devops engineer

data scientist

ai engineer

ai/ml process engineer

backend engineer

data pipeline engineer

Lunate

<div>
 <p>
  <strong>
   Firm Overview
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Lunate is a new Abu Dhabi-based, Partner-led, independent global alternative investment manager with more than 250 employees and $115 billion of assets under management. Lunate invests across the entire private markets spectrum including buyouts, growth equity, early and late-stage venture capital, private credit, real assets, and public equities and public credit. Lunate aims to be one of the world&rsquo;s leading private markets solutions providers through SMAs and multi-asset class funds, seeking to generate best-in-class risk-adjusted returns for its clients.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Purpose
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  The Senior Data Engineer will be the first dedicated internal data engineering hire in Lunate&rsquo;s Data &amp; AI function. This role is responsible for building dependable ingestion and transformation pipelines into Snowflake, shaping high-quality, well-modelled datasets that power reporting, operations, and AI-enabled products. You will work closely with the Head of Data &amp; AI and partner with Infrastructure (who own Snowflake account and platform setup) to deliver a modern, data-as-code engineering practice with strong controls, testing, and repeatability, supporting both BI and AI/Agentic workloads.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Duties and Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Build and own ingestion pipelines into Snowflake using modern ELT patterns (Fivetran or equivalent, plus custom ingestion where needed), handling schema drift and source changes safely.
  </li>
  <li>
   Leverage AI Tools to design and automate our pipelines.
  </li>
  <li>
   Implement a layered data architecture (raw, standardised, business) that preserves immutability, auditability, and supports reprocessing and backfills.
  </li>
  <li>
   Develop transformations as version-controlled code (SQL and Python) using dbt or equivalent tooling.
  </li>
  <li>
   Apply pragmatic data modelling practices, using dimensional (Kimball) or relational approaches where appropriate.
  </li>
  <li>
   Build data quality and reconciliation into pipelines, with automated checks and visible quality signals.
  </li>
  <li>
   Operate pipelines like software: CI/CD, automated testing, peer review, and controlled promotion across environments.
  </li>
  <li>
   Optimise Snowflake usage for performance and cost, working with Infrastructure on governance controls.
  </li>
  <li>
   Partner with BI practitioners and AI engineers to deliver AI-ready datasets with consistent semantics and clear lineage.
  </li>
  <li>
   Collaborate with investment, operations, and finance teams to translate requirements into robust data products.
  </li>
  <li>
   Contribute to engineering standards, patterns, and documentation as the data function scales.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications and Experience
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   6+ years of professional data engineering experience delivering production pipelines.
  </li>
  <li>
   Strong experience with Snowflake&rsquo;s full suite of products &ndash; especially core functionality.
  </li>
  <li>
   Hands-on experience with dbt, including testing and environment management.
  </li>
  <li>
   Familiarity with modern ingestion tools such as Fivetran.
  </li>
  <li>
   Strong grounding in data modelling fundamentals (Kimball and relational).
  </li>
  <li>
   Python-native, comfortable writing production-quality pipeline and orchestration code.
  </li>
  <li>
   Strong software engineering discipline applied to data (Git, CI/CD, automated testing).
  </li>
  <li>
   Experience building replayable, idempotent pipelines with backfill support.
  </li>
  <li>
   Financial services experience preferred, with understanding of audit, restatement, and as-of data concepts.
  </li>
 </ul>
</div>


Senior Data Engineer

Birbal AI

<div>
 <p>
  The Data Engineer will be responsible for supporting data management, system integration, reporting data flows, and enterprise application data activities. The role requires hands-on experience in SQL, data pipelines, data extraction, transformation, APIs, CRM/Dataverse data structures, reporting datasets, and production support.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Key Responsibilities
 </p>
 <p>
  Develop, maintain, and optimize data pipelines and data integration workflows.
 </p>
 <p>
  Work with SQL databases, CRM/Dataverse, APIs, and enterprise application data sources.
 </p>
 <p>
  Support data extraction, transformation, loading, and reconciliation activities.
 </p>
 <p>
  Build and maintain datasets for dashboards, reports, and analytics.
 </p>
 <p>
  Troubleshoot data issues related to missing records, incorrect mappings, failed integrations, or report mismatches.
 </p>
 <p>
  Support integration between enterprise applications, portals, CRM systems, and reporting platforms.
 </p>
 <p>
  Work with Power BI datasets, SQL scripts, views, stored procedures, and data models.
 </p>
 <p>
  Support automation workflows using Power Automate or similar platforms.
 </p>
 <p>
  Coordinate with business users, application teams, QA teams, and data quality resources to resolve data issues.
 </p>
 <p>
  Prepare and maintain technical documentation for data flows, mappings, APIs, and transformation logic.
 </p>
 <p>
  Ensure data security, confidentiality, governance, and compliance requirements are followed.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Required Skills
 </p>
 <p>
  Strong SQL development and database knowledge.
 </p>
 <p>
  Experience in ETL/ELT, data pipelines, and data integration.
 </p>
 <p>
  Knowledge of CRM/Dataverse or similar enterprise application data models.
 </p>
 <p>
  Experience with Power BI datasets, reporting databases, or analytics platforms.
 </p>
 <p>
  Understanding of APIs, data exchange, and system integration.
 </p>
 <p>
  Good knowledge of data validation, data reconciliation, and data troubleshooting.
 </p>
 <p>
  Strong analytical, problem-solving, and communication skills.
 </p>
</div>


Data Engineer – SQL, Power BI & Dataverse

Emirates Nuclear Energy

<div></div><div><div><div><div><div>Posting Date: 7 Jul 2026
</div></div></div></div><div><div><div><div>Requisition ID: 3823
</div></div></div></div><div><div><div><div>Location: HQ - Abu Dhabi
</div></div></div></div><div><div><div><div>Posting Status: Active Recruitment
</div></div></div></div><div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Job Purpose</b></h2>
</div><div><p>We are seeking a versatile and experienced Data Engineer to join our team. The ideal candidate will have a strong background in data engineering and machine learning, with the ability to design, build, and maintain data pipelines, as well as develop and deploy machine learning models. This role requires a deep understanding of data lakehouses, such as Databricks and Azure Fabric, and the ability to work collaboratively with cross-functional teams to deliver data-driven solutions.<br>
<br>
</p></div></div><div><div><h2 class="jobSectionHeader"><b>Key Activities, Responsibility &amp; Accountability</b></h2>
</div><div><div>Key Responsibilities:
<br>
Data Engineering:
<br>
<ul><li>Design, build, and maintain scalable data pipelines and ETL processes.
</li><li>Work with large datasets and data lakehouses, including Databricks and Azure Fabric.
</li><li>Ensure data quality, integrity, and security across all data pipelines.
</li><li>Optimize data storage and retrieval processes for performance and efficiency.
</li></ul>Machine Learning Engineering:
<br>
<ul><li>Develop, implement, and optimize machine learning models and algorithms.
</li><li>Perform data analysis and model tuning to improve accuracy and performance.
</li><li>Deploy machine learning models into production environments.
</li><li>Monitor and maintain the performance of deployed models.
</li></ul>Collaboration:
<br>
<ul><li>Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
</li><li>Work closely with data scientists, analysts, and other stakeholders to ensure seamless integration of data and models.
</li></ul>Continuous Learning:
<br>
<ul><li>Stay up-to-date with the latest advancements in data engineering and machine learning.
</li><li>Participate in training and development opportunities to enhance skills and knowledge.<br>
</li></ul></div></div></div><div><div><h2 class="jobSectionHeader"><b>Responsibilities &amp; Accountabilities (contd.)</b></h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader"><b>Professional Certifications</b></h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader"><b>Qualifications</b></h2>
</div><div><p>Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Experience</b></h2>
</div><div><ul><li>5-10 years of experience in data engineering and machine learning.
</li><li>Proficiency in programming languages such as Python, R, or SQL.
</li><li>Experience with data lakehouses, particularly Databricks and Azure Fabric.
</li><li>Strong analytical and problem-solving skills.
</li><li>Excellent communication and teamwork abilities.
</li><li>Ability to work independently and manage multiple projects simultaneously.</li></ul></div></div></div></div></div></div></div></div><p></p>

Data Engineer

<div></div><div><div>Location Abu Dhabi Category Engineering, Technology, &amp; Science Job Type Full time Job Id R2126282 Posted Date 07/09/2026<br>
</div><p></p><div><div><div><div><div><div><div>
</div></div></div></div></div></div></div><div></div><div>JOB DESCRIPTION
</div><div><p><b>Title:</b></p>
Lead Piping Engineer &ndash; Offshore Island Project
<p></p><p><b><i>Belong, Connect, Grow, with KBR!</i></b></p>
<p><b><i>The KBR team of teams delivers future-forward science, technology and engineering solutions and mission-critical services that help governments and companies around the world accomplish their most important objectives, while also helping achieve their sustainability goals. KBR Sustainable Technology Solutions provides holistic and value-added solutions across the entire asset life cycle. These include world-class licensed process technologies, differentiated advisory services, deep technical domain expertise, energy transition solutions, high-end design and engineering capabilities, and smart solutions to optimize planned and operating assets.</i></b></p>
 <p><b>Job Title: </b><b>Lead Piping Engineer</b><b> </b><b>&ndash; Offshore Island Project</b></p>
<p>KBR Abu Dhabi PMC Team is currently looking to fill a position of <b>Lead Piping Engineer </b>for an <b>Offshore Island Project </b>to be based in UAE ( Abu Dhabi) as soon as the administrative processes are completed, will then relocate to <b>Spain Office</b> and then return to Abu Dhabi<b> .
</b></p><p><b>Key Responsibilities</b></p>
<p><b>Job Purpose</b></p>
<p><b>The Lead Piping Engineer is responsible for leading all piping engineering and design activities for ADNOC Offshore projects, ensuring safe, reliable, and cost-effective piping systems for offshore oil and gas facilities. The role covers FEED, Detailed Engineering, EPC, Construction, Commissioning, and Start-up phases and ensures compliance with ADNOC standards, international codes, project specifications, and HSE requirements.</b></p>
<p><b>The Lead Piping Engineer shall provide technical leadership, manage piping engineering teams, coordinate multidisciplinary interfaces, and ensure successful delivery of offshore facilities including platforms, wellhead towers, central processing facilities, utilities, subsea tie-ins, and pipeline systems.</b></p>
<div></div><p><b>Key Responsibilities</b></p>
<p><b>Engineering Leadership</b></p>
<ul><li><b>Lead piping engineering and piping layout activities for offshore oil and gas projects.</b></li>
<li><b>Manage and supervise a team of Piping Engineers, Designers, and Draftsmen.</b></li>
<li><b>Ensure piping deliverables are completed within project schedule, budget, and quality requirements.</b></li>
<li><b>Provide technical guidance and resolve complex piping engineering issues.</b></li>
<li><b>Coordinate engineering activities with ADNOC, EPC contractors, vendors, and third-party consultants.</b></li>
</ul><p><b>Piping Design &amp; Engineering</b></p>
<ul><li><b>Develop and review piping design philosophies and engineering specifications.</b></li>
<li><b>Review and approve:
</b><ul><li><b>Piping Material Specifications (PMS)</b></li>
<li><b>Material Class Specifications</b></li>
<li><b>Plot Plans and Equipment Layouts</b></li>
<li><b>Piping General Arrangement Drawings</b></li>
<li><b>Isometric Drawings</b></li>
<li><b>Line Lists</b></li>
<li><b>Valve Lists</b></li>
<li><b>Special Item Lists</b></li>
<li><b>Material Take-Offs (MTOs)</b></li>
</ul></li><li><b>Ensure compliance with process, safety, operability, and maintenance requirements.</b></li>
<li><b>Verify piping layouts considering accessibility, constructability, and safety requirements.</b></li>
</ul><p><b>Stress Analysis &amp; Flexibility</b></p>
<ul><li><b>Coordinate piping stress analysis activities.</b></li>
<li><b>Review:
</b><ul><li><b>Stress Analysis Reports</b></li>
<li><b>Critical Line Studies</b></li>
<li><b>Dynamic Analysis</b></li>
<li><b>Seismic Analysis</b></li>
<li><b>Thermal Expansion Studies</b></li>
</ul></li><li><b>Ensure piping systems meet allowable stress limits and operational requirements.</b></li>
<li><b>Resolve stress-related issues in coordination with structural and mechanical disciplines.</b></li>
</ul><p><b>Offshore Facility Design</b></p>
<ul><li><b>Lead piping engineering for:
</b><ul><li><b>Wellhead Platforms</b></li>
<li><b>Central Processing Platforms</b></li>
<li><b>Production Facilities</b></li>
<li><b>Utility Systems</b></li>
<li><b>Living Quarters</b></li>
<li><b>Flare Systems</b></li>
<li><b>Water Injection Systems</b></li>
<li><b>Produced Water Treatment Systems</b></li>
<li><b>Gas Compression Facilities</b></li>
</ul></li><li><b>Ensure piping designs are optimized for offshore space constraints and operational efficiency.</b></li>
</ul><p><b>Material &amp; Valve Engineering</b></p>
<ul><li><b>Review and approve piping material selections.</b></li>
<li><b>Ensure proper selection of:
</b><ul><li><b>Carbon Steel</b></li>
<li><b>Stainless Steel</b></li>
<li><b>Duplex &amp; Super Duplex Materials</b></li>
<li><b>CRA Materials</b></li>
<li><b>GRE / GRP Systems</b></li>
</ul></li><li><b>Coordinate valve selection and specification activities.</b></li>
<li><b>Review special piping components and vendor packages.</b></li>
</ul><p><b>Safety &amp; Risk Management</b></p>
<ul><li><b>Participate in:
</b><ul><li><b>HAZOP Studies</b></li>
<li><b>HAZID Reviews</b></li>
<li><b>Constructability Reviews</b></li>
<li><b>Design Safety Reviews</b></li>
<li><b>SIMOPS Assessments</b></li>
</ul></li><li><b>Ensure compliance with process safety requirements.</b></li>
<li><b>Incorporate safe access, operability, and maintenance considerations into piping layouts.</b></li>
</ul><p><b>Procurement &amp; Vendor Support</b></p>
<ul><li><b>Prepare and review Material Requisitions (MRs).</b></li>
<li><b>Conduct Technical Bid Evaluations (TBEs).</b></li>
<li><b>Review vendor drawings, documents, and technical proposals.</b></li>
<li><b>Participate in vendor meetings and technical clarification sessions.</b></li>
<li><b>Ensure technical compliance with ADNOC standards and project specifications.</b></li>
</ul><p><b>Construction Support</b></p>
<ul><li><b>Provide engineering support during fabrication, construction, and offshore installation activities.</b></li>
<li><b>Resolve site technical queries and field engineering issues.</b></li>
<li><b>Review non-conformance reports (NCRs) and engineering deviations.</b></li>
<li><b>Support offshore hook-up and commissioning activities.</b></li>
</ul><p><b>Commissioning &amp; Start-Up</b></p>
<ul><li><b>Review system turnover packages.</b></li>
<li><b>Support pre-commissioning and commissioning activities.</b></li>
<li><b>Participate in:
</b><ul><li><b>Hydrostatic Testing</b></li>
<li><b>Pneumatic Testing</b></li>
<li><b>Leak Testing</b></li>
<li><b>Mechanical Completion Reviews</b></li>
</ul></li><li><b>Support start-up, performance testing, and project handover activities.</b></li>
</ul><p><b>Interface Management</b></p>
<ul><li><b>Coordinate closely with:
</b><ul><li><b>Process Engineering</b></li>
<li><b>Mechanical Engineering</b></li>
<li><b>Structural Engineering</b></li>
<li><b>Civil Engineering</b></li>
<li><b>Electrical Engineering</b></li>
<li><b>Instrumentation &amp; Control Engineering</b></li>
<li><b>Pipeline Engineering</b></li>
<li><b>Construction Teams</b></li>
</ul></li><li><b>Ensure proper integration between piping systems and all related disciplines.</b></li>
</ul><div></div><p><b>Qualifications</b></p>
<ul><li><b>Bachelor's Degree in Mechanical Engineering or equivalent engineering discipline.</b></li>
<li><b>Master's Degree in Mechanical or Piping Engineering is preferred.</b></li>
<li><b>Chartered Engineer (CEng), PE, or equivalent professional certification is advantageous.</b></li>
</ul><div></div><p><b>Experience</b></p>
<ul><li><b>Minimum 18&ndash;20 years of experience in Oil &amp; Gas engineering.</b></li>
<li><b>Minimum 8&ndash;10 years in a Lead Piping Engineer role.</b></li>
<li><b>Significant experience with ADNOC Offshore projects or major EPC contractors.</b></li>
<li><b>Proven experience in FEED, Detailed Design, EPC, Brownfield, and Greenfield developments.</b></li>
<li><b>Extensive offshore platform and processing facility experience.</b></li>
</ul><p><b>Strong knowledge of Middle East offshore oil and gas projects.</b></p></div></div><p></p>

Lead Piping Engineer – Offshore Island Project

<div>
 <p>
  The Data Quality Specialist will be responsible for reviewing, validating, cleansing, and improving the quality of organizational data across enterprise systems, databases, reports, dashboards, and operational records.
 </p>
 <p>
  The candidate will help ensure that data used for operations, reporting, dashboards, integrations, and decision-making is accurate, complete, consistent, valid, and reliable.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Key Responsibilities
 </p>
 <p>
  Perform data profiling to identify missing, duplicate, invalid, inconsistent, or outdated records.
 </p>
 <p>
  Review data across enterprise systems, CRM, databases, reports, dashboards, and Excel files.
 </p>
 <p>
  Define and apply data validation rules for mandatory fields, formats, codes, reference values, and business rules.
 </p>
 <p>
  Identify data quality issues and prepare clear issue logs for resolution.
 </p>
 <p>
  Support data cleansing activities in coordination with business and technical teams.
 </p>
 <p>
  Validate data updates, corrections, migrations, and system changes.
 </p>
 <p>
  Reconcile data between source systems, reports, dashboards, and operational records.
 </p>
 <p>
  Work with Data Engineers to resolve mapping issues, pipeline issues, and integration-related data errors.
 </p>
 <p>
  Prepare data quality reports showing issue counts, root causes, trends, and resolution status.
 </p>
 <p>
  Support report accuracy by validating source data and dashboard outputs.
 </p>
 <p>
  Maintain data quality documentation, validation rules, cleansing logs, and issue trackers.
 </p>
 <p>
  Ensure data confidentiality, privacy, governance, and compliance requirements are followed.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Required Skills
 </p>
 <p>
  Good SQL knowledge for data checking, validation, and analysis.
 </p>
 <p>
  Strong Excel skills, including filtering, formulas, lookup functions, and data comparison.
 </p>
 <p>
  Experience in data profiling, data cleansing, data validation, and data reconciliation.
 </p>
 <p>
  Understanding of data quality dimensions such as accuracy, completeness, consistency, uniqueness, validity, and timeliness.
 </p>
 <p>
  Ability to identify duplicate records, missing values, wrong formats, and incorrect mappings.
 </p>
 <p>
  Knowledge of databases, reports, dashboards, and enterprise application data.
 </p>
 <ul>
  <li>
   Strong attention to detail, analytical thinking, and communication skills.
  </li>
 </ul>
</div>


Data Quality Analyst

Middle East pioneer Engineering

<p>Job Summary</p><p>We are seeking an experienced MEP Draftsman with 7&ndash;10 years of UAE/GCC experience in District Cooling Plants and Chilled Water Pipeline projects. The candidate will be responsible for preparing detailed shop drawings, coordination drawings, and as-built drawings related to chilled water networks, plant piping systems, and associated MEP services.</p><p>Key Responsibilities</p><ul><li>Prepare shop drawings, detailed drawings, and as-built drawings for chilled water pipeline and district cooling plant projects.</li><li>Draft layouts for CHW supply &amp; return pipelines, valve chambers, expansion joints, and pipe supports.</li><li>Prepare coordinated MEP drawings for pumps, heat exchangers, chillers, piping manifolds, and plant room equipment.</li><li>Coordinate with mechanical, electrical, civil, and instrumentation teams.</li><li>Revise drawings based on site conditions and consultant comments.</li><li>Ensure compliance with ADDC/Tabreed/consultant standards and project specifications.</li><li>Maintain drawing revisions, records, and submission logs.</li><li>Assist engineers in preparing technical submissions and quantity take-offs.</li></ul><p>Requirements</p><p>Diploma or ITI in Mechanical Engineering or related field.</p><p>7&ndash;10 years of experience as an MEP Draftsman.</p><p>Strong experience in District Cooling Plant and Chilled Water Pipeline projects.</p><p>Proficiency in AutoCAD is mandatory.</p><p>Knowledge of Civil 3D and Revit MEP is an added advantage.</p><p>Good understanding of district cooling network layouts, piping isometrics, and plant equipment arrangements.</p><p>UAE/GCC project experience is mandatory.</p><p>Preferred Experience</p><ul><li>District Cooling Plants (DCP)</li><li>Chilled Water Transmission &amp; Distribution Networks</li><li>Pre-insulated Steel Piping Systems</li><li>Valve Chambers &amp; Underground Utility Corridors</li><li>Pump Rooms &amp; Energy Transfer Stations (ETS)</li><li>Plant Room MEP Coordination</li><li>As-built Documentation &amp; Utility Record Drawings</li></ul><p>Immediate joining preferred.</p><p>Pay: AED4,000.00 - AED9,000.00 per month</p><p>Work Location: In person</p>

MEP Draftsman

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>The Principal Full-Stack Architect (.NET &amp; Cloud) is a senior technical leader responsible for defining and driving the architecture of enterprise-scale applications across cloud, backend, frontend, data, DevOps, and AI-enabled solutions. The role combines strategic technology leadership with hands-on technical expertise, ensuring that solutions are scalable, secure, maintainable, and aligned with business objectives
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Drive the full SDLC for Azure solutions: planning, requirement definition, development, testing, and quality assurance.
</p></div><div><p>Develop, enhance, and integrate modules within core applications used by front-office investment teams.
</p></div><div><p>Design and build containerized applications (Docker, Kubernetes/AKS) and cloud-native data stores (Mongo, SQL).
</p></div><div><p>Develop RESTful APIs, microservices, and event-driven systems (Service Bus, Event Hubs) with strict secure-integration standards (OAuth2/OIDC, managed identities).
</p></div><div><p>Build responsive, cloud-connected front-end interfaces (React/TypeScript; real-time via SignalR).
</p></div><div><p>Design and deliver AI-enabled capabilities: document intelligence, retrieval/search (AI Search), and Azure OpenAI-based workloads over structured and unstructured data.
</p></div><div><p>Configure, maintain, and optimize CI/CD pipelines and infrastructure-as-code (Bicep/ARM, Terraform); enable self-service engineering capabilities.
</p></div><div><p>Implement large-scale data processing and advanced analytics solutions in collaboration with architecture and data teams.
</p></div><div><p>Own incident management: troubleshooting, root cause analysis, and preventive measures.
</p></div><div><p>Partner directly with senior IT and business stakeholders; own the platform narrative, adoption strategy, and delivery roadmap.
</p></div><div><p>Mentor cross-functional teams on cloud-native and AI best practices
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Must have:
</p></div><div><p>10+ years overall IT experience with a proven track record of architecting and delivering scalable cloud solutions through all SDLC phases.
</p></div><div><p>10+ years of .NET (C#) development within service-oriented and microservices architectures, including: ASP.NET Core / Web API, Entity Framework Core, async and concurrency patterns, and hands-on migration from .NET Framework to .NET 6/
</p></div><div><p>Production code on a current LTS version is expected; legacy-only (.NET Framework, WebForms) profiles do not qualify.
</p></div><div><p>7+ years hands-on Microsoft Azure: App Services, Functions, Logic Apps, AKS/Container Apps, APIM, Service Bus/Event Hubs, AI Search, AI Services/Azure OpenAI, Storage, Key Vault, Application Insights, Monitor. Skills:
</p></div><div><p>Demonstrated architecture ownership: solution/application architecture defined and delivered end-to-end at enterprise scale, including presenting architectural strategy to senior leadership. Candidates with purely implementation-level experience will not be considered.
</p></div><div><p>5+ years containerization and orchestration (Docker, Kubernetes/AKS) in production.
</p></div><div><p>5+ years Azure DevOps and CI/CD, including infrastructure-as-code (Bicep/ARM mandatory; Terraform preferred).
</p></div><div><p>Practical delivery of AI/GenAI workloads on Azure (Azure OpenAI, AI Search, document intelligence, or equivalent) &mdash; in production, within the last 24 months. Proof-of-concept-only or pre-2024 experience does not qualify.
</p></div><div><p>Deep database expertise: NoSQL (Mongo) and relational SQL, including data access patterns for AI use cases.
</p></div><div><p>Expertise in designing and consuming secure REST APIs; strong understanding of network architecture and authentication protocols (OAuth2/OIDC, managed identities).
</p></div><div><p>Modern front-end delivery: React/TypeScript with real-time capabilities (SignalR).
</p></div><div><p>Experience in regulated environments (financial services / investment management strongly preferred). Required certifications:
</p></div><div><p>Microsoft Certified: Azure Solutions Architect Expert: required. Applications without it are not shortlisted.
</p></div><div><p>Plus at least one of: Azure DevOps Engineer Expert or Azure AI Engineer Associate.
</p></div></div><p>Nice to have
</p><div><div><p>AWS and/or GCP exposure (multi-cloud evaluation experience)
</p></div><div><p>Terraform in production
</p></div><div><p>Python
</p></div><div><p>Databricks (recent, Unity Catalog-era experience) or comparable data/AI platforms; Palantir exposure
</p></div><div><p>Azure Security Engineer Associate
</p></div><div><p>Experience establishing self-service platforms for citizen developers
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C2 Proficient
</p></div></div><div><div><p>Seniority</p>
<p>Lead</p></div></div></div></div></div>
<br><div><div><div><p>Abu Dhabi, United Arab Emirates
</p></div><p>Req. VR-123799
</p></div><div></div><div><div><p>C#/VB.NET
</p></div><div><p>BCM Industry</p>
</div><div><p>07/07/2026
</p></div><div><p>Req. VR-123799</p></div></div></div><p></p>

Principal Full-Stack Architect (.NET & Cloud)

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