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warehouse engineer

Kayana | Ordering & Payment Solutions

<div>
 
 
 About Kayana
 
 
 
 
 
 
 Kayana is one of the fastest-growing companies, empowering small and medium-sized businesses with cutting-edge technology to compete with larger enterprises in the ordering and payments space. As a disruptive force in the industry, we provide everything from essential point-of-sale systems to advanced solutions like self-service kiosks, enabling brands to scale and succeed.
 
 
 
 
 
 Our mission is simple:
 
 to help businesses thrive through innovative technology
 
 . With operations across the USA, UK, Europe, Australia, and the Middle East, Kayana is proud to foster an inclusive and dynamic culture. Every employee is supported with a personalized development plan, offering clear and achievable career paths for long-term growth.
 
 
 
 
 
 
 
 
 
 Important Work Arrangement Note
 
 
 
 
 
 
 This role requires
 
 full-time, on-site work from Monday to Saturday (6 days a week)
 
 . Candidates should be comfortable with a
 
 fully office-based setup
 
 , as
 
 remote or hybrid work is not available
 
 for this position.
 
 
 
 
 
 
 
 
 
 About You
 
 
 
 
 
 
 We are seeking a
 
 Warehouse Engineer
 
 to join our warehouse operations team. The primary responsibility of this role is to
 
 prepare, configure, and quality-check kiosks and related devices
 
 before they are shipped to our regional hubs and international clients. The successful candidate will ensure that all devices are properly installed with the required software, tested for functionality, and packaged according to company standards.
 
 
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Configure kiosks, tablets, point-of-sale (POS) systems, and other hardware devices based on predefined specifications.
 </li>
 <li>
 Install and update operating systems, drivers, and company software applications prior to deployment.
 </li>
 <li>
 Conduct quality assurance testing to ensure devices meet performance, connectivity, and usability standards.
 </li>
 <li>
 Maintain accurate configuration records, serial numbers, and shipment logs.
 </li>
 <li>
 Work closely with the Warehouse Engineer / Team Leader to manage daily workflow and meet shipment timelines.
 </li>
 <li>
 Coordinate with the IT and Operations teams for troubleshooting technical issues.
 </li>
 <li>
 Assist in packaging and labeling devices to ensure safe and accurate international shipment.
 </li>
 <li>
 Maintain cleanliness and organization of the configuration and testing area.
 </li>
 <li>
 Ensure compliance with company safety and data security standards.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 
 
 
 <ul>
 <li>
 Diploma or Bachelor&rsquo;s degree in
 
 Information Technology, Computer Engineering, Electronics,
 
 or a related field.
 </li>
 <li>
 At least
 
 1&ndash;3 years of experience
 
 in hardware setup, configuration, or warehouse technical support.
 </li>
 <li>
 Hands-on experience with Windows, Android, or Linux OS installation and configuration.
 </li>
 <li>
 Familiarity with
 
 network setup (Wi-Fi, LAN, VPN)
 
 and basic troubleshooting.
 </li>
 <li>
 Strong attention to detail and ability to follow standard operating procedures (SOPs).
 </li>
 <li>
 Good communication and coordination skills with cross-functional teams.
 </li>
 <li>
 Ability to work independently and meet strict timelines.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Why Join Us?
 
 
 
 
 
 
 At Kayana, you&rsquo;ll be part of a fast-growing global company where your contributions will make a direct impact.
 
 
 
 
 
 We offer:
 
 <ul>
 <li>
 A clear path for career growth.
 </li>
 <li>
 The opportunity to set up and shape the compliance framework for a growing international business.
 </li>
 <li>
 A supportive and collaborative environment where your success is celebrated.
 </li>
 </ul>
 
 
 
 
 
 
 
 Starting salary at 6,000 AED per month
 
 
 
</div>

Warehouse Engineer

Shine.com

<div>
 
 Responsibilities
 
 
 
 Evaluate current warehousing operations andconsider business needs andareas for improvement.
 
 
 Design, develop, and implement automated systemsto enhance efficiency and accuracy in warehousing processes, collaborating with external vendors and global SMEs.
 
 
 Develop and manage comprehensive project plans, includingdesign, testing, and startup phases.
 
 
 Coordinate with suppliers andother work streams (IT, Civil, Production,etc) for design, RFQ, detailed design, and equipment delivery.
 
 
 Lead concept and basic design phases to support detailed design and construction.
 
 
 Support the engineering and operations teams during project startup.
 
 
 Stay updated with advancements in warehousing technologies and processes, updating company standards as technologies advance.
 
 
 Ensure compliance with health, safety, and environmental policies, leading initiatives to promote safer and more sustainable operations.
 
 
 Adhere to all safety requirements and work regulations.
 
 
 Provide training and support to warehouse staff to use the automated systems and processes efficiently.
 
 
 Document all processes andchanges andcreate local user manuals or instructions.
 
 
 This job is provided by Shine.com
</div>

Khazna Data Centers

<div>
 
 
 Khazna was founded in 2012 and has grown rapidly into becoming the leading and trusted wholesale Data Center provider in the Middle East and North Africa region. Through our Data Centers, we provide industry benchmark levels of power supply and cooling services to better serve the growing need for data center operations in the UAE and wider region.
 
 
 
 
 
 
 We are seeking a
 
 Data Engineer
 
 to join our
 
 Command &amp; Control Center &ndash; Data Analytics &amp; Reporting
 
 team, reporting to the
 
 Manager, Data &amp; BI
 
 . This centralized role is responsible for designing, developing, and maintaining scalable data pipelines that support analytics, reporting, and AI/ML initiatives for data center operations. The Data Engineer will ensure data integrity, optimize data architecture, and manage ETL (Extract, Transform, Load) processes across cloud and on-premises platforms to enable effective, data-driven decision-making.
 
 
 
 
 
 
 Key Accountabilities:
 
 
 
 
 
 <ul>
 <li>
 Support the development of scalable data warehouses, lakes and resilient data pipelines to support high-velocity data processing in a wholesale data center environment
 </li>
 <li>
 Design and implement Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) processes to clean, normalize and transform data from diverse sources, including Internet of Things (IoT) sensors, Building Management System (BMS) within data center operations
 </li>
 <li>
 Automate data ingestion, transformation and storage workflows for real-time analytics, ensuring low-latency insights for operational decision-making across data center environments
 </li>
 <li>
 Set up streaming data services to enable continuous migration of critical data center infrastructure metrics into analytics platforms for real-time monitoring
 </li>
 <li>
 Work with Integration teams, Data Warehouse engineers and Analytics teams to build highly optimized, resilient and scalable data center data processing architectures
 </li>
 <li>
 Define data sourcing strategies, tagging mechanisms and aggregation methods to ensure seamless availability of structured and unstructured data for data center analytics
 </li>
 <li>
 Collaborate with Data Scientists and Business Intelligence (BI) teams to enable AI/ML model development, predictive analytics and operational intelligence for data center operations
 </li>
 <li>
 Develop calculation methodologies for statistical computation of KPIs related to Power Usage Effectiveness (PUE), Water Usage Effectiveness (WUE), uptime and asset utilization in data centers
 </li>
 <li>
 Identify critical data points and sources that drive KPI computations and aggregate site-level metrics for centralized data center performance reporting
 </li>
 <li>
 Build reporting source files for dashboards, enabling executive leadership to monitor data center performance trends across regional and site-level operations
 </li>
 <li>
 Generate historical trend analyses, benchmarking individual data center site performance against portfolio-wide averages to drive efficiency improvements
 </li>
 <li>
 Conduct Exploratory Data Analysis (EDA) to identify patterns, anomalies and correlations that impact energy efficiency, workload distribution and infrastructure health in data centers
 </li>
 <li>
 Gather required historical and real-time data from internal platforms and external sources, ensuring comprehensive datasets for advanced analytics in data center environments
 </li>
 <li>
 Develop simulations and scenario models to analyse potential business impacts, optimize data center capacity planning and mitigate operational risks
 </li>
 <li>
 Update models and forecasting frameworks based on market trends, data center infrastructure expansion plans and internal priority shifts
 </li>
 <li>
 Research and implement cutting-edge data engineering techniques, contributing to industry-leading best practices in large-scale data center data infrastructure management
 </li>
 <li>
 Deliver data archiving, backup and disaster recovery strategies, ensuring high availability and business continuity for critical data center data assets
 </li>
 <li>
 Ensure seamless integration of data platforms with enterprise applications, enabling end-to-end visibility and automated decision-making across the data center ecosystem
 </li>
 </ul>
 
 
 
 
 
 Minimum Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in computer science (or) related to Data Engineering
 </li>
 <li>
 Certifications in cloud data platforms preferred
 </li>
 <li>
 4+ years of experience in data engineering, ETL development or database management
 </li>
 <li>
 Strong proficiency in SQL, Python or Scala
 </li>
 <li>
 Experience with cloud data platforms (AWS, Azure, GCP)
 </li>
 <li>
 Hands-on experience with data pipeline tools like Apache Airflow, Kafka or Spark
 </li>
 <li>
 Understanding of data modeling, warehousing and governance principles
 </li>
 </ul>
 
 
 
 
 
 Additional skills:
 
 
 
 
 
 <ul>
 <li>
 Ability to troubleshoot complex data challenges, optimize pipeline performance and drive continuous improvements in large-scale infrastructure
 </li>
 <li>
 Strong ability to work across Data Science, Engineering, IT and Business Intelligence teams to align data solutions with business needs
 </li>
 <li>
 Expertise in translating technical data models and engineering concepts into clear insights for non-technical stakeholders
 </li>
 </ul>
 
 
 
 
 
 Training/Certifications Preferred:
 
 
 
 
 
 <ul>
 <li>
 AWS Certified Data Analytics &ndash; Specialty
 </li>
 <li>
 Google Professional Data Engineer
 </li>
 <li>
 Microsoft Certified: Azure Data Engineer Associate
 </li>
 <li>
 Apache Spark Developer Certification
 </li>
 </ul>
 
 
</div>

Data Engineer

Landship Engineering and Construction LLC

Company: Landship Engineering &amp; Construction LLC Location: Abu Dhabi, UAE Job Type: Full-time Open Positions: 2<ul><li>1 Civil Site Engineer</li><li>1 Structural Site Engineer</li></ul>Job OverviewLandship Engineering &amp; Construction LLC is hiring two Site Engineers for ongoing warehouse, commercial, and industrial construction projects in Abu Dhabi.We are looking for:<ul><li>1 Civil Site Engineer with strong experience in general civil works, finishing, and site execution</li><li>1 Structural Site Engineer with expertise in structural works, RCC, steel structures, foundations, and load-bearing elements</li></ul>The selected candidates will be responsible for supervising site activities, coordinating with contractors and consultants, ensuring work quality, and delivering projects as per drawings, specifications, and schedule.Key Responsibilities<ul><li>Supervise and monitor day-to-day site execution activities</li><li>Ensure works are carried out as per approved drawings, specifications, and project schedule</li><li>Coordinate with project managers, consultants, subcontractors, and suppliers</li><li>Conduct regular site inspections and progress monitoring</li><li>Ensure compliance with QA/QC, HSE, and local authority regulations</li><li>Review shop drawings, method statements, and BOQs</li><li>Coordinate material requirements and site resources</li><li>Monitor workforce productivity and site progress</li><li>Prepare daily progress reports, site updates, and work completion records</li><li>Identify and resolve technical and execution-related issues</li><li>Ensure timely completion of project milestones</li><li>Assist in quantity verification and site measurements</li></ul>Role-Specific Requirements: Civil Site Engineer<ul><li>Experience in civil works, block work, plastering, concrete works, paving, finishing, and infrastructure works</li><li>Knowledge of site coordination, material planning, and subcontractor supervision</li><li>Experience in commercial, warehouse, and industrial projects</li></ul>Structural Site Engineer<ul><li>Strong experience in RCC works, foundations, steel structures, formwork, rebar inspection, and structural execution</li><li>Ability to interpret structural drawings, reinforcement details, and load calculations</li><li>Experience in industrial sheds, warehouse steel structures, and commercial building frameworks</li></ul>Requirements<ul><li>Bachelor&rsquo;s Degree in Civil Engineering</li><li>Minimum 2&ndash;4 years of UAE experience in site engineering</li><li>Proven experience in warehouse, industrial, or commercial construction projects</li><li>Strong knowledge of construction methods, materials, and safety standards</li><li>Proficiency in AutoCAD, MS Office, and site reporting</li><li>Excellent coordination and communication skills</li><li>Experience in Abu Dhabi / UAE projects preferred</li></ul>Job Type: Full-timePay: From AED4,000.00 per monthApplication Question(s):<ul><li>What is your Salary Expectation?</li></ul>Experience:<ul><li>Site Engineer: 2 years (Preferred)</li><li>Civil supervision : 5 years (Preferred)</li></ul>Location:<ul><li>Abu Dhabi (Preferred)</li></ul>Work Location: In person

Site Engineer (Civil & Structure)

KAYALI

<div>Who We Are
Fueled by passion, KAYALI was founded in 2018 by beauty mogul and fragrance fanatic, Mona Kattan. Translating to &lsquo;my imagination&rsquo; in Arabic, KAYALI provides a modern fragrance experience inspired by Mona&rsquo;s rich Middle Eastern heritage and the art of layering scents to help you create your mood; where sharing scents is a ritual and smelling good is both an act of goodwill and self-love. Mona collaborates with some of the world&rsquo;s most renowned perfumers and sources the finest ingredients to create unique juices that are infinitely memorable, long-lasting, and cruelty-free. Each luxurious fragrance is an ode to true craftsmanship and tells a special story, from the addictive notes to the multi-faceted jeweled bottles. 
Our Mission
To make everyone feel like the diamond they are! To build a global community of fragrance lovers through the power of scent and by providing them with the most innovative &amp; luxurious fragrances, education and sharing our Middle Eastern fragrance rituals with the world. 
Summary
Introduction of a new role to provide expertise across data warehousing platforms including Azure Data Bricks and Power BI along with all the necessary integrations. The BI Engineer will be responsible for supporting, implementing and maintaining data warehouse Pipelines and Reports to streamline business process. 
RESPONSIBILITIES:
Data Platform &amp; Architecture<ul><li>
Manage a scalable modern Data platform leveraging the Azure ecosystem, including Azure Databricks, Azure Synapse Analytics, Azure Data Factory, and Azure Data Lake Storage.
</li><li>Design and implement Lakehouse architecture using Medallion (Bronze, Silver, Gold) patterns with Delta Lake to ensure data reliability, scalability, and performance with knowledge of Delta Lake and ACID-compliant data architectures
</li><li>Apply data modelling techniques (dimensional modelling, star/snowflake schemas) to support both operational and analytical use cases.</li></ul>
Data Engineering &amp; Pipelines<ul><li>
Develop and maintain robust, high-performance data pipelines using cloud-native technologies (Databricks, PySpark, Lakehouse Workflows) to support ingestion, transformation, and curation of large-scale datasets.
</li><li>Knowledge in identifying and resolving complex data discrepancies across multi-stage ETL/ELT pipelines, with a focus on root cause analysis (RCA) of failures, data skew, and late-arriving data etc.
</li><li>Build and optimize end-to-end data integration frameworks, including ingestion from relational databases, flat files, and third-party REST APIs (handling authentication, pagination, and incremental loads).
</li><li>Troubleshoot and resolve complex data pipeline failures, performance bottlenecks, and data inconsistencies, performing root cause analysis in production environments.</li></ul>
Business Intelligence &amp; Power BI<ul><li>
Design, develop, and optimize Power BI datasets, reports, and dashboards, applying best practices in data modelling, DAX, and performance tuning.
</li><li>High-level proficiency in performance tuning and semantic model debugging, specifically using tools like DAX Studio and Tabular Editor to isolate issues within the Filter Context, Row Context, and complex relationship cardinalities.
</li><li>Strategic ability to troubleshoot data issues and investigate Gateway connectivity failures, Direct Query latency issues, and visual-level calculation errors to ensuring report accuracy and faster response times for executive stakeholders.</li></ul>
Data Integration &amp; Consumption<ul><li>
Manage the integration of data platforms with Power BI, ensuring efficient data models and seamless data consumption for reporting and analytics.</li></ul>
Data Governance &amp; Security<ul><li>
Implement and manage data security frameworks, including role-based access control (RBAC), Row-Level Security, and governance using Unity Catalog or equivalent tools.</li></ul>
DevOps, CI/CD &amp; Deployment<ul><li>
Knowledge in CI/CD pipelines using Azure DevOps or GitHub Actions to enable automated, reliable, and consistent deployment of data solutions.</li></ul>
Performance Optimization &amp; Cost Management<ul><li>
Monitor and optimize data platform performance and cloud resource utilization, identifying cost optimization opportunities and ensuring efficient workload execution.</li></ul>
Data Quality &amp; Reliability<ul><li>
Implement data quality, validation, and monitoring frameworks to ensure accuracy, consistency, and reliability of data assets.</li></ul>
Stakeholder Collaboration &amp; Delivery<ul><li>
Collaborate with cross-functional teams including business stakeholders, analysts, and engineers to translate business requirements into scalable technical solutions.</li></ul> 

Requirements 
<ul><li>
 Minimum 5+ years in both Reporting and Data engineering domain, with at least 3+ years focused on Azure based data platforms mainly Power BI and Azure Databricks.</li><li>
 Comprehensive knowledge of the Azure Data Stack and Strong hands-on experience with Azure Databricks, Azure Data Lake Storage, Synapse, ADF and open-source cloud native tools.</li><li>
 Extensive experience in Power BI, including Dataset design and optimization, Report and dashboard development using calculated measures, DAX etc.</li><li>
Knowledge of performance tuning techniques (Query optimization, Import vs Direct Query, aggregations etc).</li><li>
Proficiency in SQL, PySpark, Python</li><li>
 Solid understanding on Data modelling techniques.</li><li>
 Effective problem-solving skills backed by strong people skills.</li><li>
 Excellent oral and written communication skills.</li></ul> 

Benefits 
<ul><li>
Premium Medical/Dental/Vision coverage</li><li>
Find your Magic Days</li><li>
Volunteer Day</li><li>
Birthday Leave</li><li>
Egg Freezing Benefits</li><li>
Employee discounts on all Kayali products</li><li>
Quarterly product gifting</li></ul> 
Kayali is committed to building diverse and inclusive teams and upholding an equal employment workplace that is free from discrimination. We hire stellar individuals regardless of their race, color, ancestry, religion, gender identity, national origin, sexual orientation, age, marital status, medical conditions, disability, or veteran status. If you need reasonable accommodations at any point in the application or interview process, please let us know.</div>

BI Engineer

Vanguard General Contracting L.L.C

We are seeking an experienced and dedicated Site Civil Engineer to oversee the execution of industrial warehouse construction projects. The ideal candidate will have a strong background in civil engineering with hands-on experience in managing large-scale industrial/warehouse site works from ground-breaking to project handover.Job Type: Full-timeWork Location: In person

Civil Site Engineer

Explore 1546+ Warehouse engineer in United Arab Emirates this May. Find roles across top companies and apply now to boost your career.

1546 warehouse engineer jobs In United Arab Emirates

Warehouse Engineer

Warehouse Engineer

Warehouse Engineer

Data Engineer

Site Engineer (Civil & Structure)

BI Engineer

Civil Site Engineer