Data Engineer – Big Data & AI Platforms | Doha, Qatar

📍 Location

Doha

🗂 Job Category

• Information Technology (IT) & Software
• Science & Research
• Engineering & Technical
• Telecommunications
• Banking & Insurance
• Retail & E-commerce
• Remote / Work-from-Home Opportunities

🧾 Job Overview

A confidential executive search mandate is seeking experienced Data Engineers to develop scalable big data and AI platform infrastructure in Doha. This opportunity is designed for data engineering professionals with expertise in cloud data platforms, distributed data processing, and enterprise-scale analytics environments within telecom, fintech, and e-commerce sectors.

The role focuses on building high-performance data pipelines, optimizing enterprise data architecture, and supporting AI and analytics initiatives through scalable data engineering solutions. Candidates will collaborate with data science, analytics, and engineering teams to deliver reliable and efficient data systems that power machine learning, business intelligence, and enterprise decision-making initiatives.

This position offers strong long-term career growth for professionals seeking advancement in big data engineering, cloud data architecture, and AI platform development. Candidates will gain exposure to enterprise-scale data ecosystems, modern cloud technologies, and advanced analytics infrastructure while contributing to strategic digital transformation and AI innovation programs.

🛠 Key Responsibilities

• Build and maintain scalable data pipelines and ETL systems
• Work with big data frameworks such as Spark and Hadoop
• Support AI, analytics, and business intelligence teams with reliable data infrastructure
• Optimize data architecture, performance, and processing efficiency
• Ensure data governance, quality, and operational reliability
• Develop cloud-based data engineering and integration solutions
• Collaborate with cross-functional engineering and analytics teams
• Monitor data workflows, system performance, and infrastructure stability
• Implement data engineering best practices and automation strategies
• Maintain technical documentation and enterprise data standards

🎓 Requirements & Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Information Technology, Software Engineering, or related field
• 5–10+ years of data engineering or big data infrastructure experience
• Strong expertise in Python, SQL, Spark, and ETL development
• Experience working with Databricks and enterprise cloud data platforms
• Knowledge of distributed data processing and big data architectures
• Experience with cloud environments such as AWS, Azure, or GCP preferred
• Strong understanding of data governance, data quality, and performance optimization
• Experience supporting AI, machine learning, or analytics workloads
• Strong analytical, troubleshooting, and problem-solving capabilities
• Excellent communication and collaboration skills within technical environments
• Certifications in cloud platforms, data engineering, or big data technologies are advantageous

💼 Salary, Benefits & Career Growth

Monthly Compensation Package:
QAR 25,000 – 40,000 per month (Tax-Free)

Benefits

• Performance-based bonus opportunities
• Relocation support
• Healthcare coverage
• Exposure to enterprise-scale AI and analytics platforms
• Opportunity to work on advanced big data and cloud transformation initiatives

Career Growth & Professional Development

• Long-term career progression in data engineering and AI platform architecture
• Opportunities to work on enterprise-scale analytics and machine learning ecosystems
• Professional development through cloud modernization and big data engineering initiatives
• Exposure to advanced Spark, Databricks, and cloud-native data technologies

📝 Application Process

🔗 Application Process (Website):

Apply only through the official job application process.
Click Apply Now on the website.

📧 HR Email for Application

📩 Send your updated CV directly

Referred by: Rashid Naseem – Recrenza