Senior Data Engineer – Azure Databricks | Banking & Financial Services | Dubai, UAE

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

Location

Dubai, UAE

Job Category

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

Job Overview

BigTapp is hiring a Senior Data Engineer – Azure Databricks for a client opportunity in Dubai. The position is focused on designing, building, and optimizing scalable data pipelines and cloud-based data platforms using Microsoft Azure technologies, with strong emphasis on Azure Databricks and Azure Data Factory.

The successful candidate will work within Banking, Financial Services, or Wealth Management environments and apply expertise in data engineering, SQL, Python, Azure Data Lake, and cloud data platforms. Strong banking domain experience is mandatory for this position.

This role offers opportunities for career growth and professional development through advanced work in cloud data engineering, data platform architecture, scalable pipelines, and financial-services data environments. Specific training, certification support, and employee benefits have not been provided by the employer.

Key Responsibilities

• Design, develop, and optimize scalable data pipelines.
• Build and maintain cloud-based data platforms using Azure technologies.
• Develop data engineering solutions using Azure Databricks and Azure Data Factory.
• Work with SQL, Python, and Azure Data Lake technologies.
• Develop reliable and scalable data processing workflows.
• Optimize data pipelines and platform performance.
• Support data engineering initiatives within Banking, Financial Services, or Wealth Management environments.
• Troubleshoot complex data engineering and technical issues.
• Collaborate with stakeholders to understand requirements and deliver effective data solutions.
• Apply best practices for scalable, secure, and maintainable data platforms.

Requirements & Qualifications

• 7+ years of experience in Data Engineering and cloud-based data platforms.
• Strong hands-on experience with:
  • Azure Data Factory (ADF)
  • Azure Databricks
  • SQL
  • Python
  • Azure Data Lake technologies
• Proven experience within Banking, Financial Services, or Wealth Management.
• Strong Banking domain experience is mandatory.
• Experience designing, building, and optimizing scalable data pipelines and platforms.
• Strong problem-solving skills.
• Strong stakeholder management and communication capabilities.
• Immediate joiners are preferred.
• Candidates from other geographies are welcome to apply.

Salary, Benefits & Career Growth

Specific salary and employee benefits have not been provided by the employer and therefore are not stated.

The position provides an opportunity for career growth and professional development in cloud data engineering, Azure Databricks, data platform architecture, and financial-services technology. Relevant Microsoft Azure and data engineering certifications may support continued professional development, although employer-sponsored certification or training support has not been specified.

Application Process

Application Process (Website):

No official job application website link was provided.