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azure data engineer -

azure data engineer -- Jobs in Doha Qatar Jobs In Qatar Jobs In Qatar Jobs In Qatar Jobs In Doha Qatar

azure data engineer --

data 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.

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 -

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 -

Starlink Qatar

<div>
 
 📌 𝗗𝗲𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝗼𝗻:
 
 
 We are seeking a Power BI Engineer (Junior Data Scientist) to join our Data &amp; Analytics team in Doha, Qatar. In this role, you will be instrumental in developing robust semantic data models, insightful reports, and dynamic interactive dashboards that empower data-driven decision-making. You will actively contribute to the full data science lifecycle, from data collection and preparation to exploratory analysis and visualization. This position involves close collaboration with our Data Science and Data Engineering teams to transform complex datasets into actionable insights. You will support the development of machine learning models and ensure that analytical findings are communicated effectively to diverse stakeholders. This is an excellent opportunity to enhance data quality, drive analytical efficiency, and make a significant impact within a large-scale data platform.
 
 
 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 
 
 
 
 
 🎯 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀:
 
 
 &rtrif; Bachelor&rsquo;s degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
 
 
 &rtrif; 2&ndash;4 years of professional experience in Business Intelligence (BI) or data analytics.
 
 
 &rtrif; Strong proficiency in designing and developing datasets, reports, and dashboards using Power BI (Desktop and Service).
 
 
 &rtrif; Advanced skills in DAX and Power Query (M language) for complex data modeling, calculations, and transformation.
 
 
 &rtrif; Strong working knowledge of SQL for data extraction and transformation, specifically with SQL Server and/or MySQL.
 
 
 &rtrif; Demonstrated ability to perform exploratory data analysis (EDA) to identify patterns and trends.
 
 
 &rtrif; Experience in implementing Row-Level Security (RLS) and performance tuning of Power BI reports.
 
 
 &rtrif; Basic familiarity with Python (Pandas, NumPy) for statistical analysis and supporting data science experiments.
 
 
 
 
 
 ✨ 𝗗𝗲𝘀𝗶𝗿𝗮𝗯𝗹𝗲𝘀:
 
 
 &rtrif; Experience with ETL tools such as Azure Data Factory or SSIS.
 
 
 &rtrif; Prior exposure to government programs, public sector analytics, or large-scale data platforms.
 
 
 &rtrif; Familiarity with other BI and visualization tools like Tableau.
 
 
 &rtrif; Knowledge of machine learning concepts and model validation processes.
 
 
 &rtrif; Proven ability to combine technical accuracy with strong user experience (UX) awareness in dashboard design.
 
</div>

Power BI Engineer (Junio Data Scientist)

Codvo.ai

<div><div><div>Data Analyst (Category - Senior Engineer)
Sector: Oil and Gas
Department: Business Innovation &amp; Digital Strategy
Location: Doha, Qatar
Employment Type:
Reporting To: Head of Digital Intelligence<div></div> 
Company Overview:
At Codvo, software and people transformations go hand-in-hand. We are a global empathy-led technology services company. Product innovation and mature software engineering are part of our core DNA. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day.
We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results. 
Our Vision: Engineering the Future of Energy with Data
Our digital transformation is moving from strategy to execution. We have a clear, funded roadmap of high-impact data and AI use cases designed to fundamentally re-engineer our operations&mdash;from improving drilling efficiency and implementing predictive maintenance on critical assets to enhancing subsurface modeling for better exploration outcomes. This is not just an IT upgrade; it is a core business imperative to create a more resilient, efficient, and intelligent energy company. We are now building the core team of innovators and builders to deliver these initiatives. This Data Engineer role is critical to bringing that vision to life, moving beyond theory to engineer the specific, robust data solutions that will power our most strategic projects and deliver measurable value. 
Key Responsibilities<ul><li>Gather, process, and validate large data sets from multiple sources (SCADA, ERP, IoT, etc.).</li><li>Develop dashboards and visualizations using Power BI, Tableau, or Qlik.</li><li>Perform data analysis, trend identification, and forecasting to support business initiatives.</li><li>Work with data engineers to ensure data quality and availability within the data lake.</li><li>Automate reporting workflows and create reusable data models.</li><li>Present findings and recommendations to technical and non-technical stakeholders.</li></ul> 
Required Skills and Qualifications<ul><li>Bachelor's degree in computer science, Statistics, or related field.</li><li>6+ years of experience in data analytics or BI.</li><li>Strong skills in SQL, DAX, and Power BI/Tableau.</li><li>Understanding of ETL pipelines, data lakes, and data governance principles.</li><li>Experience in Python or R for advanced analytics preferred.</li><li>Strong problem-solving and visualization skills.</li></ul> 
Preferred Qualifications<ul><li>Certification in Power BI Data Analyst (PL-300) or equivalent.</li><li>Familiarity with Databricks, Azure Data Factory, and DataSphere.</li><li>Experience in Oil &amp; Gas performance and production analytics.</li></ul></div></div></div>

Data Analyst (Oil and Gas) (Doha)

Diyar United Company

<div>
 
 We&rsquo;re expanding our IT team and inviting motivated individuals who are ready to learn, collaborate, and build quality solutions with us. We are seeking an experienced Business Intelligence (BI) Engineer to design, develop, and optimize scalable BI solutions that support data-driven decision-making across the organization. The ideal candidate is an expert in Power BI and DAX, with strong cloud data engineering capabilities (Azure, Fabric, or GCP) and a proven ability to transform raw data into reliable, actionable insights.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Develop, maintain, and optimize Power BI dashboards, datasets, and semantic models with advanced DAX calculations.
 </li>
 <li>
 Design and implement data pipelines, transformations, and data quality processes in cloud environments (Azure/Fabric/GCP).
 </li>
 <li>
 Cleanse, transform, and integrate data from a wide variety of heterogeneous data sources including relational databases, cloud services, APIs, and flat files.
 </li>
 <li>
 Collaborate with business stakeholders to gather requirements, understand business processes, and convert them into robust BI and data engineering solutions.
 </li>
 <li>
 Ensure adherence to best practices in data governance, security, metadata management, and performance optimization.
 </li>
 <li>
 Work closely with data architects, analysts, and engineering teams to maintain high-quality, scalable BI ecosystems.
 </li>
 <li>
 Support continuous improvement of data models, documentation, and development standards.
 </li>
 </ul>
 
 
 
 
 
 Essential Requirements:
 
 
 <ul>
 <li>
 Expert-level proficiency in Power BI (data modeling, M Query, DAX, report optimization).
 </li>
 <li>
 Strong experience in cloud data engineering using Azure, Microsoft Fabric, or Google Cloud Platform (GCP).
 </li>
 <li>
 Hands-on experience with data cleansing, transformation, and preparation using cloud-native tools.
 </li>
 <li>
 Ability to work with and integrate diverse backend systems and data formats (SQL/NoSQL databases, APIs, streaming data, flat files, etc.).
 </li>
 <li>
 Proven experience in requirement gathering, customer/stakeholder interfacing, and translating business needs into technical solutions.
 </li>
 </ul>
 
 
 
 
 
 Recommended Skills:
 
 
 <ul>
 <li>
 Azure Data Factory (ADF)
 </li>
 <li>
 Azure Synapse Analytics
 </li>
 <li>
 Microsoft Fabric (Lakehouse, Dataflows, Pipelines)
 </li>
 <li>
 Databricks (PySpark/Spark SQL)
 </li>
 <li>
 GCP data services (BigQuery, Dataflow, Pub/Sub, etc.)
 </li>
 <li>
 Python and relevant data libraries (Pandas, NumPy, PySpark)
 </li>
 <li>
 Experience with machine learning or MLOps workflows
 </li>
 <li>
 Strong knowledge of Apache Spark
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience).
 </li>
 <li>
 5+ years of BI engineering or data engineering experience.
 </li>
 <li>
 Strong analytical, communication, and problem-solving skills.
 </li>
 <li>
 Ability to work independently and collaboratively in cross-functional teams.
 </li>
 </ul>
 
 
 
 
 
 Location:
 
 
 <ul>
 <li>
 
 1 position in Qatar
 
 </li>
 <li>
 
 1 position in Kuwait
 
 </li>
 </ul>
 
 
</div>

Business Intelligence (BI) Engineer- Qatar/ Kuwait

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