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azure technical architect

azure data warehouse engineer

DICETEK LLC

<div><p>As a Data Integration &amp; Architecture Specialist, you will be a pivotal member of our data engineering and architecture team. You will play a crucial role in designing, implementing, and optimizing data integration solutions using data warehouse technologies. This position demands a strong understanding of Azure and Data warehouse solutions, data architecture principles, and the ability to design and administer robust data ecosystems.
</p><p><b>Primary skills:
</b></p><ul><li>Azure, Delta Lake, Data Factory, DataBricks, Python/PySpark
</li><li>SAS DWH<br>
</li></ul><p></p><br>
<ul><li>Bachelor's or master&rsquo;s degree in computer science, Information Technology, or a related field.
</li><li>Should have at least 4 years of experience in data engineering.
</li><li>Should possess at least 3 years of UAE banking experience.
</li><li>Candidates with Azure data products and data warehouse experience will be preferred
</li><li>Strong understanding of data warehousing concepts, ETL processes, and data governance.
</li><li>Knowledge of SQL for data manipulation and querying.
</li><li>Excellent problem-solving and troubleshooting skills.
</li><li>Strong communication and collaboration skills.
</li></ul><p><b>Certifications (Preferred):
</b></p><ul><li>Certified Data Integration Developer
</li><li>Azure Data Engineering Associate</li></ul></div><p></p>

Azure Data (warehouse) Engineer

Confidential

<div>
 <p>
  We are looking for exceptional talent to join our data team. Currently, we have an exciting opportunity for a Data Scientist. We are seeking individuals with deep expertise in data science, a proactive approach, strong collaboration skills, and a passion for cultivating a positive and forward-thinking work environment.
 </p>
 <p>
 </p>
 <p>
  <strong>
   ROLES &amp; RESPONSIBILITIES
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Collaborate with IT and data management teams to ensure the accurate and timely collection of data related to all commercial activities within the airport.
  </li>
  <li>
   Develop and implement sophisticated ETL processes integrating diverse data sources.
  </li>
  <li>
   Design and execute complex data models using statistical and machine learning techniques.
  </li>
  <li>
   Lead analytics projects with Azure Data Lake, Azure Databricks, Data Warehouse, and Power BI.
  </li>
  <li>
   Manage, mentor, and grow a team of data scientists and BI developers.
  </li>
  <li>
   Spearhead the integration of advanced analytics into strategic planning, enhancing forecasting accuracy and market response.
  </li>
  <li>
   Collaborate with business units to translate complex data insights into actionable business strategies.
  </li>
  <li>
   Champion the use of data science in identifying new business opportunities and revenue streams.
  </li>
  <li>
   Act as a bridge between the data analytics team and commercial stakeholders, ensuring that data-driven recommendations are actionable and aligned with business objectives.
  </li>
  <li>
   Explore the use of artificial intelligence (AI) and big data solutions to improve the airport&rsquo;s commercial decision-making processes.
  </li>
  <li>
   Stay updated on the latest trends and developments in data analytics and technology to ensure the airport remains at the forefront of innovation
  </li>
  <li>
   Conduct end-to-end data analysis, modelling, and experimentation using Databricks&rsquo; unified data analytics platform.
  </li>
  <li>
   Apply advanced statistical methods, machine learning, and AI algorithms to solve complex business problems.
  </li>
  <li>
   Build and optimize data science models to support business decisions and operational improvements.
  </li>
  <li>
   Collaborate with data engineers to design and maintain efficient data pipelines, ensuring data quality and integrity.
  </li>
  <li>
   Use Databricks for building scalable, distributed data processing workflows and transforming large datasets for analysis.
  </li>
  <li>
   Optimize workflows for big data applications and automate recurring data tasks.
  </li>
  <li>
   Work closely with data engineering, product, and business teams to translate business requirements into data-driven solutions.
  </li>
  <li>
   Lead discussions on best practices and the integration of Databricks for different teams across the organization.
  </li>
  <li>
   Foster a collaborative environment by sharing insights and promoting data science across departments.
  </li>
  <li>
   Design, develop, and implement machine learning models using Databricks to improve decision-making processes.
  </li>
  <li>
   Leverage Databricks' Machine Learning Runtime for tracking, optimizing, and deploying machine learning models.
  </li>
  <li>
   Ensure scalability and performance of models in production, including real-time scoring and retraining.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Technical skills required
  </strong>
 </p>
 <ul>
  <li>
   Natural Language Processing (NLP) deployment
  </li>
  <li>
   Machine Learning (Azure Databricks)
  </li>
  <li>
   ML experiments and training
  </li>
  <li>
   Deployment of production (MLOps)
  </li>
  <li>
   Take end to end ownership of all ML features
  </li>
  <li>
   Recommendation systems
  </li>
  <li>
   AI Software Engineering
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   EDUCATION AND EXPERIENCE
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   A minimum of 6 years of experience in data science, with advanced proficiency in SQL, Python/R, Azure Databricks, Azure Datafactory and BI tools such as Power BI
  </li>
  <li>
   Strong fundamental knowledge in machine learning, statistical analysis, and predictive modelling.
  </li>
  <li>
   Proficiency in Databricks and Spark for large-scale data processing.
  </li>
  <li>
   Strong experience with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn) and SQL.
  </li>
  <li>
   Expertise in Python, Scala, or R for data science tasks.
  </li>
  <li>
   Experience with cloud platforms ( Azure) and Databricks&rsquo; cloud infrastructure.
  </li>
  <li>
   Excellent problem-solving and analytical thinking.
  </li>
  <li>
   Strong collaboration and communication skills.
  </li>
 </ul>
 <p>
 </p>
</div>


Senior Data Scientist

Durlston Partners

<div></div><div><div><div><div>Data Engineering, Data Science
</div><div>$300,000
</div><div>Abu Dhabi</div><p></p><div><br>
</div></div></div><div><div><div><p><b>Senior Data Engineer &ndash; </b><b>Quantitative Trading Firm &ndash; </b><b>$300,000 (tax-free) &ndash; </b><b>Abu Dhabi, UAE (full relocation assistance provided)</b></p>
<p>
Durlston Partners is partnering with a leading Quant Trading firm that leverages advanced data and technology to execute market-beating strategies. They are seeking a Data Engineer to design, build, and scale the data infrastructure powering research and trading systems, seamless access to high-quality, low-latency data in a high-performance environment.</p>
<p><b>
Responsibilities</b></p>
<ul>
<li>Build and maintain real-time and batch data pipelines for market and research data</li>
<li>Ensure low-latency, high-quality data access for quant researchers and trading systems</li>
<li>Collaborate with quants to integrate datasets and optimize processing.</li>
</ul>
<p><b>Requirements</b></p>
<ul>
<li>3+ years of experience as a Data Engineer</li>
<li>Experience in Big Tech, Quant Trading, Hedge Funds, or Crypto</li>
<li>Proficient in Python</li>
<li>Experience with cloud infrastructure (AWS/Azure)</li>
</ul>
<p><b>Why Join</b></p>
<ul>
<li>Work with top quants on cutting-edge trading data infrastructure</li>
<li>High-impact, technically challenging environment with a collaborative culture</li>
<li>Competitive compensation with performance-based bonuses</li>
<li>Great benefits and full relocation assistance</li></ul></div></div></div></div><p></p>

Senior Data Engineer – UAE

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We are seeking a hands-on and visionary Data Architect to join the Data &amp; AI team. The ideal candidate will play a pivotal role in designing and implementing enterprise-grade data architectures leveraging Microsoft Fabric, Fabric Pipelines, and Notebooks, while driving data integration across enterprise applications.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Data Architecture &amp; Platform Design
</p></div><div><p>Architect and implement enterprise data platforms leveraging Microsoft Fabric, Fabric Pipelines, Notebooks, and Power BI.
</p></div><div><p>Define and maintain end-to-end data architecture blueprints, encompassing ingestion, transformation, storage, and consumption layers.
</p></div><div><p>Establish data modelling standards, metadata management, and lineage tracking frameworks.
</p></div><div><p>Design scalable data pipelines integrating diverse data sources and systems across the organization.
</p></div><div><p>Enterprise &amp; Application Integrations
</p></div><div><p>Lead technical discussions for new data source onboarding and application integrations across business units and applications.
</p></div><div><p>Collaborate with enterprise architects to define integration patterns using APIs, events, and microservices for seamless data exchange.
</p></div><div><p>Ensure interoperability between AI Solutions, ERP, CRM, and bespoke enterprise applications.
</p></div><div><p>Data Strategy &amp; Governance
</p></div><div><p>Contribute to defining data strategy roadmaps supporting digital transformation initiatives.
</p></div><div><p>Manage data governance stream to enforce data quality, cataloging, and compliance frameworks.
</p></div><div><p>Drive data standardization and harmonization across platforms to enable enterprise-wide analytics.
</p></div><div><p>Implementation &amp; Delivery
</p></div><div><p>Translate business requirements into technical blueprints and lead solution design across engineering squads.
</p></div><div><p>Oversee implementation of Fabric-based pipelines and notebooks, ensuring performance, scalability, and security.
</p></div><div><p>Guide data engineers and analysts through technical mentoring, reviews, and architectural alignment.
</p></div><div><p>Innovation &amp; Enablement
</p></div><div><p>Champion the adoption of modern data practices, automation, and self-service analytics enablement.
</p></div><div><p>Drive PoCs and accelerators to integrate AI/ML-ready data architectures.
</p></div><div><p>Continuously evaluate emerging technologies to future-proof the data ecosystem.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Education &amp; Experience:
</p></div><div><p>Bachelor's or Master's degree in Computer Science, Information Systems, or related field.
</p></div><div><p>8-12 years of experience in data architecture, data engineering, or enterprise data platform design.
</p></div><div><p>Proven experience in Microsoft Fabric implementation, including Fabric Pipelines, Notebooks, and Power BI integration.
</p></div><div><p>Strong command of SQL, PySpark, and Python for data transformation and orchestration.
</p></div><div><p>Experience leading data source integrations and application data flow design discussions.
</p></div><div><p>Familiarity with Azure Data Lake, Azure SQL, and data modeling (3NF, Dimensional, Data Vault).
</p></div><div><p>Deep understanding of data governance, cataloguing, and data quality frameworks.
</p></div><div><p>Prior exposure to enterprise-scale integrations involving ERP/CRM platforms (Oracle, Dynamics).
</p></div></div><p>Nice to have
</p><div><div><p>Soft Skills
</p></div><div><p>Strong analytical and architectural problem-solving skills.
</p></div><div><p>Excellent communication and ability to articulate complex data concepts to technical and business stakeholders.
</p></div><div><p>Collaborative mindset, capable of working across multi-disciplinary teams.
</p></div><div><p>Strategic thinker with an execution-driven attitude.
</p></div><div><p>Preferred Certifications
</p></div><div><p>Microsoft Certified: Fabric Analytics Engineer Associate
</p></div><div><p>Azure Data Engineer Associate or equivalent certifications
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C1 Advanced
</p></div></div><div><div><p>Seniority</p>
<p>Lead</p></div></div></div></div></div>
<br><div><div><div><p>Abu Dhabi, United Arab Emirates
</p></div><p>Req. VR-118739
</p></div><div></div><div><div><p>Data Architecture
</p></div><div><p>BCM Industry</p>
</div><div><p>13/11/2025
</p></div><div><p>Req. VR-118739</p></div></div></div><p></p>

Data Architect

Em Green Contracting & General Maintenance

<p><b>Job Title:</b> Civil Site Engineer &ndash; Warehouse Construction Experience</p><p><b>Job Responsibilities:</b></p><ul><li>Supervise and manage day-to-day site construction activities for <b>warehouse projects</b>.</li><li>Review and interpret <b>construction drawings, structural layouts, and architectural plans</b>.</li><li>Plan, monitor, and execute works related to <b>footings, steel structures, C-channels, purlins, and sandwich panel installation</b>.</li><li>Ensure all civil, structural, and finishing works are carried out as per <b>approved drawings, specifications, and UAE construction standards</b>.</li><li>Coordinate with <b>MEP, safety, and subcontractor teams</b> to ensure smooth site progress.</li><li>Prepare <b>daily site reports, progress reports, and material consumption logs</b>.</li><li>Verify material quality and quantity as per approved submittals and ensure proper site storage and handling.</li><li>Conduct inspections and ensure <b>compliance with HSE regulations</b> and company policies.</li><li>Coordinate with consultants, clients, and authorities (e.g., <b>ADM, Civil Defense, Municipality</b>) for inspections and approvals.</li><li>Assist in preparing <b>as-built drawings</b> and documentation for project handover.</li><li>Manage manpower allocation and site productivity to meet project deadlines.</li></ul><p><b>Requirements:</b></p><ul><li>Ready to Join (Immediately)</li><li><b>Bachelor&rsquo;s Degree in Civil Engineering</b> (or equivalent).</li><li>Minimum <b>5 years of experience</b> in UAE construction industry (preferably warehouse / industrial buildings).</li><li>Strong knowledge of <b>C-channel structures, sandwich panel works, foundation and footing detailing</b>.</li><li>Familiar with <b>UAE construction codes and authority approval procedures</b>.</li><li>Excellent communication, coordination, and reporting skills.</li><li>UAE <b>driving license</b></li></ul><p>Job Type: Full-time</p>

Civil Site Engineer (Ware House Cost Exper)

botim

<div>
 <p>
  <strong>
   <u>
    Role Summary
   </u>
   :
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for a
  <strong>
   Senior LLM Engineer
  </strong>
  with deep expertise in
  <strong>
   Large Language Model development, orchestration, and application engineering
  </strong>
  . The ideal candidate has 3&ndash;5 years of hands-on experience building and deploying AI systems using
  <strong>
   LangChain
  </strong>
  ,
  <strong>
   LangGraph
  </strong>
  , and related frameworks. You will be responsible for designing, implementing, and optimizing complex, multi-agent LLM applications that drive real business value.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Key Responsibilities
   </u>
   :
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Design, build, and optimize
   <strong>
    LLM-based systems
   </strong>
   leveraging
   <strong>
    LangChain, LangGraph, and vector databases
   </strong>
   .
  </li>
  <li>
   Develop and maintain
   <strong>
    modular prompt pipelines, agents, and tools
   </strong>
   that enable dynamic reasoning and contextual understanding.
  </li>
  <li>
   Integrate
   <strong>
    LLMs with APIs, databases, and internal tools
   </strong>
   for seamless automation and data interaction.
  </li>
  <li>
   Fine-tune, evaluate, and deploy
   <strong>
    foundation models
   </strong>
   (e.g., OpenAI, Anthropic, Mistral, Llama) for domain-specific applications.
  </li>
  <li>
   Implement
   <strong>
    retrieval-augmented generation (RAG)
   </strong>
   and
   <strong>
    knowledge graph reasoning
   </strong>
   pipelines.
  </li>
  <li>
   Collaborate with cross-functional teams &mdash; product managers, data engineers, and researchers &mdash; to bring LLM-driven products to life.
  </li>
  <li>
   Contribute to
   <strong>
    LLM system architecture design
   </strong>
   , ensuring scalability, maintainability, and performance.
  </li>
  <li>
   Stay current with emerging
   <strong>
    AI frameworks, model APIs, and orchestration patterns
   </strong>
   .
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Key requirements
   </u>
   :
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Master&rsquo;s degree
   </strong>
   or
   <strong>
    Degree
   </strong>
   in Computer Science, Artificial Intelligence, or a related field.
  </li>
  <li>
   3&ndash;5 years of experience developing with
   <strong>
    LangChain
   </strong>
   and
   <strong>
    LangGraph
   </strong>
   in production environments.
  </li>
  <li>
   Strong proficiency in
   <strong>
    Python/Java Scripts
   </strong>
   and
   <strong>
    LLM APIs
   </strong>
   (OpenAI, Anthropic, Hugging Face, etc.).
  </li>
  <li>
   Experience with
   <strong>
    RAG pipelines, embeddings, and vector databases
   </strong>
   .
  </li>
  <li>
   Solid understanding of
   <strong>
    prompt engineering
   </strong>
   ,
   <strong>
    LLM evaluation
   </strong>
   , and
   <strong>
    tool/agent design
   </strong>
   .
  </li>
  <li>
   Experience with
   <strong>
    Docker
   </strong>
   ,
   <strong>
    Git
   </strong>
   , and modern cloud environments (e.g. Azure or AWS etc.).
  </li>
  <li>
   Experience with
   <strong>
    multi-agent systems
   </strong>
   ,
   <strong>
    function calling
   </strong>
   , and
   <strong>
    graph-based orchestration
   </strong>
   .
  </li>
  <li>
   Familiarity with
   <strong>
    LangSmith
   </strong>
   or
   <strong>
    LLMOps
   </strong>
   tools for observability and performance tracking.
  </li>
  <li>
   Knowledge of
   <strong>
    data pipelines, ETL systems, or microservice architectures
   </strong>
   .
  </li>
  <li>
   Prior work in
   <strong>
    AI product development
   </strong>
   ,
   <strong>
    chatbot orchestration
   </strong>
   , or
   <strong>
    automation systems
   </strong>
   .
  </li>
 </ul>
 <p>
 </p>
</div>


Senior LLM Engineer (AI engineer)

Explore 1034+ Azure data warehouse engineer in House Technical Support Section Head Jobs In Revit Jobs In Abu Dhabi United Arab Emirates this November. Find roles across top companies and apply now to boost your career.

1034 azure data warehouse engineer jobs IN House Technical Support Section Head Jobs In Revit Jobs In Abu Dhabi United Arab Emirates

Azure Data (warehouse) Engineer

Azure Data (warehouse) Engineer

Senior Data Scientist

Senior Data Engineer – UAE

Data Architect

Civil Site Engineer (Ware House Cost Exper)

Senior LLM Engineer (AI engineer)