Senior Data Engineer: Build Scalable ETL/ELT Pipelines

Abu Dhabi Department of Economic Development; Abu Dhabi; On-site; AED 320,000 - 520,000; Full time

Job summary

Abu Dhabi Department of Economic Development seeks a senior data engineer to design, build, and operate scalable data pipelines across multi-source environments. You will drive data ingestion and transformation, ensure data quality, and enable analytics and AI/ML initiatives with trusted datasets.

You will mentor junior engineers and collaborate with product and analytics teams. Ideal candidates have 8+ years in data engineering, expertise in SQL, Python, Spark/Scala, and cloud platforms

Qualifications

• 8+ years of experience in data engineering, data platforms, or analytics engineering.
• Proven experience building and operating scalable, production-grade data pipelines.
• Experience in complex, multi-source enterprise environments.

Responsibilities

• Design, build, and maintain robust ETL/ELT pipelines.
• Develop and optimize data ingestion, transformation, and processing workflows.
• Ensure data reliability, performance, and scalability.
• Implement data quality, validation, and monitoring within pipelines.
• Support analytics, BI, and AI/ML use cases with trusted datasets.
• Mentor junior data engineers and review code.

Skills

SQL tuning

Python

Spark/Scala

CI/CD

DevOps

Data modeling

Collaboration with architects

Analytics readiness

Education

Bachelor's degree in CS/Engineering or related field

Cloud or data engineering certifications are a plus

Tools

Data Warehouses

Data Lakes

Lakehouse architectures

AWS

Azure

GCP

Airflow

Azure Data Factory

Dagster

Kafka

Git

Job description

Abu Dhabi Department of Economic Development seeks a senior data engineer to design, build, and operate scalable data pipelines across multi-source environments. You will drive data ingestion and transformation, ensure data quality, and enable analytics and AI/ML initiatives with trusted datasets.

You will mentor junior engineers and collaborate with product and analytics teams. Ideal candidates have 8+ years in data engineering, expertise in SQL, Python, Spark/Scala, and cloud platforms