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azure data (warehouse) engineer

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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)

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