Senior Data Engineer: Azure Databricks for Banking (Dubai)

Claids; United Arab Emirates; On-site; AED 260,000 - 380,000; Full time

Job summary

BigTapp is seeking a Senior Data Engineer – Azure Databricks for a client opportunity in Dubai. The role focuses on designing, building, and optimizing scalable data pipelines and cloud data platforms using Microsoft Azure technologies, with emphasis on Azure Databricks and Azure Data Factory.

Banking, Financial Services, or Wealth Management experience is mandatory. Strong SQL and Python skills, Azure Data Lake expertise, and the ability to work in a banking domain environment are essential.

Qualifications

• 7+ years of experience in data engineering and cloud data platforms.
• Hands-on with Azure Data Factory, Azure Databricks, SQL, Python, and Azure Data Lake.
• Experience in Banking, Financial Services, or Wealth Management.
• Strong banking domain experience is mandatory.
• Ability to design and optimize scalable data pipelines and platforms.
• Strong problem-solving and stakeholder communication skills.
• Immediate joiners are preferred; open to applicants from other regions.

Responsibilities

• Design, develop, and optimize scalable data pipelines.
• Build and maintain cloud data platforms using Azure technologies.
• Develop data solutions with Azure Databricks and Azure Data Factory.
• Work with SQL, Python, and Azure Data Lake.
• Ensure reliable, scalable data processing workflows.
• Collaborate with stakeholders to gather requirements.
• Apply best practices for secure and maintainable data platforms.
• Troubleshoot complex data engineering issues.

Skills

Data engineering

Cloud platforms

Stakeholder mgmt

Python scripting

SQL proficiency

Tools

Azure Data Factory

Azure Databricks

SQL

Python

Azure Data Lake

Job description

BigTapp is seeking a Senior Data Engineer – Azure Databricks for a client opportunity in Dubai. The role focuses on designing, building, and optimizing scalable data pipelines and cloud data platforms using Microsoft Azure technologies, with emphasis on Azure Databricks and Azure Data Factory.

Banking, Financial Services, or Wealth Management experience is mandatory. Strong SQL and Python skills, Azure Data Lake expertise, and the ability to work in a banking domain environment are essential.