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azure data engineer -- Jobs in Doha Qatar

azure data engineer --

azure data engineer

Mindstream

We are seeking a highly skilled Azure Data Engineer with extensive experience in building, optimizing, and managing scalable data solutions on Microsoft Azure. The ideal candidate will have hands-on expertise in Azure Databricks, Data Factory, Data Lake Storage, and Event Hub, along with strong programming and data engineering skills.Required Skills and Qualifications:<ul><li>8+ years of experience as an Azure Data Engineer or similar role.</li><li>Strong expertise in Azure Databricks, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), and Event Hub.</li><li>Proficiency in programming languages such as PySpark, Scala, or SQL.</li><li>Experience with data modeling, data warehousing, and big data technologies.</li><li>Knowledge of Delta Lake and other data storage formats.</li><li>Familiarity with data integration tools and techniques.</li><li>Excellent problem-solving skills and attention to detail.</li><li>Knowledge of data governance and data quality best practices.</li><li>Strong communication and collaboration skills.</li><li>Certification in Microsoft Azure Data Engineering or irelated areas is a plus</li><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Do you have a minimum of 8 years of total experience as a Data Engineer or in a similar role?</li><li>How many years of hands-on experience do you have with Azure Databricks?</li><li>How many years of experience do you have working with Azure Data Factory (ADF) and Azure Data Lake Storage (ADLS)?</li><li>Do you have experience with data modeling, data warehousing, and big data technologies?</li><li>What is your current and expected salary? Notice period?</li></ul>

Azure Data Engineer --

Proven experience with Azure DevOps and implementing CI/CD pipelines.<ul><li>Strong knowledge of Azure data services, specifically Azure Databricks and Azure Data Factory.</li><li>Proficiency in Databricks Asset Bundle for Databricks Ci/CD.</li><li>Experience with scripting and automation tools (e.g., PowerShell, Python).</li><li>Experience in implementing selective deployment for ADF data pipelines.</li><li>Understanding of containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus.</li><li>Excellent problem-solving skills and ability to troubleshoot complex CI/CD issues.</li><li>Strong communication skills and ability to collaborate effectively with cross-functional teams.</li><li>Knowledge of security best practices for CI/CD pipelines and Azure environments.</li><li>Detail-oriented with a focus on delivering high-quality, reliable automation solutions.</li><li>Bachelor's degree in Computer Science, Information Technology, or related field.</li><li>Minimum of 5 years of experience in DevOps or related roles.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>How many years of experience do you have working with Azure DevOps?</li><li>Do you have hands-on experience in implementing CI/CD pipelines for Azure data projects?</li><li>Have you worked with Azure Databricks and Azure Data Factory (ADF)?</li><li>Are you familiar with Databricks Asset Bundle for Databricks CI/CD?</li><li>How many years of experience do you have with Python or PowerShell scripting?</li><li>What is your notice period or earliest joining availability?</li><li>What is your current and expected salary? Notice period?</li></ul>

Azure DevOps (Data) Engineer -

Skillspark

<div>
 
 We are looking for an Azure DevOps Engineer for a 6-month extendable contract based in Doha, Qatar. This is an urgent requirement, so candidates available on short notice will be prioritized.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and manage CI/CD pipelines for Azure Databricks and Azure Data Factory.
 </li>
 <li>
 Work closely with data engineering and software development teams to incorporate code changes into automated deployment workflows.
 </li>
 <li>
 Automate deployment activities to improve efficiency and reduce manual tasks.
 </li>
 <li>
 Monitor, diagnose, and resolve issues within CI/CD pipelines to ensure high availability and minimal disruption.
 </li>
 <li>
 Apply best practices for asset bundling, version control, and repository management in Azure DevOps.
 </li>
 <li>
 Maintain and enhance the Azure DevOps environment to support scalability and optimal performance.
 </li>
 <li>
 Uphold security and compliance standards across all deployment activities.
 </li>
 <li>
 Create and maintain documentation for CI/CD processes, procedures, and configurations.
 </li>
 </ul>
 
 
 
 
 
 Key Requirements:
 
 
 <ul>
 <li>
 At least 5 years of experience in DevOps or similar technical roles.
 </li>
 <li>
 Demonstrated expertise in Azure DevOps and CI/CD pipeline implementation.
 </li>
 <li>
 Hands-on experience with Databricks Asset Bundles (DABs).
 </li>
 <li>
 Strong understanding of Azure data services, particularly Azure Databricks and Azure Data Factory.
 </li>
 <li>
 Proficiency in automation and scripting languages such as PowerShell or Python.
 </li>
 <li>
 Experience in enabling selective deployments for ADF pipelines.
 </li>
 <li>
 Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes) is an advantage.
 </li>
 <li>
 Excellent analytical and problem-solving abilities to troubleshoot complex CI/CD challenges.
 </li>
 <li>
 Strong communication and collaboration skills for working across diverse technical teams.
 </li>
 <li>
 Solid grasp of security best practices within CI/CD and Azure environments.
 </li>
 <li>
 Detail-oriented with a commitment to delivering dependable, high-quality automation solutions.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related discipline.
 </li>
 </ul>
</div>

Azure DevOps Engineer

COZMALABS

We are seeking an experienced Data Engineer to join our team on a full-time basis. The ideal candidate will have a strong background in designing, building, and optimizing data pipelines, with a particular focus on enabling AI-driven solutions. This role involves close collaboration with software and AI engineering teams to ensure seamless, reliable data flows and robust cloud-based data integration within Microsoft Azure.Key Responsibilities<ul><li>Design, develop, and maintain scalable data pipelines and ETL processes to support AI initiatives.</li><li>Build and optimize data infrastructure to ensure efficient data management, processing, and storage in Azure cloud environments.</li><li>Collaborate with AI engineers to prepare, structure, and deliver high-quality datasets for machine learning models.</li><li>Ensure data pipelines meet security, reliability, and performance standards.</li><li>Monitor, troubleshoot, and improve pipeline performance to guarantee timely and accurate data delivery.</li><li>Implement data governance practices and ensure compliance with data security policies.</li></ul>Required Qualifications<ul><li>Proven experience as a Data Engineer, particularly in building and maintaining complex pipelines for AI or machine learning projects.</li><li>Strong proficiency in SQL and hands-on experience with relational databases (PostgreSQL, SQL Server) and NoSQL systems (e.g., MongoDB).</li><li>Expertise in Azure-based data solutions such as Azure Data Factory, Azure Synapse, and Azure Databricks.</li><li>Experience with data integration and orchestration tools (e.g., Apache Airflow).</li><li>Proficiency in at least one programming language for data workflows (e.g., Python).</li><li>Solid understanding of data warehousing concepts and best practices.</li><li>Strong analytical and problem-solving abilities.</li><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field.</li><li>Proficiency in English, both written and spoken.</li></ul>Desirable Qualifications<ul><li>Familiarity with machine learning concepts and data preprocessing techniques.</li><li>Knowledge of containerization technologies such as Docker and Kubernetes for deploying data pipelines.</li></ul>Job Type: Full-time

Data Engineer.

hiringplug™

<div>
 
 Job Title:
 
 Senior Data &amp; AI Consultant
 
 
 (Senior Manager / Manager)
 
 
 
 
 
 
 
 
 About the Company &amp; the Role
 
 
 
 
 
 
 
 Our client is a leading
 
 Global Business Consulting firm
 
 with presence in many countries and domains. We are seeking a
 
 Senior Data &amp; AI Consultant
 
 (Manager/Sr. Manager Level) with 8&ndash;12 years ideally with
 
 Big 4 or top-tier consulting experience
 
 , with deep experience in
 
 Data Governance, Data Engineering, and AI/ML Engineering
 
 , with
 
 Microsoft Azure as a mandatory skillset
 
 .
 
 
 
 
 
 This is a
 
 client-facing consulting role
 
 requiring strong technical expertise, strategic advisory capabilities, and leadership presence. You will lead enterprise-level Data &amp; AI transformation programs across GCC markets.
 
 
 
 
 
 Location: The role is based in
 
 Doha, Qatar
 
 with travel across GCC (UAE, KSA) as required.
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 
 1. Data Strategy &amp; Advisory
 
 
 <ul>
 <li>
 Develop enterprise-wide
 
 Data &amp; AI strategies
 
 aligned with business priorities.
 </li>
 <li>
 Assess organizational maturity and design end-to-end transformation roadmaps.
 </li>
 <li>
 Advise on data lifecycle management and
 
 Responsible AI
 
 frameworks.
 </li>
 <li>
 Conduct CXO-level workshops and stakeholder alignment sessions.
 </li>
 </ul>
 
 
 2. Data Architecture &amp; Engineering (Azure-Focused)
 
 
 <ul>
 <li>
 Architect modern data platforms on
 
 Microsoft Azure
 
 with scalability, security, and compliance.
 </li>
 <li>
 Design conceptual/logical/physical data models for operational and analytical workloads.
 </li>
 <li>
 Build batch and real-time data pipelines using
 
 Azure Data Factory, Synapse, Databricks
 
 , etc.
 </li>
 <li>
 Implement governance frameworks including
 
 data quality, metadata, lineage
 
 (Azure Purview).
 </li>
 <li>
 Collaborate with AI teams to ensure robust data readiness for ML workloads.
 </li>
 </ul>
 
 
 3. AI, Machine Learning &amp; Advanced Analytics
 
 
 <ul>
 <li>
 Lead full lifecycle AI/ML solution design and deployment.
 </li>
 <li>
 Build and operationalize ML &amp; Generative AI use cases using Azure ML, OpenAI, Cognitive Services.
 </li>
 <li>
 Implement
 
 MLOps
 
 for CI/CD, monitoring, and model lifecycle governance.
 </li>
 <li>
 Embed Responsible AI principles &mdash; fairness, explainability, transparency.
 </li>
 <li>
 Build end-to-end data-to-model pipelines in collaboration with engineering teams.
 </li>
 </ul>
 
 
 4. Consulting, Pre-Sales &amp; Thought Leadership
 
 
 <ul>
 <li>
 Lead client workshops, PoCs, and pre-sales engagements.
 </li>
 <li>
 Support proposals, solution demos, and value-based use case design.
 </li>
 <li>
 Contribute to thought leadership via whitepapers, blogs, and speaking engagements.
 </li>
 <li>
 Mentor junior team members and cultivate a culture of excellence.
 </li>
 </ul>
 
 
 
 
 
 
 Required Qualifications
 
 
 
 
 
 
 
 
 Education &amp; Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, Data Engineering, AI, Information Systems, or related fields.
 </li>
 <li>
 
 8&ndash;12 years
 
 in Data &amp; AI consulting, architecture, or strategy roles ideally with
 
 Big 4 or top-tier consulting
 
 experience.
 </li>
 <li>
 Strong working knowledge of
 
 Azure ecosystem
 
 (mandatory); familiarity with AWS/GCP is a plus.
 </li>
 <li>
 Experience across industries: Public Sector, FS, Oil &amp; Gas, Government, Healthcare, Utilities.
 </li>
 </ul>
 
 
 
 
 
 
 Technical Expertise
 
 
 
 
 
 
 
 
 A. Data Management
 
 
 <ul>
 <li>
 Azure Data Factory, Synapse Analytics, Data Lake/Delta Lake, Databricks, Event Hubs, Stream Analytics.
 </li>
 <li>
 SQL, Python, Spark.
 </li>
 <li>
 Data modeling (conceptual/logical/physical), ETL/ELT, Data Quality frameworks.
 </li>
 <li>
 Familiarity with Microsoft Fabric and open-source tools (Airflow, Kafka, Presto).
 </li>
 </ul>
 
 
 B. Data Governance &amp; Strategy
 
 
 <ul>
 <li>
 Knowledge of
 
 DAMA-DMBOK, CMMI-DMM
 
 or similar frameworks.
 </li>
 <li>
 Experience with Informatica Governance Suite (Axon, IDQ, EDC, IDMC).
 </li>
 <li>
 Understanding of global data privacy, data sovereignty, and GCC regulatory expectations.
 </li>
 <li>
 Ability to define governance operating models and stewardship frameworks.
 </li>
 </ul>
 
 
 C. AI/ML Engineering
 
 
 <ul>
 <li>
 Python, TensorFlow, PyTorch, Scikit-learn, or Azure ML.
 </li>
 <li>
 Hands-on experience with
 
 Generative AI
 
 (LLMs, RAG, prompt engineering).
 </li>
 <li>
 Strong knowledge of
 
 MLOps
 
 and automated model lifecycle management.
 </li>
 <li>
 Experience in 3+ domains: NLP, Predictive Modeling, Computer Vision, Recommender Systems, Anomaly Detection.
 </li>
 </ul>
 
 
 
 
 
 Consulting &amp; Leadership Skills
 
 
 <ul>
 <li>
 Exceptional client-facing communication and stakeholder management.
 </li>
 <li>
 Ability to translate complex technical concepts into business value.
 </li>
 <li>
 Experience in pre-sales, proposals, and workshops.
 </li>
 <li>
 Strong leadership, mentoring, and delivery management capabilities.
 </li>
 </ul>
 
 
 
 
 
 Preferred Certifications
 
 
 <ul>
 <li>
 Microsoft Certified
 </li>
 <li>
 Azure Data Engineer Associate
 </li>
 <li>
 Azure AI Engineer Associate
 </li>
 <li>
 Azure Solutions Architect
 </li>
 <li>
 DAMA CDMP or equivalent certification
 </li>
 </ul>
 
 
</div>

Senior Data Consultant

Protiviti Middle East Member Firm

<div>
 
 
 Overview:
 
 
 
 We are seeking a Senior Data &amp; AI Consultant with 5+ years of experience spanning data architecture, data governance, and AI/ML solution development.
 
 
 
 
 
 The ideal candidate should have broad exposure across the Data &amp; AI lifecycle - from data strategy and governance to architecture, engineering, and advanced analytics - while specializing in at least one of the following areas: (1) Data Strategy &amp; Governance, or (2) Data Management, or (3) Data Science/AI/ML Engineering. Candidate should be bilingual with full proficiency in Arabic and English.
 
 
 
 
 This role requires strong technical depth, consulting acumen, and client-facing communication skills. The consultant will work with diverse clients across industries, driving enterprise data and AI transformation programs. The role is based in Doha, with travel expected to other Middle Eastern client locations as required.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 1. Data Strategy &amp; Advisory
 
 
 <ul>
 <li>
 Develop and implement enterprise-wide data and AI strategies aligned with business goals.
 </li>
 <li>
 Assess organizational data &amp; AI maturity and define transformation roadmaps.
 </li>
 <li>
 Advise clients on data lifecycle management, and responsible AI adoption.
 </li>
 <li>
 Conduct workshops with CXOs and business leaders to align business priorities with data &amp; AI initiatives.
 </li>
 </ul>
 
 
 
 
 
 2. Data Architecture &amp; Engineering
 
 
 <ul>
 <li>
 Design and implement modern data platforms on Microsoft Azure, ensuring scalability, performance, and compliance.
 </li>
 <li>
 Develop conceptual, logical, and physical data models for operational and analytical use cases.
 </li>
 <li>
 Architect data pipelines for batch and real-time ingestion using Azure Data Factory, Synapse, Databricks, and related tools.
 </li>
 <li>
 Implement data quality, metadata management, and lineage tracking leveraging Azure Purview or equivalent governance tools.
 </li>
 <li>
 Collaborate with AI teams to enable data readiness for AI/ML workloads and ensure seamless integration across the ecosystem.
 </li>
 </ul>
 
 
 
 
 
 3. AI &amp; Advanced Analytics
 
 
 <ul>
 <li>
 Lead AI/ML solution design and deployment, translating business problems into technical AI solutions.
 </li>
 <li>
 Build and operationalize machine learning and Generative AI use cases on Azure (e.g., Azure Machine Learning, OpenAI, Cognitive Services).
 </li>
 <li>
 Implement MLOps practices for CI/CD, model monitoring, and lifecycle management.
 </li>
 <li>
 Ensure Responsible AI practices are embedded - fairness, explainability, transparency, and ethical governance.
 </li>
 <li>
 Collaborate with data teams to develop end-to-end AI pipelines, from data sourcing to model deployment.
 </li>
 </ul>
 
 
 
 
 
 4. Consulting, Pre-Sales &amp; Thought Leadership
 
 
 <ul>
 <li>
 Lead client workshops, PoCs, and pre-sales solutioning across Data and AI engagements.
 </li>
 <li>
 Support proposal development, client demos, and design of value-driven use cases.
 </li>
 <li>
 Contribute to thought leadership through whitepapers, blogs, and conference presentations.
 </li>
 <li>
 Mentor junior consultants and foster a culture of learning and innovation.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 Education &amp; Experience
 
 
 
 Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Engineering, AI, or Information Systems.
 
 
 5+ years of experience in data &amp; AI consulting, architecture, or strategy roles.
 
 
 Experience working with Azure ecosystem and familiarity with one or more of: AWS, GCP.
 
 
 Experience across multiple industries such as Public Sector, Financial Services, Oil &amp; Gas, Government, Healthcare, and Utilities.
 
 
 
 
 
 
 Technical Expertise (Candidates should have expertise in one or more domains)
 
 
 
 
 
 
 
 A. Data Management
 
 
 <ul>
 <li>
 Azure Data Factory, Synapse Analytics, Data Lake, Delta Lake, Databricks, Event Hubs, Stream Analytics.
 </li>
 <li>
 Proficiency in SQL, Python, and Spark.
 </li>
 <li>
 Data Modeling (Conceptual, Logical, Physical), ETL/ELT, Data Quality frameworks.
 </li>
 <li>
 Familiarity with MS Fabric and open-source technologies (Airflow, Kafka, Presto).
 </li>
 </ul>
 
 
 
 
 
 B. Data Governance &amp; Strategy
 
 
 <ul>
 <li>
 Knowledge of DAMA-DMBOK, CMMI-DMM, or equivalent maturity models.
 </li>
 <li>
 Experience with Informatica Data Governance Suite of Solutions (Axon, IDQ, EDC, IDMC).
 </li>
 <li>
 Understanding of global data privacy and sovereignty laws.
 </li>
 <li>
 Ability to define data governance operating models and stewardship structures.
 </li>
 </ul>
 
 
 
 
 
 C. AI/ML Engineering
 
 
 <ul>
 <li>
 Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, or Azure ML.
 </li>
 <li>
 Hands-on experience with Generative AI (LLMs, RAG, Prompt Engineering).
 </li>
 <li>
 Strong understanding of MLOps pipelines and model lifecycle automation.
 </li>
 <li>
 Experience in at least three AI domains: NLP, Predictive Modeling, Computer Vision, Recommender Systems, or Anomaly Detection.
 </li>
 </ul>
 
 
 
 
 
 Consulting &amp; Leadership Skills
 
 
 
 
 
 
 Strong client-facing communication and stakeholder management.
 
 
 Ability to translate technical insights into business outcomes.
 
 
 Experience in pre-sales engagements, proposals, and workshops.
 
 
 Leadership in mentoring teams and driving delivery excellence.
 
 
 
 
 
 
 Certifications (Preferred)
 
 
 
 Microsoft Certified: Azure Data Engineer Associate / Azure Solutions Architect / Azure AI Engineer Associate.
 
 
 DAMA Certified Data Management Professional (CDMP) or equivalent.
 
 
 
 
 
 
 Location &amp; Travel
 
 
 
 Based in Doha, with travel to GCC (UAE, KSA) client locations as required.
 
</div>

Manager/ Senior Manager - Senior Data & AI Consultant - (Arabic Speaker)

<div>
 
 
 Data Scientist / AI Engineer (Bilingual &ndash; English and Arabic Full Proficiency)
 
 
 
 
 
 
 We are seeking an experienced Data Scientist / AI Engineer (4+ years overall experience) (Bilingual &ndash; Arabic &amp; English proficient) with deep hands-on expertise in designing and deploying Generative AI (GenAI) and Retrieval-Augmented Generation (RAG) solutions on Microsoft Azure.
 
 
 
 
 
 The ideal candidate will have prior experience developing Chat-with-Documents or internal enterprise LLM based assistants using Azure OpenAI Service, Cognitive Search, and Azure Machine Learning, ideally within regulated or enterprise environments.
 
 
 
 
 
 The role involves building and optimizing GenAI-powered internal chatbots that enable employees to query organizational documents, policies, and knowledge bases through natural language queries.
 
 
 
 
 
 This position is based in Doha, with occasional travel to other Middle East client locations as required.
 
 
 
 
 
 
 Responsibilities
 
 
 <ol>
 <li>
 Design and implement GenAI and RAG-based chatbots using Azure OpenAI, Cognitive Search, and Azure ML.
 </li>
 <li>
 Build document ingestion, embedding, and retrieval pipelines for enterprise knowledge sources.
 </li>
 <li>
 Prepare and process multilingual (English&ndash;Arabic) data ensuring quality and semantic accuracy.
 </li>
 <li>
 Deploy and manage AI solutions.
 </li>
 <li>
 Evaluate model accuracy, latency, and hallucination rates with ongoing monitoring.
 </li>
 <li>
 Ensure compliance with Responsible AI and data privacy frameworks.
 </li>
 <li>
 Collaborate with business and IT teams to align solutions with real use cases.
 </li>
 <li>
 Support Presales activities &ndash; Develop point of view and thought leadership documentations, Develop quick AI prototypes, proof-of-concepts (PoCs), and client demos to support business development and pre-sales efforts.
 </li>
 <li>
 Translate complex AI concepts into actionable insights for business leaders and non-technical stakeholders.
 </li>
 <li>
 Team Mentorship &amp; Knowledge Sharing - Mentor and guide junior data scientists, fostering a culture of technical excellence and continuous learning.
 </li>
 </ol>
 
 
 
 
 
 Qualifications
 
 
 
 
 Education &amp; Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Science, AI, or a related field.
 </li>
 <li>
 4+ years of experience in AI/ML, with a strong consulting background
 </li>
 <li>
 Proven experience of implementing at least one LLM based solution
 </li>
 <li>
 Must have worked on at least one of the the following use cases types &ndash; Predictive Modeling &amp; Classification , Simulation &amp; Optimization , Recommender Systems , Time Series Forecasting
 </li>
 <li>
 Proven track record in deploying AI solutions on Microsoft Azure
 </li>
 <li>
 Must be bilingual (Arabic and English language proficiency)
 </li>
 </ul>
 
 
 
 
 
 Technical Expertise
 
 
 <ul>
 <li>
 Strong programming skills in Python, and SQL, with expertise in ML frameworks like TensorFlow, PyTorch, and Scikit-Learn.
 </li>
 <li>
 Proficiency in designing end-to-end AI pipelines, integrating ML Models with data sources, business applications; MLOps implementation, including automated model deployment, CI/CD, &amp; monitoring strategies.
 </li>
 <li>
 Hands-on experience in Responsible AI implementation, ensuring fairness, explainability, and ethical AI governance.
 </li>
 </ul>
 
 
 
 
 
 Preferred Industry Experience
 
 
 <ul>
 <li>
 Prior experience in AI implementation within at least one of the following sectors: Financial Services (Preferred) , Oil &amp; Gas , Manufacturing, Government/Citizen Services , Energy &amp; Utilities, Telecom
 </li>
 </ul>
 
 
 
 
 
 Consulting &amp; Leadership Skills
 
 
 <ul>
 <li>
 Strong stakeholder management and client engagement skills, with experience in working on AI consulting projects.
 </li>
 <li>
 Pre-sales experience with the ability to build quick PoCs, AI demos, and support business development efforts.
 </li>
 </ul>
 
 
</div>

Data Scientist / AI Engineer - Consultant to Senior Consultant (Arabic Speaker)

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