Data Engineer: Scalable Pipelines & Data Quality

ADC; Abu Dhabi; On-site; AED 180,000 - 280,000; Full time

Job summary

ADC in Abu Dhabi is seeking a Data Engineer to design, build, and maintain scalable data pipelines and integrations across enterprise systems. You will connect source systems, transform data, and ensure data quality for analytics, applications, and AI use cases.

You will work with data from structured and unstructured sources, develop ETL/ELT processes, troubleshoot pipeline failures, and collaborate with developers, data scientists, analysts, and solution architects.

Qualifications

• 3+ years of experience in Data Engineering, ETL/ELT, or a related technical field.
• Strong SQL and Python skills.
• Experience building data pipelines and integrating multiple source systems.
• Experience with databases, data warehouses, APIs, and cloud technologies.
• Strong understanding of data quality, validation, governance, and data lineage.
• Experience working with large and complex datasets.
• Experience working in Agile or cross-functional technical environments.

Responsibilities

• Build, maintain, and optimize scalable data pipelines and data processing workflows.
• Connect and integrate data from multiple enterprise source systems.
• Develop ETL/ELT processes and data transformations.
• Work with structured and unstructured data sources.
• Implement data quality checks, validation, monitoring, and remediation processes.
• Develop reusable and scalable data pipelines.
• Troubleshoot pipeline failures and data-related issues.

Skills

Python

SQL

ETL/ELT

Data pipelines

Data integration

Data quality

Troubleshooting

Tools

APIs

Cloud platforms

Data warehouses

Databases

Job description

ADC in Abu Dhabi is seeking a Data Engineer to design, build, and maintain scalable data pipelines and integrations across enterprise systems. You will connect source systems, transform data, and ensure data quality for analytics, applications, and AI use cases.

You will work with data from structured and unstructured sources, develop ETL/ELT processes, troubleshoot pipeline failures, and collaborate with developers, data scientists, analysts, and solution architects.