electrical engineer

civil engineer

estimation engineer

planning engineer

project engineer

database engineer

bankfab

<div><div>Job Description</div>
<div>
<div><b>KEY ACCOUNTABILITIES:
</b><br>
<ul><li>Provide Expertise in installation, configuration, and management of Oracle RAC and ASM environment on Unix like platforms preferably on AIX and Linux OS.
</li><li>Patching Oracle infrastructure in a production RAC and Data Guard DR environments.
</li><li>Implementation of Database Encryption (TDE) in a highly critical and 24X7 environments.
</li><li>Manage, support, and maintain database technology and infrastructure, adhering to the architectural guidelines and policies.
</li><li>Database administration for off the shelf and internally developed applications, ensuring continuous 24x7 operation and availability in support of mission critical business applications and participating in on-call rotation.
</li><li>Install, configure, monitor, upgrade and maintain Oracle databases in production and non-production environments.
</li><li>Support local/across the DC failover with High Availability Disaster Recovery environment with ODG/OGG. Participate in Database Maintenance and DR activities.
</li><li>Write/maintain OS level scripts for DB automation and application maintenance.
</li><li>Provide technical expertise and hands-on support in consolidation and migration of databases to new hardware and platforms.
</li><li>Physical implementation of databases, storage structures, high-availability solutions, replication, and disaster recovery solutions.
</li><li>Proactive and reactive performance analysis, monitoring, troubleshooting and resolution of escalated Level 2 and Level 3 issues.
</li><li>Regular database capacity planning related to database growth and system utilization, trend analysis, predictive future database resource requirements, and the structured organized reporting of the same.
</li><li>Work closely with other infrastructure engineering, product development, business operations, and technical operations teams to ensure delivery of database services within the SLAs and performance targets.
</li><li>Adapt business requirements, model data, and develop database specifications, table, and element attributes.
</li><li>Participate in the evaluation, selection, and implementation of DBA tools to improve the effectiveness of tasks such as performance monitoring and tuning, recovery, and database change management processing.
</li><li>Ability to work well as a team and as an individual with minimal supervision.
</li></ul></div><p><b>QUALIFICATIONS &amp; EXPERIENCE:
</b></p><ul><li>Bachelor&rsquo;s degree in computer science or information technology field.
</li><li>Ideally Oracle Certified DB Professional (OCP) with more than 9 years&rsquo; experience with Oracle databases.
</li><li>Mid-level DBA experience, managing Oracle databases, versions 11g and onwards.
</li><li>Oracle Golden Gate experience, managing complex replication topology.
</li><li>Strong understanding of Oracle database fundamentals
</li><li>Strong understanding of Oracle Golden Gate fundamentals
</li><li>Strong understanding of Oracle Data Guard fundamentals
</li><li>Strong understanding of Oracle database security management
</li><li>Should have strong Unix platform skills and understanding of network, storage, tiered application environments and security.
</li><li>Proficiency in writing PL/SQL procedures, functions and packages for administration and application support
</li><li>Strong knowledge of operating systems, Shell scripting, Perl/Python scripting is a plus.
</li><li>Good interpersonal skills along with effective communication (both written and verbal) skills.
</li><li>Ability to lead technical team of DBA to accomplish complex projects
</li><li>Demonstrated ability to solve complex systems and database environment issues.
</li><li>Demonstrate ability to work in a complex organization to determine business and customer needs, providing the best solution to meet those needs.
</li><li>Work experience in a Financial Institution will be preferred.
</li></ul><p>Below are the must-have key skills for a candidate:
</p><p>1). Oracle RAC installation, configuration, and upkeep of the clustered environment
<br>
2). Oracle ASM configuration and administration/maintenance skills
<br>
3). Upgrade of RAC clusters and clustered Databases to a supported release. Patching of clusters and clustered databases
<br>
4). Set up and maintain highly available environment using Oracle Data Guard and/or Golden Gate
<br>
5). Working Knowledge of Oracle Encryption technology known as TDE</p></div></div>
<br><div><div>Responsibilities</div></div><div></div>
<br><div><div>Qualifications</div></div><div></div>
<br><div><div>About Us</div>
<div><div><b>About Us:<br>
</b></div><div></div><br>
<div>First Abu Dhabi Bank (FAB) is the largest bank in the UAE and one of the world's largest and safest financial institutions. We offer a comprehensive range of personal and private banking services, including credit cards, Islamic banking, investments, loans, and mortgages. Our commitment to excellence and innovation drives us to provide top-tier financial solutions to our clients.<br>
</div><div></div><br>
<div><b>Life at FAB:<br>
</b></div><div></div><br>
<div>Working at FAB means being part of a team of talented and passionate individuals with a shared vision to support the ambitions of our stakeholders to &quot;Grow Stronger.&quot; We embrace the needs of our customers across the globe with a sense of responsibility and confidence driven by extensive expertise that can only be delivered by an ambitious world-class organization<br>
</div><div></div><br>
<div><b>Career Development:<br>
</b></div><div></div><br>
<div>FAB offers unique career choices, a chance to innovate, craft solutions for the future, and express yourself in a performance-based culture that will unleash the best in you. Whether you are an experienced professional or just starting your career, FAB provides a range of learning and development initiatives to support all employees through training and skill development.<br>
</div><div></div><br>
<div><b>Our Values:<br>
</b></div><div></div><br>
<div>At FAB, we place our customers at the core of our activities, live our values each day in every way, celebrate achievements, and empower each other to deliver leading solutions. We have structured plans for the recruitment and career progression of Emirati talent to enable them to make a mark in the financial and banking sector both regionally and globaly that rewards your hard work and dedication.<br>
</div><div></div><br>
<div>Join our team and be part of a journey to shape the future of banking.</div></div></div><div></div>

Senior Engineer, Platform Databases

Khazna Data Centers

<div>
 <p>
  <strong>
   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.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are seeking a
  <strong>
   Data Engineer
  </strong>
  to join our
  <strong>
   Command &amp; Control Center &ndash; Data Analytics &amp; Reporting
  </strong>
  team, reporting to the
  <strong>
   Manager, Data &amp; BI
  </strong>
  . 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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Accountabilities:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Minimum Qualifications:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Additional skills:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Training/Certifications Preferred:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <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>
 <p>
 </p>
</div>


Data Engineer

Halian | Managed Services, Recruitment Agency & Contract Staffing

<div>
 A leading financial institution undertaking a large-scale data modernization program. The organization is seeking a
 <strong>
  Data Platform Engineer
 </strong>
 to support, enhance, and optimize its enterprise data platform, ensuring reliability, scalability, and governance across the data ecosystem.
 <br/>
 <br/>
 <strong>
  Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Manage and optimize core components of the enterprise data platform, including storage, compute, cataloging, and governance layers.
  </li>
  <li>
   Implement platform performance improvements, automate recurring operational tasks, and execute best practices for data storage and lifecycle management.
  </li>
  <li>
   Deploy self-service capabilities for data teams and ensure proper monitoring, logging, and lineage capture across platform processes.
  </li>
  <li>
   Develop and maintain disaster recovery procedures, including failover scenarios, backup strategies, and annual testing activities.
  </li>
  <li>
   Support platform migration and decommissioning initiatives, ensuring secure, stable, and compliant transitions.
  </li>
  <li>
   Collaborate with engineering, architecture, and operational teams to ensure consistent platform governance, reliability, and continuous improvement.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications and Skills:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong experience managing large-scale cloud-based data platforms, including storage, compute, and metadata layers.
  </li>
  <li>
   Hands-on expertise in platform operations, performance optimization, automation, and monitoring frameworks.
  </li>
  <li>
   Knowledge of disaster recovery planning, high-availability strategies, and operational readiness practices.
  </li>
  <li>
   Familiarity with infrastructure automation, version control, and event-streaming or search technologies.
  </li>
  <li>
   Strong problem-solving abilities and experience working in agile, cross-functional engineering environments.
  </li>
  <li>
   Excellent communication, collaboration, and stakeholder management skills.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Halian Group:
  <br/>
  <br/>
 </strong>
 With over 28 years of experience, we have come to understand that innovation is the only way to provide agile, practical solutions that transform businesses and careers.
 <br/>
 <br/>
 Our resourcing and smart services help you to realize tomorrow&rsquo;s potential. Discover the amazing things possible when you bring the right people and the right technologies together.
 <br/>
 <br/>
 At Halian, we recognize that diversity, equity, and inclusion (DEI) are essential to building high-performing teams for our clients. We are committed to connecting organizations with top talent from all backgrounds, ensuring that every individual feels valued, respected, and empowered to contribute their unique perspectives. We encourage applications from all qualified candidates, regardless of race, gender, disability, or any other characteristic that makes them unique. By fostering diverse and inclusive workplaces, we help our clients drive innovation, enhance collaboration, and better reflect the communities they serve.
 <br/>
 <br/>
 Data Platform Engineer in Abu Dhabi, United Arab Emirates
 <br/>
 <br/>
</div>


Data Platform Engineer (m/f/d)

Manpower Middle East

<div>
 <p>
  <strong>
   About the role:
  </strong>
 </p>
 <p>
  We are seeking an experienced data engineer to join our team building a scalable and secure health data platform. In this role, you will design, build and optimise data pipelines (batch &amp; streaming) for big data systems. Extracting, Analysing and Modelling of rich &amp; diverse health data sets.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <p>
  Design and implement data pipelines, ETL processes, schemas, and data models to ingest, process, and prepare multi-petabyte scale datasets for downstream analytics and machine learning.
 </p>
 <p>
  Build and optimize data processing systems on modern platforms like Azure Fabric/Databricks, Spark, Delta Lake, Azure Data Factory/Airflow, Purview, Kafka, etc.
 </p>
 <p>
  Implement data quality, validation, and monitoring measures leveraging tools such as Great Expectations.
 </p>
 <p>
  Ensure compliance with security, access control, and regulatory requirements related to PHI and other sensitive data types.
 </p>
 <p>
  Support adoption of emerging standards like FHIR for healthcare data exchange.
 </p>
 <p>
  Collaborate with data scientists, analysts, and engineers to understand data needs and deliver performant, reliable data products
 </p>
 <p>
  Keep track of emerging technologies &amp; trends in the Data Engineering world, incorporating modern tooling and best practices.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <p>
  4+ years experience building and operating production big data platforms and pipelines
 </p>
 <p>
  Strong experience with SQL, Spark, workflow orchestrators(ADF/Airflow), distributed message bus, Python, Delta Lake, apache big data tool suites, Docker, Kubernetes, MPP
 </p>
 <p>
  Hands on with the design and implementation of cloud-based data solutions using platforms like Azure, AWS, or GCP, optimizing for scalability, cost-efficiency, and performance.
 </p>
 <p>
  Implement and maintain data lakes including data modeling, ETL processes, and data quality assurance to empower data-driven decisionmaking.
 </p>
 <p>
  Develop real-time data pipelines using streaming technologies like Apache Kafka or AWS Event hub, enabling timely insights and actions from incoming data streams.
 </p>
 <p>
  Previous experience of working on health data and Azure cloud is a strong plus
 </p>
 <p>
  Experience with Databricks or MS Fabric
 </p>
 <p>
  Strong track record of designing and implementing scalable data models, schemas, ETL logic
 </p>
 <p>
  Experience with data governance, master data management, data pseudonimization and anonymization, and data catalog solutions .
 </p>
 <p>
  A strong interest in learning new things and team player ethics.
 </p>
 <p>
  Strong analytical skills and good understanding of data structures and algorithms.
 </p>
 <p>
  Some exposure to Nextflow and or Nextflow Tower
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Nice to have:
  </strong>
 </p>
 <p>
  Experience building data pipelines for machine learning and working with unstructured datasets.
 </p>
 <p>
  Knowledge of genomics, medical imaging, and/or EHR data domains
 </p>
 <p>
  Knowledge of HIPAA, HL7 and other healthcare data privacy requirements.
 </p>
 <p>
  Azure Batch &amp; Blob Storage
 </p>
</div>


Confidential

<div>
 <p>
  <strong>
   Job Summary
  </strong>
 </p>
 <p>
  We are seeking a
  <strong>
   Senior / Lead Data Engineer
  </strong>
  to design, build, and scale
  <strong>
   AI-powered, cloud-native data platforms
  </strong>
  that support enterprise analytics, machine learning, and business-critical decision-making.
 </p>
 <p>
  The ideal candidate will bring deep expertise in
  <strong>
   data engineering, cloud data warehouses, cost optimization, and AI-assisted development
  </strong>
  , with a proven track record of delivering
  <strong>
   high-impact, revenue-generating data platforms
  </strong>
  and
  <strong>
   intelligent automation solutions
  </strong>
  at scale.
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <strong>
   Data Platform &amp; Pipeline Engineering
  </strong>
 </p>
 <ul>
  <li>
   Design, develop, and maintain
   <strong>
    scalable ETL/ELT pipelines
   </strong>
   using Python, SQL, dbt, and modern orchestration tools.
  </li>
  <li>
   Build and optimize
   <strong>
    cloud-based data warehouses
   </strong>
   (BigQuery or equivalent) supporting high-volume analytical workloads.
  </li>
  <li>
   Implement
   <strong>
    robust data modeling
   </strong>
   (dimensional and analytical models) to enable self-service analytics and AI use cases.
  </li>
  <li>
   Ensure
   <strong>
    data quality, integrity, and freshness
   </strong>
   through automated validation frameworks and monitoring.
  </li>
 </ul>
 <p>
  <strong>
   AI-Driven Automation &amp; Innovation
  </strong>
 </p>
 <ul>
  <li>
   Design and deploy
   <strong>
    AI-powered internal tools and agents
   </strong>
   to automate data engineering workflows, incident diagnosis, and root cause analysis.
  </li>
  <li>
   Integrate AI agents with collaboration tools (e.g., Slack) to improve operational efficiency and reduce incident resolution time.
  </li>
  <li>
   Apply AI-assisted development techniques to accelerate delivery, improve code quality, and reduce manual effort across teams.
  </li>
 </ul>
 <p>
  <strong>
   Performance &amp; Cost Optimization
  </strong>
 </p>
 <ul>
  <li>
   Lead
   <strong>
    cloud cost optimization initiatives
   </strong>
   , including query optimization, architectural redesign, and usage monitoring.
  </li>
  <li>
   Drive measurable reductions in data platform operational costs while maintaining performance and reliability.
  </li>
 </ul>
 <p>
  <strong>
   Cloud &amp; DevOps
  </strong>
 </p>
 <ul>
  <li>
   Build and deploy data services using
   <strong>
    containerized and CI/CD-driven workflows
   </strong>
   .
  </li>
  <li>
   Collaborate with DevOps and platform teams to ensure scalable, secure, and reliable cloud infrastructure.
  </li>
  <li>
   Support multi-cloud or hybrid environments as required (GCP, Azure).
  </li>
 </ul>
 <p>
  <strong>
   Leadership &amp; Collaboration
  </strong>
 </p>
 <ul>
  <li>
   Provide
   <strong>
    technical leadership and mentorship
   </strong>
   to data engineers.
  </li>
  <li>
   Establish
   <strong>
    SOPs, best practices, and engineering standards
   </strong>
   across the data function.
  </li>
  <li>
   Partner closely with product, analytics, and business stakeholders to translate requirements into scalable data solutions.
  </li>
 </ul>
 <p>
  <strong>
   Required Skills &amp; Qualifications
  </strong>
 </p>
 <p>
  <strong>
   Technical Skills
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Programming:
   </strong>
   Python (expert), SQL (expert), Shell scripting (advanced).
  </li>
  <li>
   <strong>
    Data Engineering:
   </strong>
   dbt, ETL/ELT pipelines, data warehousing, data modeling, data quality frameworks.
  </li>
  <li>
   <strong>
    Cloud Platforms:
   </strong>
   Google Cloud Platform (BigQuery, Cloud Run) &ndash; strong experience; Azure familiarity is a plus.
  </li>
  <li>
   <strong>
    Orchestration &amp; Automation:
   </strong>
   Airflow or equivalent.
  </li>
  <li>
   <strong>
    DevOps &amp; Tooling:
   </strong>
   Git, Docker, CI/CD pipelines.
  </li>
  <li>
   <strong>
    AI &amp; ML Exposure:
   </strong>
   AI agent frameworks, ML pipelines, model lifecycle management, observability tools.
  </li>
 </ul>
 <p>
  <strong>
   Data Management
  </strong>
 </p>
 <ul>
  <li>
   Cost optimization and performance tuning.
  </li>
  <li>
   Data governance, cataloging, and best-practice documentation.
  </li>
 </ul>
 <p>
  <strong>
   Education
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science or related field.
  </li>
  <li>
   Master&rsquo;s or Postgraduate qualification in Data Science is preferred.
  </li>
 </ul>
 <p>
  <strong>
   Nice to Have
  </strong>
 </p>
 <ul>
  <li>
   Experience delivering
   <strong>
    AI/ML pipelines
   </strong>
   in production environments.
  </li>
  <li>
   Exposure to
   <strong>
    government, public sector, or regulated enterprise data platforms
   </strong>
   .
  </li>
  <li>
   Experience building
   <strong>
    observability and monitoring tools
   </strong>
   for data platforms.
  </li>
  <li>
   Prior work on
   <strong>
    Arabic-language or regional datasets
   </strong>
   .
  </li>
 </ul>
 <p>
 </p>
</div>


Brightmoon General Transport&contracting

<p>Job Title: MEP Estimation Engineer<br/>Location: Abu Dhabi, UAE</p><p>We are looking for a detail-oriented and experienced MEP Estimation Engineer to join our team in Abu Dhabi. The ideal candidate should have strong experience in cost estimation for Mechanical, Electrical, and Plumbing works within the UAE.</p><p>Key Responsibilities:</p><p>Prepare accurate cost estimates for MEP works (HVAC, Electrical, Plumbing &amp; Firefighting)</p><p>Analyze drawings, specifications, and tender documentsPerform quantity take-offs and pricing</p><p>Coordinate with suppliers and subcontractors for quotations</p><p>Evaluate tender documents and identify project risks</p><p>Prepare BOQs and cost comparison reportsSupport project team during tender clarification and negotiations</p><p>Maintain estimation database and cost records</p><p>Requirements:</p><p>2&ndash;3 years of UAE experience as an MEP Estimation EngineerBachelor&rsquo;s degree in Mechanical / Electrical Engineering or related field</p><p>Strong knowledge of UAE market rates and suppliersProficiency in estimation software and MS Excel</p><p>Ability to read and interpret technical drawingsUAE Driving License is mandatory</p><p>Immediate joiners or candidates with short notice period preferred</p><p>Job Types: Full-time, Permanent</p><p>Pay: AED4,000.00 - AED6,000.00 per month</p><p>Work Location: In person</p>

MEP Estimation Engineer

Touq Property Services LLC

<p>We are seeking an experienced Estimation Engineer responsible for preparing accurate, competitive, and well-structured cost estimates for EPC projects. The role involves close coordination with the Quantity Surveying team, with quantities provided by the QS Engineer, while the Estimation Engineer leads rate analysis, cost build-up, and overall pricing strategy, as well as contributing to high-quality techno-commercial submissions.</p><p><b>Key Responsibilities</b></p><ul><li>Prepare detailed Bills of Quantities (BOQs) in coordination with the QS Engineer</li><li>Develop comprehensive cost estimates based on quantity take-offs, specifications, and project requirements</li><li>Establish accurate unit rates for materials, labor, equipment, and subcontract works</li><li>Analyze and validate supplier and subcontractor quotations against current market rates</li><li>Prepare complete cost breakdowns across all disciplines, including civil, structural, architectural, and MEP works</li><li>Identify project risks, exclusions, and opportunities for cost optimization and value engineering</li><li>Lead and contribute to the preparation of high-level techno-commercial proposals, ensuring clarity, accuracy, and competitiveness</li><li>Coordinate with internal teams (engineering, procurement, and operations) to align technical and commercial inputs</li><li>Maintain and update a cost database including material rates, productivity benchmarks, and market trends</li></ul><p>Qualifications &amp; Requirements</p><ul><li>Bachelor&rsquo;s degree in Civil Engineering or a related field</li><li>Minimum 5+ years of experience in EPC estimation (UAE/GCC preferred)</li><li>Strong knowledge of material rates, labor costs, and construction methodologies across all disciplines</li><li>Proven ability to generate complete and reliable cost estimates independently based on provided quantities</li><li>Demonstrated experience in preparing high-quality techno-commercial proposals</li><li>Experience working in coordination with QS teams and interpreting quantity take-offs</li><li>Advanced proficiency in Microsoft Excel, AutoCAD, and estimation tools</li><li>Strong analytical, commercial, and communication skills</li><li>Ability to work under pressure and meet tight tender deadlines</li></ul><p>Job Types: Full-time, Permanent</p><p>Work Location: In person</p>

Estimation and Costing Engineer – EPC Projects

Explore 396+ Database engineer in Abu Dhabi this April. Find roles across top companies and apply now to boost your career.

396 database engineer jobs In Abu Dhabi

Senior Engineer, Platform Databases

Data Engineer

Data Platform Engineer (m/f/d)

Data Engineer

Data Engineer

MEP Estimation Engineer

Estimation and Costing Engineer – EPC Projects