Data Engineer – Azure Cloud Data Platform | UAE

Location

United Arab Emirates

Job Category

• Information Technology (IT) & Software
• Science & Research
• Others / Miscellaneous

Job Overview

An exciting opportunity is available for an experienced Data Engineer to join a leading organization in the United Arab Emirates. This role is ideal for professionals with expertise in Azure cloud data platforms, enterprise data integration, and modern data engineering technologies. The successful candidate will be responsible for building scalable data pipelines, integrating enterprise applications, and delivering reliable data solutions that support business intelligence and analytics initiatives.

As a Data Engineer, you will collaborate with cross-functional teams to design and optimize cloud-based data architectures while ensuring high data quality, security, and performance. This position offers excellent opportunities for professional development, technical upskilling, and long-term career growth in cloud computing, big data engineering, and enterprise analytics.

Key Responsibilities

• Design, develop, and maintain scalable data engineering solutions using Microsoft Azure technologies.
• Build and manage ETL/ELT pipelines for enterprise data integration.
• Develop data processing solutions using Python and PySpark.
• Design and implement data pipelines using Azure Data Factory.
• Develop and optimize solutions using Azure Databricks and Delta Lake.
• Implement and maintain Databricks Medallion Architecture for enterprise data processing.
• Integrate enterprise systems including Microsoft Dynamics 365, Salesforce, Oracle Fusion, SharePoint, REST APIs, SFTP, and relational databases.
• Manage Azure Data Lake Storage Gen2, Azure Synapse Analytics, and Azure Storage Accounts.
• Configure and maintain Self-Hosted Integration Runtime (SHIR).
• Optimize SQL queries and database performance.
• Support data modeling, data warehousing, governance, and performance optimization.
• Collaborate with business and technical teams to deliver secure and scalable data solutions.

Requirements & Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related discipline.
• Proven experience in Data Engineering, Data Integration, and Cloud Data Platforms.
• Strong expertise in:
  • Azure Data Factory (ADF)
  • Azure Databricks
  • Azure Data Lake Storage Gen2
  • Azure Synapse Analytics
  • Azure Storage Accounts
• Hands-on experience with Databricks Medallion Architecture and Delta Lake.
• Strong programming skills in Python and PySpark.
• Experience integrating Microsoft Dynamics 365, Salesforce, Oracle Fusion, SharePoint, REST APIs, SFTP, and database systems.
• Strong knowledge of ETL/ELT frameworks, data modeling, and data warehousing concepts.
• Experience configuring and maintaining Self-Hosted Integration Runtime (SHIR).
• Advanced SQL development and database optimization skills.
• Excellent analytical, problem-solving, communication, and collaboration abilities.
• Microsoft Azure Data Engineering or related cloud certifications are advantageous.
• Commitment to continuous professional development and technical training.

Salary, Benefits & Career Growth

Benefits

• Opportunity to work on enterprise-scale Azure cloud and data engineering projects.
• Exposure to modern cloud technologies, big data platforms, and enterprise integration solutions.
• Collaborative environment with experienced technology professionals.
• Professional development through advanced cloud and data engineering initiatives.
• Opportunities to expand expertise in Azure services, enterprise analytics, and cloud architecture.

Career Growth

• Advance your career in Cloud Data Engineering and Enterprise Analytics.
• Build expertise in Azure cloud technologies and large-scale data platforms.
• Develop advanced skills in big data processing, integration, and cloud architecture.
• Gain experience supporting digital transformation and enterprise data modernization initiatives.

Application Process

Application Process (Website)

Apply only through the official job link.

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HR Email for Application

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