Senior Data Engineer – PySpark & Cloudera Data Platform (CDP) | Dubai, UAE

Location

Dubai, United Arab Emirates (UAE) – On-site/Hybrid

Job Category

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

Job Overview

An exciting opportunity is available for a Senior Data Engineer in Dubai, UAE. This full-time senior-level role is ideal for professionals with strong expertise in PySpark, Python, and Cloudera Data Platform (CDP) who are passionate about building enterprise-scale data engineering solutions for digital products and transaction banking initiatives.

The successful candidate will design, develop, and optimize large-scale data pipelines within modern big data environments. Working with distributed data processing technologies and cloud-native platforms, the role focuses on delivering scalable, secure, and high-performance data solutions that support business intelligence, analytics, and machine learning initiatives across enterprise banking environments.

This position offers excellent career growth for professionals seeking to advance their expertise in enterprise data engineering, big data technologies, and cloud-native architectures. Candidates committed to continuous professional development, technical training, and industry-recognized certification will have opportunities to work on innovative enterprise transformation projects.

Key Responsibilities

• Design, develop, and maintain scalable enterprise data pipelines.
• Build and optimize distributed data processing solutions using PySpark.
• Develop robust data engineering solutions using Python.
• Implement enterprise data solutions on Cloudera Data Platform (CDP).
• Ensure data quality, consistency, and governance across data platforms.
• Optimize data pipeline performance, scalability, and reliability.
• Develop secure and high-performance data processing workflows.
• Support business intelligence, analytics, and machine learning initiatives.
• Collaborate with Data Architects, Data Scientists, Analytics teams, and Product Owners.
• Work closely with business stakeholders to deliver enterprise data solutions.
• Implement modern data engineering best practices.
• Prepare technical documentation and support production deployments.
• Troubleshoot and resolve enterprise data platform issues.

Requirements & Qualifications

Education

• Bachelor’s degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related field.

Experience

• Strong experience as a Senior Data Engineer.
• Extensive expertise in PySpark and Python.
• Hands-on experience with Cloudera Data Platform (CDP).
• Experience designing and developing enterprise-scale data pipelines.
• Strong understanding of distributed data processing.
• Experience with cloud-native data platforms.
• Knowledge of enterprise data quality and governance practices.
• Experience supporting business intelligence and analytics solutions.
• Experience working on enterprise-scale digital products and transaction banking initiatives is preferred.

Technical Skills

• PySpark
• Python
• Cloudera Data Platform (CDP)
• Big Data Technologies
• Data Engineering
• Data Pipelines
• Distributed Data Processing
• Cloud-Native Data Platforms
• Data Quality
• Data Governance
• Business Intelligence
• Data Analytics
• Machine Learning Data Pipelines
• Performance Optimization
• Enterprise Data Architecture

Preferred Certifications

• Cloudera Data Platform (CDP) Certification
• Databricks Certified Data Engineer (Preferred)
• Apache Spark Certification
• Cloud Platform Certifications (AWS, Azure, or Google Cloud)
• Relevant Data Engineering Certifications

Salary, Benefits & Career Growth

Benefits

• Opportunity to work on enterprise-scale digital products and transaction banking projects.
• Exposure to modern big data and cloud-native technologies.
• Collaborative environment with Data Architects, Data Scientists, and Analytics teams.
• Opportunity to contribute to enterprise digital transformation initiatives.
• Flexible On-site/Hybrid working environment.

Career Growth

This role provides excellent opportunities to advance into senior data engineering, big data architecture, cloud engineering, and enterprise analytics leadership roles. Continuous training, professional development, and technical certification programs will support long-term career progression in enterprise data engineering.

Application Process

Application Process (Website)

• Apply only through the official job link.
• Click Apply Now on the website.

HR Email for Application

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