estimation engineer

qa/qc engineer

planning engineer

data scientist

financial analyst

data analytics and reporting engineer

Dautom

<div>
 
 
 We are seeking an experienced Data Engineer to join our Data &amp; AI team and deliver core data platform capabilities. This hands-on role focuses on building robust Python-based data pipelines, ETL processes, and data models across a modern data lake/lakehouse environment. Strong Python and SQL skills are essential, along with a solid understanding of data lake architecture. Experience with data quality tooling (Informatica, Purview, Great Expectations, or similar) is a strong advantage.
 
 
 
 
 Key Responsibilities
 
 
 <ol>
 <li>
 Design and maintain end-to-end Python-based data pipelines for ingestion, transformation, and delivery.
 </li>
 <li>
 Build and optimise ETL/ELT workflows across Bronze, Silver, and Gold layers using Medallion architecture.
 </li>
 <li>
 Write clean, modular, production-grade Python code for data processing and automation.
 </li>
 <li>
 Support data model, schema, and storage design for analytics and reporting.
 </li>
 <li>
 Develop SQL transformations, stored procedures, and views for validation and reconciliation.
 </li>
 <li>
 Build ingestion frameworks for files, APIs, databases, and streaming sources.
 </li>
 <li>
 Implement data quality checks across completeness, validity, consistency, uniqueness, accuracy, and timeliness.
 </li>
 <li>
 Monitor pipeline health, implement alerting, and troubleshoot production issues.
 </li>
 <li>
 Contribute to CI/CD pipelines, automated testing, and version control.
 </li>
 <li>
 Produce clear documentation for pipelines, models, and runbooks.
 </li>
 </ol>
 
 
 Required Skills
 
 
 <ul>
 <li>
 Strong Python development (pandas, PySpark, etc.) and production pipeline experience.
 </li>
 <li>
 Solid SQL for complex transformations and performance tuning.
 </li>
 <li>
 Hands-on ETL/ELT design and implementation.
 </li>
 <li>
 Understanding of Medallion architecture and modern data lake/lakehouse patterns.
 </li>
 <li>
 Experience with orchestration tools.
 </li>
 <li>
 Working knowledge of cloud platforms (Azure, AWS, or GCP).
 </li>
 <li>
 Familiarity with relational and NoSQL databases.
 </li>
 <li>
 Strong debugging and problem‑solving skills.
 </li>
 </ul>
 
 
 Desirable Skills
 
 
 <ul>
 <li>
 Experience with data quality tools (Informatica IDQ, Purview, Great Expectations, custom DQ frameworks).
 </li>
 <li>
 Knowledge of data cataloguing/lineage tools (Informatica EDC, Purview).
 </li>
 <li>
 Familiarity with data governance platforms (Axon, Purview).
 </li>
 <li>
 Exposure to BI tools such as Power BI.
 </li>
 </ul>
 
 
 
</div>

Data Engineer

AVEVA

<div>AVEVA is a global leader in industrial software. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life &ndash; such as energy, infrastructure, chemicals and minerals &ndash; safely, efficiently and more sustainably.
We&rsquo;re the first software business in the world to have our sustainability targets validated by the SBTi, and we&rsquo;ve been recognized for the transparency and ambition of our commitment to diversity, equity, and inclusion. We&rsquo;ve also recently been named as one of the world&rsquo;s most innovative companies.
If you&rsquo;re a curious and collaborative person who wants to make a big impact through technology, then we want to hear from you! Find out more at AVEVA Careers.
For more information about our privacy policy and how to manage cookies, visit our Privacy Policy.<div><div><div><div><div><div><div><div><div>
Job Title: Subject Matter Expert &ndash; Reliability Engineering (RAM Analysis &middot; FMEA &middot; Bad Actor Management &middot; Programme KPI Governance)
Location: Abu Dhabi
Employment Type: Full Time</div></div></div></div></div></div></div></div></div>
Programme Context
AVEVA delivers Predictive Analytics, Asset Performance Management, and Process Optimisation solutions across Oil &amp; Gas, Energy, and Industrial operators throughout the Middle East region. These digital solutions monitor critical equipment and operational processes in real time, generating predictive alerts and operational advisories designed to prevent unplanned downtime, extend asset life, improve reliability, and optimize operational performance.
This SME role exists to ensure predictive model outputs are technically interpreted, validated, operationalized, and sustained &mdash; converting AI-generated insights into measurable operational, reliability, and financial benefits across customer facilities.
The Job
The Reliability Engineering SME will serve as the technical lead supporting deployment, operational monitoring, sustainment, governance, and continuous value realization of AVEVA Predictive Analytics and Asset Performance solutions deployed across customer operations in the Middle East region.
The role combines deep reliability engineering expertise with predictive maintenance, asset performance management, and operational governance capabilities to ensure deployed predictive solutions deliver sustained reliability improvements, maintenance optimization, operational efficiency, and measurable business value.
The SME will act as the integrator across multiple engineering disciplines &mdash; including rotating, static, electrical, process, and integrity domains &mdash; ensuring predictive insights translate into effective operational actions, reliability improvements, and quantified programme outcomes.
The role is responsible for establishing and governing the reliability and value realization framework for deployed predictive solutions, ensuring operational adoption, KPI tracking, continuous improvement, and long-term sustainment across customer facilities.
Key Responsibilities
Solution Deployment &amp; Model Enablement<ul><li>
Support end-to-end deployment and operationalization of AVEVA predictive analytics and asset performance solutions across customer facilities in the Middle East region.</li><li>
Provide reliability engineering subject matter expertise during asset onboarding, solution configuration, and model development phases.</li><li>
Work closely with analytics, data science, product, and delivery teams to ensure predictive models accurately reflect:<ul><li>
Asset criticality</li><li>
Failure modes</li><li>
Reliability risk profiles</li><li>
Maintenance strategies</li><li>
Operational and maintenance workflows</li></ul></li><li>
Support asset criticality assessments, use case definition, and prioritization of high-value reliability monitoring opportunities across:<ul><li>
Rotating equipment</li><li>
Static equipment</li><li>
Electrical systems</li><li>
Process systems</li><li>
Integrity-critical assets</li></ul></li><li>
Participate in model validation, alert tuning, calibration, and user acceptance testing (UAT) activities prior to go-live.</li><li>
Validate predictive model outputs against historical reliability trends, maintenance history, failure records, and operational performance data.</li><li>
Support development of reliability governance frameworks, KPI structures, and value realization methodologies for deployed solutions.</li><li>
Provide engineering input to support expansion of predictive monitoring and reliability optimization coverage across additional assets, systems, and facilities.</li></ul>
Predictive Monitoring, Sustainment &amp; Value Realization<ul><li>
Lead the reliability governance and value realization framework for deployed predictive analytics and asset performance solutions.</li><li>
Own and maintain programme benefits realization tracking across all engineering disciplines and customer facilities.</li><li>
Consolidate and report realized operational value including:<ul><li>
Downtime avoided</li><li>
Maintenance cost savings</li><li>
Production uplift</li><li>
Energy efficiency improvements</li><li>
Reduced equipment failures</li><li>
Improved equipment availability</li></ul></li><li>
Lead bad actor analysis informed by predictive model outputs and coordinate cross-functional investigations to address recurring failure patterns.</li><li>
Apply reliability engineering methodologies including:<ul><li>
Reliability Availability Maintainability (RAM) analysis</li><li>
Failure Modes and Effects Analysis (FMEA)</li><li>
Root Cause Analysis (RCA)</li><li>
Weibull analysis</li><li>
Reliability-centered maintenance (RCM) principles</li></ul></li><li>
Validate predictive model performance and support continuous improvement of maintenance and reliability strategies.</li><li>
Develop and maintain performance dashboards and governance metrics tracking:<ul><li>
Alert accuracy</li><li>
False positive rates</li><li>
Missed detections</li><li>
Advisory adoption rates</li><li>
Operational response effectiveness</li><li>
Reliability KPI improvements</li></ul></li><li>
Drive continuous improvement in operational adoption and usage of predictive analytics outputs by identifying workflow gaps and recommending process enhancements.</li><li>
Work closely with customer maintenance, operations, inspection, engineering, and reliability teams to integrate predictive insights into day-to-day reliability and maintenance workflows.</li><li>
Ensure predictive models remain aligned with actual operational conditions, maintenance practices, and asset performance throughout the sustainment lifecycle.</li><li>
Act as the primary technical focal point during sustainment and managed service phases for assigned reliability and asset performance portfolios.</li><li>
Support continuous improvement, model refinement, and enhancement of predictive monitoring effectiveness across multiple engineering disciplines.</li><li>
Participate in governance meetings, technical reviews, workshops, SteerCo discussions, and value realization sessions with customer stakeholders, asset owners, PMO teams, and senior leadership.</li><li>
Provide operational feedback and engineering recommendations to analytics, product, and delivery teams to improve solution performance, operational adoption, and customer outcomes.</li><li>
Support long-term customer adoption, sustainment, and continuous business value realization from deployed predictive analytics and asset performance solutions.</li><li>
Conduct periodic visits to customer plants, operational facilities, and industrial sites to support deployment activities, reliability reviews, bad actor investigations, technical assessments, governance discussions, and stakeholder engagement.</li></ul>
Required Qualifications<ul><li>
Bachelor&rsquo;s degree in Mechanical, Electrical, Chemical, Industrial, or related engineering discipline.</li><li>
Minimum 12 years of reliability engineering experience within oil &amp; gas, petrochemical, refining, gas processing, power generation, or heavy industrial environments.</li><li>
Strong experience applying:<ul><li>
RAM analysis</li><li>
FMEA</li><li>
RCA</li><li>
Weibull analysis</li><li>
Reliability-centered maintenance methodologies</li></ul></li><li>
Cross-discipline asset management experience spanning:<ul><li>
Mechanical systems</li><li>
Electrical systems</li><li>
Process systems</li><li>
Integrity-critical assets</li></ul></li><li>
Experience owning programme KPI governance, reliability reporting, and value realization tracking for operational facilities.</li><li>
Experience working with predictive maintenance, condition monitoring, or AI-driven asset performance platforms.</li><li>
Strong understanding of maintenance and reliability workflows within industrial operating environments.</li><li>
Experience interpreting operational and maintenance data from SCADA, PI Historian / OSIsoft, CMMS, or equivalent industrial systems.</li><li>
Familiarity with predictive analytics platforms, industrial AI systems, or digital reliability solutions preferred.</li><li>
Middle East or GCC operating environment experience preferred.</li></ul><div></div>
Preferred Certifications<ul><li>
Certified Reliability Engineer (CRE) preferred</li><li>
CMRP (Certified Maintenance &amp; Reliability Professional) advantageous</li><li>
Reliability-centered maintenance or asset management certifications preferred</li></ul><div></div>
Key Skills &amp; Competencies<ul><li>
Reliability engineering and asset performance management</li><li>
RAM, FMEA, RCA, and Weibull analysis</li><li>
Predictive maintenance and bad actor management</li><li>
Reliability KPI governance and value realization tracking</li><li>
Operational workflow optimization</li><li>
Cross-functional technical leadership</li><li>
Operational data interpretation and analytics validation</li><li>
Technical governance and stakeholder engagement</li><li>
Cross-disciplinary collaboration and advisory capability</li></ul>
Services at AVEVA
Our dynamic global team of 700+ engineers, developers, consultants, solution architects and project managers are at the forefront of delivering AVEVA cutting-edge solutions to customers. The work is complex and technical, but immensely rewarding: we empower customers to harness the full transformative potential of AVEVA&rsquo;s solutions. If you&rsquo;re analytical, pragmatic, and driven to make a tangible impact on the sustainability of the industrial sector, our team is the perfect place for you.
Find out more: https://www.aveva.com/en/about/careers/
AVEVA requires all successful applicants to undergo and pass a comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third party personal data may involve additional background check criteria. 
AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. 
 
Come and join AVEVA to create the transformative technology that enables our customers to engineer a better world.</div>

Subject Matter Expert – Reliability Engineering

Etihad Airways

<div>Job Description 
Etihad Airways is seeking a high-potential UAE National to join our Corporate Finance team in a unique role that combines secured and unsecured financing, artificial intelligence, data-driven decision making, and emerging technologies.
This is not a traditional corporate finance opportunity.
For the right candidate, Etihad is willing to invest in developing traditional corporate finance and treasury knowledge, provided you bring strong analytical capability, intellectual curiosity, and a passion for emerging technologies.
We are looking for ambitious individuals who are passionate about AI, automation, analytics, digital transformation, and the future of work. Whether your background is in technology, AI, data science, analytics, innovation, engineering, digital transformation, or a related field, we are interested in candidates who can help shape the future of finance through the intelligent use of technology.
Working directly with senior leaders across Treasury, Finance, Strategy, and Technology, you will play a highly visible role supporting Etihad&rsquo;s Journey 2030 transformation agenda. This position offers exceptional exposure to executive stakeholders and provides a clear pathway toward future leadership opportunities.
Accountabilities
Strategic Finance &amp; Business Transformation<ul><li>
Support strategic projects across Corporate Finance and Financial Risk Management functions.</li><li>
Assist with financial modelling, business case development, scenario analysis, and strategic planning initiatives.</li><li>
Contribute to funding, financing, and capital allocation projects while developing expertise in aviation finance and treasury management.</li><li>
Support senior leadership with insights, presentations, and analysis to enable informed business decisions.</li></ul>
AI, Analytics &amp; Innovation<ul><li>
Identify opportunities to leverage AI, machine learning, automation, and advanced analytics across Corporate Finance and Risk Management activities.</li><li>
Support the development of intelligent reporting, forecasting, scenario modelling, and decision-support tools.</li><li>
Evaluate emerging technologies and industry trends that can improve efficiency, insight generation, and financial decision making.</li><li>
Act as a champion for innovation and continuous improvement within the Corporate Finance function.</li></ul>
Stakeholder Engagement<ul><li>
Collaborate with senior stakeholders across Finance, Technology, Data &amp; Analytics, FP&amp;A and Strategy teams.</li><li>
Build strong working relationships across the business while developing a broad understanding of airline operations and financial performance.</li><li>
Present findings, recommendations, and innovative solutions to senior leadership audiences.</li></ul>
Leadership Development<ul><li>
Participate in strategic initiatives with significant exposure to executive leadership.</li><li>
Contribute to the development of future-focused finance capabilities within the organization.</li><li>
Develop the skills, knowledge, and experience required for future leadership opportunities within Finance and the wider business.</li></ul> 

Qualifications 
Education &amp; Experience
Required<ul><li>
UAE National with Family Book.</li><li>
Bachelor&rsquo;s degree in Artificial Intelligence, Data Science, Computer Science, Engineering, Analytics, Mathematics, Business Analytics, Finance, Economics, Technology Management, or a related discipline.</li><li>
Demonstrated interest in AI, emerging technologies, automation, analytics, or digital transformation.</li><li>
Strong analytical and problem-solving capability.</li><li>
Excellent communication and stakeholder engagement skills.</li><li>
Intellectual curiosity and willingness to continuously learn.</li></ul>
Preferred<ul><li>
Formal qualifications, certifications, or postgraduate studies in Artificial Intelligence, Machine Learning, Data Science, Business Analytics, Digital Transformation, or related fields.</li><li>
MBA from a leading institution.</li><li>
Experience using AI tools, automation platforms, advanced analytics solutions, or emerging technologies in a professional environment.</li><li>
Exposure to financial services, corporate finance, consulting, technology, analytics, or innovation-focused roles.</li></ul> 

Additional Information<div></div> 
Etihad Airways is more than the UAE&rsquo;s national airline - we&rsquo;re shaping the future of global aviation. From our hub in Abu Dhabi, we connect people across continents and cultures, while driving our &ldquo;Journey 2030&rdquo; ambition to double our fleet, expand our network and grow our people for a new era of excellence. Join us and become part of a vision where the world is your workplace and extraordinary experiences take flight.
To learn more visit www.etihad.com
Recruitment Fraud Alert 
Beware of fraudulent job offers from individuals or organizations claiming to represent the Etihad group. We will never ask for personal information, bank details, or payment during the recruitment process. Interviews are conducted face-to-face or via video/telephone before any formal offer. If you are asked for money, please treat it as fraudulent.</div>

Manager Corporate Finance & AI Innovation (UAE National Applications Only)

<div>AVEVA is a global leader in industrial software. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life &ndash; such as energy, infrastructure, chemicals and minerals &ndash; safely, efficiently and more sustainably.
We&rsquo;re the first software business in the world to have our sustainability targets validated by the SBTi, and we&rsquo;ve been recognized for the transparency and ambition of our commitment to diversity, equity, and inclusion. We&rsquo;ve also recently been named as one of the world&rsquo;s most innovative companies.
If you&rsquo;re a curious and collaborative person who wants to make a big impact through technology, then we want to hear from you! Find out more at AVEVA Careers.
For more information about our privacy policy and how to manage cookies, visit our Privacy Policy.<div><div><div><div><div><div><div><div><div>
Job Title: Subject Matter Expert &ndash; Static Equipment
(Pressure Vessels &middot; Heat Exchangers &middot; Columns &middot; Tanks &middot; Piping &middot; Asset Integrity)
Location: Abu Dhabi
Employment Type: Full Time</div></div></div></div></div></div></div></div></div> 
Programme Context
AVEVA delivers Predictive Analytics, Asset Performance Management, and Process Optimisation solutions across Oil &amp; Gas, Energy, and Industrial operators throughout the Middle East region. These digital solutions monitor critical equipment and operational processes in real time, generating predictive alerts and operational advisories designed to prevent unplanned downtime, extend asset life, improve reliability, and optimize operational performance.
This SME role exists to ensure predictive model outputs are technically interpreted, validated, operationalized, and sustained &mdash; converting AI-generated insights into measurable operational, reliability, and financial benefits across customer facilities.<div></div>
The Job
The Static Equipment SME will serve as the technical lead supporting deployment, operational monitoring, sustainment, and continuous value realization of AVEVA Predictive Analytics and Asset Performance solutions deployed across customer operations in the Middle East region.
The role combines deep static equipment and integrity engineering expertise with predictive maintenance and reliability advisory capabilities to ensure predictive models deliver measurable improvements in equipment reliability, integrity management, maintenance optimization, and operational performance.
The SME will work closely with customer operations, maintenance, reliability, inspection, and engineering teams throughout the solution lifecycle &mdash; from model development and deployment through operational monitoring, optimization, and long-term sustainment.
Key Responsibilities
Solution Deployment &amp; Model Enablement<ul><li>
Support end-to-end deployment and operationalization of AVEVA predictive analytics and asset performance solutions across customer facilities.</li><li>
Provide static equipment and integrity engineering subject matter expertise during asset onboarding, solution configuration, and model development phases.</li><li>
Work closely with analytics, data science, product, and delivery teams to ensure predictive models accurately reflect:<ul><li>
Equipment operating behaviour</li><li>
Degradation mechanisms</li><li>
Process conditions</li><li>
Inspection strategies</li><li>
Failure modes and operating envelopes</li></ul></li><li>
Support asset criticality assessments, use case definition, and identification of high-value monitoring opportunities for:<ul><li>
Pressure vessels</li><li>
Heat exchangers</li><li>
Columns</li><li>
Tanks</li><li>
Piping systems</li><li>
Associated static assets</li></ul></li><li>
Participate in model validation, alert tuning, calibration, and user acceptance testing (UAT) activities prior to go-live.</li><li>
Correlate predictive model outputs with operational and integrity data including:<ul><li>
Fouling trends</li><li>
Pressure drop analysis</li><li>
Temperature profiles</li><li>
Inspection findings</li><li>
Thickness measurements</li><li>
Historical maintenance and failure records</li></ul></li><li>
Validate model outputs against known equipment behaviour and operating conditions to improve model accuracy and reliability.</li><li>
Provide engineering input to support expansion of predictive monitoring coverage to additional static assets and facilities.</li></ul><div></div>
Predictive Monitoring, Sustainment &amp; Value Realization<ul><li>
Monitor and manage predictive anomaly alerts for deployed static equipment assets.</li><li>
Assess alert severity, validate operational impact, and recommend appropriate prioritization and corrective actions.</li><li>
Identify early indicators of:<ul><li>
Fouling</li><li>
Wall thinning</li><li>
Pressure losses</li><li>
Thermal degradation</li><li>
Integrity deterioration</li><li>
Process performance deviations</li></ul></li><li>
Recommend proactive inspection, cleaning, repair, and operational intervention strategies prior to failures or shutdowns.</li><li>
Collaborate with customer maintenance, inspection, operations, process, and reliability teams to plan and execute corrective and preventive activities.</li><li>
Review, validate, and operationalize AI/analytics-driven recommendations generated through deployed AVEVA solutions.</li><li>
Support Risk-Based Inspection (RBI), integrity management, and static equipment reliability improvement initiatives.</li><li>
Ensure predictive models remain aligned with actual operating conditions, inspection strategies, and asset behaviour throughout the sustainment lifecycle.</li><li>
Act as the primary technical focal point during sustainment and managed service phases for assigned static equipment asset portfolios.</li><li>
Support continuous improvement, model refinement, and enhancement of predictive monitoring effectiveness.</li><li>
Track and report reliability and value realization KPIs including:<ul><li>
Deferred failures</li><li>
Avoided shutdowns</li><li>
Reduced maintenance costs</li><li>
Improved equipment availability</li><li>
Inspection optimization benefits</li></ul></li><li>
Participate in governance meetings, technical reviews, workshops, and value realization sessions with customer stakeholders and project teams.</li><li>
Provide operational feedback and engineering recommendations to analytics, product, and delivery teams to improve solution performance and customer outcomes.</li><li>
Support long-term customer adoption, sustainment, and continuous business value realization from deployed predictive analytics solutions.</li><li>
Conduct periodic visits to customer plants, operational facilities, and industrial sites to support deployment activities, technical assessments, alert validation, and stakeholder engagement.</li></ul>
Required Qualifications<ul><li>
Bachelor&rsquo;s degree in Mechanical Engineering or related engineering discipline.</li><li>
Minimum 10 years of static equipment engineering experience within oil &amp; gas, petrochemical, refining, gas processing, or industrial environments.</li><li>
Strong background in inspection engineering, maintenance engineering, or asset integrity management within operating facilities.</li><li>
Expertise in pressure vessels, heat exchangers, columns, piping systems, tanks, and associated static assets.</li><li>
Familiarity with API 510, API 570, API 579, and integrity assessment methodologies preferred.</li><li>
Strong understanding of degradation mechanisms, inspection strategies, and operational reliability practices.</li><li>
Experience interpreting operational and integrity data from SCADA, PI Historian / OSIsoft, or equivalent industrial systems.</li><li>
Familiarity with predictive analytics platforms, industrial AI systems, or digital reliability solutions preferred.</li><li>
Middle East or GCC operating environment experience preferred.</li></ul><div></div>
Preferred Certifications<ul><li>
API 510 &ndash; Pressure Vessel Inspector</li><li>
API 570 &ndash; Piping Inspector</li><li>
API 579 / Fitness-for-Service exposure preferred</li><li>
RBI or integrity management certifications preferred</li></ul>
Preferred Industry Experience<ul><li>
Oil &amp; Gas operators in the Middle East region</li><li>
Upstream production facilities</li><li>
Offshore operations</li><li>
Gas processing plants</li><li>
Refineries and petrochemical facilities</li><li>
LNG and industrial energy operations</li></ul>
Key Skills &amp; Competencies<ul><li>
Static equipment integrity and reliability management</li><li>
Inspection planning and degradation assessment</li><li>
Predictive maintenance and integrity analytics</li><li>
Risk-Based Inspection (RBI)</li><li>
Failure analysis and troubleshooting</li><li>
Operational data interpretation and analytics validation</li><li>
Technical governance and stakeholder engagement</li><li>
Cross-functional collaboration and advisory capability</li></ul>
Services at AVEVA
Our dynamic global team of 700+ engineers, developers, consultants, solution architects and project managers are at the forefront of delivering AVEVA cutting-edge solutions to customers. The work is complex and technical, but immensely rewarding: we empower customers to harness the full transformative potential of AVEVA&rsquo;s solutions. If you&rsquo;re analytical, pragmatic, and driven to make a tangible impact on the sustainability of the industrial sector, our team is the perfect place for you.
Find out more: https://www.aveva.com/en/about/careers/
AVEVA requires all successful applicants to undergo and pass a comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third party personal data may involve additional background check criteria. 
AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. 
 
Come and join AVEVA to create the transformative technology that enables our customers to engineer a better world.</div>

Subject Matter Expert – Static Equipment

<div>AVEVA is a global leader in industrial software. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life &ndash; such as energy, infrastructure, chemicals and minerals &ndash; safely, efficiently and more sustainably.
We&rsquo;re the first software business in the world to have our sustainability targets validated by the SBTi, and we&rsquo;ve been recognized for the transparency and ambition of our commitment to diversity, equity, and inclusion. We&rsquo;ve also recently been named as one of the world&rsquo;s most innovative companies.
If you&rsquo;re a curious and collaborative person who wants to make a big impact through technology, then we want to hear from you! Find out more at AVEVA Careers.
For more information about our privacy policy and how to manage cookies, visit our Privacy Policy.
Job Title: Subject Matter Expert &ndash; Process Engineering
(Process Optimisation &middot; Steady-State Performance &middot; Heat &amp; Mass Balance)
Location: Abu Dhabi
Employment Type: Full Time
Programme Context
AVEVA delivers Predictive Analytics, Asset Performance Management, and Process Optimisation solutions across Oil &amp; Gas, Energy, and Industrial operators throughout the Middle East region. These digital solutions monitor critical equipment and operational processes in real time, generating predictive alerts and operational advisories designed to prevent unplanned downtime, extend asset life, improve reliability, and optimize operational performance.
This SME role exists to ensure predictive model outputs are technically interpreted, validated, operationalized, and sustained &mdash; converting AI-generated insights into measurable operational, reliability, and financial benefits across customer facilities.
The Job
The Process Engineering SME will serve as the technical lead supporting deployment, operational monitoring, sustainment, and continuous value realization of AVEVA Predictive Analytics and Process Optimisation solutions deployed across customer operations in the Middle East region.
The role combines deep process engineering expertise with operational optimization and predictive analytics advisory capabilities to ensure predictive and optimization models deliver measurable improvements in throughput, energy efficiency, process stability, production optimization, and operational performance.
The SME will work closely with customer operations, process engineering, production, control room, reliability, and digital teams throughout the solution lifecycle &mdash; from model development and deployment through operational monitoring, optimization, and long-term sustainment.
The role is responsible for translating AI-generated operational advisories and optimization insights into actionable process improvements that maximize production efficiency, reduce energy consumption, and improve plant performance.
Key Responsibilities
Solution Deployment &amp; Model Enablement<ul><li>
Support end-to-end deployment and operationalization of AVEVA predictive analytics and process optimization solutions across customer facilities in the Middle East region.</li><li>
Provide process engineering subject matter expertise during asset onboarding, solution configuration, and model development phases.</li><li>
Work closely with analytics, data science, product, and delivery teams to ensure predictive and optimization models accurately reflect:<ul><li>
Process operating conditions</li><li>
Heat and mass balance relationships</li><li>
Equipment performance characteristics</li><li>
Process constraints</li><li>
Operating envelopes and plant limitations</li></ul></li><li>
Support asset criticality assessments, use case definition, and identification of high-value optimization opportunities for:<ul><li>
Separators</li><li>
Compressors</li><li>
Heat exchangers</li><li>
Gas processing systems</li><li>
NGL processing units</li><li>
Utility and process systems</li></ul></li><li>
Participate in model validation, alert tuning, calibration, and user acceptance testing (UAT) activities prior to go-live.</li><li>
Correlate predictive and optimization model outputs with operational and process data including:<ul><li>
Process trends</li><li>
Throughput data</li><li>
Energy consumption</li><li>
Product quality parameters</li><li>
DCS/APC data</li><li>
Historical operating records</li></ul></li><li>
Validate model outputs against actual plant behaviour, process constraints, and operating conditions to improve model accuracy and reliability.</li><li>
Support model recalibration activities when process conditions change due to:<ul><li>
Well decline</li><li>
Feed composition shifts</li><li>
Equipment modifications</li><li>
Operational strategy changes</li></ul></li><li>
Provide engineering input to support expansion of optimization coverage to additional process units and facilities.</li></ul>
Predictive Monitoring, Sustainment &amp; Value Realization<ul><li>
Review and manage daily process optimization advisories and predictive alerts for deployed process systems and assets.</li><li>
Assess feasibility of model-recommended set-point changes against current operational constraints, production targets, and safety requirements.</li><li>
Validate optimization recommendations for:<ul><li>
Separators</li><li>
Compressors</li><li>
Heat exchangers</li><li>
Gas processing units</li><li>
Utility systems</li><li>
Other critical process equipment</li></ul></li><li>
Investigate process anomalies and inefficiencies identified by deployed AVEVA solutions and determine whether alerts represent:<ul><li>
Genuine process inefficiencies</li><li>
Equipment performance degradation</li><li>
Process instability</li><li>
Model artefacts or data quality issues</li></ul></li><li>
Perform root cause analysis (RCA) for process deviations, optimization gaps, and performance losses.</li><li>
Work closely with customer operations teams and control room personnel to safely implement operational advisories and optimization recommendations.</li><li>
Monitor implementation outcomes and provide operational feedback to analytics and model teams for continuous optimization improvement.</li><li>
Ensure predictive and optimization models remain aligned with actual operating conditions, process behaviour, and production strategies throughout the sustainment lifecycle.</li><li>
Act as the primary technical focal point during sustainment and managed service phases for assigned process optimization portfolios.</li><li>
Support continuous improvement, model refinement, and enhancement of predictive and optimization effectiveness.</li><li>
Track and report operational and value realization KPIs including:<ul><li>
Throughput improvement</li><li>
Energy consumption reduction</li><li>
Product quality improvements</li><li>
Flaring reduction</li><li>
Process stability enhancement</li><li>
Production optimization benefits</li></ul></li><li>
Participate in governance meetings, technical reviews, workshops, and value realization sessions with customer stakeholders and project teams.</li><li>
Provide operational feedback and engineering recommendations to analytics, product, and delivery teams to improve solution performance and customer outcomes.</li><li>
Support long-term customer adoption, sustainment, and continuous business value realization from deployed predictive analytics and optimization solutions.</li><li>
Conduct periodic visits to customer plants, operational facilities, control rooms, and industrial sites to support deployment activities, process assessments, optimization reviews, advisory validation, and stakeholder engagement.</li></ul>
Required Qualifications<ul><li>
Bachelor&rsquo;s degree in Chemical Engineering or related engineering discipline.</li><li>
Minimum 10 years of process engineering experience within oil &amp; gas upstream, gas processing, refining, petrochemical, or industrial process environments.</li><li>
Direct experience with:<ul><li>
Separation systems</li><li>
Gas compression systems</li><li>
NGL processing units</li><li>
Process optimization and operational troubleshooting</li></ul></li><li>
Strong understanding of:<ul><li>
Heat and mass balance principles</li><li>
Process performance analysis</li><li>
Production optimization</li><li>
Process constraints and operating envelopes</li></ul></li><li>
Familiarity with process simulation tools such as:<ul><li>
Aspen HYSYS</li><li>
Pro/II</li><li>
Equivalent process simulation platforms</li></ul></li><li>
Experience translating optimization model outputs into operational guidance for plant operations and control room teams.</li><li>
Familiarity with DCS, APC, or real-time optimization environments preferred.</li><li>
Experience interpreting operational data from SCADA, PI Historian / OSIsoft, or equivalent industrial systems.</li><li>
Familiarity with predictive analytics platforms, industrial AI systems, or digital optimization solutions preferred.</li><li>
Middle East or GCC operating environment experience preferred.</li></ul><div></div>
Preferred Certifications<ul><li>
Process optimization or APC-related certifications advantageous</li><li>
Energy management or operational excellence certifications preferred</li></ul>
Preferred Industry Experience<ul><li>
Oil &amp; Gas operators in the Middle East region</li><li>
Upstream production facilities</li><li>
Offshore operations</li><li>
Gas processing plants</li><li>
Refineries and petrochemical facilities</li><li>
LNG and industrial energy operations</li></ul>
Key Skills &amp; Competencies<ul><li>
Process optimization and troubleshooting</li><li>
Heat and mass balance analysis</li><li>
Production and energy efficiency optimization</li><li>
Process simulation and modelling</li><li>
Operational advisory validation</li><li>
Root Cause Analysis (RCA)</li><li>
Process data interpretation and analytics validation</li><li>
Technical governance and stakeholder engagement</li><li>
Cross-functional collaboration and advisory capability</li></ul>
Services at AVEVA
Our dynamic global team of 700+ engineers, developers, consultants, solution architects and project managers are at the forefront of delivering AVEVA cutting-edge solutions to customers. The work is complex and technical, but immensely rewarding: we empower customers to harness the full transformative potential of AVEVA&rsquo;s solutions. If you&rsquo;re analytical, pragmatic, and driven to make a tangible impact on the sustainability of the industrial sector, our team is the perfect place for you.
Find out more: https://www.aveva.com/en/about/careers/
AVEVA requires all successful applicants to undergo and pass a comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third party personal data may involve additional background check criteria. 
AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. 
 
Come and join AVEVA to create the transformative technology that enables our customers to engineer a better world.</div>

Subject Matter Expert – Process Engineering

<div>AVEVA is a global leader in industrial software. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life &ndash; such as energy, infrastructure, chemicals and minerals &ndash; safely, efficiently and more sustainably.
We&rsquo;re the first software business in the world to have our sustainability targets validated by the SBTi, and we&rsquo;ve been recognized for the transparency and ambition of our commitment to diversity, equity, and inclusion. We&rsquo;ve also recently been named as one of the world&rsquo;s most innovative companies.
If you&rsquo;re a curious and collaborative person who wants to make a big impact through technology, then we want to hear from you! Find out more at AVEVA Careers.
For more information about our privacy policy and how to manage cookies, visit our Privacy Policy.<div><div>
Job Description</div></div><div><div><div><div><div><div><div><div><div>
Job Title: Subject Matter Expert &ndash; Corrosion &amp; Mechanical Integrity
(Corrosion Monitoring &middot; RBI &middot; Wall Thickness Management &middot; Fitness-for-Service)
Location: Abu Dhabi
Employment Type: Full Time</div></div></div></div></div></div></div></div></div>
Programme Context
AVEVA delivers Predictive Analytics, Asset Performance Management, and Process Optimisation solutions across Oil &amp; Gas, Energy, and Industrial operators throughout the Middle East region. These digital solutions monitor critical equipment and operational processes in real time, generating predictive alerts and operational advisories designed to prevent unplanned downtime, extend asset life, improve reliability, and optimize operational performance.
This SME role exists to ensure predictive model outputs are technically interpreted, validated, operationalized, and sustained &mdash; converting AI-generated insights into measurable operational, reliability, and financial benefits across customer facilities.
The Job
The Corrosion &amp; Mechanical Integrity SME will serve as the technical lead supporting deployment, operational monitoring, sustainment, and continuous value realization of AVEVA Predictive Analytics and Asset Performance solutions deployed across customer operations in the Middle East region.
The role combines deep corrosion engineering and integrity management expertise with predictive maintenance and reliability advisory capabilities to ensure predictive models deliver measurable improvements in corrosion risk management, inspection optimization, asset integrity, and operational performance.
The SME will work closely with customer operations, inspection, integrity, maintenance, and engineering teams throughout the solution lifecycle &mdash; from model development and deployment through operational monitoring, optimization, and long-term sustainment.
Key Responsibilities
Solution Deployment &amp; Model Enablement<ul><li>
Support end-to-end deployment and operationalization of AVEVA predictive analytics and asset performance solutions across customer facilities.</li><li>
Provide corrosion and mechanical integrity subject matter expertise during asset onboarding, solution configuration, and model development phases.</li><li>
Work closely with analytics, data science, product, and delivery teams to ensure predictive models accurately reflect:<ul><li>
Corrosion mechanisms</li><li>
Integrity risks</li><li>
Operating conditions</li><li>
Inspection strategies</li><li>
Historical degradation patterns</li></ul></li><li>
Support asset criticality assessments, use case definition, and identification of high-value monitoring opportunities for:<ul><li>
Pipelines</li><li>
Pressure vessels</li><li>
Piping systems</li><li>
Static process equipment</li><li>
Corrosion loops and circuits</li></ul></li><li>
Participate in model validation, alert tuning, calibration, and user acceptance testing (UAT) activities prior to go-live.</li><li>
Correlate predictive model outputs with operational and integrity data including:<ul><li>
Wall thickness measurements</li><li>
Corrosion rates</li><li>
Inspection findings</li><li>
Chemical injection data</li><li>
Process fluid composition</li><li>
Environmental and operational conditions</li></ul></li><li>
Validate model outputs against known degradation mechanisms, inspection history, and operating conditions to improve model accuracy and reliability.</li><li>
Provide engineering input to support expansion of predictive monitoring coverage to additional assets and integrity circuits.</li></ul>
Predictive Monitoring, Sustainment &amp; Value Realization<ul><li>
Monitor and manage predictive anomaly alerts related to corrosion and integrity risks across deployed assets.</li><li>
Assess alert severity, validate operational impact, and recommend appropriate prioritization and mitigation actions.</li><li>
Identify early indicators of:<ul><li>
Internal corrosion</li><li>
External corrosion</li><li>
Corrosion Under Insulation (CUI)</li><li>
Erosion-corrosion</li><li>
Wall thinning</li><li>
Integrity degradation</li></ul></li><li>
Recommend proactive inspection, mitigation, repair, and operational intervention strategies prior to integrity failures or shutdowns.</li><li>
Collaborate with customer inspection, integrity, operations, maintenance, and reliability teams to plan and execute corrective and preventive activities.</li><li>
Review, validate, and operationalize AI/analytics-driven recommendations generated through deployed AVEVA solutions.</li><li>
Support Risk-Based Inspection (RBI), Fitness-for-Service (FFS), corrosion management, and integrity optimization initiatives.</li><li>
Ensure predictive models remain aligned with actual operating conditions, inspection strategies, and integrity management practices throughout the sustainment lifecycle.</li><li>
Act as the primary technical focal point during sustainment and managed service phases for assigned integrity and corrosion monitoring portfolios.</li><li>
Support continuous improvement, model refinement, and enhancement of predictive monitoring effectiveness.</li><li>
Track and report integrity and value realization KPIs including:<ul><li>
Inspection deferrals justified</li><li>
Early wall loss detection</li><li>
Avoided integrity failures</li><li>
Reduced inspection costs</li><li>
Reduced unplanned downtime</li></ul></li><li>
Participate in governance meetings, technical reviews, workshops, and value realization sessions with customer stakeholders and project teams.</li><li>
Provide operational feedback and engineering recommendations to analytics, product, and delivery teams to improve solution performance and customer outcomes.</li><li>
Support long-term customer adoption, sustainment, and continuous business value realization from deployed predictive analytics solutions.</li><li>
Conduct periodic visits to customer plants, operational facilities, and industrial sites to support deployment activities, technical assessments, alert validation, integrity reviews, and stakeholder engagement.</li></ul>
Required Qualifications<ul><li>
Bachelor&rsquo;s degree in Mechanical, Metallurgical, Materials, or Chemical Engineering.</li><li>
Minimum 10 years of experience in corrosion engineering, inspection engineering, or mechanical integrity management within oil &amp; gas, refining, petrochemical, or industrial environments.</li><li>
Strong expertise in corrosion monitoring, degradation assessment, and integrity risk management.</li><li>
Experience implementing or supporting RBI methodologies aligned with API 580 / 581.</li><li>
Strong understanding of:<ul><li>
Corrosion mechanisms</li><li>
Wall thickness management</li><li>
Integrity operating windows</li><li>
Fitness-for-Service methodologies</li><li>
Inspection planning and execution</li></ul></li><li>
NDT, inspection engineering, or integrity management background preferred.</li><li>
Familiarity with integrity management systems, digital integrity platforms, and historian systems such as PI / OSIsoft or equivalent.</li><li>
Familiarity with predictive analytics platforms, industrial AI systems, or digital reliability solutions preferred.</li><li>
Middle East or GCC operating environment experience preferred.</li></ul>
Preferred Certifications<ul><li>
NACE / AMPP Corrosion Certification</li><li>
ICorr Certification</li><li>
API 580 / 581 RBI Certification</li><li>
API 510 / 570 preferred</li><li>
Fitness-for-Service (API 579) exposure preferred</li></ul><div></div>
Preferred Industry Experience<ul><li>
Oil &amp; Gas operators in the Middle East region</li><li>
Upstream production facilities</li><li>
Offshore operations</li><li>
Gas processing plants</li><li>
Refineries and petrochemical facilities</li><li>
LNG and industrial energy operations</li></ul>
Key Skills &amp; Competencies<ul><li>
Corrosion engineering and integrity management</li><li>
Risk-Based Inspection (RBI)</li><li>
Wall thickness monitoring and degradation analysis</li><li>
Fitness-for-Service (FFS)</li><li>
Integrity data interpretation and analytics validation</li><li>
Inspection strategy optimization</li><li>
Root Cause Analysis (RCA)</li><li>
Technical governance and stakeholder engagement</li><li>
Cross-functional collaboration and advisory capability</li></ul>
Services at AVEVA
Our dynamic global team of 700+ engineers, developers, consultants, solution architects and project managers are at the forefront of delivering AVEVA cutting-edge solutions to customers. The work is complex and technical, but immensely rewarding: we empower customers to harness the full transformative potential of AVEVA&rsquo;s solutions. If you&rsquo;re analytical, pragmatic, and driven to make a tangible impact on the sustainability of the industrial sector, our team is the perfect place for you.
Find out more: https://www.aveva.com/en/about/careers/
AVEVA requires all successful applicants to undergo and pass a comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third party personal data may involve additional background check criteria. 
AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. 
 
Come and join AVEVA to create the transformative technology that enables our customers to engineer a better world.</div>

Subject Matter Expert – Corrosion & Mechanical Integrity

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.
At DeepLight, we don't believe in &quot;off-the-shelf&quot; fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.
The DevOps Engineer owns the Agentic Workflow Automation (AWA) platform's deployment architecture, infrastructure-as-code (IaC), CI/CD pipelines, and continuous operational reliability. Operating within the AI Centre of Excellence (AICoE) at a Mid-level capacity, this position serves as the primary guardian of the cloud-native infrastructure within the bank's Azure UAE environment. The role ensures that every critical platform component&mdash;ranging from AKS namespaces and KEDA autoscalers to ADLS Gen2 storage lifecycles and firewall configurations&mdash;is entirely automated, secure, and reproducible strictly from code, eliminating manual interventions.
Your responsibilities as the DevOps Engineer include:<ul><li>
Maintaining and governing all AWA Azure infrastructure utilizing Terraform or Bicep, covering multi-namespace AKS clusters, ADLS Gen2 accounts with WORM policies, API Management configurations, private endpoints, and Key Vault instances.</li><li>
Designing and optimising automated Azure DevOps pipelines managing the full lifecycle from container compilation, ACR pushing, and Notary v2 image signing, through to managed infrastructure deployments and validation testing gates.</li><li>
Managing multi-namespace AKS clusters, enforcing strict network policies, pod isolation, workload identities, and KEDA autoscaling rules based on active message queues or consumer lag.</li><li>
Overseeing container registries, enforce mandatory image signing, monitor vulnerability tracking outputs, and maintain admission control validation policies via OPA Gatekeeper.</li><li>
Administering access architectures, managed identity configurations, automated TLS certificate lifecycles, and cryptographic secret rotation schedules within Azure Key Vault.</li><li>
Constructing complex KQL queries and alerting conditions within Azure Monitor and Log Analytics to track service-level SLA breaches, runtime failures, and token utilization thresholds.</li><li>
Implementing platform security configurations, managing private connectivity endpoints, Azure Policy enforcement rules, and enterprise firewall architectures.</li><li>
Defining, implementing, and validating automated disaster recovery failover paths, maintaining target Recovery Time Objectives (RTO) and Recovery Point Objectives (RPO) for storage accounts and model serving endpoints.</li></ul> 

Requirements 
We need you to have:<ul><li>
A deep competence in building enterprise-grade, production-ready cloud architectures using infrastructure-as-code platforms (Terraform or Bicep).</li><li>
Technical mastery over Kubernetes (AKS) configuration, including Helm/Kustomize deployment engines, network policies, and cluster admission controls.</li><li>
Practical ability to implement automated horizontal scaling strategies using Kubernetes Event-Driven Autoscaling (KEDA) or equivalent streaming metrics.</li><li>
The capability to manage multi-stage, gated deployment pipelines across multi-environment setups using Azure DevOps or GitHub Actions.</li><li>
A solid understanding of enterprise network routing, including hub-and-spoke VNets, private link endpoints, network security groups, and cloud firewall boundaries.</li><li>
A minimum of 5 years of experience in dedicated DevOps, SRE, or Platform Engineering roles, with at least 2 years explicitly focused on Azure ecosystems.</li><li>
A documented history managing production Kubernetes deployments, implementing automated RBAC, policy layers, and namespace segmentation.</li><li>
Experience writing advanced KQL (Kusto Query Language) expressions to parse logs and feed operational dashboards.</li><li>
Hold a Bachelor's degree in Computer Science, Systems Engineering, or a related technical discipline.</li></ul>
It would also be great if you:<ul><li>
Are proficient with Kubernetes Workload Identity, managed identity architectures, and Azure Key Vault access security profiles.</li><li>
Are familiar with Azure AI Foundry and API Management platforms, specifically controlling token consumption quotas, routing, and rate limits.</li><li>
Are familiar with Azure Event Hubs or Kafka consumer groups, alongside immutable ADLS Gen2 storage structure management.</li><li>
Hold an active Azure Administrator Associate (AZ-104), Azure DevOps Engineer Expert (AZ-400), or Certified Kubernetes Administrator (CKA) designations.</li></ul> 

Benefits 
The benefits you'll enjoy as part of this role include: 
<ul><li>
Competitive salary
</li><li>Comprehensive personal health insurance
</li><li>Visa Sponsorship for the successful individual</li><li>
Professional development and certification support</li><li>
Subscription reimbursement relating to your role</li><li>
Opportunity to work on cutting-edge AI projects</li><li>
Monthly Employee Incentive program</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>

DevOps Engineer

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