civil engineer

planning engineer

project engineer

estimation engineer

sales engineer

data engineer

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We are seeking a Senior Data Engineer with strong hands-on expertise in Databricks, PySpark, and cloud-based data platforms to support the development, migration, and optimization of our enterprise data platform within the investment domain.<br>
This role will focus on building and maintaining scalable data pipelines and lakehouse data models that support investment analytics, portfolio management, risk analysis, and trading data workflows.<br>
The successful candidate will work closely with data engineers, quantitative analysts, and investment stakeholders to deliver high-quality, reliable, and performant data solutions. Experience with financial datasets such as market data, portfolio holdings, transactions, pricing data, and risk metrics is highly valuable.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Key Responsibilities:
</p></div><div><p>Develop and maintain scalable data pipelines and transformation workflows using Databricks, PySpark, and SQL.
</p></div><div><p>Support the migration of datasets, pipelines, and transformation logic from Palantir Foundry to Databricks Delta Lake.
</p></div><div><p>Work with investment and financial datasets, including market data, portfolio positions, transactions, pricing data, and risk metrics.
</p></div><div><p>Build and maintain ETL/ELT pipelines that enable data availability for investment analytics, reporting, and portfolio management systems.
</p></div><div><p>Implement data validation, reconciliation, and quality frameworks to ensure financial data accuracy and consistency.
</p></div><div><p>Optimize Spark jobs, cluster configurations, and storage formats to improve performance and cost efficiency.
</p></div><div><p>Maintain data lineage, documentation, and governance practices to meet financial industry standards.
</p></div><div><p>Support monitoring, troubleshooting, and performance tuning of production data pipelines.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Mandatory Skills:
</p></div><div><p>Advanced Databricks Experience. Deep knowledge of Databricks architecture, Delta Lake, job orchestration, cluster management, and performance tuning.
</p></div><div><p>Experience working with investment data, such as market data, portfolio holdings, transactions, pricing data, risk metrics, and financial instruments
</p></div><div><p>Expert-Level PySpark &amp; Python Skills. Strong ability to design, optimize, and refactor distributed data processing workflows.
</p></div><div><p>Advanced SQL &amp; Data Modelling Expertise. Experience in dimensional modeling, lakehouse architecture patterns, and query optimization.
</p></div><div><p>Cloud Platform Experience (Azure preferred). Hands-on experience deploying and managing data platforms in cloud environments, including storage, security, and networking considerations.
</p></div></div><p>Nice to have
</p><div><div><p>Strong Hands-on Expertise in Palantir Foundry. Proven experience with Foundry pipelines, ontologies, data lineage, transformations, and platform governance.
</p></div><div><p>Proven Migration Experience from Palantir / to Databricks. Demonstrated experience leading or executing platform migrations, including pipeline conversion, data model redesign, and production cutover.
</p></div><div><p>Familiarity with Dynatrace or Datadog for system observability and monitoring.
</p></div><div><p>Databricks certification, cloud certifications (Azure/AWS), or enterprise data architecture certifications.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C1 Advanced
</p></div></div><div><div><p>Seniority</p>
<p>Senior</p></div></div></div></div></div>
<br><div><div><div><p>Abu Dhabi, United Arab Emirates
</p></div><p>Req. VR-121533
</p></div><div></div><div><div><p>Other Consulting
</p></div><div><p>BCM Industry</p>
</div><div><p>31/03/2026
</p></div><div><p>Req. VR-121533</p></div></div></div><p></p>

Senior Databricks Data Engineer

Emirates Investment Authority

<div>Purpose<p></p><p><br>
The Data / Oracle Engineer is responsible for designing, developing, maintaining, and optimizing enterprise data platforms and Oracle-based systems that support business applications, reporting, analytics, and digital initiatives across the organization. An ideal candidate will have hands-on experience supporting databases, cloud infrastructure, and enterprise applications within an Oracle Cloud environment.</p><p></p><p><br>
The role provides hands-on technical expertise in Oracle databases, data engineering, integrations, and performance optimization, ensuring data availability, integrity, security, and scalability. Operating within a sovereign wealth fund environment, the role requires strong technical discipline, documentation rigor, and adherence to governance and change management standards.</p>
 <b>Core Responsibilities</b><b>1. Oracle Database Engineering &amp; Administration</b><ul><li>Design, implement, and support <b>Oracle database environments</b> across development, test, and production.</li><li>Perform database administration tasks including installation, configuration, patching, upgrades, backup, and recovery.</li><li>Monitor database performance and availability, conduct tuning, and resolve complex performance issues.</li><li>Implement high availability and disaster recovery solutions (e.g., Data Guard, RMAN, Autonomous Database, Exadata, OCI Load Balancer).</li></ul><b>
2. Data Engineering &amp; Integration</b><ul><li>Design and develop <b>data pipelines, ETL/ELT processes</b>, and integrations between Oracle databases and enterprise applications.</li><li>Design and implement Oracle Fusion use cases in response to evolving business requirements across HR, Finance, and other functional domains.
</li><li>Support data ingestion from multiple sources including ERP, HR, finance, and business systems.</li><li>Develop and maintain data models, schemas, and transformations to support reporting and analytics needs.</li><li>Ensure data consistency, accuracy, and reconciliation across systems.</li></ul><b>
3. Analytics &amp; Insights</b><p>
. Support enterprise analytics solutions across Oracle Cloud and Oracle Fusion environments (e.g., Oracle Analytics Cloud, Fusion Analytics Warehouse).<br>
. Design and maintain analytical data models, dashboards, and reports to support business decision-making across HR, Finance, and other domains.<br>
. Enable data integration and ingestion from Oracle Fusion and OCI sources into analytics platforms using standard Oracle tools and services.</p><p></p><b><br>
4. Performance, Reliability &amp; Optimization</b><ul><li>Proactively identify and resolve data and database performance bottlenecks.</li><li>Optimize SQL queries, PL/SQL procedures, indexing strategies, and data structures.</li><li>Support capacity planning and growth forecasting for data platforms.</li><li>Ensure system stability and minimize downtime through proactive monitoring.</li></ul><b>
5. Security, Governance &amp; Compliance</b><ul><li>Implement database security controls including access management, encryption, auditing, and segregation of duties.</li><li>Ensure compliance with internal IT governance, data security standards, and audit requirements.</li><li>Maintain accurate technical documentation, configuration records, and change logs.</li><li>Support internal and external audits by providing technical evidence and documentation.</li></ul><p></p><b><br>
6. Cloud, Automation &amp; Modernization</b><ul><li>Support Oracle solutions in<b> Oracle cloud environments</b>.</li><li>Automate database and data operations using scripting and tooling where appropriate.</li><li>Support modernization initiatives such as data platform upgrades, system consolidation, and integration with analytics platforms.</li></ul><b>
7. Incident, Change &amp; Support</b><ul><li>Participate in incident resolution, root cause analysis, and problem management for data and database issues.</li><li>Execute approved changes in accordance with change management procedures.</li><li>Provide second- and third-level support for Oracle and data-related issues.</li></ul><b><br>
Requirements</b><br>
<br>
<b>Education &amp; Qualifications</b><ul><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, Engineering, or a related field.</li><li>Oracle certifications such as OCI Foundations Associate, OCI Integration Cloud Professional, Autonomous Database Cloud Professional or data engineering certifications are an advantage.</li></ul><b>
Experience Requirements</b><ul><li><b>7&ndash;10 years</b> of experience in Oracle database administration and data engineering roles.</li><li>Strong experience working with enterprise Oracle environments in <b>financial services, government, or high-availability organizations</b> preferred.</li><li>Proven experience supporting mission-critical systems and data platforms.</li><li>Experience working in structured IT environments with strong governance and change control.</li></ul><b>
Technical Expertise / Skills / Knowledge</b><ul><li>Strong expertise in <b>Oracle Fusion Environment</b>, SQL, PL/SQL, performance tuning, and backup/recovery.</li><li>Experience with data integration tools, ETL frameworks, and data pipelines.</li><li>Knowledge of data modeling, reporting, and analytics enablement.</li><li>Familiarity with Linux/Unix environments and scripting (Shell, Python, etc.).</li><li>Experience with cloud-based data platforms or Oracle Cloud Infrastructure is an advantage.</li></ul><p>
. Strong troubleshooting, documentation, and communication skills.</p></div>

Data/ Oracle Engineer

<div>
 <strong>
  Purpose
  <br/>
  <br/>
 </strong>
 The Data / Oracle Engineer is responsible for designing, developing, maintaining, and optimizing enterprise data platforms and Oracle-based systems that support business applications, reporting, analytics, and digital initiatives across the organization. An ideal candidate will have hands-on experience supporting databases, cloud infrastructure, and enterprise applications within an Oracle Cloud environment.
 <br/>
 <br/>
 The role provides hands-on technical expertise in Oracle databases, data engineering, integrations, and performance optimization, ensuring data availability, integrity, security, and scalability. Operating within a sovereign wealth fund environment, the role requires strong technical discipline, documentation rigor, and adherence to governance and change management standards.
 <br/>
 <br/>
 <strong>
  Core Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Oracle Database Engineering &amp; Administration
  </li>
  <li>
   Design, implement, and support Oracle database environments across development, test, and production
  </li>
  <li>
   Perform database administration tasks including installation, configuration, patching, upgrades, backup, and recovery
  </li>
  <li>
   Monitor database performance and availability, conduct tuning, and resolve complex performance issues
  </li>
  <li>
   Implement high availability and disaster recovery solutions (e.g., Data Guard, RMAN, Autonomous Database, Exadata, OCI Load Balancer)
  </li>
  <li>
   Data Engineering &amp; Integration
  </li>
  <li>
   Design and develop data pipelines, ETL/ELT processes, and integrations between Oracle databases and enterprise applications
  </li>
  <li>
   Design and implement Oracle Fusion use cases in response to evolving business requirements across HR, Finance, and other functional domains
  </li>
  <li>
   Support data ingestion from multiple sources including ERP, HR, finance, and business systems
  </li>
  <li>
   Develop and maintain data models, schemas, and transformations to support reporting and analytics needs
  </li>
  <li>
   Ensure data consistency, accuracy, and reconciliation across systems
  </li>
  <li>
   Analytics &amp; Insights
  </li>
  <li>
   Support enterprise analytics solutions across Oracle Cloud and Oracle Fusion environments (e.g., Oracle Analytics Cloud, Fusion Analytics Warehouse)
  </li>
  <li>
   Design and maintain analytical data models, dashboards, and reports to support business decision-making across HR, Finance, and other domains
  </li>
  <li>
   Enable data integration and ingestion from Oracle Fusion and OCI sources into analytics platforms using standard Oracle tools and services
  </li>
  <li>
   Performance, Reliability &amp; Optimization
  </li>
  <li>
   Proactively identify and resolve data and database performance bottlenecks
  </li>
  <li>
   Optimize SQL queries, PL/SQL procedures, indexing strategies, and data structures
  </li>
  <li>
   Support capacity planning and growth forecasting for data platforms
  </li>
  <li>
   Ensure system stability and minimize downtime through proactive monitoring
  </li>
  <li>
   Security, Governance &amp; Compliance
  </li>
  <li>
   Implement database security controls including access management, encryption, auditing, and segregation of duties
  </li>
  <li>
   Ensure compliance with internal IT governance, data security standards, and audit requirements
  </li>
  <li>
   Maintain accurate technical documentation, configuration records, and change logs
  </li>
  <li>
   Support internal and external audits by providing technical evidence and documentation
  </li>
  <li>
   Cloud, Automation &amp; Modernization
  </li>
  <li>
   Support Oracle solutions in Oracle cloud environments
  </li>
  <li>
   Automate database and data operations using scripting and tooling where appropriate
  </li>
  <li>
   Support modernization initiatives such as data platform upgrades, system consolidation, and integration with analytics platforms
  </li>
  <li>
   Incident, Change &amp; Support
  </li>
  <li>
   Participate in incident resolution, root cause analysis, and problem management for data and database issues
  </li>
  <li>
   Execute approved changes in accordance with change management procedures
  </li>
  <li>
   Provide second- and third-level support for Oracle and data-related issues
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  <strong>
   Education &amp; Qualifications
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field
  </li>
  <li>
   Oracle certifications such as OCI Foundations Associate, OCI Integration Cloud Professional, Autonomous Database Cloud Professional or data engineering certifications are an advantage
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   7-10 years of experience in Oracle database administration and data engineering roles
  </li>
  <li>
   Strong experience working with enterprise Oracle environments in financial services, government, or high-availability organizations preferred
  </li>
  <li>
   Proven experience supporting mission-critical systems and data platforms
  </li>
  <li>
   Experience working in structured IT environments with strong governance and change control
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technical Expertise / Skills / Knowledge
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong expertise in Oracle Fusion Environment, SQL, PL/SQL, performance tuning, and backup/recovery
  </li>
  <li>
   Experience with data integration tools, ETL frameworks, and data pipelines
  </li>
  <li>
   Knowledge of data modeling, reporting, and analytics enablement
  </li>
  <li>
   Familiarity with Linux/Unix environments and scripting (Shell, Python, etc.)
  </li>
  <li>
   Experience with cloud-based data platforms or Oracle Cloud Infrastructure is an advantage
  </li>
  <li>
   Strong troubleshooting, documentation, and communication skills
  </li>
 </ul>
</div>


ADGM

<p>Maseera&rsquo;s AI and Big Data Center of Excellence covers the range of Data and AI skills, from Strategy, Governance, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Maseera&rsquo;s broader Strategy and professional practice, we are bringing together the unique ability to drive end-to-end business change through the application of Data and AI. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways.</p><p>If you&rsquo;re looking for a challenging career while working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be based in Abu Dhabi, and you&rsquo;ll be working with cutting-edge technologies, and you will have the opportunity to develop a wide range of new skills on the job.</p><p>In our team you will:</p><ul><li>Be at the forefront of the Fintech industry, and you&rsquo;ll create, own and make it a reality for our subsidiaries looking to better serve their customers.</li><li>Become an integral part of our Data and AI team with the credibility, expertise and dependable insights.</li><li>Develop your skills with our world class training programmes.</li><li>Drive and implement real world solutions into production that drive business value across our company.</li><li>Work alongside global teams to collaborate and deliver the best solutions for our customers.</li><li>Drive your career progression via our structured career development programs.</li></ul><p>In this role you will:</p><ul><li>Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics.</li><li>Understand business requirements and support the development of business cases.</li><li>Run discovery analytics to identify new and innovative opportunities.</li><li>Partner with developers and engineers to deploy machine learning algorithms to deliver business value.</li><li>Define approaches to embed and scale machine learning models.</li><li>Build reusable assets and solutions and develop best practices for current and future business problems.</li><li>Communicate and provide guidance to senior leadership and teams.</li><li>Contribute data science expertise to new enterprise activities.</li><li>Shape DS Strategy and the delivery of DS solutions.</li><li>Operate across Headquarter and multiple subsidiaries.</li><li>Develop others by bringing your unique knowledge and skill sets to the wider practice.</li></ul><p>We are looking for:</p><ul><li>B.Sc./Master/PhD in computer science, data science, AI or relevant field</li><li>Relevant work experience in data science, machine learning, and business analytics</li><li>Practical experience in coding languages e.g. Python, R, Scala, etc.; (Python preferred)</li><li>Proficiency in database technologies e.g. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc.</li><li>Experienced working with structured and also unstructured data e.g. Text, PDFs, jpgs, call recordings, video, etc.</li><li>Knowledge of machine learning modelling techniques and how to fine-tune those models e.g. XGBoost, Deep Neural Networks, Transformers, Markov chains, etc.</li><li>Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, hugging face, etc.</li><li>Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge.</li><li>Experience of using Cloud technologies e.g. AWS, GCP or Azure.</li><li>Specialised visualisation techniques e.g. D3.js, ggplot etc.</li><li>Strong verbal/written communication &amp; data presentation skills</li><li>Awareness of Large Language Models (LLMs) and a strong enthusiasm for continuous learning and staying updated with the latest advancements in the field</li></ul><p><b>Set yourself apart:</b></p><ul><li>Willingness and ability to learn quickly and apply creative thinking to finding great solutions and drive their implementation</li><li>Ability to successfully build relationships with customers and stakeholders</li><li>Mastery of problem solving and solutioning</li><li>Proven history and background in Fintech Industry</li></ul><p>Job Type: Full-time</p><p>Pay: From AED25,000.00 per month</p>

Data Scientist

Thales

<div>
 Location: Abu Dhabi, United Arab Emirates
 <br/>
 <br/>
 Thales people architect solutions that enable two-thirds of planes to take off and land safely. We create in-flight entertainment systems that engross 50 million fliers every year and we develop the avionics that control the world&rsquo;s largest commercial aircrafts. Our simulators train the next generation of pilots for fighter jets, transporters and search and rescue helicopters. And, together, each and every member of our aerospace team makes a difference.
 <br/>
 <br/>
 Thales has built a presence in the United Arab Emirates for over 35 years, and today has over 300 employees. Thales in the UAE is part of our Middle East business that has 1,800 people across Egypt, Iraq, Kuwait, KSA, Lebanon, Oman, Pakistan, Qatar and UAE. Together we delivered technology for the Dubai metro, the longest driverless metro network in the world and a fare collection system that processes up to 250,000 transactions per day. We make UAE a safer place by providing secure electronic payment solutions, cyber security systems and communications as well as security systems for Dubai International Airport and air traffic management and navigation systems for Abu Dhabi&rsquo;s airport.
 <br/>
 <br/>
 Thales AGS Trading is a specialized division within the Thales Group, operating in the aviation aftermarket with a core focus on Used Serviceable Material (USM). AGS Trading aims to deliver a premium service solution, which offers airlines, MROs, and other aviation stakeholders, a cost-effective solution to maintain their fleet in operational condition by selling serviceable high-quality aircraft components for commercial programs.
 <br/>
 <br/>
 Operating in a fast-paced and competitive trading environment, AGS Trading team leverages data to drive agility, efficiency, and customer satisfaction.
 <br/>
 <br/>
 This position of Enterprise Data Lead is based in Abu Dhabi, UAE and reports to the General Manager of AGS Trading.
 <br/>
 <br/>
 The position owner will:
 <br/>
 <br/>
 <ul>
  <li>
   Work closely with procurement, supply chain, finance, sales, compliance, and IT, as well as with external vendors and implementation partners.
  </li>
 </ul>
 <ul>
  <li>
   Act as the central point of accountability for the Thales AGS Trading data ecosystem, covering ERP administration, data platforms, data analytics, integrations, and governance:
  </li>
  <ul>
   <li>
    Overseeing of system configuration, user access, and data integrity, while coordinating with ERP vendor technical support to resolve incidents, deploy fixes, and manage upgrades
   </li>
   <li>
    Ensuring smooth change management through UAT, testing, and compliance with internal controls.
    <br/>
    <br/>
    <br/>
    <br/>
   </li>
  </ul>
 </ul>
 <ul>
  <li>
   Engage stakeholders to understand priorities, translate them into scalable solutions, and ensure the timely delivery of reliable insights.
  </li>
  <ul>
   <li>
    Driving cross-functional collaboration to align data initiatives with business outcomes, strengthen governance and data quality.
   </li>
   <li>
    Promotion of continuous improvement through automation, knowledge sharing, and best practices.
    <br/>
    <br/>
    <br/>
   </li>
  </ul>
 </ul>
 <strong>
  Roles &amp; Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Acting as the strategic owner of enterprise data systems, ensuring all platforms are maintained and evolved in alignment with business requirements. Provide leadership in shaping the overall data ecosystem and driving its continuous improvement.
  </li>
  <li>
   Overseeing ERP administration
  </li>
  <ul>
   <li>
    Manage user access controls, cloud-based system configurations, and data extraction using SQL queries across key modules (Inventory Management, Accounting, Sales, Procurement, Repair, etc.).
   </li>
   <li>
    Build and maintain Event Managers within the ERP that send timely alerts and notifications to relevant users.
   </li>
   <li>
    Build and maintain custom ERP forms (such as Customer Quote, Sales Order Acknowledgment, Purchase Order, Financial Invoice, Custom Invoice etc.) that are actively used by relevant teams during day-to-day operations.
   </li>
   <li>
    Use the Screen Editor tool to apply regulations and field-level controls within ERP that ensure the system interface aligns with business requirements.
   </li>
   <li>
    Verify bulk data accuracy and perform imports into the ERP,
   </li>
   <li>
    Actively collaborate with the Technical Support team to resolve critical issue in a timely manner.
    <br/>
    <br/>
    <br/>
    <br/>
   </li>
  </ul>
 </ul>
 <ul>
  <li>
   Collaboration with internal cross-functional stakeholders to gather business requirements, translate them into data driven solutions that supports operational excellence and strategic goals.
  </li>
  <li>
   Designing, developing, enhancing, and maintenance of:
  </li>
  <ul>
   <li>
    Automated pipelines (using SQL/Python) and workflows to fetch and integrate raw data from multiple sources in real time into various reports and decision-making tools.
   </li>
   <li>
    Dashboards and predictive models that translate complex data into insights, which provide decision-making, cross-functional support.
   </li>
  </ul>
  <li>
   Creation and maintenance of comprehensive documentation, training materials, and structured knowledge repositories to enable smooth adoption of PBI reports and dashboards. Delivery of training sessions and knowledge transfer programs to build capability and ensure business continuity.
  </li>
  <li>
   Leading Procurement Campaigns and FMV Analytics by managing end-to-end campaign activities including launching campaigns, consolidating and cleaning supplier responses, updating dashboard with validated data, and applying advanced analytical model forecast FMV. Import campaign data and FMV outputs into the ERP within relevant modules/fields to ensure seamless integration and visibility for the users.
  </li>
  <li>
   Leading digital transformation and modernization initiatives (AGS Trading Marketplace &amp; Cloud Migration) to improve processes efficiency ensure data security, workflow optimization, and automation.
  </li>
  <li>
   Collaboration with:
  </li>
  <ul>
   <li>
    Trade Compliance, Export Control department and CRM tech support team to ensure full compliance across Trading operations (Company/PN validation and approval).
   </li>
   <li>
    IS/IT Team to safeguard Thales IT policies and regulatory requirements while mitigating risks associated with data integrity and security.
   </li>
  </ul>
  <li>
   Overseeing data quality frameworks by establishing clear processes within ERP ensuring clean and reliable data
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Education:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s or master&rsquo;s degree in data science, Computer Science, Engineering, or related field.
  </li>
  <li>
   8&ndash;10 years of professional experience in data engineering, ERP systems, and data analytics.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technical Skills:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Languages &amp; Frameworks: Python, SQL, PySpark, DAX
  </li>
  <li>
   Data Engineering: ETL Pipelines, Data Modeling, Data Integration, API (REST/GraphQL), Talend
  </li>
  <li>
   Databases: Oracle, SQL Server
  </li>
  <li>
   Business Intelligence: Power BI, Tableau
  </li>
  <li>
   ERP Systems: Oracle-based ERP (Quantum Control) &ndash; Configuration, Administration, and Integration
  </li>
  <li>
   Cloud Platforms: Microsoft Azure
  </li>
  <li>
   Advanced Analytics: Predictive Modeling, Statistical Analysis, Machine Learning Algorithms
  </li>
  <li>
   Automation &amp; Tools: Power Automate, Event Manager
  </li>
  <li>
   Data Governance: Data Quality Management, Validation Rules
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong understanding of procurement, supply chain, finance, and sales functions
  </li>
  <li>
   Ability to bridge business requirements with technical solutions
  </li>
  <li>
   Excellent stakeholder engagement, communication, and presentation skills
  </li>
  <li>
   Result-oriented mindset with the ability to deliver under pressure and tight deadlines
  </li>
  <li>
   Demonstrated experience working in diverse, cross-functional, and multicultural Team
  </li>
  <li>
   Experience in the aerospace industry or trading domain is an advantage
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working. Great journeys start here, apply now!
</div>


Enterprise Data Lead

KBR, Inc.

<div>
 <strong>
  Title
  <br/>
  <br/>
 </strong>
 Specialist Engineer (Reliability)
 <br/>
 <br/>
 <strong>
  Specialist Engineer
 </strong>
 (Reliability)
 <br/>
 <br/>
 <ul>
  <li>
   Mechanical (Rot &amp; Static) / Instrumentation (I&amp;C, F&amp;G, Telecom) / Process Engineering &amp; Process Safety
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Division
  <br/>
  <br/>
 </strong>
 KBR is looking for Specialist Engineers to support the SMS Reliability Analysis Services Project, Adnoc, Abu Dhabi
 <br/>
 <br/>
 <strong>
  Summary
  <br/>
  <br/>
 </strong>
 Expert in a specific area of engineering, often with extensive experience and knowledge in that field. Ability to interpret asset performance data and present findings to stakeholders.
 <br/>
 <br/>
 Lead and perform Reliability, Availability, Maintainability (RAM) analysis for plant systems and equipment across ADNOC assets.
 <br/>
 <br/>
 Monitor and assess key performance indicators such as MTTR, MTBF, Availability, and other reliability indices through validated data sources (e.g., SAP, Maximo).
 <br/>
 <br/>
 Develop, validate, and optimize equipment-specific maintenance strategies and preventive maintenance programs using RCM, FMEA/FMECA, including asset criticality assessment, and ensuring alignment with ADNOC Offshore policies, safety requirements (SIL), and industry best practices.
 <br/>
 <br/>
 Facilitate and lead Root Cause Analyses (RCAs) and provide structured recommendations to prevent recurrence of failures.
 <br/>
 <br/>
 Review existing preventive maintenance (PM) history and execution data to re-engineer and optimize PM strategies for effectiveness, efficiency, and alignment with actual field practices.
 <br/>
 <br/>
 <strong>
  Experience
  <br/>
  <br/>
 </strong>
 Minimum 12 years of Extensive experience in RAM analysis, measurement of reliability, facilitation of RCAs and FMEA/RCMs, PM optimization, and asset criticality preferably with Adnoc or other major operators. Offshore experience is a plus.
 <br/>
 <br/>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelors or masters degree in mechanical, Electrical, Control, Corrosion, Metallurgy process or related Engineering field.
  </li>
  <li>
   CRE - Certified Reliability Engineer
  </li>
  <li>
   CMRP &ndash; Certified Maintenance and Reliability Professional
  </li>
  <li>
   Certified Oil and Gas Maintenance Engineer
  </li>
  <li>
   Certification in the field of Reliability Engineering from reputed organization / Societies
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Decarbonization &ndash; Energy Transition &ndash; Sustainability
  <br/>
  <br/>
 </strong>
 <strong>
  Belong. Connect. Grow. with KBR!
  <br/>
  <br/>
 </strong>
 <strong>
  R2112851
 </strong>
</div>


Specialist Engineer (Reliability)

<div>
 <strong>
  Title
  <br/>
  <br/>
 </strong>
 Senior Engineer (Reliability)
 <br/>
 <br/>
 <strong>
  Senior Engineer
 </strong>
 (Reliability)
 <br/>
 <br/>
 <strong>
  Mechanical
 </strong>
 (Rot &amp; Static) /
 <strong>
  Instrumentation
 </strong>
 (I&amp;C, F&amp;G, Telecom) /
 <strong>
  Electrical
  <br/>
  <br/>
 </strong>
 <strong>
  Division
  <br/>
  <br/>
 </strong>
 KBR is looking for Senior Engineers to support the SMS Reliability Analysis Services Project, Adnoc, Abu Dhabi
 <br/>
 <br/>
 <strong>
  Summary
  <br/>
  <br/>
 </strong>
 Highly experienced professional who typically support the Reliability &amp; Maintenance function by developing maintenance strategies, optimizing preventive maintenance, leading RCA investigations, and monitoring performance indicators to drive asset reliability across ADNOC Offshore facilities.
 <br/>
 <br/>
 Monitor and analyze reliability KPIs such as MTBF, MTTR, equipment availability, and failure trends to continuously improve maintenance performance.
 <br/>
 <br/>
 Utilize SAP/Maximo data and field feedback to validate performance and ensure maintenance strategies are accurately reflected in the CMMS.
 <br/>
 <br/>
 Review and update equipment-specific maintenance strategies using RCM/FMEA principles aligned with ADNOC asset integrity and maintenance philosophy.
 <br/>
 <br/>
 Support RCA investigations to identify root causes of equipment failures and recommend practical short, medium, and long-term solutions.
 <br/>
 <br/>
 Review existing PM history and task lists to re-engineer preventive maintenance programs ensuring technical accuracy and operational effectiveness.
 <br/>
 <br/>
 <strong>
  Experience
  <br/>
  <br/>
 </strong>
 Minimum 07 years of Extensive experience in RAM analysis, measurement of reliability, facilitation of RCAs and FMEA/RCMs, PM optimization, and asset criticality.
 <br/>
 <br/>
 Strong working knowledge of RAM analysis, measurement of reliability, facilitation of RCAs and FMEA/RCMs, PM optimization, and asset criticality.
 <br/>
 <br/>
 Proficient in SAP, Maximo, or equivalent CMMS and data analysis tools.
 <br/>
 <br/>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelors or masters degree in mechanical, Electrical, Control, Corrosion, Metallurgy, process or related engineering field.
  </li>
  <li>
   CRE - Certified Reliability Engineer
  </li>
  <li>
   CMRP &ndash; Certified Maintenance and Reliability Professional
  </li>
  <li>
   Certification in the field of Reliability Engineering from reputed organization / Societies
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Decarbonization &ndash; Energy Transition &ndash; Sustainability
  <br/>
  <br/>
 </strong>
 <strong>
  Belong. Connect. Grow. with KBR!
  <br/>
  <br/>
 </strong>
 <strong>
  R2112852
 </strong>
</div>


Senior Engineer (Reliability)

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