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full stack engineer

ai platform application engineer

Nagarro

<div>
 
 Job Description
 
 
 
 Build and implement
 
 production-ready AI solutions
 
 including LLM pipelines, RAG systems, Conversational AI, and ML services on
 
 Azure
 
 . Ensure reliability, scalability, and continuous improvement across AI workloads.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Develop modular Python code for LLM, RAG, and ML components.
 </li>
 <li>
 Build APIs, orchestration scripts, and integration layers for enterprise apps.
 </li>
 <li>
 Implement RAG workflows, vector DB configurations, and prompt engineering.
 </li>
 <li>
 Deploy and monitor AI models using containerization and CI/CD pipelines.
 </li>
 <li>
 Collaborate with architects and product teams to refine designs and deliverables.
 
 
 </li>
 </ul>
 
 Must-Have Skills:
 
 
 
 <ul>
 <li>
 Data Science on Azure, Generative AI Fundamentals, Machine Learning Solution Design
 </li>
 <li>
 Python (Strong) and advanced RAG Workflow experience
 </li>
 <li>
 Hands-on with agentic GenAI components and ML pipelines
 
 
 </li>
 </ul>
 Arabic proficiency is a plus.
</div>

AI Platform & Application Engineer

Deeplight

<div>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
We are seeking a skilled AWS Glue Data Engineer to join our Data Factory Squad, responsible for migrating source systems into the Lakehouse ingestion zone. This role focuses on building scalable ingestion pipelines, optimizing performance, and ensuring compliance with architectural and data assurance standards.
You will ideally have experience working in financial services with strong experience in AWS Glue, PySpark, and ETL pipeline development.
Your responsibilities as the AWS Glue Data Engineer will include:<ul>
<li>
Data Ingestion Development</li>
<li><ul><li>Building and implementing AWS Glue jobs for Bronze layer ingestion using defined standards and templates.</li>
<li>Implementing correct loading methods based on source requirements (CDC, full load, delta, snapshot).</li>
<li>Designing and executing historical loading mechanisms to bring legacy data into the Lakehouse.</li>
</ul></li><li>Performance Optimisation</li>
<li><ul><li>Optimising Glue job performance (DPU allocation, parallelization, partitioning) according to best practices.</li>
<li>Collaborating with platform teams to ensure tooling and optimization alignment.</li>
</ul></li><li>Migration &amp; Automation</li>
<li><ul><li>Aggressively migrating source tables to Bronze layer, initially using manual approaches with standards/templates, later leveraging AI-enabled acceleration.</li>
<li>Ensuring jobs are version-controlled and production deployment is automated via Git and Terraform.</li>
</ul></li><li>Governance &amp; Monitoring</li>
<li><ul><li>Implementing source system connectivity into CDP in collaboration with source system owners.</li>
<li>Ensuring jobs comply with data contracts and are properly monitored.</li>
<li>Preparing documentation and handover to operational support teams.</li>
</ul></li><li>Collaboration</li>
<li><ul><li>Working closely with Data Architect for ingestion patterns and standards.</li>
<li>Coordinating with Data Assurance Lead to apply quality checks across all jobs.</li>
<li>Partnering with platform engineers for tooling and optimisation.</li>
</ul></li>
</ul>Requirements
You will have experience in:<ul><li>
AWS Glue, PySpark, and ETL pipeline development;</li></ul><ul>
<li>substantial knowledge of Lakehouse architecture and Medallion design principles;</li>
<li>familiarity with CDC, delta loads, and historical data ingestion strategies; and;</li>
<li>5+ years experience in data engineering roles, with hands-on experience in AWS Glue.</li>
</ul>
You should also have knowledge of:<ul>
<li>
AWS services: Glue, S3, Athena, Lambda;</li>
<li>Git, Terraform for CI/CD automation;</li>
<li>data quality frameworks (e.g., Soda Core);</li>
<li>identifying ways to automate their work / repetitive tasks;</li>
<li>working in a fast-paced environment and deliver aggressive migration targets;</li>
<li>collaborating and communication with different stakeholder levels; and;</li>
<li>working with Jira and agile way of working.</li>
</ul>
As an AI consultancy, our greatest asset is the expertise of our people.
While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.
We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.
You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders.
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.
Benefits
Benefits &amp; Growth Opportunities:<ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.
At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</div>

AWS Glue Data Engineer

The Value Maximizer

<div>
 
 
 Position:
 
 Automation Lead - Data &amp; AI (Power Platform)
 
 
 
 
 Location:
 
 Abu Dhabi
 
 Experience:
 
 12+ Years
 
 
 
 Role Overview
 
 
 
 We are looking for an experienced
 
 Automation Lead
 
 to architect and drive enterprise-wide low-code and automation initiatives using
 
 Microsoft Power Platform
 
 . The ideal candidate will lead solution design, governance, integrations, and delivery while closely partnering with business stakeholders to drive digital transformation and AI-led automation.
 
 
 
 Key Responsibilities
 
 
 
 Architect scalable solutions using
 
 Power Apps, Power Automate, and Copilot Studio
 
 Define governance models, standards, and platform best practicesLead
 
 Dataverse
 
 data modeling and cross-system integrations (ERP/CRM/Custom Applications)Drive automation fitment discussions and end-to-end solution designLead and mentor low-code development teams; ensure delivery qualityEngage business stakeholders to identify automation use cases and ROIPromote AI-driven automation using
 
 Copilot Studio and AI Builder
 
 
 
 
 Requirements
 
 
 
 12+ years of overall application development experience7+ years of leadership experience with
 
 Microsoft Power Platform
 
 Strong hands-on expertise in
 
 Power Apps, Power Automate, Power BI, Dataverse, and Copilot Studio
 
 Proven experience integrating with
 
 SharePoint, Azure services, SQL, ERP/CRM systems
 
 Strong background in
 
 governance, CoE models, and solution architecture
 
 Excellent leadership, communication, and stakeholder management skills
 
 
 
 
 Certifications (Mandatory)
 
 
 
 
 
 PL-600
 
 
 PL-900
 
</div>

Automation Lead

JP Techno Park

Experience - 12+ Years (With Strong Stakeholder experience)Position: Automation Lead &ndash; Data &amp; AI (Power Platform)Location: Abu Dhabi Experience: 10+ YearsRole OverviewWe are looking for an experienced Automation Lead to architect and drive enterprise-wide low-code and automation initiatives using Microsoft Power Platform. The ideal candidate will lead solution design, governance, integrations, and delivery while closely partnering with business stakeholders to drive digital transformation and AI-led automation.Key Responsibilities<ul><li>Architect scalable solutions using Power Apps, Power Automate, and Copilot Studio</li><li>Define governance models, standards, and platform best practices</li><li>Lead Dataverse data modeling and cross-system integrations (ERP/CRM/Custom Applications)</li><li>Drive automation fitment discussions and end-to-end solution design</li><li>Lead and mentor low-code development teams; ensure delivery quality</li><li>Engage business stakeholders to identify automation use cases and ROI</li><li>Promote AI-driven automation using Copilot Studio and AI Builder</li></ul>Requirements<ul><li>10+ years of overall application development experience</li><li>7+ years of leadership experience with Microsoft Power Platform</li><li>Strong hands-on expertise in Power Apps, Power Automate, Power BI, Dataverse, and Copilot Studio</li><li>Proven experience integrating with SharePoint, Azure services, SQL, ERP/CRM systems</li><li>Strong background in governance, CoE models, and solution architecture</li><li>Excellent leadership, communication, and stakeholder management skills</li></ul>Preferred Certifications (Mandatory)<ul><li>PL-600</li><li>PL-900</li></ul>Job Type: Full-timePay: AED20,000.00 - AED22,000.00 per monthExperience:<ul><li>Automation Lead: 10 years (Required)</li><li>Power Apps: 10 years (Required)</li><li>Power Automate: 10 years (Required)</li><li>Copilot Studio: 10 years (Required)</li><li> Application Development: 10 years (Required)</li><li>Stackholder: 10 years (Required)</li><li>Architecture: 10 years (Required)</li><li>Dataverse: 10 years (Required)</li><li>SharePoint: 10 years (Required)</li><li>Azure services: 10 years (Required)</li><li>SQL: 10 years (Required)</li><li>governance: 10 years (Required)</li><li>CoE models: 10 years (Required)</li></ul>License/Certification:<ul><li>PL 600 (Required)</li><li>PL 900 (Required)</li></ul>

Automation Lead- Data & AI (Power Platform)

Qode

Position: Automation Lead – Data & AI (Power Platform): 
Location: Abu DhabiExperience: 12+ Years
 
Role Overview: 
We are looking for an experienced Automation Lead to architect and drive enterprise-wide low-code and automation initiatives using Microsoft Power Platform. The ideal candidate will lead solution design, governance, integrations, and delivery while closely partnering with business stakeholders to drive digital transformation and AI-led automation.
 
Key Responsibilities: 
Architect scalable solutions using Power Apps, Power Automate, and Copilot StudioDefine governance models, standards, and platform best practicesLead Dataverse data modeling and cross-system integrations (ERP/CRM/Custom Applications)Drive automation fitment discussions and end-to-end solution designLead and mentor low-code development teams; ensure delivery qualityEngage business stakeholders to identify automation use cases and ROIPromote AI-driven automation using Copilot Studio and AI Builder
 
Requirements: 
12+ years of overall application development experience7+ years of leadership experience with Microsoft Power PlatformStrong hands-on expertise in Power Apps, Power Automate, Power BI, Dataverse, and Copilot StudioProven experience integrating with SharePoint, Azure services, SQL, ERP/CRM systemsStrong background in governance, CoE models, and solution architectureExcellent leadership, communication, and stakeholder management skills
 
Certifications (Mandatory): 
PL-600PL-900•

Vice President - M&A

<div>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with 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.
The Senior Data Modeller delivers enterprise-wide data foundations in a complex banking environment. The role combines enterprise/domain data modelling, hands-on data analysis, and practical data architecture input to improve how data is structured, understood, and trusted across the organisation.
We value candidates who bring a modern, forward-looking approach e.g., exposure to AI-assisted modelling/discovery and an understanding of how data platforms, metadata and semantic concepts can improve modelling productivity and consistency.
Your responsibilities in this role will include;<ul><li>
Designing and evolving conceptual and logical data models across core banking domains.</li><li>
Performing hands-on SQL analysis to profile datasets, validate definitions, reconcile discrepancies, and identify gaps.</li><li>
Providing modelling-aligned architecture inputs (conformed entities, keys, reference/master data approach, integration patterns, semantic layer considerations).</li><li>
Driving standardisation of data definitions and produce practical artefacts (data dictionary/glossary, mappings, documentation).</li><li>
Partnering with delivery teams to support metadata, lineage, and governance-aligned documentation, and ensure modelling decisions are adopted</li></ul>
Requirements
What we need you to have:<ul>
<li>
5&ndash;10+ years in data modelling and/or hands-on data analysis, ideally in banking/financial services.</li>
<li>Strong conceptual/logical modelling capability and ability to translate business needs into implementable structures.</li>
<li>Strong SQL and confidence working directly with complex datasets.</li>
<li>Strong stakeholder engagement and clear communication/documentation skills.</li>
<li>Enterprise data modelling (banking-grade): can structure domains end-to-end (customer/account/product/transaction etc.) with clear keys, relationships, and definitions.</li>
<li>Hands-on data analyst mindset: strong SQL + profiling/reconciliation; comfortable working directly with messy real-world bank data to prove what&rsquo;s true.</li>
<li>Data architecture awareness: can design models that land well in a lakehouse (layering, conformed entities, semantic alignment) and work across relational + semi/unstructured data.</li>
<li>Delivery + stakeholder execution: can run working sessions, drive decisions, produce usable artefacts (dictionary/glossary/mappings) and keep momentum with platform/engineering teams</li>
</ul>
What we'd like you to have:<ul><li>
Forward-thinking modelling: exposure to AI/GenAI-assisted modelling/discovery (automation of documentation/metadata, semantic modelling concepts, knowledge-graph thinking).</li><li>
Data quality &amp; observability orientation: experience defining critical elements, data quality checks/metrics, and supporting &ldquo;data contracts&rdquo;/early issue detection patterns.</li><li>
Lakehouse + enterprise BI/semantic familiarity: understands how models support analytics/MIS-style consumption and tool rationalisation decisions.</li><li>
Consulting background (nice signal): Big 4 / Accenture / Capgemini or similar (optional, not required).</li></ul>
Benefits
Benefits &amp; Growth Opportunities:<ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.
At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</div>

Senior Data Modeler

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AI Platform & Application Engineer

AWS Glue Data Engineer

Automation Lead

Automation Lead- Data & AI (Power Platform)

Automation Lead

Vice President - M&A

Senior Data Modeler