Data Engineer

Khalifa University; Abu Dhabi; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading university in the UAE is seeking a Data Engineer responsible for designing and maintaining scalable data pipelines for analytics and reporting. Candidates should have over 8 years of experience in data engineering roles, with hands-on skills in building ETL/ELT pipelines. A Bachelor's degree in Computer Science or a related field is required, and a Master's degree is advantageous. The role demands collaboration across teams to ensure data quality and operational excellence.

Qualifications

• 8+ years of experience in data engineering, analytics engineering, or backend engineering roles.
• Strong hands-on experience building and maintaining ETL/ELT pipelines.
• Proven experience with Structured, semi-structured, and unstructured data.

Responsibilities

• Design, develop, and maintain scalable, reliable data pipelines for batch and real-time processing.
• Ingest, transform, and curate data from multiple internal and external sources.
• Ensure data quality, completeness, and accuracy through validation, monitoring, and reconciliation checks.

Skills

ETL/ELT pipelines

Relational databases

NoSQL databases

Data warehousing

Cloud platforms (Azure, AWS, GCP)

Education

Bachelor’s degree in Computer Science or related field

Master’s degree

Job description

The Data Engineer is responsible for designing, building, and maintaining scalable, reliable, and high-quality data pipelines and platforms that enable analytics, reporting, and data-driven decision-making. The role focuses on transforming raw data into trusted, accessible datasets while ensuring performance, security, and operational excellence across the data ecosystem.

Key Roles & Responsibilities

• Design, develop, and maintain scalable, reliable data pipelines for batch and real-time processing
• Ingest, transform, and curate data from multiple internal and external sources
• Build and optimize data models and datasets for analytics, reporting, and downstream consumption
• Ensure data quality, completeness, and accuracy through validation, monitoring, and reconciliation checks
• Implement and maintain data orchestration, scheduling, and automation workflows
• Optimize data processing performance and cloud resource utilization
• Collaborate with data architects to align implementations with enterprise data architecture standards
• Work closely with analysts, data scientists, and business teams to understand data requirements
• Support BI, analytics, and AI/ML use cases by delivering well-documented and trusted datasets
• Implement data security, access controls, and privacy requirements within data pipelines
• Troubleshoot and resolve data pipeline failures and performance issues
• Contribute to DevOps and CI/CD practices for data solutions
• Document data pipelines, transformations, and operational procedures
• Participate in code reviews and promote data engineering best practices

Qualifications & Experience

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or a related field
• Master’s degree is an advantage but not mandatory
• 8+ years of experience in data engineering, analytics engineering, or backend engineering roles
• Strong hands-on experience building and maintaining ETL/ELT pipelines
• Proven experience working with Relational and NoSQL databases, Data warehouses and data lakes, Structured, semi-structured, and unstructured data, Experience with cloud data platforms (e.g., Azure, AWS, GCP)