Azure Data Engineer | Azure Data Factory & Databricks | 7–10 Years | UAE

Location

United Arab Emirates - Local Candidates Only

Job Category

• Information Technology (IT) & Software
• Science & Research
• Banking & Insurance
• Engineering & Technical

Job Overview

An Azure Data Engineer opportunity is available in the UAE for an experienced data engineering professional with 7-10 years of relevant experience. The role focuses on designing, developing, and maintaining scalable cloud data pipelines and data solutions using Microsoft Azure technologies.

The successful candidate will work extensively with Azure Data Factory, Azure Databricks, SQL, Python, ETL processes, data ingestion, transformation, and pipeline optimization. Banking domain experience is preferred. The role provides opportunities for professional development, cloud data engineering training, certification, and long-term career growth in data and cloud technologies.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines on Azure.
• Develop ETL and data ingestion processes using Azure Data Factory.
• Build and manage data engineering solutions using Azure Databricks.
• Perform data transformation and processing using SQL and Python.
• Optimize data pipelines for performance, reliability, and scalability.
• Troubleshoot data pipeline and cloud data engineering issues.
• Support data integration and ingestion from multiple sources.
• Maintain data quality and consistency across data pipelines.
• Use Git and code repositories for version control and collaborative development.
• Monitor and improve cloud data engineering workflows.
• Collaborate with data, technology, and business teams to deliver data solutions.

Requirements & Qualifications

• 7-10 years of relevant data engineering experience.
• Strong experience with Azure Data Factory (ADF).
• Hands-on experience with Azure Databricks.
• Strong SQL and Python skills.
• Experience with ETL, data ingestion, and data transformation.
• Experience optimizing and troubleshooting data pipelines.
• Strong understanding of cloud data engineering concepts.
• Experience with Git and code repositories.
• Banking domain experience is preferred.
• Strong analytical, problem-solving, and communication skills.
• Candidates must be currently based in the UAE.

Salary, Benefits & Career Growth

Salary and compensation details were not provided by the employer and therefore are not listed.

The position offers opportunities for:

• Professional development in Azure cloud data engineering.
• Training and certification in Microsoft Azure technologies.
• Advanced experience with Azure Data Factory and Databricks.
• Development of SQL, Python, ETL, and data pipeline expertise.
• Exposure to banking data environments.
• Career progression in cloud data engineering and data architecture.