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aws glue data engineer

Deeplight

<div>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.
We are seeking a skilled AWS Glue Data Engineer to join our Data Factory Squad, responsible for migrating source systems into the Lakehouse ingestion zone. This role focuses on building scalable ingestion pipelines, optimizing performance, and ensuring compliance with architectural and data assurance standards.
You will ideally have experience working in financial services with strong experience in AWS Glue, PySpark, and ETL pipeline development.
Your responsibilities as the AWS Glue Data Engineer will include:<ul>
<li>
Data Ingestion Development</li>
<li><ul><li>Building and implementing AWS Glue jobs for Bronze layer ingestion using defined standards and templates.</li>
<li>Implementing correct loading methods based on source requirements (CDC, full load, delta, snapshot).</li>
<li>Designing and executing historical loading mechanisms to bring legacy data into the Lakehouse.</li>
</ul></li><li>Performance Optimisation</li>
<li><ul><li>Optimising Glue job performance (DPU allocation, parallelization, partitioning) according to best practices.</li>
<li>Collaborating with platform teams to ensure tooling and optimization alignment.</li>
</ul></li><li>Migration &amp; Automation</li>
<li><ul><li>Aggressively migrating source tables to Bronze layer, initially using manual approaches with standards/templates, later leveraging AI-enabled acceleration.</li>
<li>Ensuring jobs are version-controlled and production deployment is automated via Git and Terraform.</li>
</ul></li><li>Governance &amp; Monitoring</li>
<li><ul><li>Implementing source system connectivity into CDP in collaboration with source system owners.</li>
<li>Ensuring jobs comply with data contracts and are properly monitored.</li>
<li>Preparing documentation and handover to operational support teams.</li>
</ul></li><li>Collaboration</li>
<li><ul><li>Working closely with Data Architect for ingestion patterns and standards.</li>
<li>Coordinating with Data Assurance Lead to apply quality checks across all jobs.</li>
<li>Partnering with platform engineers for tooling and optimisation.</li>
</ul></li>
</ul>Requirements
You will have experience in:<ul><li>
AWS Glue, PySpark, and ETL pipeline development;</li></ul><ul>
<li>substantial knowledge of Lakehouse architecture and Medallion design principles;</li>
<li>familiarity with CDC, delta loads, and historical data ingestion strategies; and;</li>
<li>5+ years experience in data engineering roles, with hands-on experience in AWS Glue.</li>
</ul>
You should also have knowledge of:<ul>
<li>
AWS services: Glue, S3, Athena, Lambda;</li>
<li>Git, Terraform for CI/CD automation;</li>
<li>data quality frameworks (e.g., Soda Core);</li>
<li>identifying ways to automate their work / repetitive tasks;</li>
<li>working in a fast-paced environment and deliver aggressive migration targets;</li>
<li>collaborating and communication with different stakeholder levels; and;</li>
<li>working with Jira and agile way of working.</li>
</ul>
As an AI consultancy, our greatest asset is the expertise of our people.
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.
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.
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.
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.
Benefits
Benefits &amp; Growth Opportunities:<ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul>
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.
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.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
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.</div>

AWS Glue Data Engineer

<div>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.
We are looking for a Data Assurance Lead to serve as the ultimate guardian of data trust across our clients' complex Lakehouse environments. In this high-impact consultancy role, you won't just monitor data; you will design, implement, and operationalize a robust Data Assurance Framework from the ground up. Utilizing Soda Core across the Medallion architecture (Bronze, Silver, Gold), you will define rigorous quality rules, automate data contracts, and integrate scorecards into OpenMetadata.
As a consultant, you are much more than a technical expert; you are a strategic advocate for data reliability. You must possess the communication mastery to &quot;sell&quot; the value of data assurance to stakeholders, lead cross-functional squads through aggressive migration targets, and embed a culture of quality within AWS Glue and Data Factory workflows. If you have 8+ years of experience&mdash;ideally within the Financial Services or Banking sectors&mdash;and thrive in fast-paced, Agile environments where you can automate the complex and influence the senior-most stakeholders, this is your next challenge.
Your responsibilities as the Data Assurance Lead include:<ul>
<li>
Data Quality Framework Implementation</li>
<li><ul><li>Implement Soda Core data quality checks across all Medallion layers (Bronze, Silver, Gold).</li>
<li>Define and maintain a data quality rules library, covering:</li>
<li><ul><li>Schema validation (completeness, uniqueness, data types)</li>
<li>Business rule validation (referential integrity, value ranges)</li>
<li>Reconciliation checks (source-to-target, row counts, checksums)</li>
<li>Freshness and timeliness SLAs as per data contracts 
</li></ul></li></ul></li><li>Automation &amp; Governance</li>
<li><ul><li>Implement automated data contracts using Soda and secure sign-off with producers and consumers.</li>
<li>Create automated validation and reconciliation processes.</li>
<li>Establish data quality scorecards in OpenMetadata, integrated with Soda.</li>
<li>Retrofit assurance checks across all live data flows.</li>
<li>Develop automated regression test suites for critical flows. 
</li></ul></li><li>Monitoring &amp; Incident Management</li>
<li><ul><li>Configure data quality alerts and thresholds.</li>
<li>Define escalation procedures for data incidents.</li>
<li>Collaborate with operational teams for alerting and monitoring.</li>
<li>Analyze data issues, implement countermeasures, and optimize check performance. 
</li></ul></li><li>Collaboration &amp; Training</li>
<li><ul><li>Work closely with Data Factory squads to embed data quality best practices.</li>
<li>Provide QA on Glue jobs to ensure compliance with the assurance framework.</li>
<li>Maintain comprehensive documentation and runbooks.</li>
<li>Train teams on data quality standards and tools.</li></ul></li> 
</ul> 
As an AI consultancy, our greatest asset is the expertise of our people. 
 
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. 
 
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. 
 
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. 
 
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.
Requirements
To be successful in this role, you should have:<ul>
<li>
strong experience with data quality frameworks and tools (Soda Core or similar).</li>
<li>hands-on experience with Lakehouse architectures and Medallion design.</li>
<li>proficiency in AWS services (S3, Glue, Athena) and data validation techniques.</li>
<li>Strong analytical and problem-solving skills.</li>
<li>8+ years experience in data engineering or data quality roles, with at least 3 years in data assurance leadership.</li>
</ul>
You will also have experience in:<ul>
<li>
identifying ways to automate their work / repetitive tasks.</li>
<li>dealing with data contracts, metadata management, and lineage tools (OpenMetadata preferred).</li>
<li>building automated validation and reconciliation pipelines.</li>
<li>communicating and stakeholder management.</li>
<li>leading cross-functional initiatives and drive adoption.</li>
<li>working in a fast-paced environment and deliver aggressive migration targets.</li>
<li>working with Jira and agile way of working.</li>
</ul>
Benefits
Working with Deeplight, you will have access to our great benefits which include:<ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul>
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.
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.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
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.</div>

Data Assurance Lead

<div>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.
Are you a data visionary who thrives at the intersection of complex architecture and strategic business value?
We are seeking a Data Modeler to spearhead the modernisation of enterprise data ecosystems. This is a high-impact consultancy role designed for an expert who can bridge the gap between low-level data engineering and high-level decision intelligence.
Your primary objective will be to design and implement scalable data models and semantic layers within Lakehouse architectures. You will go beyond traditional warehousing to build the &quot;connective tissue&quot; of the enterprise&mdash;designing robust Knowledge Graphs and Ontologies that enable seamless interoperability and advanced data discovery.
Your responsibilities as the Data Modeler will include:<ul>
<li>
Data Modeling</li>
<li><ul><li>Design conceptual, logical, and physical data models for Medallion architecture (Bronze, Silver, Gold layers).</li>
<li>Implement dimensional modeling for analytical layers.</li>
<li>Apply Slowly Changing Dimensions (SCD2) and historical tracking techniques.</li>
<li>Define and enforce naming conventions, metadata standards, and maintain model documentation. 
</li></ul></li><li>Semantic Layer &amp; Ontologies</li>
<li><ul><li>Design and implement a semantic layer to enable business-friendly data access and self-service analytics.</li>
<li>Work with advanced AI-tooling for semantic layer deployment and integration.</li>
<li>Develop and maintain ontologies and taxonomies to standardize business concepts across domains.</li>
<li>Ensure semantic consistency across data products and reporting layers. 
</li></ul></li><li>Knowledge Graph Development</li>
<li><ul><li>Build and maintain knowledge graphs to represent relationships between entities and enable advanced data discovery.</li>
<li>Integrate knowledge graph capabilities with Lakehouse metadata and lineage tools (e.g., OpenMetadata).</li>
<li>Collaborate with architects and platform engineers to ensure graph scalability and performance. 
</li></ul></li><li>Collaboration &amp; Governance</li>
<li><ul><li>Work closely with Data Architects to align models with Lakehouse design principles.</li>
<li>Partner with Data Engineers to ensure models are correctly implemented in Glue and Iceberg tables.</li>
<li>Collaborate with Data Quality teams to embed validation rules and ensure compliance. 
</li></ul></li></ul><ul><li>Optimisation &amp; Standards</li>
<li><ul><li>Ensure models support schema evolution, partitioning strategies, and performance optimisation.</li>
<li>Create reusable modeling templates and best practices for Data Factory squads.</li>
</ul></li>
</ul>As an AI consultancy, our greatest asset is the expertise of our people. 
 
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. 
 
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. 
 
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. 
 
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.
Requirements
To be successful in this role, you should have:<ul>
<li>
Strong experience in data modeling for Lakehouse or data warehouse environments.</li>
<li>Proficiency in semantic layer design, ontologies, and knowledge graph development.</li>
<li>Familiarity with AWS Glue, Apache Iceberg, and Medallion architecture.</li>
<li>Understanding of metadata management and lineage tools (OpenMetadata preferred).</li>
<li>7+ years in data modeling or data architecture roles.</li>
<li>Experience in semantic technologies, knowledge graphs, and financial services domain is a strong plus.</li>
</ul>
You will also have experience in:<ul>
<li>
Data modeling tools (ERwin, PowerDesigner, or similar).</li>
<li>Semantic layer tools (e.g., Zaimler, AtScale, or equivalent).</li>
<li>Knowledge graph frameworks (e.g., RDF, OWL, Neo4j, or similar).</li>
<li>Analytical and conceptual thinking.</li>
<li>communicating and stakeholder engagement abilities.</li>
<li>working in a fast-paced environment and deliver aggressive migration targets.</li>
<li>collaborating and communication with different levels of stakeholders.</li>
<li>working with Jira and agile way of working.</li>
</ul>
Benefits
Benefits &amp; Growth Opportunities:<ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul>
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.
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.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
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.</div>

Data Modeler

Charterhouse Middle East

<div>
 
 
 Competitive Salary, Plus Family Benefits
 
 
 
 
 
 
 Charterhouse is working with a Family Office based in Abu Dhabi that is seeking to hire a Security Engineer to join their Product Support &amp; Design Division. This is a unique opportunity to work in a forward-thinking, innovation-led environment and play a critical role in securing cutting-edge digital platforms.
 
 
 
 
 
 The Security Engineer will be responsible for securing cloud environments (AWS preferred) and containerized workloads, embedding security into Git-based CI/CD pipelines, and hardening Linux systems. The role includes designing and operating layered cloud security, implementing secure patterns for orchestration, and governing software supply chain integrity through artifact and package controls.
 
 
 
 
 
 This role will also integrate automated vulnerability checks across the SDLC, manage incident response including root-cause analysis and forensics, and build telemetry pipelines feeding SIEM for actionable detection and alerting.
 
 
 
 
 
 Additional responsibilities involve defining secure-by-default architectures, enforcing policy guardrails, conducting security trainings, and enabling developer teams with practical secure coding guidance. The Security Engineer will configure and optimize WAF/CDN protections, enforce software supply chain integrity through artifact governance and SBOMs, and develop DevSecOps automation to embed security checks and guardrails into pipelines.
 
 
 
 
 
 The ideal Security Engineer will have a Bachelor&rsquo;s degree in Computer Science, Information Security, or equivalent experience, and at least three years of experience in security engineering, application security, or DevSecOps delivering engineered controls at scale.
 
 
 
 
 
 Candidates must demonstrate proficiency in at least one modern scripting or programming language for automation and integrations, experience operating CI/CD and infrastructure as code with security controls baked into pipelines, and hands-on practice with SIEM, detection engineering, vulnerability assessment, and incident response.
 
 
 
 
 
 Familiarity with industry security frameworks and benchmarks, as well as an understanding of LLM security basics, is essential. Relevant certifications such as AWS Certified Security Specialty, OSCP or OSWE, CKS, and GIAC GCSA, GCIA or GCIH certifications are strongly preferred.
 
</div>

DevSecOps Engineer

Presight

<div>
 
 
 Position Overview
 
 
 
 
 
 
 Presight is looking for a Senior Full Stack Engineer who&rsquo;s hands-on with modern backend and frontend technologies. If you have solid experience in Node.js, React, Elasticsearch (or MongoDB), and containerized deployment using Kubernetes and Docker, this could be a great fit. You&rsquo;ll work on scalable systems, microservices, and data pipelines, contributing to products used at scale.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Design, develop, and maintain scalable backend services and frontend applications.
 </li>
 <li>
 Build user interfaces with React for high-performance, responsive experiences.
 </li>
 <li>
 Implement and optimize backend APIs and microservices using Node.js.
 </li>
 <li>
 Work with Elasticsearch or MongoDB for efficient data storage, retrieval, and indexing.
 </li>
 <li>
 Deploy, manage, and monitor services in Kubernetes and Docker-based production environments.
 </li>
 <li>
 Integrate CI/CD pipelines for automated testing, deployment, and quality control
 </li>
 <li>
 Collaborate with cross-functional teams to design and deliver end-to-end solutions.
 </li>
 <li>
 Work with large file storage systems
 </li>
 <li>
 Contribute to system performance tuning, monitoring, and troubleshooting using tools like Prometheus and Grafana.
 </li>
 <li>
 Comply with QHSE (Quality Health Safety and Environment), Business Continuity, Information Security, Privacy, Risk, Compliance Management, and Governance of Organizations policies, procedures, plans, and related risk assessments.
 </li>
 </ul>
 
 
 
 
 Requirements:
 
 
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor's Degree in Information Technology, Computer Science, Engineering or related field
 </li>
 <li>
 Master&rsquo;s degree preferred.
 </li>
 </ul>
 
 
 
 
 
 Experience:
 
 
 <ul>
 <li>
 Minimum 7 years of experiences in software development with strong computer science fundamentals
 </li>
 <li>
 +5 years of experience in building enterprise or large-scale applications
 </li>
 <li>
 Strong experience with Node.js and React (TypeScript preferred)
 </li>
 <li>
 Hands-on with Elasticsearch or MongoDB
 </li>
 <li>
 Comfortable working with Docker and Kubernetes in production environments
 </li>
 <li>
 Good understanding of CI/CD pipelines and automation
 </li>
 <li>
 Experience with AWS S3 or similar large file storage/retrieval systems
 </li>
 <li>
 Familiarity with authentication protocols (JWT, OAuth2, etc.)
 </li>
 <li>
 Working knowledge of message queues like Kafka, RabbitMQ, or cloud-native MQ tools
 </li>
 <li>
 Strong in designing APIs and distributed systems
 </li>
 </ul>
 
 
</div>

Full Stack Engineer

Arabian Construction Co.

<div>
 
 QA/QC Engineer - Mechanical Responsible for planning, implementing, and monitoring quality assurance and control activities on Oil &amp; Gas projects to ensure compliance with client specifications and international standards. Supports quality management by coordinating inspections, audits, non-conformance handling, and training to maintain high-quality project deliverables.
 
 
 
 
 Key Accountabilities:
 
 
 
 <ul>
 
 <li>
 Review project specifications and assess QA/QC requirements
 </li>
 
 <li>
 Develop and obtain approval for Quality Plans, Procedures, and Inspection Test Plans
 </li>
 
 <li>
 Assist Quality Manager with daily quality activities, reporting, and meetings
 </li>
 
 <li>
 Address and monitor quality issues; manage NCRs and CARs
 </li>
 
 <li>
 Liaise with client, contractor, and third-party inspectors on welding documentation and NDT reports
 </li>
 
 <li>
 Supervise QA/QC inspectors and coordinate interdepartmental QA/QC tasks
 </li>
 
 <li>
 Organize quality inspections, maintain inspection records, and ensure compliance with specifications and codes
 </li>
 
 <li>
 Review Material Test Certificates for conformity
 </li>
 
 <li>
 Manage document control and distribution
 </li>
 
 <li>
 Maintain equipment calibration records
 </li>
 
 <li>
 Conduct audits on subcontractors, vendors, and departments
 </li>
 
 <li>
 Provide quality training for workforce
 </li>
 
 <li>
 Prepare technical queries, concession requests, and quality documentation completion
 </li>
 
 </ul>
 
 
 
 Required Qualifications &amp; Competencies:
 
 
 
 <ul>
 
 <li>
 Bachelor of Engineering (BE) or Bachelor of Technology (B. Tech.) in Mechanical &amp; Metallurgy or related field.
 </li>
 
 </ul>
 
 <ul>
 
 <li>
 Minimum 8+ years of experience as a Quality Engineer in the Oil &amp; Gas industry, demonstrating strong leadership and communication skills.
 </li>
 
 <li>
 CSWIP 3.1 or equivalent certification.
 </li>
 
 <li>
 ISO 9001 Internal/Lead Auditor certified.
 </li>
 
 <li>
 ASME Level II certification in Radiographic Testing (RT), Penetrant Testing (PT), Magnetic Particle Testing (MT), Ultrasonic Testing (UT).
 </li>
 
 <li>
 Thorough understanding and application of all relevant welding processes, techniques, and their industrial applicability.
 </li>
 
 <li>
 Expertise in standards and codes including ASME, API, AWS, ASTM, and other international quality standards.
 </li>
 
 <li>
 Ability to accurately interpret technical drawings, isometrics, and related documentation.
 </li>
 
 <li>
 Familiarity with Oil &amp; Gas-specific Health, Safety, and Environmental (HSE) requirements, work practices, and quality standards.
 </li>
 
 <li>
 Proven ability to coordinate QA/QC activities with Clients, Contractors, and Third-Party Inspectors (TPI).
 </li>
 
 <li>
 Skilled in managing NDT subcontractors and overseeing subcontractor quality control processes.
 </li>
 </ul>
</div>

QA/QC Mechanical Engineer

Target Engineering Construction Co LLC

<div>
 
 
 Lead QA/QC Engineer (Mechanical)
 
 
 
 We are seeking an experienced Lead Quality Control (QC) Engineer specializing in Mechanical Inspection to join our team for major EPC (Engineering, Procurement, and Construction) projects in the oil and gas industry. The ideal candidate will lead the mechanical QC team, ensuring compliance with project specifications, international standards, and client requirements.
 
 
 
 
 
 
 Who We are?
 
 
 
 Target Engineering brings 50+ years of experience in EPC and industrial infrastructure. With in-house fabrication, marine expertise, and multidisciplinary capability, we deliver projects with scale, confidence, and care.
 
 
 
 
 
 
 Why Join Us?
 
 
 
 At Target Engineering, you&rsquo;ll work on large-scale energy, marine, and civil infrastructure projects. Join a business with deep technical roots, where your voice is heard, your impact is visible, and your career is part of a legacy of excellence.
 
 
 
 
 
 
 Your Role
 
 
 
 As
 
 Lead QA/QC Engineer
 
 , you will:
 
 <ul>
 <li>
 Lead and supervise QC activities for mechanical systems, piping, pressure vessels, and structural components.
 </li>
 <li>
 Review and approve inspection plans, ITPs, and welding procedures.
 </li>
 <li>
 Conduct and oversee inspections in accordance with ASME, API, and project codes.
 </li>
 <li>
 Coordinate with QA/QC, engineering, and construction teams to resolve technical issues.
 </li>
 <li>
 Ensure proper documentation and reporting for all QC activities.
 </li>
 <li>
 Drive continuous improvement in quality processes and compliance.
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 
 Experience:
 
 Minimum 15 years of experience in with extensive exposure to Oil &amp; Gas EPC fabrication projects in a lead role.
 </li>
 <li>
 
 Education:
 
 Bachelor&rsquo;s Degree in Engineering (Mechanical or related Engineering discipline)
 </li>
 <li>
 
 Qualifications:
 
 ISO 9001-2015 QMS Lead Auditor; ASNT Level II, CSWIP 301, AWS-CWI, NACCE Level II/III
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 <ul>
 <li>
 The chance to contribute to some of UAE&rsquo;s Oil and Gas EPC Mega projects.
 </li>
 <li>
 A collaborative, supportive environment that values innovation and excellence.
 </li>
 <li>
 Opportunities for professional growth and career progression.
 </li>
 <li>
 Competitive salary and benefits package.
 </li>
 </ul>
 
 
 
 
 
 Ready to be part of our team?
 
 
 
 If you&rsquo;re inspired by what you&rsquo;ve read and believe you&rsquo;re the right fit, we&rsquo;d love to hear from you.
 
 
 
 
 
 Join Target Engineering and Construction Co. LLC and play a pivotal role in shaping a high-performing team that drives our success.
 
 
 
 
 
 Apply today and be part of something excellent!
 
 
 
 
 
 Candidates are encouraged to apply directly to our careers portal : https://apps.target.ae/ords/f?p=149:6
 
 
 
</div>

Lead QA/QC Engineer

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