Azure Data Engineer - Banking - Dubai UAE

DiceTek UAE; Dubai; On-site; AED 245,520 - 357,120; Full time

Benefits offered by this job

Competitive package

Certification support

Clear growth path

Job summary

DiceTek UAE is looking for an experienced Azure Data Engineer to build data platforms for banking clients in Dubai. The role involves designing ETL pipelines, implementing medallion architecture, and working with Azure services such as Databricks. Ideal candidates should have over 10 years of experience in data engineering, especially with banking data.

The position offers a competitive salary, certification support, and a collaborative work culture, with opportunities to work on enterprise-scale projects.

Qualifications

• 10+ years in data engineering with hands-on ETL pipeline delivery.
• 10+ years working with banking data and domain processes.
• Strong data mapping and profiling expertise.
• Proficiency in Java or Scala is a plus.

Responsibilities

• Design and implement medallion architecture with bronze, silver, and gold layers.
• Develop secure, scalable ETL and ELT pipelines using Python and SQL.
• Engineer data ingestion from core banking and third-party sources.
• Build Delta Lake tables and optimize performance on Azure.

Skills

Data Engineering

ETL Pipeline Delivery

Advanced Python

SQL

Azure Services

Data Modeling

Education

Certification in Azure data technologies

Tools

Databricks

Data Integration Tools

Job description

Azure Data Engineer – Banking – Dubai, UAE

Industry: Staffing and Recruiting | Function: IT-Software Development

Location: Dubai, UAE

Salary: 22000‑32000 monthly (Market estimated)

Job Type: Full‑time | Gender: Any | Nationality: Any | Preferred Location: Any

Position Overview

The Azure Data Engineer will build enterprise‑grade data platforms for banking clients in Dubai, designing medallion architecture, robust ETL pipelines, and analytics‑ready datasets using Azure services and Databricks.

Key Responsibilities

• Design and implement medallion architecture with bronze, silver, and gold layers
• Develop secure, scalable ETL and ELT pipelines using Python and SQL
• Engineer data ingestion from core banking and third‑party sources with quality checks
• Build Delta Lake tables, optimize performance, and manage cost on Azure
• Define data models, star schemas, and marts for BI and AI workloads
• Perform data mapping, profiling, lineage, and reconciliation across systems
• Implement CI‑CD for notebooks and jobs; automate testing and deployments
• Enforce data governance, cataloging, and privacy controls aligned to standards
• Monitor pipelines, troubleshoot failures, and tune jobs for reliability and SLAs
• Deliver documentation, runbooks, and knowledge transfer to operations

Candidate Requirements

• 10+ years in data engineering with hands‑on ETL pipeline delivery
• 10+ years working with banking data and domain processes
• Strong data mapping and data profiling expertise
• Advanced Python and SQL for data processing and validation
• Proven delivery of end‑to‑end data warehouse or data platform projects
• Certification in Azure data lake or data warehouse technologies
• Proficiency in one or more of Java or Scala is a plus
• Extensive experience with Microsoft Azure services for storage, compute, security
• Hands‑on with Databricks for big data processing, ML, and advanced analytics
• Deep knowledge of data modeling, database design, and warehousing concepts
• Familiarity with data integration tools and streaming or batch ingestion
• Knowledge of data governance and data quality best practices

What We Offer

• Enterprise‑scale Azure and Databricks projects in the banking sector
• Competitive package, certification support, and clear growth path
• Collaborative, delivery‑focused culture with regional client exposure

About the Company

DicetekLLC is a GCC‑based technology consulting and staffing partner delivering project‑based and managed services for leading enterprises, with strong capability in data engineering, cloud, and digital transformation.