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ai engineer (6 months contract) Jobs in Abu Dhabi

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data engineer 6 months contract

Contango

<div>
 
 Contract duration:
 
 6 months (with a potential extension)
 
 
 
 Engagement Type:
 
 Full-time
 
 
 
 Start date:
 
 July 2026
 
 
 
 Location:
 
 Abu Dhabi (on-site)
 
 
 
 Role Overview
 
 
 
 We are seeking an experienced Data Engineer to design, build, and operate scalable, secure, and reliable data pipelines and platforms that power analytics and AI solutions for companies in the UAE. The role is hands-on and client-facing, owning data solutions end-to-end &mdash; from architecture and development to production and hypercare &ndash; on cloud and on-premise.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and maintain scalable batch and streaming data pipelines (ETL/ELT) that move data reliably from source systems to analytics and AI workloads.
 </li>
 <li>
 Build and optimize data models, databases, data warehouses, and lakehouse architectures (e.g., Databricks, Microsoft SQL Server) for performance and cost.
 </li>
 <li>
 Develop and tune distributed processing jobs using Spark/PySpark, including cluster management and optimization.
 </li>
 <li>
 Ensure data quality and data governance across the full data lifecycle (collection, access, storage, transformation, retention).
 </li>
 <li>
 Productionize pipelines with CI/CD, orchestration (e.g., Airflow, Azure Data Factory), monitoring, and alerting.
 </li>
 <li>
 Build the data foundation for analytics and AI use cases, collaborating closely with Data Scientists and AI Engineers (e.g., feature engineering, RAG data processing).
 </li>
 <li>
 Translate client business requirements into data architecture decisions and communicate trade-offs to technical and non-technical stakeholders.
 </li>
 <li>
 Maintain technical documentation, data lineage, and delivery artifacts across Design, Build, UAT, Production &amp; Hypercare.
 
 
 </li>
 </ul>
 
 Candidate Requirements
 
 
 
 <ul>
 <li>
 Demonstrated experience delivering AI solutions in an enterprise or client-facing/consulting environment.
 </li>
 <li>
 Prior experience at management consulting firms and/or Big Tech is an advantage.
 </li>
 <li>
 Strong programming in Python and SQL with solid software engineering fundamentals.
 </li>
 <li>
 Hands-on experience with Spark/PySpark and big-data processing at scale.
 </li>
 <li>
 Proven experience building production ETL/ELT pipelines.
 </li>
 <li>
 Practical knowledge of a major cloud data stack &mdash; Azure, AWS, or GCP.
 </li>
 <li>
 Experience with a modern data platform (Databricks, Snowflake, or equivalent).
 </li>
 <li>
 Familiarity with orchestration, CI/CD, and DevOps (e.g., Airflow, Git, Docker).
 </li>
 <li>
 Understanding of data warehousing concepts, data modeling, data governance, and security best practices.
 </li>
 <li>
 Experience with dashboard or frontend engineering is a plus.
 </li>
 <li>
 Strong collaboration and communication skills, with the ability to work directly with clients.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or Master&rsquo;s degree in Computer Science, Engineering, Information Technology, or a related field.
 </li>
 <li>
 3&ndash;6 years of experience in data engineering, building and operating data pipelines at scale.
 </li>
 <li>
 Preferred certifications: cloud data certifications such as Azure Data Engineer, AWS Data Engineer, or Databricks Data Engineer.
 </li>
 </ul>
</div>

Data Engineer (6 months contract)

<div>Contract duration: 6 months (with a potential extension) 
Engagement Type: Full-time 
Start date: July 2026 
Location: Abu Dhabi (on-site)
Role Overview
We are seeking an experienced Data Engineer to design, build, and operate scalable, secure, and reliable data pipelines and platforms that power analytics and AI solutions for companies in the UAE. The role is hands-on and client-facing, owning data solutions end-to-end &mdash; from architecture and development to production and hypercare &ndash; on cloud and on-premise. 
 
Key Responsibilities<ul><li>
Design, build, and maintain scalable batch and streaming data pipelines (ETL/ELT) that move data reliably from source systems to analytics and AI workloads.</li><li>
Build and optimize data models, databases, data warehouses, and lakehouse architectures (e.g., Databricks, Microsoft SQL Server) for performance and cost.</li><li>
Develop and tune distributed processing jobs using Spark/PySpark, including cluster management and optimization.</li><li>
Ensure data quality and data governance across the full data lifecycle (collection, access, storage, transformation, retention).</li><li>
Productionize pipelines with CI/CD, orchestration (e.g., Airflow, Azure Data Factory), monitoring, and alerting.</li><li>
Build the data foundation for analytics and AI use cases, collaborating closely with Data Scientists and AI Engineers (e.g., feature engineering, RAG data processing).</li><li>
Translate client business requirements into data architecture decisions and communicate trade-offs to technical and non-technical stakeholders.</li><li>
Maintain technical documentation, data lineage, and delivery artifacts across Design, Build, UAT, Production &amp; Hypercare.</li></ul> 
Candidate Requirements<ul><li>
Demonstrated experience delivering AI solutions in an enterprise or client-facing/consulting environment.</li><li>
Prior experience at management consulting firms and/or Big Tech is an advantage.</li><li>
Strong programming in Python and SQL with solid software engineering fundamentals.</li><li>
Hands-on experience with Spark/PySpark and big-data processing at scale.</li><li>
Proven experience building production ETL/ELT pipelines.</li><li>
Practical knowledge of a major cloud data stack &mdash; Azure, AWS, or GCP.</li><li>
Experience with a modern data platform (Databricks, Snowflake, or equivalent).</li><li>
Familiarity with orchestration, CI/CD, and DevOps (e.g., Airflow, Git, Docker).</li><li>
Understanding of data warehousing concepts, data modeling, data governance, and security best practices.</li><li>
Experience with dashboard or frontend engineering is a plus.</li><li>
Strong collaboration and communication skills, with the ability to work directly with clients.</li></ul> 
Qualifications<ul><li>
Bachelor's or Master&rsquo;s degree in Computer Science, Engineering, Information Technology, or a related field.</li><li>
3&ndash;6 years of experience in data engineering, building and operating data pipelines at scale.</li><li>
Preferred certifications: cloud data certifications such as Azure Data Engineer, AWS Data Engineer, or Databricks Data Engineer.</li></ul></div>

Norton Blake

<div>
 
 
 Senior Erwin Data Modeler, 6 months Contract, Start ASAP, UAE, Erwin
 
 
 
 
 
 
 We're looking for an experienced
 
 Erwin Data Modeler
 
 to lead the establishment of an enterprise data modelling capability for a large-scale transformation programme.
 
 
 
 
 
 This will be a long term contract (initially 6months), UAE based on site 5 days a week.
 
 
 
 
 
 This is a hands-on role where you'll be responsible for designing and governing conceptual, logical and physical data models while helping shape enterprise-wide data standards and governance.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Configure and administer Erwin Data Modeler and Erwin Mart
 </li>
 <li>
 Design conceptual, logical and physical data models
 </li>
 <li>
 Define and document authoritative data registers
 </li>
 <li>
 Develop physical models for IBM DB2 Warehouse and Databricks Delta Lake
 </li>
 <li>
 Reverse engineer existing database structures where required
 </li>
 <li>
 Ensure full traceability between business requirements and data models
 </li>
 <li>
 Work closely with data governance and metadata teams, including Microsoft Purview
 </li>
 <li>
 Produce modelling documentation and approval packs
 </li>
 <li>
 Facilitate stakeholder workshops and drive modelling best practice
 </li>
 </ul>
 
 
 
 
 
 Essential Experience
 
 
 <ul>
 <li>
 Extensive commercial experience with Erwin Data Modeler
 </li>
 <li>
 Strong background in conceptual, logical and physical data modelling
 </li>
 <li>
 Experience administering Erwin Mart
 </li>
 <li>
 IBM DB2 Warehouse experience
 </li>
 <li>
 Databricks Delta Lake knowledge
 </li>
 <li>
 Enterprise Data Governance and Metadata Management
 </li>
 <li>
 Data lineage and traceability
 </li>
 <li>
 Strong stakeholder engagement and workshop facilitation skills
 </li>
 </ul>
 
 
 
 
 
 Highly Desirable
 
 
 <ul>
 <li>
 Microsoft Purview
 </li>
 <li>
 Government or public sector experience
 </li>
 <li>
 Enterprise Architecture
 </li>
 <li>
 Data governance frameworks
 </li>
 <li>
 GIM / UDM knowledge
 </li>
 </ul>
 
 
 
 
 If you're an experienced Enterprise Data Modeller with deep Erwin expertise and are looking for your next contract, we'd love to hear from you.
 
 
 
 
</div>

Data Modeler

<div>Contract duration: 6 months (with a potential extension) 
Engagement Type: Full-time 
Start date: July 2026 
Location: Abu Dhabi (on-site)
Role Overview
We are seeking an experienced AI Engineer to design, build, and deploy production-grade AI systems &mdash; primarily LLM-powered applications, RAG pipelines, and agentic workflows &mdash; that solve real client business problems in the UAE. The role combines applied AI expertise with solid software and data engineering foundations, with hands-on ownership from prototype to production and hypercare. 
 
Key Responsibilities<ul><li>
Design and deliver end-to-end LLM applications: scope the use case, build, evaluate, deploy, and hand over reliable, observable services.</li><li>
Build and optimize RAG pipelines: data parsing, ingestion, chunking, embeddings, vector search, re-ranking, and context-window optimization.</li><li>
Design and orchestrate agentic workflows for reasoning, planning, and task execution.</li><li>
Build evaluation and observability: define metrics (accuracy, latency, cost-per-task), run eval pipelines, and monitor systems in production.</li><li>
Integrate AI components into client applications via secure backend APIs; collaborate with data, software, and DevSecOps teams.</li><li>
Engineer the supporting data layer: pipelines, feature/embedding stores, and data quality for AI workloads on cloud platforms.</li><li>
Manage the full lifecycle: deployment, monitoring, versioning, rollback readiness, and cost/performance optimization.</li><li>
Translate business problems into AI solutions and communicate model capabilities, limitations, and trade-offs clearly to clients and stakeholders.</li><li>
Maintain technical documentation, runbooks, and delivery artifacts across Design &amp; Align Build UAT Production &amp; Hypercare.</li></ul> 
Candidate Requirements<ul><li>
Demonstrated experience delivering AI solutions in an enterprise or client-facing/consulting environment.</li><li>
Prior experience at management consulting firms and/or Big Tech is an advantage.</li><li>
Strong Python and solid software engineering fundamentals.</li><li>
Hands-on LLM APIs (Anthropic, OpenAI, Azure OpenAI), including tokenization, latency, and cost control.</li><li>
Proven RAG architecture experience with vector databases (e.g., Azure AI Search, Qdrant, Chroma, Pinecone, FAISS).</li><li>
Experience with agent/orchestration frameworks (e.g., LangChain, LangGraph, CrewAI).</li><li>
Evaluation and observability skills for production AI (eval pipelines, LLM-as-judge, monitoring).</li><li>
Working knowledge of a major cloud AI/data stack (Azure, AWS, or GCP) and MLOps tooling (e.g., MLflow, Docker).</li><li>
Solid data engineering skills: SQL, distributed processing (e.g., Spark/Databricks).</li><li>
Strong collaboration and communication skills &mdash; able to work with both technical teams and senior client stakeholders.</li></ul> 
Qualifications<ul><li>
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.</li><li>
3&ndash;6 years of experience building and shipping AI/ML solutions into production.</li><li>
Preferred certifications (nice to have): cloud AI certifications (Azure AI Engineer, AWS ML, Databricks GenAI Engineer).</li></ul></div>

AI Engineer (6 months contract)

<div>
 
 Contract duration:
 
 6 months (with a potential extension)
 
 
 
 Engagement Type:
 
 Full-time
 
 
 
 Start date:
 
 July 2026
 
 
 
 Location:
 
 Abu Dhabi (on-site)
 
 
 
 Role Overview
 
 
 
 We are seeking an experienced AI Engineer to design, build, and deploy production-grade AI systems &mdash; primarily LLM-powered applications, RAG pipelines, and agentic workflows &mdash; that solve real client business problems in the UAE. The role combines applied AI expertise with solid software and data engineering foundations, with hands-on ownership from prototype to production and hypercare.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and deliver end-to-end LLM applications: scope the use case, build, evaluate, deploy, and hand over reliable, observable services.
 </li>
 <li>
 Build and optimize RAG pipelines: data parsing, ingestion, chunking, embeddings, vector search, re-ranking, and context-window optimization.
 </li>
 <li>
 Design and orchestrate agentic workflows for reasoning, planning, and task execution.
 </li>
 <li>
 Build evaluation and observability: define metrics (accuracy, latency, cost-per-task), run eval pipelines, and monitor systems in production.
 </li>
 <li>
 Integrate AI components into client applications via secure backend APIs; collaborate with data, software, and DevSecOps teams.
 </li>
 <li>
 Engineer the supporting data layer: pipelines, feature/embedding stores, and data quality for AI workloads on cloud platforms.
 </li>
 <li>
 Manage the full lifecycle: deployment, monitoring, versioning, rollback readiness, and cost/performance optimization.
 </li>
 <li>
 Translate business problems into AI solutions and communicate model capabilities, limitations, and trade-offs clearly to clients and stakeholders.
 </li>
 <li>
 Maintain technical documentation, runbooks, and delivery artifacts across Design &amp; Align &rarr; Build &rarr; UAT &rarr; Production &amp; Hypercare.
 
 
 </li>
 </ul>
 
 Candidate Requirements
 
 
 
 <ul>
 <li>
 Demonstrated experience delivering AI solutions in an enterprise or client-facing/consulting environment.
 </li>
 <li>
 Prior experience at management consulting firms and/or Big Tech is an advantage.
 </li>
 <li>
 Strong Python and solid software engineering fundamentals.
 </li>
 <li>
 Hands-on LLM APIs (Anthropic, OpenAI, Azure OpenAI), including tokenization, latency, and cost control.
 </li>
 <li>
 Proven RAG architecture experience with vector databases (e.g., Azure AI Search, Qdrant, Chroma, Pinecone, FAISS).
 </li>
 <li>
 Experience with agent/orchestration frameworks (e.g., LangChain, LangGraph, CrewAI).
 </li>
 <li>
 Evaluation and observability skills for production AI (eval pipelines, LLM-as-judge, monitoring).
 </li>
 <li>
 Working knowledge of a major cloud AI/data stack (Azure, AWS, or GCP) and MLOps tooling (e.g., MLflow, Docker).
 </li>
 <li>
 Solid data engineering skills: SQL, distributed processing (e.g., Spark/Databricks).
 </li>
 <li>
 Strong collaboration and communication skills &mdash; able to work with both technical teams and senior client stakeholders.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
 </li>
 <li>
 3&ndash;6 years of experience building and shipping AI/ML solutions into production.
 </li>
 <li>
 Preferred certifications (nice to have): cloud AI certifications (Azure AI Engineer, AWS ML, Databricks GenAI Engineer).
 </li>
 </ul>
</div>

M.A.H.Y Khoory & Co

Job Title: Mechanical Engineer (Temporary &ndash; 6 Months)Location: Abudhabi, Kizad Contract Type: Temporary (6 Months)We will provide 1 year employment visa and medical InsuranceJob Purpose:We are looking for a Mechanical Engineer to support engineering and design activities for ongoing projects. The candidate should have strong mechanical design knowledge with experience in creating technical drawings and coordinating with project requirements.Key Responsibilities:<ul><li>Prepare and develop mechanical design drawings and layouts.</li><li>Create and review 2D and 3D models using design software.</li><li>Support engineering calculations and technical documentation.</li><li>Coordinate with internal departments to ensure project requirements are met.</li><li>Review design specifications and ensure compliance with project standards.</li><li>Assist in project execution and provide technical support when required.</li><li>Maintain design records and update engineering documents.</li><li>Support troubleshooting and continuous improvement activities.</li></ul>Requirements:<ul><li>Bachelor&rsquo;s Degree / B.Tech in Mechanical Engineering.</li><li>Experience in Oil &amp; Gas, heavy machinery, machine parts, construction design, or related industries (UAE / home country experience).</li><li>Strong experience in 3D AutoCAD design.</li><li>Proficiency in SolidWorks, Autodesk Inventor, AutoCAD, or similar design software.</li><li>Knowledge of MEP design concepts will be an advantage.</li><li>Good communication skills in English.</li><li>Immediate availability preferred.</li></ul>Pay: AED5,000.00 - AED6,000.00 per monthWork Location: In person

MEP and Fabrication Design Engineer ( Temporary)

TALENTMATE

<div>
 
 Job Description
 
 
 
 
 Contract duration:
 
 6 months (with a potential extension)
 
 
 
 Engagement Type:
 
 Full-time
 
 
 
 Start date:
 
 July 2026
 
 
 
 Location:
 
 Abu Dhabi (on-site)
 
 
 
 Role Overview
 
 
 
 We are seeking an experienced AI Engineer to design, build, and deploy production-grade AI systems &mdash; primarily LLM-powered applications, RAG pipelines, and agentic workflows &mdash; that solve real client business problems in the UAE. The role combines applied AI expertise with solid software and data engineering foundations, with hands-on ownership from prototype to production and hypercare.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and deliver end-to-end LLM applications: scope the use case, build, evaluate, deploy, and hand over reliable, observable services.
 </li>
 <li>
 Build and optimize RAG pipelines: data parsing, ingestion, chunking, embeddings, vector search, re-ranking, and context-window optimization.
 </li>
 <li>
 Design and orchestrate agentic workflows for reasoning, planning, and task execution.
 </li>
 <li>
 Build evaluation and observability: define metrics (accuracy, latency, cost-per-task), run eval pipelines, and monitor systems in production.
 </li>
 <li>
 Integrate AI components into client applications via secure backend APIs; collaborate with data, software, and DevSecOps teams.
 </li>
 <li>
 Engineer the supporting data layer: pipelines, feature/embedding stores, and data quality for AI workloads on cloud platforms.
 </li>
 <li>
 Manage the full lifecycle: deployment, monitoring, versioning, rollback readiness, and cost/performance optimization.
 </li>
 <li>
 Translate business problems into AI solutions and communicate model capabilities, limitations, and trade-offs clearly to clients and stakeholders.
 </li>
 <li>
 Maintain technical documentation, runbooks, and delivery artifacts across Design &amp; Align &rarr; Build &rarr; UAT &rarr; Production &amp; Hypercare.
 
 
 </li>
 </ul>
 
 Candidate Requirements
 
 
 
 <ul>
 <li>
 Demonstrated experience delivering AI solutions in an enterprise or client-facing/consulting environment.
 </li>
 <li>
 Prior experience at management consulting firms and/or Big Tech is an advantage.
 </li>
 <li>
 Strong Python and solid software engineering fundamentals.
 </li>
 <li>
 Hands-on LLM APIs (Anthropic, OpenAI, Azure OpenAI), including tokenization, latency, and cost control.
 </li>
 <li>
 Proven RAG architecture experience with vector databases (e.g., Azure AI Search, Qdrant, Chroma, Pinecone, FAISS).
 </li>
 <li>
 Experience with agent/orchestration frameworks (e.g., LangChain, LangGraph, CrewAI).
 </li>
 <li>
 Evaluation and observability skills for production AI (eval pipelines, LLM-as-judge, monitoring).
 </li>
 <li>
 Working knowledge of a major cloud AI/data stack (Azure, AWS, or GCP) and MLOps tooling (e.g., MLflow, Docker).
 </li>
 <li>
 Solid data engineering skills: SQL, distributed processing (e.g., Spark/Databricks).
 </li>
 <li>
 Strong collaboration and communication skills &mdash; able to work with both technical teams and senior client stakeholders.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
 </li>
 <li>
 3&ndash;6 years of experience building and shipping AI/ML solutions into production.
 </li>
 <li>
 Preferred certifications (nice to have): cloud AI certifications (Azure AI Engineer, AWS ML, Databricks GenAI Engineer).
 
 
 </li>
 </ul>
 Job Details
 
 
 Role Level: Not Applicable Work Type: Contract Country: United Arab Emirates City: Abu Dhabi Company Website: https://contango.ae/ Job Function: Data Science &amp; AI Company Industry/
 
 
 Sector: Other
 
 
 What We Offer
 
 
 
 About The Company
 
 
 
 Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.
 
 
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</div>

AI Engineer 6 Months Contract

Explore 447+ Data engineer 6 months contract in Abu Dhabi this July. Find roles across top companies and apply now to boost your career.

447 data engineer 6 months contract jobs In Abu Dhabi

Data Engineer (6 months contract)

Data Engineer (6 months contract)

Data Modeler

AI Engineer (6 months contract)

AI Engineer (6 months contract)

MEP and Fabrication Design Engineer ( Temporary)

AI Engineer 6 Months Contract