planning engineer

cloud engineer

estimation engineer

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data engineer

PROZ TECHNOLOGIES

Hello, Greetings from Proztec Qatar! I hope everything is going well with you.JOB DESCRIPTIONThe Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and architectures to support data processing and analytics. The role focuses on handling large datasets, ensuring data quality, and enabling seamless integration across systems. The engineer will work closely with data analysts, data scientists, and business teams to deliver reliable and efficient data solutions.DUTIES &amp; RESPONSIBILITIES<ul><li>Design, build, and maintain scalable ETL/ELT data pipelines</li><li>Process and manage large volumes of structured and unstructured data</li><li>Develop and optimize SQL queries for data extraction and transformation</li><li>Ensure data quality, integrity, and consistency across systems</li><li>Integrate data from multiple sources including APIs, databases, and cloud platforms</li><li>Monitor and troubleshoot data pipeline performance issues</li><li>Collaborate with data analysts and data scientists to support analytics and reporting needs</li><li>Implement data governance and security best practices</li><li>Maintain documentation for data flows, models, and pipelines</li><li>Optimize data storage and processing for performance and cost efficiency</li></ul>SKILLS &amp; ABILITIES<ul><li>Strong experience in SQL and database management</li><li>Hands-on experience with ETL/ELT processes and tools</li><li>Proficiency in Python for data processing and automation</li><li>Knowledge of Big Data technologies (e.g., Hadoop, Spark)</li><li>Experience with cloud data platforms (AWS, Azure, or GCP)</li><li>Strong problem-solving and analytical skills</li></ul>POTENTIAL BACKGROUND<ul><li>Minimum 4+ years of experience in Data Engineering</li><li>Experience handling large-scale data processing and pipelines</li><li>Exposure to enterprise data architecture and analytics environments</li><li>Experience working with cloud-based data solutions is a plus</li></ul>CERTIFICATIONS (MANDATORY/PREFERRED)<ul><li>Google Professional Data Engineer &ndash; Preferred</li><li>Azure Data Engineer Associate &ndash; Preferred</li><li>AWS Data Analytics Certification &ndash; Preferred</li></ul>LANGUAGE REQUIREMENT<ul><li>Arabic or Non-Arabic Speaker</li></ul>WORK LOCATION<ul><li>Onshore &amp; Offshore</li></ul>SOFT SKILLS<ul><li>Strong analytical and problem-solving abilities</li><li>Good communication and collaboration skills</li><li>Attention to detail and data accuracy</li><li>Ability to manage multiple tasks and deadlines</li><li>Proactive and solution-oriented mindset</li></ul>If you&rsquo;re interested or have relevant experience, feel free to share your updated CV.Job Type: Full-timePay: QAR15,000.00 - QAR18,000.00 per monthWork Location: In person

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

Avey

<div>
 
 Location: Doha, Qatar / Remote
 
 
 Position Type: Full-Time
 
 
 
 
 
 
 About Avey
 
 
 
 
 
 
 Avey is a deep-tech company innovating AI to transform healthcare and improve lives across the globe.&nbsp;
 
 
 
 
 
 Avey is on a mission to unlock the full potential of clinical care and make every health journey delightful.
 
 
 
 
 
 We are looking for enthusiastic, hard-working professionals who are excited to contribute to and join Avey&rsquo;s mission to create a solution that will have a real and positive effect on the world.
 
 
 
 
 
 
 Position Overview
 
 
 
 
 
 
 We are looking for a skilled and versatile Data &amp; Analytics Engineer to build and manage the data infrastructure that powers our life-changing healthcare AI solutions. This hybrid role involves traditional data engineering tasks like data processing and cleaning, as well as designing and developing analytics dashboards to support business intelligence. This role is critical for ensuring our teams have reliable access to high-quality data and the insights derived from it.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 1. Data Pipeline Development &amp; Maintenance:
 
 
 
 
 
 
 *	Design, build, and operationalize complex ETL/ELT pipelines to process, clean, and normalize large volumes of structured and unstructured healthcare data (e.g., EHR/EMR, medical imaging, clinical notes, genomics).
 
 
 *	Develop and maintain data workflows and orchestration using tools like Apache Airflow, Prefect, or similar.
 
 
 *	Ensure the reliability, efficiency, and scalability of all data pipelines.
 
 
 *	Cost optimization (storage, compute, retention).
 
 
 
 
 
 
 2. Analytics &amp; Business Intelligence:
 
 
 
 
 
 
 *	Design, develop, and maintain interactive and user-friendly analytics dashboards and reports for various business units using BI tools (e.g., Tableau, Power BI, Looker).
 
 
 *	Work with stakeholders to gather requirements and translate business questions into technical specifications for BI solutions and ad-hoc analyses.
 
 
 *	Present data-driven insights to both technical and non-technical audiences to support strategic decision-making.
 
 
 
 
 
 
 3. Data Architecture &amp; Modeling:
 
 
 
 
 
 
 *	Architect and manage data storage solutions, including data lakes, data warehouses, and feature stores, on cloud platforms (AWS, Azure, or GCP).
 
 
 *	Develop data models and database schemas that are optimized for analytics, machine learning, and application performance.
 
 
 *	Implement best practices for data management and governance.
 
 
 
 
 
 
 4. Data Quality &amp; Compliance:
 
 
 
 
 
 
 *	Implement rigorous processes for data quality assurance, data validation, and anomaly detection.
 
 
 *	Work closely with the security and compliance teams to ensure all data handling practices are compliant with healthcare regulations, including HIPAA and GDPR.
 
 
 *	Develop and enforce data anonymization and de-identification procedures to protect patient privacy.
 
 
 
 
 
 
 5. Collaboration &amp; Support:
 
 
 
 
 
 
 *	Collaborate with data scientists to understand their data requirements and provide the necessary infrastructure and tools for model training and validation.
 
 
 *	Work with software engineers to integrate data services and APIs into our end-user products.
 
 
 
 
 
 
 Requirements:
 
 
 
 
 
 
 *	STEM degree or equivalent practical experience.
 
 
 *	Working experience in multi-cloud architecture &amp; disaster recovery.
 
 
 *	Experience in API-based ingestion (rate limits, pagination, retries)
 
 
 *	LLM / AI data pipelines (dataset generation, batch inference, validation, OCR, multimodal data processing (text + images)
 
 
 *	Parallel processing &amp; pipeline performance optimization
 
 
 *	Large-scale data ingestion (web scraping, multi-source pipelines with fallback)
 
 
 *	Dimensional modeling (Kimball) &amp; Slowly Changing Dimensions (SCD)
 
 
 *	Delta Lake / Lakehouse architecture
 
 
 
 
 
 
 Nice to Have:
 
 
 
 
 
 
 *	Healthcare Experience (HIS/EMR systems, Cerner is a huge plus).
 
 
 *	Prior GCC Experience (NIA Qatar, HIPAA, or GDPR)
 
 
 *	Experience working in a Startup environment.
 
 
 *	Autoscaling inference APIs.
 
 
 *	CKA/CKAD/CKS or AWS/Azure certs.
 
 
 
 
 
 Note:
 
 
 
 
 
 Avey is an equal opportunity employer. We encourage candidates from all backgrounds to apply.
 
 
 This job description is not exhaustive and may be subject to change based on the evolving needs of the company.
 
</div>

Yimmiline Digital Solutions Ltd

About the Role: At Yimmiline Digital Solutions Ltd, we build scalable data platforms that power intelligent business decisions. Our focus is on delivering high performance data systems that support analytics, machine learning, and real time insights for enterprise clients. We believe that strong data foundations drive innovation, and we are looking for a Senior Data Engineer Analytics to lead the design and optimization of our data infrastructure.You will play a key role in transforming raw data into reliable and structured datasets that support analytics and business intelligence. You are not just moving data you are designing systems that enable faster smarter decisions across the organization.Why Work With Us:The Environment: Our office is located in a prime commercial district in Doha, offering a professional and collaborative workspace designed for focus and innovation.Impact and Ownership: You will take ownership of critical data systems and have direct influence on architecture and technical decisions from day one.Modern Stack: We work with modern cloud platforms and tools including AWS Azure GCP Spark Airflow and advanced SQL based systems.Growth: We support continuous learning with access to training resources certifications and industry events to keep your skills competitive.Key Responsibilities:Data Pipeline Development: Design build and maintain scalable ETL and ELT pipelines for structured and unstructured dataData Architecture: Develop and optimize data models data warehouses and lakehouse architecturesPerformance Optimization: Ensure data systems are efficient reliable and capable of handling large scale data processingData Quality and Governance: Implement validation monitoring and governance processes to maintain high data qualityCollaboration: Work closely with data analysts data scientists and business stakeholders to understand requirements and deliver solutionsCloud Integration: Manage and optimize cloud based data platforms and storage solutionsWhat We Are Looking For:Experience: 5 to 8 years of experience in data engineering analytics or related rolesTechnical Skills: Strong experience with SQL Python and data processing frameworks such as SparkCloud Platforms: Hands on experience with AWS Azure or GCPTools: Experience with Airflow dbt Kafka or similar data orchestration and streaming toolsData Warehousing: Strong understanding of data modeling ETL processes and warehouse designMindset: Detail oriented problem solver with the ability to work independently and deliver high quality solutionsالراتب المدفوع: QAR١٨٬٥٠٠٫٠٠&nbsp;لكل ساعةموقع العمل: بشكل شخصي

Senior Data Engineer Analytics

Omega Systems and Infrastructure Solutions Ltd

About the Role At Omega Systems and Infrastructure Solutions Ltd, we build scalable data platforms that power intelligent decision making for enterprise clients. We believe data should not just be stored it should be structured, accessible, and actionable.We are looking for a Senior Data Engineer Analytics who can take ownership of our data architecture and pipelines. You will play a key role in designing robust data systems, enabling analytics, and supporting advanced reporting and machine learning initiatives.You are not just moving data you are building the foundation that drives business insights. You will work closely with data analysts, data scientists, and engineering teams to transform raw data into meaningful solutions.Why Work With UsThe Environment Our office in Doha is located in a central business district, offering a professional and collaborative workspace designed for productivity and innovation.Data Driven Culture We rely on data to guide decisions. Your work will directly impact strategy, operations, and client success.Modern Stack We use modern tools including SQL, Python, cloud data platforms, and distributed processing frameworks to handle large scale data workloads.Growth You will have access to certifications, training programs, and opportunities to work on complex enterprise level projects.Key ResponsibilitiesData Pipeline Development Design, build, and maintain scalable ETL and ELT pipelines for structured and unstructured data.Data Architecture Develop and optimize data models, data warehouses, and data lakes to support analytics and reporting.Performance Optimization Ensure high performance and reliability of data systems through monitoring, tuning, and troubleshooting.Collaboration Work closely with data analysts and data scientists to deliver clean, usable datasets for reporting and modeling.Data Governance Implement best practices for data quality, security, and compliance across all systems.What We Are Looking ForExperience 5 to 8 years of experience in data engineering or analytics engineering roles.Technical Skills Strong experience with SQL and Python Experience with cloud platforms such as AWS Azure or GCP Familiarity with data warehousing solutions such as Snowflake BigQuery or Redshift Knowledge of ETL tools and workflow orchestration toolsData Expertise Strong understanding of data modeling, data structures, and large scale data processing.Mindset Detail oriented and solution focused with the ability to work in fast paced environments.Communication Ability to collaborate with both technical and non technical stakeholders.نوع الوظيفة: دوام كامل, مؤقتالراتب المدفوع: QAR٢٠٬٠٠٠٫٠٠&nbsp;لكل شهرموقع العمل: بشكل شخصي

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

Agoda

<div>
 
 About Agoda
 
 
 
 At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
 
 
 Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
 
 
 No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you&rsquo;re ready to begin your best journey and help build travel for the world, join us.
 
 
 
 Position Overview
 
 
 
 The Data Platform Engineer is responsible for designing, building, and operating a cloud-native data platform built on Snowflake and public cloud infrastructure. This role owns the full lifecycle of the data platform &mdash; from cloud environment provisioning and data lake architecture to transformation pipelines, security enforcement, and data sharing &mdash; enabling reliable, governed, and scalable data access across the organization.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Provision and manage cloud environments including storage, networking, and IAM across public cloud platforms (AWS / GCP / Azure).
 </li>
 <li>
 Architect and administer Snowflake as the organization's unified Data Lake and Data Warehouse platform.
 </li>
 <li>
 Define and enforce Data Access Policies with encryption, IAM, and Snowflake network policies.
 </li>
 <li>
 Build and maintain dbt transformation models with Git-based version control across staging and production data layers.
 </li>
 <li>
 Define platform standards, and best practices for data ingestion, transformation, and consumption layers.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 
 <ul>
 <li>
 Hands-on experience with at least one major public cloud platform (AWS, GCP, or Azure), covering storage, networking, and IAM.
 </li>
 <li>
 Strong Snowflake administration skills including RBAC design, Data Sharing, external tables, and Snowpark.
 </li>
 <li>
 Proficiency in dbt (Core or Cloud) for model development, testing, and documentation.
 </li>
 <li>
 Experience with Infrastructure-as-Code tooling such as Terraform for cloud resource provisioning.
 </li>
 <li>
 Experience with pipeline orchestration using Snowflake Scheduling, Apache Airflow, or equivalent tools.
 
 
 </li>
 </ul>
 
 Scope of Ownership
 
 
 
 <ul>
 <li>
 Responsible for the end-to-end design, provisioning, and operation of the cloud data platform &mdash; spanning raw ingestion zones through to curated, analytics-ready data layers &mdash; ensuring reliability, scalability, and cost efficiency across all environments.
 </li>
 <li>
 Maintains overall responsibility for the unified data warehouse and lake platform architecture, including performance tuning, resource management, cost governance, and the evolution of the platform as organizational data needs grow.
 </li>
 <li>
 Owns the transformation layer from design through to production, ensuring data models, testing frameworks, and documentation are accurate, consistent, and fit for consumption across all downstream use cases.
 </li>
 <li>
 Drives the definition and adoption of platform-wide standards covering data ingestion, transformation, and consumption patterns, and evaluates tooling and architectural decisions as the platform matures.
 
 
 </li>
 </ul>
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 Please review our Hiring Process Guidelines before your interview &mdash; click here to learn how interviewing at Agoda works.
 
 
 
 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
</div>

Senior/Staff Data Platform Engineer - (Bangkok based, relocation provided)

Explore 1412+ Data engineer in Qatar this May. Find roles across top companies and apply now to boost your career.

1412 data engineer jobs In Qatar

Data Engineer

Data Engineer

Data Engineer

Senior Data Engineer Analytics

Senior Data Engineer Analytics

Senior Data Engineer Analytics Platforms

Senior/Staff Data Platform Engineer - (Bangkok based, relocation provided)