environmental engineer

procurement engineer

sales engineer

electrical engineer

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data engineer

Omada Rail Systems

<div><ul><li>Permanent Contract
</li></ul><ul><li>Mid-Senior Level
</li></ul><ul><li>Doha
</li></ul><ul><li>Operations and Maintenance - Operational</li></ul></div>
 <div>About Us 
Egis is a leading global architectural, consulting, construction engineering, operations and mobility services firm. We create and operate intelligent infrastructure and buildings that both respond to the climate emergency and contribute to balanced, sustainable and resilient development. Our 20,500 employees operate across over 100 countries, deploying their expertise to develop and deliver cutting-edge innovations and solutions for clients. Through the wide range of our activities, we are central to the collective organisation of society and the living environment of citizens all over the world.&quot;
With 3,500 employees across 8 countries in the Middle East, Egis has delivered over 700 complex development projects, stimulating economic growth and enhancing quality of life. Ranked among the top ten firms in the Middle East by Engineering News Record (ENR), Egis is committed to sustainable development. The Group&rsquo;s operations in the Middle East are built on strategic acquisitions and a deep understanding of local market conditions. Egis&rsquo; long history of providing comprehensive engineering, consulting, and project management services makes it a trusted partner for regional governments, investors, and developers. 
About the Role 
Position Summary
We are seeking a Pavement Data Collection and Processing Engineer to support pavement condition assessment, asset management, and maintenance planning projects. The role involves planning and executing pavement data collection activities, processing and validating large datasets from automated and manual surveys (if any), and producing high-quality technical outputs to support engineering analysis and decision-making.
The successful candidate will work closely with project managers, survey teams, and pavement engineers to ensure that pavement data is accurate, consistent, and aligned with applicable standards and client requirements.
Key Responsibilities
LCMS-2 Operations &amp; Data Collection<ul><li>
Plan, coordinate, and support pavement data collection activities, including automated surveys (e.g., LCMS, laser profilers, imaging systems) and manual visual inspections.</li><li>
Ensure field data collection is carried out in accordance with approved methodologies, standards, and safety requirements.</li><li>
Operate and manage the LCMS-2 system mounted on a survey vehicle, ensuring all sensors (lasers, cameras, IMU, DMI, GPS) are calibrated and functioning correctly.</li><li>
Perform daily system checks, pre- and post-mission calibrations, and basic troubleshooting of hardware and software issues in the field.</li></ul>
Data Processing &amp; Project Support:<ul><li>
Ensure the integrity and quality of raw data collected during surveys.</li><li>
Process raw LCMS-2 data using proprietary software (e.g., ROMDAS) to extract pavement distress metrics, including cracking, rutting, roughness (IRI), and macrotexture.</li><li>
Perform quality control and quality assurance (QC/QA) on processed data to ensure accuracy and consistency.</li><li>
Process raw pavement data into structured datasets suitable for analysis and reporting.</li><li>
Perform data validation, quality checks, and consistency reviews on collected pavement condition data.</li><li>
Utilize data processing tools and techniques to clean, preprocess, and transform raw pavement data into usable formats.</li><li>
Collaborate with pavement engineers/ raters to ensure the data is appropriately structured for analysis.</li><li>
Apply severity classifications and thresholds in line with project requirements and industry standards to modify the default data received from machine processing.</li><li>
Manage and organize large datasets using spreadsheets, databases, and specialized pavement software.</li><li>
Maintain clear documentation of data processing workflows, assumptions, and revisions.</li><li>
Generate comprehensive reports and visualizations to communicate findings and recommendations to management and relevant stakeholders.</li><li>
Identify opportunities for process optimization and propose improvements to enhance data collection, processing, and analysis efficiency.</li><li>
Generate comprehensive pavement condition data collection reports and data deliverables in required formats.</li></ul> 
What's in it for you?</div>

Pavement Data Collection Engineer (Roads O&M)

Egis Group

<div>Company Description 
Egis is a leading global architectural, consulting, construction engineering, operations and mobility services firm. We create and operate intelligent infrastructure and buildings that both respond to the climate emergency and contribute to balanced, sustainable and resilient development. Our 20,500 employees operate across over 100 countries, deploying their expertise to develop and deliver cutting-edge innovations and solutions for clients. Through the wide range of our activities, we are central to the collective organisation of society and the living environment of citizens all over the world.&quot;
With 3,500 employees across 8 countries in the Middle East, Egis has delivered over 700 complex development projects, stimulating economic growth and enhancing quality of life. Ranked among the top ten firms in the Middle East by Engineering News Record (ENR), Egis is committed to sustainable development. The Group&rsquo;s operations in the Middle East are built on strategic acquisitions and a deep understanding of local market conditions. Egis&rsquo; long history of providing comprehensive engineering, consulting, and project management services makes it a trusted partner for regional governments, investors, and developers. 
Job Description 
Position Summary
We are seeking a Pavement Data Collection and Processing Engineer to support pavement condition assessment, asset management, and maintenance planning projects. The role involves planning and executing pavement data collection activities, processing and validating large datasets from automated and manual surveys (if any), and producing high-quality technical outputs to support engineering analysis and decision-making.
The successful candidate will work closely with project managers, survey teams, and pavement engineers to ensure that pavement data is accurate, consistent, and aligned with applicable standards and client requirements.
Key Responsibilities
LCMS-2 Operations &amp; Data Collection<ul><li>
Plan, coordinate, and support pavement data collection activities, including automated surveys (e.g., LCMS, laser profilers, imaging systems) and manual visual inspections.</li><li>
Ensure field data collection is carried out in accordance with approved methodologies, standards, and safety requirements.</li><li>
Operate and manage the LCMS-2 system mounted on a survey vehicle, ensuring all sensors (lasers, cameras, IMU, DMI, GPS) are calibrated and functioning correctly.</li><li>
Perform daily system checks, pre- and post-mission calibrations, and basic troubleshooting of hardware and software issues in the field.</li></ul>
Data Processing &amp; Project Support:<ul><li>
Ensure the integrity and quality of raw data collected during surveys.</li><li>
Process raw LCMS-2 data using proprietary software (e.g., ROMDAS) to extract pavement distress metrics, including cracking, rutting, roughness (IRI), and macrotexture.</li><li>
Perform quality control and quality assurance (QC/QA) on processed data to ensure accuracy and consistency.</li><li>
Process raw pavement data into structured datasets suitable for analysis and reporting.</li><li>
Perform data validation, quality checks, and consistency reviews on collected pavement condition data.</li><li>
Utilize data processing tools and techniques to clean, preprocess, and transform raw pavement data into usable formats.</li><li>
Collaborate with pavement engineers/ raters to ensure the data is appropriately structured for analysis.</li><li>
Apply severity classifications and thresholds in line with project requirements and industry standards to modify the default data received from machine processing.</li><li>
Manage and organize large datasets using spreadsheets, databases, and specialized pavement software.</li><li>
Maintain clear documentation of data processing workflows, assumptions, and revisions.</li><li>
Generate comprehensive reports and visualizations to communicate findings and recommendations to management and relevant stakeholders.</li><li>
Identify opportunities for process optimization and propose improvements to enhance data collection, processing, and analysis efficiency.</li><li>
Generate comprehensive pavement condition data collection reports and data deliverables in required formats.</li></ul> 

Additional Information</div>

GlobServ Services

An invitation to all #Mudloggers and #Data #Engineers who are looking for a new career move .Our client in Qatar is looking for you to join its #Drilling team to work in a superb rotation basis :✅ MudLogger (3-5 years experience) ✅ Data Engineer (8 years experience ) ✅Geologist /Wellsite Engineer (12 years experience )The ideal candidates should be having :✅Geology degree is a must . ✅ Qatar or GCC offshore /onshore experience is mandatory (Horizontal drilling ). ✅English Language is mandatoryPlease drop CVs to info@glob-serv.com Good Luck #drilling #offshore #MudLogger #Geologist #GeologyJob Type: Full-time

Mudloggers & Data Engineers Qatar

University of Doha for Science & Technology

<div>
 
 Overview
 
 
 
 University of Doha for Science and Technology (UDST) is the first national applied University in the State of Qatar, offering applied bachelor&rsquo;s and master&rsquo;s degrees in addition to certificates and diplomas in various fields. UDST has over 50 programs in the fields of Engineering Technology and Industrial Trades, Business Management, Computing and Information Technology, Health Sciences, Continuing and Professional Education and more.
 
 
 With more than 700 staff and over 8,000 students, UDST is the destination for top-notch applied and experiential learning. The University is recognized for its student-centred learning and state-of-the-art facilities. Our faculty are committed to delivering pedagogically-sound learning experiences with the incorporation of innovative technological interventions, to further enhance students&rsquo; skills and help develop talented graduates that can effectively contribute to a knowledge-based economy and make Qatar&rsquo;s National Vision 2030 a reality.
 
 
 We are seeking a highly motivated Research Associate to join a collaborative research project between the University of Doha for Science and Technology (UDST) and a leading technology-driven business in Qatar. The ideal candidate will have a strong background in data engineering, machine learning, forecasting, and MLOps, with experience in building scalable data infrastructure and deploying predictive models into production environments.
 
 
 
 Responsibilities
 
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Data Infrastructure &amp; Collection
 </li>
 <li>
 Design and implement ETL pipelines for data ingestion and transformation.
 </li>
 <li>
 Perform data audits, implement quality checks, and maintain comprehensive data documentation.
 </li>
 <li>
 Forecasting Module Development
 </li>
 <li>
 Develop and benchmark advanced time-series forecasting models.
 </li>
 <li>
 Train and fine-tune models with scalable frameworks, ensuring performance against business KPIs.
 </li>
 <li>
 Prototype, validate, and document predictive models.
 </li>
 <li>
 Microservices, MLOps &amp; Deployment
 </li>
 <li>
 Integrate forecasting modules with feature stores and existing data pipelines.
 </li>
 <li>
 Containerize models using Docker and set up CI/CD pipelines for deployment.
 </li>
 <li>
 Implement monitoring dashboards, drift detection, and alerts to ensure reliable system performance.
 </li>
 <li>
 Documentation &amp; Knowledge Transfer
 </li>
 <li>
 Prepare full technical documentation, including API specifications and user guides.
 </li>
 <li>
 Develop training materials, workshops, and modules for knowledge transfer.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Educational Background:
 </li>
 <li>
 Ph.D. in Computer Science, Data Engineering, Machine Learning, or a related field, OR
 </li>
 <li>
 Master&rsquo;s degree in Computer Science/Engineering with at least 3 years of industry experience in Data Infrastructure, Forecasting, and MLOps.
 </li>
 <li>
 Technical Expertise:
 </li>
 <li>
 Strong knowledge of time-series forecasting, machine learning, and predictive analytics.
 </li>
 <li>
 Proficiency in ETL pipelines, data quality assurance, and integration of external datasets.
 </li>
 <li>
 Hands-on experience with MLOps tools (Docker, CI/CD, monitoring, drift detection).
 </li>
 <li>
 Familiarity with cloud-based environments (AWS, GCP, or Azure) is highly desirable.
 </li>
 <li>
 Programming Skills: Strong programming skills in languages such as Python or R. Familiarity with machine learning libraries and frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch) is a must.
 </li>
 <li>
 Analytical Skills: Demonstrated ability to analyze complex datasets and develop data-driven solutions.
 </li>
 <li>
 Communication Skills: Excellent written and verbal communication skills, with the ability to convey complex technical concepts to non-technical audiences.
 </li>
 <li>
 Team Collaboration: Proven experience working in collaborative team environments and managing multiple tasks effectively.
 </li>
 </ul>
</div>

Research Associate -AI-Data Science & Forecast Specialist

Arab Solutions

<div>
 
 Job Title: Data Scientist &ndash; Population &amp; Demographic Modeling
 
 
 Role Overview
 
 
 
 The Data Scientist will lead the development and management of population and demographic models to forecast demographic dynamics and support long-term strategic planning. The role complements economic modeling by applying advanced data science, machine learning, and forecasting techniques to strengthen economic foresight, scenario planning, and policy decision-making within the Strategic Foresight Department.
 
 
 
 Key Roles &amp; Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain population and demographic models (e.g., cohort-component models) to project fertility, mortality, and migration trends.
 </li>
 <li>
 Lead demographic data analysis using census, survey, administrative, and alternative data sources.
 </li>
 <li>
 Build and manage scalable data pipelines integrating multi-source demographic and economic datasets.
 </li>
 <li>
 Support macroeconomic modeling and forecasting through advanced statistical, econometric, and machine learning techniques.
 </li>
 <li>
 Collaborate with economists, foresight researchers, and scenario planners to integrate demographic and economic projections into foresight scenarios.
 </li>
 <li>
 Produce population outlooks, trend analyses, and interactive dashboards to inform government planning and policy development.
 </li>
 <li>
 Ensure data quality, model transparency, validation, and reproducibility.
 </li>
 <li>
 Maintain comprehensive documentation of methodologies, assumptions, and analytical outputs.
 </li>
 <li>
 Provide technical training and knowledge transfer on population modeling and data science methods.
 </li>
 <li>
 Explore innovative approaches including AI/ML, big data, geospatial analysis, and simulation techniques to enhance forecasting accuracy.
 </li>
 <li>
 Ensure structured handover and sustainability of all analytical models and tools.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree or PhD in Data Science, Statistics, Computer Science, Demography, or a related field.
 </li>
 <li>
 4+ years of experience in population modeling, demographic forecasting, or applied data science.
 </li>
 <li>
 Demonstrated expertise in population modeling and demographic data analysis.
 </li>
 <li>
 Experience working with government, public sector entities, think tanks, or international organizations is strongly preferred.
 </li>
 <li>
 Experience working with large-scale, policy-driven datasets is an advantage.
 
 
 </li>
 </ul>
 
 Technical Competencies
 
 
 
 <ul>
 <li>
 Proficiency in Python and/or R for statistical and demographic modeling.
 </li>
 <li>
 Strong experience with machine learning, simulation, and predictive analytics.
 </li>
 <li>
 Experience with cloud data platforms such as AWS, Azure, or CDP environments.
 </li>
 <li>
 Strong data management and querying skills (e.g., SQL).
 </li>
 <li>
 Proficiency in data visualization and dashboarding tools (e.g., Power BI, Tableau).
 </li>
 <li>
 Strong proficiency in Microsoft Office, especially Excel and PowerPoint for policy-oriented reporting.
 
 
 </li>
 </ul>
 
 Language Requirements
 
 
 
 <ul>
 <li>
 Fluent in Arabic and English, both written and spoken.
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 
 <ul>
 <li>
 Strong analytical, critical thinking, and problem-solving abilities.
 </li>
 <li>
 High attention to detail with a strong commitment to data integrity and research quality.
 </li>
 <li>
 Ability to collaborate effectively across multidisciplinary teams.
 </li>
 <li>
 Skilled at translating complex analytical findings into clear, actionable insights for policymakers.
 </li>
 <li>
 Innovative, adaptive, and curious, with a strong interest in emerging tools and methodologies.
 
 
 </li>
 </ul>
 Skills: advanced statistical,machine learning techniques,ai/ml,foresight scenarios,aws,geospatial analysis,cloud data,cdp environments,big data,azure,data quality,econometric,data pipelines,python
</div>

Data Scientist (Arabic)

Saher Management Consultancies LLC

<div>
 Hiring: Senior Business Analyst (Techno-Functional | Data Focused)
 
 
 📍 Doha, Qatar | Onsite
 
 
 🕒 Experience: 10+ years
 
 
 We&rsquo;re looking for a Senior Business Analyst with a strong understanding of data engineering and analytics to bridge business needs with scalable data solutions.
 
 
 🔍 What You&rsquo;ll Do
 
 
 Gather and translate data-centric business requirements into technical specs
 
 
 Work closely with data engineers, architects, analysts, and business stakeholders
 
 
 Support data models, data pipelines (ETL/ELT), data flows, and lineage
 
 
 Define data quality rules, governance standards, and validation criteria
 
 
 Support UAT, testing, and documentation for data solutions
 
 
 🛠 What We&rsquo;re Looking For
 
 
 10+ years as a Business Analyst (Techno-Functional)
 
 
 Strong SQL and data modeling knowledge
 
 
 Solid understanding of Data Warehousing, Data Lakes, ETL/ELT
 
 
 Familiarity with cloud data platforms (AWS / Azure / GCP)
 
 
 Experience with data quality, governance, and analytics consumption
 
 
 Excellent communication &amp; stakeholder management skills
 
 
 Bonus: Python/R, Big Data concepts, Power BI/Tableau
 
 
 📩 Interested? Apply or message directly on LinkedIn.
 
 
 Skills: etl,business analysis,data quality,azure,analytics
</div>

Senior Business Analyst

Protiviti Middle East Member Firm

<div>
 
 Job Description: Data Scientist - Advanced Analytics &amp; Network Insights
 
 
 Position Requirements:
 
 <ul>
 <li>
 Strong expertise in analytics solutions, including data collection, preprocessing, model development, and deployment.
 </li>
 <li>
 Proficient in machine learning techniques and algorithms (e.g., Naive Bayes, SVM, Decision Forests, Bagging &amp; Boosting Models).
 </li>
 <li>
 Strong understanding of feature scaling, dimensionality reduction, and data compression techniques.
 </li>
 <li>
 Expertise in Python, PySpark, R, and libraries such as Scikit-learn, NumPy, TensorFlow.
 </li>
 <li>
 3to 5 years of experience in deploying scalable machine learning systems, with 2+ years in NLP or text analytics development.
 </li>
 <li>
 Proficient in SQL, Hadoop, Spark, and data storage frameworks.
 </li>
 <li>
 Skilled in designing and deploying auto big data pipelines for production environments.
 </li>
 <li>
 Experienced in developing ETL (Extract, Transform, Load) workflows for seamless data integration.
 </li>
 <li>
 Expertise in building interactive dashboards and reports using Tableau and other visualization tools.
 </li>
 <li>
 Experience with agile methodologies, data-driven development, and reliable experimentation.
 </li>
 <li>
 Knowledge of machine learning publications or contributions to open-source projects is a plus.
 </li>
 </ul>
 
 
 
 Role &amp; Responsibilities:
 
 <ul>
 <li>
 Lead the development and optimization of machine learning models, including recommendation and personalization systems.
 </li>
 <li>
 Develop end-to-end analytics solutions, from data preprocessing to machine learning model deployment.
 </li>
 <li>
 Build and optimize big data pipelines, ensuring scalability and efficiency in production environments.
 </li>
 <li>
 Conduct data mining and implement advanced classifiers to enhance customer experiences and business performance.
 </li>
 <li>
 Process and analyze large datasets using big data tools like Spark and Hive.
 </li>
 <li>
 Process, cleanse, and validate data for analysis, ensuring accuracy and integrity.
 </li>
 <li>
 Extend existing data with third-party sources as needed for enriched analysis.
 </li>
 <li>
 Perform ad-hoc analyses and present actionable insights clearly to stakeholders.
 </li>
 <li>
 Collaborate with cross-functional teams to deliver tailored solutions aligned with business objectives.
 </li>
 </ul>
</div>

Data Scientist Consultant

Explore 613+ Data engineer in Doha this February. Find roles across top companies and apply now to boost your career.

613 data engineer jobs In Doha

Pavement Data Collection Engineer (Roads O&M)

Pavement Data Collection Engineer (Roads O&M)

Mudloggers & Data Engineers Qatar

Research Associate -AI-Data Science & Forecast Specialist

Data Scientist (Arabic)

Senior Business Analyst

Data Scientist Consultant