Data Engineer

TalentRecruit Software Private Limited; Dubai; On-site; AED 279,000 - 469,000; Part time

Job summary

TalentRecruit Software Private Limited is seeking an experienced Data Engineer in Dubai to design, build, and optimize scalable ETL/ELT pipelines and cloud-based data solutions. The role supports enterprise analytics, AI, and reporting needs.

The ideal candidate has 5+ years in data engineering, experience with data modelling and data warehouses, and a strong focus on data quality, security, and performance optimization. This is a work-from-office contract role in Dubai.

Qualifications

• 5+ years in Data Engineering or a related field.
• Experience designing and building scalable ETL/ELT pipelines.
• Strong experience with data modelling, data warehouses and cloud data solutions.
• Knowledge of data quality, security and performance optimisation practices.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines.
• Build data integration and transformation solutions using cloud technologies.
• Develop data models, data warehouses, and real-time data processing solutions.
• Implement data quality, validation, security, and performance optimisation practices.
• Support AI/ML and analytics workloads and collaborate with Data Scientists and business teams.
• Implement CI/CD and MLOps practices for automated data deployments.

Skills

ETL/ELT

Data Modelling

CI/CD & MLOps

Education

Bachelor's/Master's in CS/Engineering/Data Engineering

Job description

Job Location Dubai (Work From Office)

Job Type Contract

Job Description

Experience: 5+ years in Data Engineering or a related field

Job Summary

We are looking for an experienced Data Engineer with strong expertise in building scalable ETL/ELT pipelines, data integration frameworks, and cloud-based data solutions. The candidate will be responsible for developing reliable data platforms to support enterprise analytics, AI, and reporting requirements.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines.
• Build data integration and transformation solutions using cloud technologies.
• Develop data models, data warehouses, and real-time data processing solutions.
• Implement data quality, validation, security, and performance optimisation practices.
• Support AI/ML and analytics workloads and collaborate with Data Scientists and business teams.
• Implement CI/CD and MLOps practices for automated and reliable data deployments.

Key Skills

• ETL/ELT, Data Modelling & Data Warehousing
• Data Quality & Performance Optimisation
• CI/CD, MLOps and Cloud Data Engineering

Education: Bachelor’s/Master’s degree in Computer Science, Engineering, Data Engineering, or a related field.