business analyst

planning engineer

data analyst

estimation engineer

sales engineer

data engineer

COZMALABS

We are looking for an experienced  Data Engineer to join our team full-time. This role requires a strong background in building and optimizing data pipelines, with a focus on supporting AI-driven solutions. The candidate will work closely with software engineers to ensure reliable data flows for AI models and contribute to cloud-based data integration using Microsoft Azure.Key Responsibilities:<ul><li>Design, develop, and maintain scalable data pipelines and ETL processes to support AI-driven projects</li><li>Build and optimize data infrastructure to ensure efficient data management, processing, and storage in cloud environments (Azure)</li><li>Collaborate with AI engineers to facilitate data preparation for machine learning models and AI solutions</li><li>Ensure data pipelines are secure, reliable, and meet performance standards</li><li>Monitor and troubleshoot data pipeline performance to ensure timely and accurate data delivery</li><li>Implement data governance policies and ensure compliance with data security standards</li></ul>Required Qualifications:<ul><li>Proven experience as a Data Engineer, with a focus on building and maintaining complex data pipelines for AI projects</li><li>Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, SQL Server) and NoSQL databases (e.g., MongoDB)</li><li>Expertise in cloud-based data solutions, specifically Microsoft Azure (e.g., Azure Data Factory, Azure Synapse, Azure Databricks)</li><li>Experience with data integration tools and ETL frameworks (e.g., Apache Airflow)</li><li>Proficiency in at least one programming language for data manipulation (e.g., Python)</li><li>Knowledge of data warehousing solutions and best practices</li><li>Experience in working with data pipelines for AI or machine learning workflows</li><li>Strong problem-solving and analytical skills</li><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field</li><li>Proficiency in English (written and spoken)</li></ul>Desirable Qualifications:<ul><li>Familiarity with machine learning models and data preprocessing for AI solutions</li><li>Knowledge of containerization tools (Docker, Kubernetes) for data pipeline deployments</li></ul>Work Location: In person

Data Engineer

Snoonu

<div>
 
 🚀 Welcome to Your Next Adventure!
 
 
 
 We look for experienced engineer for position of dedicated DE for ML team. Main responsibilities will include creating end extending existing feature marts and realtime marts, including investigation of feature drift and performance optimizations. What we also consider as important is having enough skills to take responsibility for full ML-DE interaction, including new pipelines creation in existing DE infrastructure. Main tools used for feature engineering are Dbt, BigQuery, Databricks and Spark structured streaming, having AWS streaming services and infrastructure as a code for DE part. Our workflow emphasizes adaptability, collaboration, with a focus on driving changes in company wide metrics - and you`ll be able to see the impact of your work on the business and customer experience.
 
 
 
 🛠 What You&rsquo;ll Get Your Hands On
 
 
 
 <ul>
 <li>
 Feature engineering - support and creating feature marts for ML team, including tests and validation
 </li>
 <li>
 Realtime Feature engineering - creating realtime pipelines, extending realtime feature store with new features
 </li>
 <li>
 Integrating new sources into existing data pipelines for ML needs, ensuring data quality and consistency
 </li>
 <li>
 Monitor and automate ML pipelines processes, including data drift, pipelines performance, alerting
 
 
 </li>
 </ul>
 
 🧙&zwj;&male;️ The Magic You Bring
 
 
 
 <ul>
 <li>
 Experience in several programming languages or Python frameworks
 </li>
 <li>
 PySpark knowledge i.e. Spark structured streaming, data distribution, optimizations
 </li>
 <li>
 Strong SQL skills, ability to apply subqueries, window functions, CTEs, math specific database functions
 </li>
 <li>
 Experience with modern ETL processes, collection, ingestion, storage, cleaning, transformation, analysis of data
 </li>
 <li>
 Software design skills - software patterns, application, data system design
 </li>
 <li>
 Math statistics knowhelege, i.e. stdev, quartiles, ability to apply them for drift or outlier detection
 </li>
 <li>
 Infrastructure as a code is a plus
 </li>
 <li>
 Experience with databricks as a plus
 
 
 </li>
 </ul>
 
 Our Stack
 
 
 
 <ul>
 <li>
 GCP platform
 </li>
 <li>
 BigQuery
 </li>
 <li>
 Dbt
 </li>
 <li>
 Databricks
 </li>
 <li>
 Spark structured streaming
 </li>
 <li>
 AWS message brokers
 </li>
 <li>
 Tableau, Redash
 
 
 </li>
 </ul>
 
 Inside Snoonu&rsquo;s Universe
 
 
 
 Snoonu is Qatar&rsquo;s homegrown Super App, reinventing daily life with blazing-fast delivery, ride-hailing, and shopping - all in one place. Powered by tech, driven by a global team, and obsessed with making life easier.
 
 
 
 The Dream We&rsquo;re Chasing
 
 
 
 To be the first Qatari Super App that propels the region and its community through innovation and technology. We envision a global expansion where what we do surpasses norms and limitations every time.
 
 
 
 The Quest We&rsquo;re On
 
 
 
 To radically transform how people live by leveraging technology to connect them with endless possibilities.
 
 
 
 Our Everyday Superpowers
 
 
 
 
 👥 Be Customer Obsessed:
 
 &ldquo;Focus on the customer and all else will follow.&rdquo;
 
 
 
 💪 Act with Integrity:
 
 &ldquo;We are honest, ethical, and trustworthy in everything we do.&rdquo;
 
 
 
 🧪 Be Curious and Creative:
 
 &ldquo;We constantly innovate and create solutions to bring a lasting positive impact.&rdquo;
 
 
 🏅
 
 Lead by Example and Take Ownership:
 
 &ldquo;Be the change you want to see and take ownership.&rdquo;
 
 
 
 🚀 Work Smart and Deliver Results:
 
 &ldquo;You can do more by doing less, better, and faster.&rdquo;
 
 
 
 👨&zwj;💼 It's All About People:
 
 &ldquo;Be a team player; together we are stronger.&rdquo;
 
 
 
 Perks &amp; Worklife Magic At Snoonu
 
 
 
 
 🌐 Global Vibes &ndash;
 
 Collaborate with a worldwide crew.
 
 
 
 🧠 Brain Boosters &ndash;
 
 Learning budgets, access to courses, and tools for your growth.
 
 
 
 🚒 Builder&rsquo;s Playground &ndash;
 
 Own your tasks, own your path! We&rsquo;re big on autonomy.
 
 
 🏝️
 
 Flexible Time Off &ndash;
 
 We take recharging seriously. Generous leave and wellness policies.
 
 
 
 🛠️ Agile Everything &ndash;
 
 Scrum isn&rsquo;t a buzzword here. It&rsquo;s how we roll, from product to ops.
 
 
 
 Beyond the Code: Giving Back Matters
 
 
 
 We don&rsquo;t just build app. We&rsquo;re committed to doing business sustainably and giving back to the community that fuels us. From eco-conscious practices to CSR projects, we&rsquo;re always finding ways to do better&mdash;and we invite you to be a part of that mission.
 
 
 
 Diversity Isn&rsquo;t Just a Buzzword
 
 
 
 At Snoonu, fairness and inclusion are the foundation of everything we do. We&rsquo;re proud to be an equal opportunity workplace that welcomes people from every walk of life. Be bold. Be you. Thrive here.
 
 
 
 Let&rsquo;s Build the Future Together
 
 
 
 Apply now to join a tech team where your code sparks change, your voice is heard, and your growth is guaranteed. Let&rsquo;s make some tech magic together.
 
 
 Stay in the loop&mdash;connect with us on LinkedIn!
</div>

ML Data Engineer Senior

Sintaxy Digital Solutions Ltd

About the Role At Sintaxy Digital Solutions Ltd, we build data platforms that power critical business decisions. We believe data should be reliable, scalable, and accessible not just for analysts, but for the entire organization. We are looking for a Senior Data Engineer who can take ownership of our analytics infrastructure and drive the development of high performance data systems.You are not just writing pipelines. You are designing the foundation that enables real time insights, machine learning, and data driven strategy. You will work closely with engineering, product, and business teams to transform complex data into structured, usable assets.Why Work With UsThe Environment Our office is located in Al Sadd Business District, a central commercial hub in Doha. We provide a professional and collaborative workspace designed for focus and productivity.Data Maturity We treat data as a core product. You will have ownership and influence from day one, with leadership support for building scalable and modern data systems.Modern Stack We work with cloud native tools including AWS, Python, Spark, Airflow, and modern data warehouses. Our engineering teams follow best practices in CI CD and infrastructure automation.Growth You will have access to certifications, training programs, and opportunities to work on large scale data platforms across industries.Key ResponsibilitiesData Platform Ownership Design, build, and maintain scalable data pipelines and ETL processes for structured and unstructured data.End to End Data Engineering Develop data ingestion, transformation, and storage solutions that support analytics, reporting, and machine learning use cases.Performance Optimization Ensure high performance and cost efficient data processing across large datasets and distributed systems.Data Quality and Governance Implement data validation, monitoring, and governance frameworks to ensure accuracy, consistency, and security.Collaboration Work closely with data analysts, data scientists, and software engineers to deliver reliable data solutions aligned with business goals.What We Are Looking ForExperience 5 to 8 years of experience in data engineering or backend engineering with strong exposure to data platforms.Technical Skills Strong experience in Python and SQL Hands on experience with cloud platforms such as AWS Experience with Spark, Airflow, or similar tools Knowledge of data warehousing and data modeling conceptsSystems Thinking Ability to design scalable and maintainable data architectures for high volume environments.Communication Skills Strong ability to communicate technical concepts to both technical and non technical stakeholders.Mindset You are solution oriented, detail focused, and able to balance speed with quality in a production environment.Job Types: Full-time, PermanentPay: QAR18,000.00 - QAR26,000.00 per monthWork Location: In person

Senior Data Engineer Analytics Platforms

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>

Pavement Data Collection Engineer (Roads O&M)

Arabian Advanced Digital Solutions & Machine Learning (AADSML)

About the RoleWe are looking for a detail-oriented Data Specialist to join our data team. In this role, you will be responsible for managing, analyzing, and improving the quality of our data assets. You will work closely with data engineers, analysts, and business stakeholders to ensure data is accurate, accessible, and secure.Key ResponsibilitiesData Management &amp; Quality<ul><li>Collect, clean, and validate data from multiple internal and external sources.</li><li>Identify, troubleshoot, and resolve data inconsistencies, duplicates, and errors.</li><li>Implement and monitor data quality rules and metrics.</li><li>Maintain data dictionaries, metadata, and lineage documentation.</li></ul>Data Processing &amp; Integration<ul><li>Develop and maintain ETL/ELT pipelines for data ingestion and transformation.</li><li>Automate repetitive data tasks using scripts (Python, SQL, or similar).</li><li>Support the integration of new data sources into the data warehouse or lake.</li></ul>Reporting &amp; Analysis<ul><li>Generate regular and ad-hoc reports, dashboards, and data extracts for stakeholders.</li><li>Perform exploratory data analysis to identify trends, patterns, and anomalies.</li><li>Translate business questions into data queries (SQL, BI tools).</li></ul>Compliance &amp; Security<ul><li>Ensure data handling complies with relevant regulations (GDPR, CCPA, HIPAA, etc.).</li><li>Apply data masking, anonymization, or pseudonymization where required.</li><li>Support access control and data governance policies.</li></ul>Required QualificationsEducation &amp; Experience<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Systems, Statistics, Mathematics, Economics, or a related field (or equivalent work experience).</li><li>2+ years of experience in a data-focused role (Data Specialist, Data Analyst, Junior Data Engineer, etc.).</li></ul>Technical Skills<ul><li>Advanced proficiency in SQL (joins, subqueries, window functions, query optimization).</li><li>Strong experience with Python or R for data manipulation and automation.</li><li>Familiarity with data quality frameworks (Great Expectations, Deequ, or custom solutions).</li><li>Experience working with relational databases (PostgreSQL, MySQL, SQL Server) and cloud platforms (AWS, GCP, Azure &ndash; at least one).</li><li>Working knowledge of ETL tools (dbt, Airflow, Talend, SSIS, or similar).</li><li>Proficiency with data visualization tools (Tableau, Power BI, Looker, or Metabase) is a plus.</li></ul>Soft Skills<ul><li>Strong attention to detail and commitment to data accuracy.</li><li>Analytical mindset with problem-solving aptitude.</li><li>Ability to communicate technical findings to non-technical stakeholders.</li><li>Self-starter comfortable managing multiple priorities.</li></ul>Preferred Qualifications (Nice to Have)<ul><li>Experience with big data technologies (Spark, Snowflake, BigQuery, Redshift).</li><li>Knowledge of data governance tools (Collibra, Alation, Purview).</li><li>Familiarity with data modeling (star schema, data vault, or similar).</li><li>Certification in data management (CDMP, DAMA) or cloud data (AWS Data Analytics, Azure Data Engineer Associate).</li><li>Experience in [specific industry &ndash; e.g., e-commerce, healthcare, finance, logistics].</li></ul>Pay: QAR85,000.00 - QAR120,000.00 per yearWork Location: In person

Data Specialist

<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 
Collate, combine and manipulate asset and defect data to prioritise works and propose the Capital Investment Plan.
Systems integration and data analysis.
Understanding of data architectures, ability to extract, manipulate, combine data, build dashboards, automation scripts.<ul><li>
Collect, process, and analyze large datasets related to road conditions, traffic patterns, and maintenance activities</li><li>
Develop and implement machine learning models to predict road deterioration and optimize maintenance schedules</li><li>
Create data visualization dashboards and reports to communicate insights to stakeholders effectively</li><li>
Collaborate with engineering teams to integrate data-driven insights into O&amp;M decision-making processes</li><li>
Design and maintain databases to store and manage road infrastructure data</li><li>
Utilize GIS technologies to perform spatial analysis of road networks and related infrastructure</li><li>
Develop predictive models to forecast traffic patterns and identify potential congestion areas</li><li>
Contribute to the development of data-driven strategies for improving road safety and reducing maintenance costs</li><li>
Stay up-to-date with the latest advancements in data science and machine learning techniques relevant to transportation infrastructure</li></ul> 

Additional Information</div>

Data Scientist (Roads O&M)

C2HR LLP

Immediate Joiner - MustJob Type: Full-Time Salary: Up to QAR 10,000 (All-inclusive)Job Description:We are seeking a qualified and experienced Survey Engineer to join our team in Doha. The ideal candidate will be responsible for conducting land surveys, setting out construction sites, and ensuring accuracy in project layouts.Key Responsibilities:<ul><li>Perform land and site surveys using modern equipment (Total Station, GPS)</li><li>Prepare and maintain survey data and reports</li><li>Coordinate with civil engineering and construction teams</li><li>Ensure accurate project layout and alignment</li></ul>Requirements:<ul><li>Proven experience as a Survey Engineer</li><li>Must hold valid UPDA/MMUP classification (Grade A, B, or C)</li><li>Strong knowledge of surveying tools and software</li><li>Ability to work independently and on-site</li></ul>Job Type: PermanentPay: Up to QAR10,000.00 per monthApplication Question(s):<ul><li>Current Salary?</li><li>Able to join Immediate?</li></ul>Experience:<ul><li>Survey engineer: 3 years (Preferred)</li></ul>Work Location: In person

Survey Engineer - valid UPDA/MMUP

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