Data Engineer – Azure Data Engineering & Data Warehousing | Abu Dhabi, UAE

Location

Abu Dhabi, United Arab Emirates (UAE)

Job Category

• Information Technology (IT) & Software
• Engineering & Technical

Job Overview

An exciting opportunity is available for an experienced Data Engineer in Abu Dhabi, UAE. The organization is seeking professionals with strong expertise in Data Engineering, Data Warehousing, and modern cloud-based data platforms. Immediate joiners and candidates with shorter notice periods will be given preference.

The successful candidate will be responsible for designing, developing, and optimizing scalable data pipelines that support enterprise data integration, analytics, and business intelligence initiatives. Working with Microsoft Azure technologies, the role involves developing reliable ETL/ELT solutions, implementing real-time and batch data processing, and maintaining high-performance cloud data architectures.

This position offers excellent career growth for professionals looking to advance their expertise in cloud data engineering, enterprise analytics, and big data technologies. Candidates with relevant technical certification, continuous professional development, and hands-on experience with Azure data services will have opportunities to enhance their technical skills while contributing to large-scale enterprise projects.

Key Responsibilities

• Design and develop scalable ETL and ELT data pipelines.
• Build enterprise-grade data integration workflows.
• Develop real-time and batch data ingestion solutions.
• Design and optimize cloud-based data engineering architectures.
• Implement data transformations and processing using PySpark.
• Develop and maintain Azure Databricks solutions.
• Build and manage Azure Data Factory (ADF) pipelines.
• Integrate streaming data using Azure Event Hub.
• Work with Azure Synapse Analytics for enterprise data warehousing.
• Manage and optimize Cosmos DB solutions.
• Perform data modeling for analytics and reporting.
• Optimize data pipeline performance, scalability, and reliability.
• Ensure high-quality, secure, and efficient data processing.
• Collaborate with cross-functional technical teams on enterprise data initiatives.
• Support modern cloud-based data platform implementation.

Requirements & Qualifications

Education

• Bachelor’s degree in Computer Science, Information Technology, Software Engineering, Data Engineering, or a related field.

Experience

• Strong hands-on experience in Data Engineering and Data Warehousing projects.
• Experience designing and developing scalable ETL/ELT pipelines.
• Experience building enterprise-scale cloud data platforms.
• Proven experience with real-time and batch data processing.
• Strong understanding of modern data architectures.
• Experience optimizing enterprise data pipelines and integrations.

Technical Skills

• Azure Databricks
• PySpark
• Python
• SQL
• Azure Data Factory (ADF)
• Azure Event Hub
• Azure Synapse Analytics
• Cosmos DB
• ETL & ELT Development
• Data Warehousing
• Data Integration
• Data Modeling
• Batch Processing
• Real-Time Streaming
• Cloud Data Engineering
• Enterprise Data Platforms

Preferred Certifications

• Microsoft Certified: Azure Data Engineer Associate
• Microsoft Azure Fundamentals (AZ-900)
• Microsoft Azure Solutions certifications (Preferred)

Salary, Benefits & Career Growth

Benefits

• Opportunity to work on enterprise-scale cloud data platforms.
• Exposure to modern Azure data engineering technologies.
• Collaborative and technically challenging work environment.
• Opportunity to work on large-scale digital transformation initiatives.

Career Growth

This role provides excellent opportunities to strengthen expertise in Azure cloud technologies, enterprise data engineering, modern analytics platforms, and scalable data architecture. Professionals can further enhance their careers through continuous training, technical certification, and hands-on experience with advanced cloud-based data solutions.

Application Process

Application Process (Website)

• Apply only through the official job link.
• Click Apply Now on the website.

HR Email for Application

Send your updated CV directly

Email Subject: Data Engineer