - Design and analyse experiments (A/B and multivariate) to rigorously measure model and product impact.</p><br><br><p> - Elevate ML and engineering standards across the team, improving MLOps, code quality, tooling, and internal learning programmes.<br> <br> Cross-functional Partnership:</p><br><br><p> - Partner with product managers and business teams to identify high-value AI opportunities and shape them into the team's roadmap.</p><br><br><p> - Communicate clearly with senior stakeholders, from problem framing through to results and recommendations.</p><br><br><p> - Collaborate with engineering teams to understand data systems, build reliable data models, and ensure smooth production integration.</p><br><br>What you need to be successful<br><p><strong>What Did We Order?</strong></p><br><br><p><strong>Technical Experience</strong></p><br><br><p> - Deep expertise in machine learning, generative AI, deep learning, NLP, recommendation systems, and data mining.</p><br><br><p> - Hands-on knowledge of ML and GenAI frameworks: Scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow, Transformers, and LLM fine-tuning.</p><br><br><p> - Proficiency with the OpenAI SDK and familiarity with major LLM provider APIs for building and orchestrating production AI systems.</p><br><br><p> - Hands-on experience with LangGraph for building stateful, multi-step agentic workflows and complex agent orchestration patterns.</p><br><br><p> - Experience with Hugging Face (Transformers, Hub, Inference API) for model sourcing, fine-tuning, and deployment.</p><br><br><p> - Solid understanding of embeddings, dense and sparse retrieval, vector databases, and semantic search, for building RAG pipelines and similarity-based applications.</p><br><br><p> - Strong software engineering fundamentals: clean production code, data structures and algorithms, ML system design.</p><br><br><p> - Proven experience shipping and monitoring ML models in production, with a solid grasp of MLOps practices.</p><br><br><p> - Strong data and ML engineering skills: building and orchestrating data pipelines (e.g., Airflow) and robust feature engineering.</p><br><br><p> - Excellent SQL and Python; solid statistical foundations including experiment design, causal inference, and predictive methods.</p><br><br><p> - Familiarity with agentic system design (harness-first thinking, LLM observability, evaluation pipelines, and production feedback loops) is a strong plus.</p><br><br><p> - Experience with BigQuery and Google Cloud Platform is a plus.<br> </p><br><br><p><strong>Qualifications&nbsp;</strong></p><br><br><p> - Bachelor's degree in Engineering, Computer Science, or a related field. A postgraduate degree is a plus.</p><br><br><p> - 6+ years of experience in data science, ML engineering, and/or generative AI, including shipping models to production.</p><br><br><p> - 2+ years managing or leading a data science or ML team, with a track record of developing talent and delivering through others.</p><br><br><p> - Experience building ML systems in an online consumer product environment is a strong plus.</p><br><br>Who we are<br><p>Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat’s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.</p><br><br><p>We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.</p><br><br><p>Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.</p><br><br>What's in it for you<br><p>Mindset &amp; Ways of Working</p><br><br><p> - Curiosity over certainty: you're excited to try the new model or framework this week.</p><br><br><p> - Ownership: you treat cost, latency, and business impact as your problem, and your team's.</p><br><br><p> - Bias to build: a prototype in a real workflow beats a perfect design doc every time.</p><br><br><p> - Comfortable with ambiguity: most of what we build has no playbook yet, and you help write it.</p><br><br><p> - Keep it simple: pick the approach that delivers the most value with the least complexity, and #makeithappen.<br> </p><br><br><p><strong>At talabat, your success is defined by both results and behaviors. We hire for excellence in craft and for the Leadership Principles that shape how we think, decide, and collaborate. What you achieve matters, and how you achieve it defines us. Together, they move the business forward and deliver great experiences. Learn more about our Leadership Principles here.</strong></p><br><br> <br><br> </div>

Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat’s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.<br><br>We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.<br><br>Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.<br><br><strong><strong>Job Description<br><br></strong></strong><strong>About the Applied AI Tribe<br><br></strong>The Applied AI Tribe is talabat's internal AI engine, a team obsessed with turning cutting-edge AI into genuine, measurable business value. We don't build AI for its own sake. Our north star is Net AI Value Delivered.<br><br><strong>We have shipped 40+ AI products across four strategic streams:<br><br></strong><ul><li> Product &amp; Tech Platform - AI capabilities embedded into talabat's core product and engineering platform.</li><li> Business Automations - streamlined workflows that save real time and money across operations.</li><li> Self-Serve AI Tools - empowering talabatis to build and use AI without needing to raise a ticket.</li><li> Training &amp; Onboarding - upskilling the tribe so every team can participate in the AI era.<br><br></li></ul>Our engineering approach is built around shipping agentic AI systems at scale, with a harness-first philosophy, evaluation embedded into every product iteration, and production feedback loops that drive the roadmap.<br><br><strong>The Role<br><br></strong>As Manager, Data Scientist - AI within the Applied AI Tribe, you will lead a team of data scientists building and shipping the ML and generative AI systems that power decisions across talabat's product and business. You are equally a people leader and a technical practitioner, close enough to the work to make great technical decisions and grow your team, while owning the roadmap and delivery.<br><br>Your team's work spans the full AI lifecycle: from framing ambiguous business problems through data modelling, feature engineering, model training, deployment, and production monitoring. A significant focus will be leveraging LLMs, agentic systems, and generative AI to automate decisions, enrich data, and build intelligent experiences at scale, all measured against Net AI Value Delivered.<br><br><strong>What's On Your Plate?<br><br></strong><strong>People Leadership:<br><br></strong><ul><li> Lead, grow, and retain a team of data scientists, setting a high bar for technical quality, fostering a culture of ownership, and supporting each person's career development.</li><li> Partner with recruiting to attract top data science and ML talent as the tribe scales.</li><li> Mentor team members in ML best practices, agentic system design, production engineering, and stakeholder communication.</li><li> Run effective team rituals, planning, design reviews, retrospectives, that keep the team aligned and moving with pace.<br><br></li></ul><strong>Technical Strategy &amp; Delivery:<br><br></strong><ul><li> Translate ambiguous business problems into well-scoped ML and AI solutions with clear, measurable success criteria tied to the tribe's north star.</li><li> Own the team's technical roadmap: prioritise high-impact work across data enrichment, business automation, self-serve tooling, and agentic product features.</li><li> Champion harness-first thinking, ensure evaluation pipelines, LLM observability, tooling, and infrastructure are in place before agent logic is built on top.</li><li> Embed evaluation into every product iteration: golden datasets, stakeholder-aligned metrics, and weekly eval jobs that guide what gets built, fixed, or retired.</li><li> Oversee the full ML lifecycle: data pipelines, feature engineering, model training, production deployment, serving, and monitoring.</li><li> Drive adoption of LLMs and generative AI for data enrichment, smart content understanding, and automated decision-making at scale.</li><li> Design and analyse experiments (A/B and multivariate) to rigorously measure model and product impact.</li><li> Elevate ML and engineering standards across the team, improving MLOps, code quality, tooling, and internal learning programmes.<br><br></li></ul><strong>Cross-functional Partnership:<br><br></strong><ul><li> Partner with product managers and business teams to identify high-value AI opportunities and shape them into the team's roadmap.</li><li> Communicate clearly with senior stakeholders, from problem framing through to results and recommendations.</li><li> Collaborate with engineering teams to understand data systems, build reliable data models, and ensure smooth production integration.<br><br></li></ul><strong><strong>Qualifications<br><br></strong></strong><strong>What Did We Order?<br><br></strong><strong><strong>Technical Experience<br><br></strong></strong><ul><li> Deep expertise in machine learning, generative AI, deep learning, NLP, recommendation systems, and data mining.</li><li> Hands-on knowledge of ML and GenAI frameworks: Scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow, Transformers, and LLM fine-tuning.</li><li> Proficiency with the OpenAI SDK and familiarity with major LLM provider APIs for building and orchestrating production AI systems.</li><li> Hands-on experience with LangGraph for building stateful, multi-step agentic workflows and complex agent orchestration patterns.</li><li> Experience with Hugging Face (Transformers, Hub, Inference API) for model sourcing, fine-tuning, and deployment.</li><li> Solid understanding of embeddings, dense and sparse retrieval, vector databases, and semantic search, for building RAG pipelines and similarity-based applications.</li><li> Strong software engineering fundamentals: clean production code, data structures and algorithms, ML system design.</li><li> Proven experience shipping and monitoring ML models in production, with a solid grasp of MLOps practices.</li><li> Strong data and ML engineering skills: building and orchestrating data pipelines (e.g., Airflow) and robust feature engineering.</li><li> Excellent SQL and Python; solid statistical foundations including experiment design, causal inference, and predictive methods.</li><li> Familiarity with agentic system design (harness-first thinking, LLM observability, evaluation pipelines, and production feedback loops) is a strong plus.</li><li> Experience with BigQuery and Google Cloud Platform is a plus.<br><br></li></ul><strong><strong>Qualifications <br><br></strong></strong><ul><li> Bachelor's degree in Engineering, Computer Science, or a related field. A postgraduate degree is a plus.</li><li> 6+ years of experience in data science, ML engineering, and/or generative AI, including shipping models to production.</li><li> 2+ years managing or leading a data science or ML team, with a track record of developing talent and delivering through others.</li><li> Experience building ML systems in an online consumer product environment is a strong plus.<br><br></li></ul><strong><strong>Additional Information<br><br></strong></strong>Mindset &amp; Ways of Working<br><br><ul><li> Curiosity over certainty: you're excited to try the new model or framework this week.</li><li> Ownership: you treat cost, latency, and business impact as your problem, and your team's.</li><li> Bias to build: a prototype in a real workflow beats a perfect design doc every time.</li><li> Comfortable with ambiguity: most of what we build has no playbook yet, and you help write it.</li><li> Keep it simple: pick the approach that delivers the most value with the least complexity, and #makeithappen.<br><br></li></ul><strong>At talabat, your success is defined by both results and behaviors. We hire for excellence in craft and for the Leadership Principles that shape how we think, decide, and collaborate. What you achieve matters, and how you achieve it defines us. Together, they move the business forward and deliver great experiences. Learn more about our Leadership Principles here.</strong>

<p>Bayut &amp; dubizzle have the unique distinction of being iconic, homegrown brands with a strong presence across the seven emirates in the UAE. Connecting millions of users across the country, we are committed to delivering the best online search experience.</p><p>As part of Dubizzle Group, we are alongside some of the strongest classified brands in the market. With a collective strength of 5 brands, we have more than 123 million monthly users that trust in our dedication to providing them with the best platform for their needs.</p><p>As an Associate Commercial Analyst, you will help guide the sales team in improving processes, services, products, and software through analysis. You will share a continuous focus on growth with the business leaders and will be co-responsible for building out the dubizzle/Bayut brand.</p><p><strong>In this role, you will:</strong></p><ul><li>Support the target-setting process for the Property Inside Sales and Jobs verticals and track performance against targets</li><li>Build, maintain, and automate dashboards and reports to monitor business performance, sales productivity, operational KPIs, and commercial metrics</li><li>Perform deep-dive analysis on high-volume, multi-source datasets to identify business opportunities, operational inefficiencies, and revenue growth initiatives</li><li>Monitor competitor performance, pricing strategies, and business models, providing actionable recommendations to strengthen market positioning</li><li>Collaborate with Product, Engineering, Finance, Marketing, Operations, and Sales teams to provide analytical insights that support data-driven business strategies and informed decision-making</li><li>Develop and maintain self-service reporting tools and data solutions that enable business users to access insights with minimal analyst support</li><li>Design executive-level dashboards, presentations, and business documentation, translating complex data into actionable insights for senior leadership and client proposals</li><li>Support budgeting, forecasting, P&amp;L analysis, business planning, and ad hoc commercial analyses in collaboration with the Strategy and Finance teams</li><li>Assist in managing and monitoring the commercial performance and P&amp;L of the Property and Jobs verticals through regular performance reviews and financial analysis</li><li>Work closely with the Central Data Team and the Property Inside Sales &amp; Jobs business to facilitate timely delivery of analytical support, reports, dashboards, and data requirements</li><li>Spend significant time on the sales floor working closely with the Sales team to understand business challenges, prepare sales enablement kits, and identify opportunities for process improvements</li><li>Attend approximately 2-3 client meetings per month to assist Sales Account Managers with analytical insights, business presentations, proposal preparation, and data-driven recommendations</li><li>Ensure the accuracy, consistency, and integrity of business data by validating reports and resolving data quality issues</li><li>Drive automation initiatives that improve reporting efficiency, streamline business processes, and maximise revenue opportunities</li><li>Deliver analytical projects within agreed timelines while effectively managing multiple priorities and collaborating with other analysts when required</li><li>Work independently on complex business problems, proactively identifying opportunities for operational improvement and recommending practical, data-backed solutions</li><li>Directly support the Director of Property Inside Sales &amp; Jobs on strategic initiatives, business reviews, commercial analyses, and management consulting-style problem solving</li><li>Proactively identify and recommend opportunities to improve revenue, client success, operational efficiency, and overall business performance through data-driven analysis and actionable insights<br><br></li></ul><strong>Requirements<br><br></strong><ul><li>Bachelor's degree in Engineering, Economics, Computer Science, or Statistics</li><li>2-3 years of work experience in a strategy/business analytics/sales enabler role, having closely worked with a product in an internet/e-commerce company</li><li>Experience in e-commerce, internet and/or digital media</li><li>Proficient in SQL</li><li>Proficient in Microsoft Excel / Business Intelligence Dashboard Tools</li><li>Strong problem-solving skills</li><li>Commercial and Financial concepts</li><li>Ability to crunch heavy data, build insights and drive operational decision-making</li><li>Excellent analytical skills with a demonstrated ability to translate data and information into actionable insights and business recommendations</li><li>Great stakeholder management and communication skills.</li><li>Thrive in a fast-paced, innovative environment</li><li>Living the team values: Simpler. Better. Faster<br><br></li></ul><strong>Benefits<br><br></strong><ul> <li>A fast paced, high performing team</li> <li>Multicultural environment with over 60 different nationalities</li> <li>Competitive Tax-free Salary</li> <li>Comprehensive Health Insurance</li> <li>Annual Air Ticket Allowance</li> <li>Employee discounts at multiple vendors across the emirates</li> <li>Rewards &amp; Recognitions</li> <li>Learning &amp; Development</li> </ul><p>Bayut &amp; dubizzle is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.</p><p>#UAEdubizzle</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Project description The IT Engineer Application will be responsible for the operational management, support, and continuous improvement of the GoldenSource SaaS-based Enterprise Data Management (EDM) platform. This role ensures the stability, integrity, and efficiency of the application, supporting business-critical data flows for Global Markets. The candidate will coordinate with internal teams and the vendor, manage incidents and changes, and ensure compliance with FAB’s IT governance and security standards. Responsibilities Monitor and maintain the health and performance of the GoldenSource SaaS application Oversee daily operational activities, including data ingestion, validation, and distribution to downstream systems. Manage and resolve incidents, perform root cause analysis, and coordinate with GoldenSource support for escalations. Coordinate and validate change requests (CRs) and releases, ensuring proper documentation and communication. Implement and monitor automated data quality checks and reconciliation processes. Maintain compliance with internal ITSM, ORAP, and business continuity protocols. Serve as the primary liaison between FAB and GoldenSource for operational matters. Collaborate with business and technology stakeholders (e.g., GMO, MRM, Finance) to align operational workflows with business needs. Maintain operational runbooks, SOPs, and incident logs. Provide regular performance and issue resolution reports to management. Respect timelines and ensure high availability of the platform. Good communication and stakeholder management skills. Skills Must have 5+ years of experience in IT operations or application support, preferably in financial services or data management platforms. Hands-on experience with SaaS applications, ideally GoldenSource or similar EDM systems. Familiarity with AWS cloud infrastructure and open-source technology stacks. Strong understanding of market and reference data workflows. Experience in vendor coordination and SLA management. Knowledge of ITSM processes (e.g., incident, change, and problem management). Excellent documentation and reporting skills. Experience with automation tools and scripting (e.g., Python, Bash). Exposure to financial services or Global Markets. Bachelor’s degree in Computer Science, Information Systems, or related field. Nice to have Certifications in ITIL, AWS, or SaaS operations are a plus. Other Languages English: C2 Proficient Seniority Senior</p><br> </div>

<p>The Inventory Planner is responsible for balancing product availability with working capital efficiency. Utilizing advanced data analytics, system-driven forecasting, and inventory optimization frameworks, this role leads the end-to-end demand and supply alignment. The primary objective is to maintain optimal stock health—minimizing lost sales opportunities (stock outs) and eliminating overstocking/aging inventory while driving cost efficiency across all SKU categories.</p><br><p>➢ Data Analysis for Demand & Supply Alignment. ➢ Tech-Driven Forecast Analysis. ➢ Inventory Control & Reorder Governance (ROP, MOQ, Lead Time). ➢ Inventory Costing & Financial Controls. ➢ Loss Opportunity vs. Overstocking Controls. ➢ Maintain Live Data Advanced Dashboard.</p><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Education: Bachelor's degree or PGD in Business Administration, Supply Chain Management, Logistics, Business Analytics, or a related quantitative field.</p></li></ul><p>▪ Experience: 2 to 5 years of hands-on experience in inventory planning, stock analysis, or supply planning in Reputed Organization.</p><br><p>✅ Certifications (Preferred):</p><ul><li><p>APICS, ASCM - Certified in Planning and Inventory Management or CSCP - Certified Supply Chain Professional.</p></li><li><p>Lean / Six Sigma Green Belt certification an advantage.</p></li></ul>

We are looking for a<strong> Lead Data Scientist </strong>to join our team in the UAE in a hybrid working mode. In this role, you will drive data science and AI initiatives that deliver measurable business value, design and scale advanced analytics solutions and turn business challenges into actionable insights. You will collaborate with cross-functional teams and leverage modern AI technologies to support data-driven decision-making across the organization.<br><br><strong>Responsibilities<br><br></strong><ul><li>Lead data science initiatives that deliver measurable business outcomes </li><li>Architect and scale AI and analytics solutions across business functions </li><li>Translate business requirements into data science models and actionable insights </li><li>Define AI architecture and best practices for scalable solutions </li><li>Collaborate with stakeholders to deliver end-to-end analytical solutions </li><li>Ensure data quality, governance and integrity throughout project lifecycles </li><li>Prioritize initiatives based on business needs and strategic objectives </li><li>Adapt approaches and priorities in response to evolving requirements </li><li>Support adoption of modern AI capabilities across the organization <br><br></li></ul><strong>Requirements<br><br></strong><ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering or related field (PhD is a plus) </li><li>Strong expertise in Microsoft Azure </li><li>Solid knowledge of Data Management principles and best practices </li><li>Experience working with Azure DevOps </li><li>Experience designing and implementing AI Architecture solutions </li><li>Strong analytical and problem-solving skills </li><li>Proven track record of delivering measurable business outcomes </li><li>Ability to succeed in a fast-paced and changing environment </li><li>Strong communication and stakeholder management skills <br><br></li></ul><strong>Nice to have<br><br></strong><ul><li>Azure or AI-related certifications<br><br></li></ul><strong>We offer<br><br></strong><ul><li>End of service gratuity</li><li>Private healthcare and life insurance</li><li>Employee assistance program</li><li>Wellness program</li><li>Annual air travel allowance for expatriates</li><li>Regular performance feedback and salary reviews</li><li>Global travel medical and accident insurance</li><li>Referral bonuses</li><li>Learning and development opportunities including in-house training and coaching, professional certifications, and courses</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Procurement– Data Center</b></p><br><p><b>Location:</b>&nbsp;Dubai</p><br><p><b>Who We Are</b></p><br><p>DAMAC Digital is building the backbone of the AI-driven economy. Our global facilities deliver hyperscale-ready infrastructure for AI workloads, enterprise expansion, and mission-critical applications. With DAMAC Group’s backing, we provide the scalability, resilience, and efficiency that hyperscalers and enterprises need to lead in a data-powered world.</p><br><p>Today, DAMAC Digital has a planned portfolio spanning 13 countries and more than 35 sites, with 6 GW of planned IT capacity. Our team brings deep expertise across engineering, operations, technology, compliance, and customer engagement, combining vision with execution to deliver scalable, secure, and future-ready digital infrastructure.</p><br><p><b>Key Responsibilities</b></p><br><ul> <li><span>Responsible for <b>Cooling Packages</b> supports the commercial management of data center cooling infrastructure packages, ensuring effective cost control, contract administration, procurement coordination, and financial performance throughout the project lifecycle. The role focuses on commercial aspects of cooling systems such as chillers, CRAH/CRAC units, cooling towers, pumps, piping, and associated HVAC infrastructure used in mission-critical data center facilities.</span></li> <li><span>Responsible for Sourcing of Capex and Opex for Data Center Projects .</span></li> <li><span>Work closely with the team to ensure that the Data Center Project purchases are closed on time and in the best interest of the business</span></li> <li><span>Build, Sustain and leverage relationship with stakeholders across functions and externally with vendors/suppliers to drive alignment and maximize the value.</span></li> <li><span>Tracking Costs and ensuring efficiencies year on year.</span></li></ul><p><b>Job Requirements</b></p><br><ul> <li><span>Bachelor’s degree in Mechanical / Electrical Engineering or related field.</span></li> <li><span>7–10 years of experience in commercial management, contracts, or quantity surveying.&nbsp;</span></li> <li><span>Experience in data center, HVAC, or large MEP infrastructure projects.&nbsp;</span></li> <li><span>Experience handling cooling packages such as chillers, cooling towers, CRAH/CRAC units, pumps, and piping systems</span></li></ul><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Strong hands-on experience in <b>Salesforce configuration, Flow automation, security and access management, reports, dashboards, data management, and user support</b>.<br>Experience configuring Salesforce objects, fields, page layouts, record types, validation rules, workflows, and approval processes.<br>Strong knowledge of <b>Salesforce Flow</b> for process automation.<br>Experience managing users, roles, profiles, permission sets, and sharing/security settings.<br>Hands-on experience creating and maintaining <b>reports and dashboards</b>.<br>Experience with Salesforce data import, export, cleansing, and data quality management.<br>Strong troubleshooting and end-user support capabilities.<br>Good understanding of Salesforce best practices and platform administration.<br><b>Salesforce Administrator Certification</b> is preferred.<br>Real Estate/Property Management domain experience will be an added advantage.<br><br></span><br><span>Requirements</span><ul><li><span>3–5 years of hands-on experience as a Salesforce Administrator. <br></span></li><li><span>Strong experience in Salesforce configuration and administration.<br></span></li><li><span>Hands-on knowledge of Salesforce Lightning Experience.<br></span></li><li><span>Experience with custom objects, fields, page layouts, record types, validation rules, profiles, roles, permission sets, and sharing rules.<br></span></li><li><span>Strong experience with Salesforce Flow and process automation.<br></span></li><li><span>Experience in creating and managing reports and dashboards.<br></span></li><li><span>Knowledge of Salesforce data management tools, including Data Import Wizard and Data Loader.<br></span></li><li><span>Understanding of Salesforce security, access management, and data governance.<br></span></li><li><span>Ability to troubleshoot Salesforce issues and provide effective user support.<br></span></li><li><span>Good understanding of business processes and the ability to translate requirements into Salesforce solutions.<br></span></li><li><span>Strong communication and stakeholder management skills.<br></span></li><li><span>Salesforce Administrator Certification is preferred</span><br></li></ul><span><b><u>Preferred:</u></b></span><br><br><ul><li><span>Experience in the Real Estate industry is an advantage but not mandatory. <br></span></li><li><span>Experience with Salesforce integrations and third-party applications.<br></span></li><li><span>Basic understanding of Apex, SOQL, APIs, or Salesforce development concepts.<br></span></li><li><span>Experience working in an Agile or project-based environment.<br></span></li><li><span>Knowledge of Sales Cloud and related Salesforce capabilities.<br></span></li><li><span>Exposure to CRM processes such as lead management, opportunity management, customer management, and reporting.<br></span></li></ul><br> </div>

]:pointer-events-auto R6Vx5W_thread Scroll Vars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" dir="auto" data-turn-id="request-6a7c5b58-2690-83ee-8c08-59288d7816a8-11" data-turn-id-container="request-6a7c5b58-2690-83ee-8c08-59288d7816a8-11" data-testid="conversation-turn-48" data-turn="assistant"><br><br>Medical Auditor<br><br>Job Type: Contractor<br><br>Location: Remote<br><br>Job Overview<br><br>We are seeking experienced Medical Auditors with strong expertise in outpatient professional fee coding and coding audits, preferably within academic medical centers. You will review coding records, identify compliance risks, and provide expert feedback to support AI-focused projects.<br><br>No Prior AI Experience Is Required.<br><br>Key Responsibilities<br><br>Conduct detailed audits of outpatient professional fee coding records. Review coding accuracy, documentation, and compliance. Identify coding trends, gaps, risks, and improvement opportunities. Apply academic medical center standards and coding guidelines. Document audit findings and provide clear recommendations. Evaluate complex coding and documentation scenarios. Contribute to AI training through expert coding and audit feedback. Support audit program management and quality improvement initiatives.<br><br>Required Qualifications<br><br>10+ years of medical coding experience, with a focus on outpatient professional fee coding and auditing. Direct experience conducting or managing audits in academic medical centers. Strong knowledge of medical coding guidelines, compliance requirements, and audit methodologies. Proven ability to identify coding errors and provide actionable recommendations. Excellent written and verbal communication skills. Strong analytical skills and attention to detail. Experience with audit program management preferred.<br><br>_:empty]:hidden">

Company description Trojan Construction Holding is the #1 construction group in the UAE and the first in the Middle East to achieve an "A" rating in the MSCI ESG assessment. As a subsidiary of Alpha Dhabi Holding PJSC, the organization brings together several industry-leading companies focused on building sustainable communities and supporting local businesses. With operations spanning the Middle East, Africa, and Europe, Trojan has delivered numerous landmark projects that contribute to the UAE's cosmopolitan skyline and reinforce its reputation for reliability and first-class service. The company leverages the strengths of its specialist subsidiaries to provide cohesive, turnkey construction solutions delivered on time and within budget. A diverse workforce of over 36,000 multinational team members and extensive plant machinery resources highlight Trojan's position as a premier construction group in the region.<br>Job opportunity: AI and Project Controls Analyst (Abu Dhabi)<br>Trojan Property Investment (TPI), the group's development and project management arm, is hiring an AI and Project Controls Analyst to join its Abu Dhabi team.<br>About the role TPI is building an in-house AI capability for construction delivery: AI-assisted planning and baseline scheduling, an AI-native project management platform, and document and engineering data intelligence. The analyst will sit at the core of this program, applying machine learning and large language models to real project data and helping move AI tools from concept to production use on live projects.<br>Key responsibilities- Support the design, development, testing, and validation of AI tools for construction planning and scheduling, grounded in Primavera P6, CPM, and EVM- Build Python automation and data pipelines that prepare schedule, cost, and progress data for AI and analytics workloads- Apply LLM and ML techniques to document control and engineering data intelligence across project workflows- Benchmark AI outputs against real project baselines and planning standards- Develop dashboards and analytics that turn project data into decision-ready information for management<br>Candidate requirements This role requires a combined profile: applied AI capability together with a genuine understanding of construction. Candidates strong in only one of the two will not be a fit.- Degree in AI, computer science, data science, or civil or construction engineering- 1 to 5 years of relevant experience; strong fresh graduates are also welcome to apply- Hands-on AI skills: Python, data engineering, ML fundamentals, or applied LLM work- Construction understanding: planning, scheduling, quantities, or site workflows, gained through study, internships, or work experience- Exposure to modern AI tooling such as LLM APIs, retrieval pipelines, or agent frameworks is an advantage- Graduates of UAE universities are preferred: MBZUAI, Khalifa University, UAEU, AUS, Abu Dhabi University, or similar- Proficiency in Arabic and English is an advantage<br>In line with the UAE's Emiratisation objectives, priority will be given to Emirati candidates. Applications from all nationalities are welcome and will be assessed on merit.<br>Location: Abu Dhabi, full time, on site<br>Interested candidates are invited to apply with a CV and links to practical work they have built: Git Hub repositories, dashboards, models, or graduation projects.<br>#Hiring #Abu Dhabi #Emiratisation #Artificial Intelligence #Construction Technology #Project Controls #UAE

Job Purpose<br>- Design, build, test, and deploy AI-enabled digital products that transform the client lifecycle across corporate banking channels.<br>- Drive the bank’s AI and digital transformation strategy, including adoption of agentic AI, Gen AI, advanced analytics, intelligent automation, and workflow orchestration.<br>- Identify high-impact use cases where AI agents can reason, plan, execute multi-step tasks, and improve front-office, onboarding, credit, servicing, and operations workflows within defined governance boundaries.<br>- Embed responsible AI practices, human-in-the-loop controls, auditability, data privacy, model risk management, and regulatory compliance into all AI-led initiatives.<br>- Coach, train, and support business users to adopt AI-enabled ways of working and ensure measurable business value from digital transformation initiatives.<br>- Develop product launch, stakeholder engagement, communication, and change management plans to support the AI and digital agenda.<br><br>Key Result Areas<br>- Define and execute the AI transformation roadmap for corporate banking, with clear prioritization of use cases, value pools, business outcomes, and delivery milestones.<br>- Partner with relationship managers, operations, risk, compliance, technology, data, and analytics teams to redesign end-to-end workflows before automating them with AI agents.<br>- Improve frontline productivity through AI-assisted prospecting, lead generation, client insights, next-best-action recommendations, and personalized relationship management support.<br>- Lead implementation of agentic AI solutions that can orchestrate tasks across systems, retrieve enterprise knowledge, summarize information, trigger actions, and escalate exceptions to human users.<br>- Enhance onboarding, KYC, credit proposal, portfolio monitoring, service request, and operational processes through Gen AI, intelligent document processing, analytics, and automation.<br>- Ensure AI initiatives are governed through clear controls covering access rights, consent, explainability, model performance, data quality, audit trails, and exception handling.<br>- Track adoption, productivity, cost-to-serve, cycle-time reduction, customer experience, and revenue-impact metrics to demonstrate measurable transformation value.<br><br>Knowledge, Skills and Experience<br>- 1–8 years of experience in digital transformation, AI product delivery, banking technology, advanced analytics, process automation, or related fields.<br>- Strong understanding of corporate banking, relationship management, onboarding, KYC, credit, operations, servicing, and front-office productivity challenges.<br>- Practical knowledge of Gen AI, agentic AI, AI agents, retrieval-augmented generation, workflow orchestration, prompt engineering, machine learning, automation, APIs, and data platforms.<br>- Ability to translate business problems into AI use cases, product requirements, user journeys, acceptance criteria, success metrics, and implementation roadmaps.<br>- Experience working with technology, data science, risk, compliance, legal, information security, operations, and business teams to deliver governed AI solutions.<br>- Strong understanding of responsible AI, model governance, explainability, data privacy, access controls, regulatory expectations, and human-in-the-loop operating models.<br>- Demonstrated ability to manage change, influence stakeholders, train users, and drive adoption across frontline and operations teams.<br>- Strong communication, problem-solving, analytical thinking, product ownership, agile delivery, and stakeholder management skills.<br>- Experience with data visualization and reporting tools such as Power BI, Tableau, or similar platforms is preferred.<br>- Bachelor’s or Master’s degree in Business Administration, Economics, Finance, Statistics, Mathematics, Computer Science, Engineering, Data Science, or a related field.