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data analyst – business intelligence

data engineer

COZMALABS

<p>We are seeking an experienced <b>Data Engineer</b> 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.</p><p><b>Key Responsibilities</b></p><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><p><b>Required Qualifications</b></p><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><p><b>Desirable Qualifications</b></p><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><p>Job Type: Full-time</p>

Data Engineer.

Codvo.ai

<div><div><div><p><b>Job Description:</b><b>Data Engineer (OT Data) (Category - Engineer)</b></p><p><b>
Sector: Oil and Gas</b></p><p><b>
Location: Doha, Qatar</b></p><div><b>
Experience - 10 years</b></div><div></div><p><b><br>
About Us</b></p><p>
At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.</p><p></p><p><b><br>
The Opportunity:</b></p><p>
The Data Engineer will be a foundational architect of our delivery strategy, responsible for building and maintaining the data ecosystem required for our scoped-out use cases. You will be the crucial link between our vast, complex data sources and our advanced analytics ambitions. This involves tackling the unique challenges of the oil and gas sector, bridging the worlds of operational technology (OT)&mdash;with its real-time drilling data, SCADA systems, and seismic surveys&mdash;and information technology (IT). Your mission is to build the specific, high-performance data pipelines required to deliver our portfolio of projects. This means going beyond simple data movement; you will be creating reliable, scalable, and secure data products that serve as the fuel for our most critical AI models and analytics dashboards, directly enabling tangible business value and competitive advantage.</p><div></div><p><b><br>
Key Responsibilities:</b></p><ul><li>Architect &amp; Build Data Pipelines: Design, construct, install, test, and maintain highly scalable data management systems and ETL/ELT pipelines.</li><li>Integrate Diverse Data Sources: Develop processes to ingest and integrate high-volume, high-velocity data from SCADA systems, historians (like OSIsoft PI, Aspen InfoPlus.21), DCS, PLC, and IoT sensors.</li><li>Cloud Data Platform Development: Implement and manage data solutions on the Microsoft Azure cloud platform, Leveraging services like Azure IoT Hub, Azure Event Hubs, and Azure Stream Analytics for real-time ingestion and processing of operational technology (OT) data.</li><li>Data Modelling &amp; Warehousing: Design and implement data models optimized for time-series data from industrial assets, supporting operational dashboards and real-time analytics.</li><li>Enable Advanced AI: Build the data infrastructure to support AI/ML models for predictive maintenance, operational anomaly detection, and process optimization using real-time OT data.</li><li>Champion Master Data Management (MDM): Design and implement MDM strategies and solutions to create a single, authoritative source of truth for critical data domains such as wells, equipment, and assets, ensuring data consistency across the enterprise.</li><li>Ensure Data Quality &amp; Governance: Implement robust data quality checks, validation rules, and monitoring to ensure the accuracy, consistency, and reliability of our data. Adhere to and help shape our data governance policies.</li><li>Embrace Industry Standards: Champion and implement industry-specific data standards and models, such as the OSDU&trade; Data Platform, to ensure interoperability and a unified data view across the upstream lifecycle.</li><li>Collaborate &amp; Innovate: Work closely with a cross-functional team of geoscientists, drilling engineers, data scientists, and business analysts to understand their data needs and deliver effective solutions.</li><li>Automate &amp; Optimize: Identify opportunities for process automation and infrastructure optimization to improve data delivery, scalability, and cost-effectiveness.</li><li>Security First: Implement and maintain security best practices to protect our sensitive and proprietary data assets.</li></ul><p></p><p><b><br>
Required Skills and Qualifications:</b></p><ul><li>Bachelor's in engineering, Information Systems, or a related quantitative field.</li><li>5+ years of proven experience in a data engineering role.</li><li>Experience within oil and gas industry is highly preferred.</li><li>Demonstrable experience building and operationalizing large-scale data pipelines and applications.</li></ul><p></p><p><b><br>
Technical Proficiencies:</b></p><p></p><ul><li><br>
Expert-level proficiency in SQL and Python for data manipulation and pipeline development.</li><li>Big Data Technologies: Hands-on experience with distributed computing frameworks like Apache Spark (PySpark). Experience with streaming technologies like Kafka is a plus.</li><li>Cloud Platforms: Deep experience with Microsoft Azure (Azure Data Lake Storage, Azure Data Factory, Azure Databricks, Azure Synapse).</li><li>Data Warehousing/Lakehouse: Proven experience with modern data platforms Databricks Delta Lake.</li><li>AI &amp; ML Knowledge: Understanding of machine learning lifecycles and the data requirements for training and deploying AI/ML models.</li><li>Orchestration: Experience with workflow orchestration tools like Airflow, Dagster, or Azure Data Factory.</li><li>Databases: Strong understanding of both relational (e.g., PostgreSQL, SQL Server) and NoSQL databases. Experience with graph databases (e.g., Neo4j) and vector databases is highly desirable.</li><li>Version Control: Proficiency with Git and CI/CD best practices.</li></ul><p></p><p><b><br>
Preferred Qualifications:</b></p><ul><li>Familiarity with historian systems (e.g., OSIsoft PI System) and their data structures.</li><li>Hands-on experience with the OSDU&trade; Data Platform.</li><li>Experience working with industrial communication protocols (e.g., OPC UA, Modbus TCP/IP).</li><li>Understanding of cybersecurity considerations for OT environments and data segregation.</li><li>Experience integrating data from ERP systems like SAP.</li><li>Professional certifications in Azure or Databricks.</li><li>Advanced SQL skills, including query optimization and performance tuning.</li><li>Knowledge of containerization technologies (Docker, Kubernetes).</li><li>Experience of constructing and maintaining enterprise knowledge graphs.</li></ul><p></p><p><b><br>
Domain - Oil &amp; Gas</b></p><p><b>
Location - Doha, Qatar</b></p></div></div></div><p></p>

Data Engineer Lead (OT Data)

Sight Spectrum

<p><b>Key Responsibilities:</b></p><ul><li>Design and manage secure hybrid network architectures (on-prem &amp; multi-cloud).</li><li>Configure routing, switching (BGP, OSPF), firewalls (Palo Alto, Fortinet, Cisco ASA), VPNs, and load balancers (F5, Azure Application Gateway).</li><li>Implement WAFs, zero trust policies, and ensure compliance (ISO 27001, NIA Qatar).</li><li>Secure cloud connectivity using ExpressRoute, NSGs, Private Endpoints, and hybrid VPNs.</li><li>Integrate network telemetry with SIEM/SOAR tools (Azure Sentinel, Chronicle, Splunk).</li><li>Support incident response, threat detection, and continuous risk assessment.</li><li>Collaborate with Cloud, DevOps, and Security teams to embed security-by-design.</li></ul><p><b>Required Skills &amp; Experience:</b></p><ul><li>10+ years in network &amp; infrastructure security (enterprise scale).</li><li>Strong in routing/switching, firewalls, VPN, WAF, load balancing, and zero trust.</li><li>Hands-on with Azure &amp; GCP cloud security, Terraform, Ansible, and IaC tools.</li><li>Certifications preferred: <b>CISSP, CCSP, AZ-500, SC-100, or GCP Security Engineer</b>.</li><li>Experience in Oil &amp; Gas, Energy, or Critical Infrastructure sectors preferred.</li></ul><p>Job Type: Contract<br/>Contract length: 12 months</p>

Senior Data Engineer

<div><div><div><p><b>Data Analyst (Category - Senior Engineer)</b></p><p><b>
Sector: Oil and Gas</b></p><p><b>
Department: Business Innovation &amp; Digital Strategy</b></p><p><b>
Location: Doha, Qatar</b></p><p><b>
Employment Type:</b></p><p><b>
Reporting To: Head of Digital Intelligence</b></p><div></div><p><b><br>
Company Overview:</b></p><p>
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.</p><p>
We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results.</p><p></p><p><b><br>
Our Vision: Engineering the Future of Energy with Data</b></p><p>
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.</p><p></p><p><b><br>
Key Responsibilities</b></p><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><p></p><p><b><br>
Required Skills and Qualifications</b></p><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><p></p><p><b><br>
Preferred Qualifications</b></p><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><p></p>

Data Analyst (Oil and Gas) (Doha)

Protiviti Middle East Member Firm

<div>
 <p>
  <strong>
   Data Scientist / AI Engineer (Bilingual &ndash; English and Arabic Full Proficiency)
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This position is based in Doha, with occasional travel to other Middle East client locations as required.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <p>
  <strong>
   Education &amp; Experience
  </strong>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Technical Expertise
  </strong>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Industry Experience
  </strong>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Consulting &amp; Leadership Skills
  </strong>
 </p>
 <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>
 <p>
 </p>
</div>


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

Skillspark

<div>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Requirements:
  </strong>
 </p>
 <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

Qatar Airways

<div><div><div><div><div><div><div><div>Job title
</div><div>Data Architect - Google Cloud Platform
</div></div><div><div>Ref #
</div><div>229074
</div></div><div><div>Location
</div><div>Qatar - Doha
</div></div><div><div>Job family
</div><div>Corporate &amp; Commercial
</div></div><div><div><ul><li>Closing date: 09-Dec-2025</li></ul><br>
</div></div></div></div></div><div><div><div><div><div><p><b>About Your Job:</b></p><p>
In this role, you are responsible for designing data solutions that meets the business needs of the organisation. This includes translating business requirements into data products, creating data models, defining data architecture, and ensuring data integrity, security, scalability and performance tailored to the specific needs of the initiative. You also will work closely with business stakeholders, data engineers, product owners and data analysts to ensure that data products are aligned with business objectives.</p><p><b>
Key Responsibilities:</b></p><ul><li>Collaborate with data engineers, analysts, and business stakeholders to translate requirements into technical solutions.</li><li>Leveraging strong business acumen, translate business requirements to create solution artefacts to build data products.</li><li>Develop solution proposals that provide details of project scope, approach, deliverables and timeline.</li><li>Design data models, ensuring accuracy, integrity, and performance.</li><li>Ensure the scalability and performance of data solutions.</li><li>Ensure the data security of the data products.</li><li>Ensure the solution is optimized for cost-efficiency.</li><li>Select appropriate technologies and tools offered by organisations&rsquo; self-serve data platform for building the data products.</li><li>Prepare key design decisions, and an ability to demonstrate structured consideration of multiple options (comparing competing technologies, functional design approaches etc).</li><li>Guide the data engineers in solution development.</li><li>Oversee and ensure the implementation of the solution defined.</li><li>Provide solution oversight to IT and business stakeholders.</li></ul><p><b>
Be part of an extraordinary story:</b><br>
Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You&rsquo;ll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience. You have the chance to be a part of our future, and build the life you want while being part of an international community.<br>
Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what&rsquo;s never been done before.<br>
Together, everything is possible.</p>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3></div></div><div><div><div><div><p><b>Experience &amp; Knowledge</b><b>:</b></p><ul><li>Bachelor&rsquo;s Degree or equivalent (Degree in engineering, computer applications, commerce, or business administration).</li><li>6+ years of experience Big Data, data warehouse, data analytics projects, with at least 3 years in solution architect role.</li><li>Strong knowledge of GCP services: BigQuery, Cloud Storage, Dataflow, Cloud Composer, Pub/Sub, Dataproc.</li><li>Hands-on experience with programming languages (Python, SQL).</li><li>Prior experience building large scale enterprise data architectures using commercial and/or open-source Data Analytics technologies.</li><li>Solid understanding of security principles, IAM, and compliance frameworks.</li><li>Hands-on experience in developing and implementing large-scale data warehouses, Business Intelligence solutions, including Data Lakes/Lakehouses.</li><li>Strong understanding of data quality principles and methodologies.</li><li>Data modelling and solutioning skills including strong foundation in data warehousing concepts, data normalisation, and dimensional data modelling such as Kimball, Inmon, data vault etc.</li><li>Excellent problem-solving skills and the ability to troubleshoot complex data issues.</li><li>Strong communication and collaboration skills to work effectively with cross-functional teams</li><li>Knowledge of data mesh architecture.</li><li>Knowledge of airline domain.</li><li>Knowledge of agile/lean development methodologies.</li><li>GCP certifications are a plus.</li></ul><p><b>
About Qatar Airways Group:</b><br>
Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We&rsquo;ve grown fast, broken records and set trends that others follow. We don&rsquo;t slow down by the fear of failure. Instead, we dare to achieve what&rsquo;s never been done before.<br>
So whether you&rsquo;re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community.</p><p><b>
How to apply:</b></p><p>
If you&rsquo;re ready to join a progressive team and have a challenging and rewarding career, then apply now by uploading your CV and completing our quick application form.</p><br>
</div></div><div></div><div><div><br>
<div><b>About Qatar Airways Group
</b></div><br>
Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We&rsquo;ve grown fast, broken records and set trends that others follow. We don&rsquo;t slow down by the fear of failure. Instead, we dare to achieve what&rsquo;s never been done before.<br>
<br>
So whether you&rsquo;re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community.<br>
</div></div><div><div>https://aa115.taleo.net/careersection/QA_External_CS/jobapply.ftl?lang=en&amp;job=229074</div></div></div></div></div></div></div></div>

Data Architect - Google Cloud Platform

Explore 1362+ Data engineer in Doha this December. Find roles across top companies and apply now to boost your career.