electrical engineer

civil engineer

mechanical engineer

planning engineer

sales engineer

data engineer

Deeplight

<p></p><div><p>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.</p><p>
The Backend Engineer is a pivotal role within the Technology Services group, designed to drive digital transformation and innovation in banking. You will be responsible for developing scalable, AI-powered applications and Generative AI (GenAI) solutions that enhance core banking processes and customer digital journeys. By integrating advanced analytics, conversational AI, and cloud-native architectures, you will build secure, modular systems that bridge the gap between complex data requirements and strategic business outcomes. This role requires a blend of technical mastery in modern frameworks and a deep understanding of banking operations to deliver high-impact enterprise platforms.</p><p></p><p><b>
As the Backend Engineer, your responsibilities will include:</b></p><p></p><ul><li>
Application Development: Design, build, and deploy full-stack, AI-powered web applications using microservices and RESTful APIs.</li><li>
GenAI Integration: Implement Generative AI engineering principles, including Retrieval-Augmented Generation (RAG) and agentic workflows, into enterprise-grade digital platforms.</li><li>
Architecture &amp; Design: Create modular, scalable architectures and establish documentation standards and reusable templates for AI projects.</li><li>
Data Engineering: Design and implement robust data pipelines, pre-processing workflows, and governance frameworks to handle large, complex datasets.</li><li>
DevOps &amp; Deployment: Manage containerization (Docker) and CI/CD pipelines to ensure automated, secure, and scalable deployments.</li><li>
Collaboration: Act as an &quot;analytics translator&quot; between business units and IT, coordinating with UI/UX teams, Data Scientists, and AI Engineers to align technical builds with business growth.</li><li>
Compliance &amp; Standards: Adhere to all organizational policies, service standards, and procedural instructions to ensure consistent, high-quality delivery.</li></ul><p></p><p><i>
As an AI consultancy, our greatest asset is the expertise of our people.<br>
</i></p><p><br>
<i>While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.<br>
</i></p><p><br>
<i>We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.<br>
</i></p><p><br>
<i>You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders.<br>
</i></p><p><br>
<i>If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.</i></p><p></p><b><br>
Requirements</b><p><b><br>
The key requirements for this role are:</b></p><p></p><ul><li>
Proficiency in back-end frameworks (FastAPI, Flask, or Node.js) and front-end frameworks (React.js, Angular, or Vue.js).</li><li>
Strong grasp of GenAI engineering, LLM integration (Azure OpenAI), and RAG workflows.</li><li>
Hands-on experience with Azure or AWS ecosystems, including serverless deployments (Azure Functions/AWS Lambda) and cloud storage (S3, Blobs).</li><li>
Advanced coding skills in Python and JavaScript/TypeScript.</li><li>
Expert-level knowledge of Docker, container registries (ACR), and CI/CD automation.</li></ul><p></p><p><b>
You should also have the following:</b></p><p></p><ul><li>
A Bachelor&rsquo;s degree in a quantitative field such as Computer Science, Software Engineering, or a related discipline.</li><li>
A minimum of 5+ years in professional software development.</li><li>
Proven track record in building scalable, secure web applications and integrating AI models within a cloud-native environment (Azure preferred).</li><li>
Advanced knowledge of banking operations, terminologies, and financial services products.</li></ul><p></p><p><b>
It would be preferable if you also have:</b></p><p></p><ul><li>
The ability to analyse complex banking products and services to drive innovation and decision-making.</li><li>
Proven ability to translate complex technical/data requirements for non-technical internal stakeholders.</li><li>
The capacity to manage and motivate team members to contribute to change initiatives and continuous improvement.</li><li>
The ability to work effectively in an ad-hoc, fast-paced environment across different functional teams.</li></ul><br>
<b>
Benefits</b><p><b><br>
Benefits &amp; Growth Opportunities:</b></p><ul><li>
Competitive salary.</li><li>
Visa Sponsorship for the successful individual.
</li><li>Comprehensive health insurance for the successful individual.
</li><li>Professional development and certification support.</li><li>
Opportunity to work on cutting-edge AI projects.</li><li>
Career advancement opportunities in a rapidly growing AI company.</li></ul><p></p><p>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.</p><p>
At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.</p><p>
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.</p><p>
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</p></div><p></p>

Backend Engineer

Space42

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 <strong>
  ABOUT US
  <br/>
  <br/>
 </strong>
 Space42 (ADX: SPACE42) is a UAE-based AI-powered SpaceTech company that integrates satellite communications, geospatial analytics and artificial intelligence capabilities to enlighten the Earth from space. Established in 2024 following the successful merger between Bayanat and Yahsat, Space42&rsquo;s global reach allows it to address the rapidly evolving needs of its customers in governments, enterprises, and communities.
 <br/>
 <br/>
 Our vision is to pioneer beyond today for humanity to experience a better tomorrow. Space42 challenges traditional approaches with advanced AI and cutting-edge satellite technology, making space more accessible and redefining how data from space can be used on Earth. We aim to achieve this by connecting people to rewire potential, informing decisions to reimagine impact and enabling action to redefine tomorrow.
 <br/>
 <br/>
 For more information visit: www.space42.ai, follow us on X and Instagram @Space42ai
 <br/>
 <br/>
 <strong>
  Role Summary
  <br/>
  <br/>
 </strong>
 As a Senior AI Engineer &ndash; Geospatial Intelligence &amp; Advanced AI, you will lead the design, implementation, and operationalization of production-grade AI capabilities that turn multi-source geospatial data into decision-ready intelligence. You will work closely with Product Managers, Data Engineers, Software Developers, and domain experts to deliver scalable, reliable solutions across geospatial computer vision (e.g., satellite/remote-sensing imagery), graph/topology-aware modeling (networks and relational geospatial structures), optimization, and anomaly detection.
 <br/>
 <br/>
 &ldquo;Advanced AI&rdquo; in this role is an accelerator: you will selectively apply modern AI patterns (including multimodal/foundation-model capabilities where appropriate) to improve analyst workflows, automation, and interpretability&mdash;while keeping GEOINT accuracy, traceability, and operational reliability as the primary success criteria.
 <br/>
 <br/>
 You will be hands-on while also providing technical leadership&mdash;driving best practices for model development, ML system architecture, MLOps, reliability engineering, and responsible deployment.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <strong>
  Technical leadership &amp; delivery
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Lead end-to-end delivery of ML/AI solutions from problem framing and prototyping to production deployment, monitoring, and continuous improvement.
  </li>
  <li>
   Provide technical direction on model selection, experimentation strategy, evaluation methodology, and architecture.
  </li>
  <li>
   Mentor and review work of AI Engineers; raise engineering standards through code reviews, design reviews, and reusable patterns.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Geospatial intelligence (GEOINT) products
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build AI-powered geospatial intelligence workflows that transform imagery and geospatial data into actionable outputs (alerts, change maps, object inventories, situational overlays).
  </li>
  <li>
   Partner with domain teams to define geospatial product requirements, acceptance criteria, and quality thresholds; translate them into model and pipeline requirements.
  </li>
  <li>
   Drive dataset strategy for GEOINT tasks (labeling guidelines, sampling, balancing, provenance, and ground-truth validation).
  </li>
  <li>
   Ensure model outputs are map-ready: georeferenced, interpretable, and compatible with cartographic and downstream GEOINT production pipelines (e.g., layers, metadata, confidence measures, and audit trails).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Model development &amp; experimentation (Geospatial Intelligence, Graph AI &amp; Advanced AI)
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, train, tune, and validate Deep Learning and classical ML models for geospatial computer vision (e.g., object detection/segmentation/change detection on satellite imagery).
  </li>
  <li>
   Develop and evaluate Graph Neural Network (GNN) models and topological learning approaches for problems involving spatial relationships, networks, and infrastructure graphs.
  </li>
  <li>
   Apply graph-based learning for use cases such as transport networks, connectivity analysis, supply chains, and geospatial relationship modeling.
  </li>
  <li>
   Contribute to analyst productivity and decision support by integrating advanced AI patterns where they measurably help (e.g., multimodal models for triage, structured extraction, search/summarization over GEOINT artifacts), with clear evaluation, governance, and guardrails.
  </li>
  <li>
   Define and implement evaluation approaches for advanced AI components (offline test sets, human-in-the-loop review, red-teaming where relevant) and ensure outputs are reliable, attributable, and policy-compliant.
  </li>
  <li>
   Build robust feature engineering pipelines and evaluation frameworks, including task-specific metrics (e.g., mAP/IoU, geospatial accuracy), graph metrics, and GenAI quality measures.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Production ML &amp; MLOps
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build and launch models in production using best practices in CI/CD, model versioning, experiment tracking, and automated testing.
  </li>
  <li>
   Define and manage SLAs/SLOs for model services (latency, throughput, accuracy drift, availability).
  </li>
  <li>
   Implement monitoring for data quality, model drift, and operational health; drive incident triage and resolution.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Data &amp; platform collaboration
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Collaborate with engineers, product managers, and analysts to understand business needs and data requirements.
  </li>
  <li>
   Partner with data infrastructure teams to improve dataset reliability, lineage, governance, and access patterns.
  </li>
  <li>
   Build and maintain production-grade data pipelines (extraction, transformation, loading) that support training and inference.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Operational excellence &amp; communication
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop clear documentation for models, pipelines, evaluation artifacts, and operational runbooks.
  </li>
  <li>
   Communicate trade-offs and results to technical and non-technical stakeholders.
  </li>
  <li>
   Enjoy collaborating in a multicultural and distributed environment.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <strong>
  Education
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Master&rsquo;s degree in Computer Science, Statistics, Information Systems, or another quantitative field (PhD is a plus).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years of experience in software engineering, data engineering, or ML engineering (or equivalent).
  </li>
  <li>
   3+ years of hands-on experience developing ML/AI algorithms and deploying them into production environments.
  </li>
  <li>
   Experience delivering GEOINT-grade analytics or products with quality controls (QA, traceability, auditability) and operational reliability expectations.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technical competencies
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Deep Learning frameworks (e.g., PyTorch, TensorFlow) and classical ML (e.g., scikit-learn, XGBoost).
  </li>
  <li>
   Geospatial intelligence &amp; GeoAI: raster/vector data fundamentals, map projections/CRS, tiling/geo-referencing, and quality considerations for intelligence products.
  </li>
  <li>
   Geospatial computer vision: detection/segmentation/classification, change detection, multi-spectral/SAR basics, and post-processing for geospatial products.
  </li>
  <li>
   Familiarity with geospatial tooling and data stacks (e.g., GDAL/rasterio, GeoPandas equivalents, PostGIS, cloud-optimized formats such as COG, STAC concepts, and OGC-style interoperability is a plus).
  </li>
  <li>
   Graph AI and topology-aware learning: experience with Graph Neural Networks (GNNs), graph embeddings, network representation learning, and modeling relational/topological structures.
  </li>
  <li>
   Familiarity with graph ML frameworks such as PyTorch Geometric, DGL, or similar libraries.
  </li>
  <li>
   Familiarity with modern AI patterns for augmenting workflows (e.g., embeddings/vector search, basic multimodal model integration) and how to evaluate them safely in production.
  </li>
  <li>
   ML system design: online/offline inference, batch scoring, model serving patterns, feature stores.
  </li>
  <li>
   Data engineering: big data pipelines, architectures and datasets, queuing and streaming processing.
  </li>
  <li>
   Strong programming skills in Python and at least one of Java / Scala / Go.
  </li>
  <li>
   Version control and collaboration tooling (GitHub, GitLab).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Ideally, you&rsquo;ll also need
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with geospatial / remote sensing / satellite imagery data.
  </li>
  <li>
   Highly scalable systems and data stores.
  </li>
  <li>
   Cloud platforms such as AWS or GCP (experience with managed ML services is a plus).
  </li>
  <li>
   Cartography experience (map design principles, symbology, labeling, scale/CRS considerations) and delivering analyst-friendly geospatial products.
  </li>
  <li>
   Photogrammetry / 3D reconstruction experience (e.g., SfM/MVS concepts, orthorectification, DEM/DSM generation, bundle adjustment fundamentals) and working with aerial/satellite imagery pipelines.
  </li>
  <li>
   Experience translating AI outputs into cartographic deliverables (e.g., map layers, annotations, styling rules, and uncertainty visualization).
  </li>
  <li>
   Familiarity with geospatial tooling and formats (e.g., raster/vector concepts, GDAL/rasterio equivalents), and deployment of geospatial analytics at scale.
  </li>
  <li>
   Experience with MLOps tooling (e.g., MLflow, Kubeflow, Airflow, DVC, Weights &amp; Biases).
  </li>
  <li>
   Containerization and orchestration (Docker, Kubernetes).
  </li>
  <li>
   LLM/VLM experience (nice-to-have): applying multimodal/LLM capabilities to GEOINT workflows (e.g., RAG over mission documentation, agentic tooling, structured extraction), plus practical evaluation and guardrails.
  </li>
  <li>
   Experience implementing GenAI safety patterns (PII handling, content filtering, jailbreak resistance), model governance, and security considerations.
  </li>
  <li>
   Experience building human-in-the-loop review workflows for GEOINT outputs (QA, adjudication, auditability) and operating under high-reliability expectations.
  </li>
 </ul>
</div>


Senior AI Engineer (Space42)

Emirates Nuclear Energy

<p></p><div><div><div><div><div><b>Posting Date: </b>20 Feb 2026
</div></div></div></div><div><div><div><div><b>Requisition ID: </b>3462
</div></div></div></div><div><div><div><div><b>Location: </b>HQ - Abu Dhabi
</div></div></div></div><div><div><div><div><b>Posting Status: </b>Active Recruitment
</div></div></div></div><div><div><div><div><div><div><div><div>Job Purpose</div>
</div><div><div>
Responsible for designing, creating, deploying, and managing an organization's data architecture. This role involves defining how the data will be stored, consumed, integrated, and managed by different data entities and IT systems, as well as any applications using or processing that data. Key responsibilities include ensuring data solutions are designed for performance, scalability, and reliability, and align with business objectives.</div></div></div><div><div><div>
Key Activities, Responsibility &amp; Accountability</div>
</div><div><div>
Database Design and Implementation<br>
Responsibilities and Accountabilities:<br>
<ul><li>Design database solutions to store and retrieve company information.</li><li>Analyze structural requirements for new software and applications.</li><li>Develop database solutions to improve company operations.</li></ul>
Data Migration and Integration<br>
Responsibilities and Accountabilities:<br>
<ul><li>Oversee the migration of data from legacy systems to new solutions.</li><li>Ensure seamless integration of new data systems with existing systems</li></ul>
Performance Monitoring and Optimization<br>
Responsibilities and Accountabilities:<br>
<ul><li>Monitor database performance and implement changes to improve performance.</li><li>Conduct regular system tests and troubleshoot issues.</li></ul>
Compliance and Security<br>
Responsibilities and Accountabilities:<br>
<ul><li>Ensure database solutions comply with internal and external regulations.</li></ul></div></div></div><div><div><div><br>
Responsibilities &amp; Accountabilities (contd.)</div>
</div><div><ul><li>Implement data security measures to protect company data.</li></ul>
Training and Support<br>
Responsibilities and Accountabilities:<br>
<ul><li>Ensure database solutions comply with internal and external regulations.</li><li>Implement data security measures to protect company data.</li></ul></div></div><div><div><div>
Professional Certifications</div>
</div><div><div>
Certified Data Management Professional (CDMP)</div></div></div><div><div><div>
Qualifications</div>
</div><div><div>
Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field.</div>
<div>
Pref - Master&rsquo;s degree in a related field.</div></div></div><div><div><div>
Experience</div>
</div><div><div>
3 to 5 years of relevant experience.</div>
<div>
Experience with database management systems (e.g., Oracle, SQL Server, MySQL).</div></div></div></div></div></div></div></div></div><p></p>

Data Architect Specialist

UNISON Group

<div><p>We are looking for an experienced <b>ETL Developer</b> with 6+ years of hands-on experience in ETL development and Big Data technologies. The ideal candidate will be responsible for designing, developing, and maintaining scalable and high-performance data pipelines.</p><p>
In this role, you will work on extracting, transforming, and loading large volumes of structured and unstructured data to support analytics, reporting, and business intelligence initiatives. The candidate should have strong expertise in data integration, data processing frameworks, and performance optimization within enterprise data environments.</p><b>
Key Responsibilities</b><ul><li>
Design, develop, and maintain ETL pipelines for large-scale data processing
</li><li>Extract data from multiple sources and transform it into usable formats
</li><li>Build and optimize data workflows using Big Data technologies
</li><li>Ensure data accuracy, integrity, and quality across systems
</li><li>Develop batch and real-time data processing solutions
</li><li>Collaborate with data engineers, analysts, and business teams
</li><li>Monitor and troubleshoot ETL jobs and data pipelines</li></ul><br>
<b>
Requirements</b><br>
<ul><li>
Over 6+<b> years of extensive experience</b> working with Big Data platforms such as <b>Informatica BDM</b> and <b>Cloudera Data Platform</b>, delivering scalable data solutions for advanced analytics and enterprise reporting.</li><li>
Strong expertise in <b>SQL and NoSQL databases</b>, including Oracle, MS SQL Server, Sybase, Kudu, and HBase.</li><li>
Hands-on experience in data ingestion using ETL tools like <b>Informatica BDM</b>, along with modern Big Data technologies such as <b>Cloudera Data Engineering</b> and <b>NiFi</b> (optional).</li><li>
Solid experience working with core components of the <b>Hadoop Ecosystem</b>, including HDFS, Hive, Impala, Sqoop, Spark, and YARN.</li><li>
Proficient in programming and scripting languages such as <b>Python, PySpark, and Shell Scripting</b>.</li><li>
Experienced in preparing <b>ETL design documentation</b> and developing as well as testing ETL jobs.</li><li>
Skilled in building and packaging <b>deployment-ready ETL workflows</b>.</li><li>
Expertise in documenting ETL codebase for deployment, including <b>FSD, IA, and IS</b> documentation.</li><li>
Responsible for reviewing and approving unit test results.</li><li>
Experienced in supporting <b>UAT processes</b>, including acceptance validation and closure activities.</li></ul></div>

Senior ETL Developer

Acenet

<p><b>Experience:</b> 5 to 10 years<br/><b>Location:</b> Abu Dhabi</p><p><b>About Us:</b><br/>AceNet Consulting is a fast-growing global business and technology consulting firm leveraging a consultative approach, deep domain expertise and strong technology capabilities across business transformation, IT strategy &amp; architecture, digital transformation, data engineering &amp; analytics, AI/ML, cloud &amp; infrastructure, enterprise applications and emerging technologies to deliver value to our global clients. AceNet&rsquo;s marquee clients include Tier-1 and Tier-2 banking &amp; financial services, asset &amp; wealth management, healthcare, consumer retail, eCommerce &amp; logistics, engineering, government &amp; public sectors, consulting and technology firms. With presence across Abu Dhabi UAE, Texas USA and India (Bangalore, Gurgaon &amp; Pune), AceNet brings strong consulting and delivery capabilities across project staffing, managed services, outsourcing and offshoring.</p><p><b>Job Summary:</b><br/>We are looking for Purview Developer with a Data Engineering background specializes in implementing enterprise data governance, cataloguing, lineage, and compliance using Microsoft Purview, good to have understanding on data pipelines, Lakehouse&rsquo;s, warehouses, and analytics platforms.</p><p><b>Key Responsibilities and Role Requirements:</b><br/>*<b>Purview Developer with 5+ years of experience.</b><br/>*Design and implement Microsoft Purview (Classic &amp; Enterprise) solutions.<br/>*Configure enterprise data cataloguing, Metadata management, scanning, classification, sensitivity labels, glossary, Data quality and stewardship concepts.<br/>*Ability to map technical pipelines to business lineage.<br/>*Optimize metadata capture from real-world pipelines (not just auto-scan)<br/>*Implement PII detection, RBAC, data access / compliance policies, and governance workflows, Support regulatory compliance (PII, GDPR, HIPAA, etc.)<br/>*Support impact analysis and data discovery for business users.<br/>*Partner with Data Engineers, Architects, Security, and Compliance teams, Support audit, regulatory, and risk management initiatives.<br/>*Data quality and stewardship concepts.<br/>*Excellent communication and collaboration abilities.</p><p><b>Good to have:</b><br/><b>*</b><i><b>Integrate Purview with Microsoft Fabric for governed self-service analytics.</b></i><br/><i><b>*Enable end-to-end data lineage across Fabric Lakehouse, Warehouse, Synapse, SQL, ADLS, and Power BI.</b></i></p><p>Job Type: Full-time</p>

MS Purview Developer

Brainstorm Human Resource Consultant

<p><b>Electrical Site Engineer (Electrical &amp; ELV) &ndash; Abu Dhabi</b></p><p><b>Location:</b> Abu Dhabi</p><p><b>Job Description:</b></p><ul><li>Supervise electrical and ELV site works</li><li>Installation of lighting, power, fire alarm, CCTV, access control &amp; data systems</li><li>Coordinate with consultants and subcontractors</li><li>Ensure work as per drawings, specs &amp; safety standards</li><li>Prepare daily progress reports</li></ul><p><b>Requirements:</b></p><ul><li>4&ndash;5 years UAE experience in Electrical &amp; ELV works</li><li>Bachelor&rsquo;s Degree in Electrical Engineering</li><li>UAE Driving License (mandatory)</li><li>Strong knowledge of DEWA/ADDC standards</li><li>Good communication skills</li></ul><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>Your current salary, Expected salary &amp; Notice period?</li></ul><p>Experience:</p><ul><li>Site Engineer: 3 years (Required)</li><li>Electrical projects: 4 years (Required)</li><li>ELV projects: 3 years (Required)</li><li>working in UAE: 4 years (Required)</li></ul><p>License/Certification:</p><ul><li>UAE Driving license (Required)</li></ul>

Electrical Site Engineer (Electrical and ELV)

venusgroupuae

<p>We are looking for <b>Qa/QC Engineer with minimum of 2-3 years experience in UAE</b> to support infrastructure projects including roads &amp; highways, bridges &amp; tunnels, utilities (water, sewerage, drainage), and large-scale civil works.</p><p><b>Technical Skills</b></p><p>Strong proficiency in:</p><ul><li><b>MS Office (Excel, Word), QA software is a plus</b></li><li>Material inspections &amp; approvals</li><li>Site inspections &amp; audits</li><li>Reading and interpreting <b>drawing, specs and codes</b></li><li>Basic data analysis and reporting</li><li>Quality Management Systems (<b>QMS</b>)</li></ul><p>Experience in :</p><ul><li><b>MEP discipline</b></li><li>Inspection, testing and compliance monitoring</li><li>Handling quality reports and logs</li></ul><p>Requirements:</p><ul><li>Bachelor&rsquo;s degree in <b>Civil, Mechanical and Electrical Engineering</b></li></ul><p>Interested candidates can email their CV to <b>hr.venusinfrastructure@gmail.com</b> with the subject line <b>&quot;QA/QC ENGINEER&quot;</b></p><p><b>Selected candidates can join Immediately.</b></p><p>Job Type: Full-time</p><p>Pay: AED4,000.00 - AED6,000.00 per month</p>

QA/QC Engineer

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