Edoxi’s 32-hour Microsoft-certified DP-203 Data Engineering on Microsoft Azure training in Dubai equips data professionals with essential skills for cloud data engineering workloads. This intermediate course offers in-depth training on Azure data platforms for data architects and BI specialists. The DP-203 Data Engineering on Microsoft Azure training includes extensive hands-on lab exercises using Azure Data Lake Storage, Synapse Analytics, and Databricks, allowing participants to engage with real-world scenarios. The DP-203 trains learners to manage data pipelines, real-time streaming, security, lineage, and performance on Azure.
Our Data Engineering on Microsoft Azure course curriculum covers the design and implementation of data storage solutions. It also focuses on developing batch and stream data processing workflows. The course addresses securing, monitoring, and optimising data solutions for performance and reliability. Key topics include Azure Data Lake Storage Gen2, Azure Synapse Analytics, Microsoft Purview, Azure Data Factory, Apache Spark, Azure Event Hubs, and Stream Analytics.
Although the DP-203 certification and exam have been retired, our DP-203 training course remains available and continues to deliver strong foundational and practical skills in cloud-based data engineering. Microsoft has introduced DP-700: Implementing Data Engineering Solutions Using Microsoft Fabric as the successor certification, aligned with the Microsoft Fabric Data Engineer Associate role.
Upon completing the DP-203 Data Engineering on Microsoft Azure course, you will receive Edoxi’s course completion certificate. This credential validates your ability to design, implement, secure, and optimise modern data engineering solutions using Azure technologies.
Enrol now to build practical Azure data engineering skills and advance your career in Dubai’s growing data and cloud technology ecosystem.
Engage in expert-led discussions covering architectural decisions, best practices, and real-world implementation challenges in Azure.
Access fully-configured Azure environments for practical implementation of data engineering concepts and real-world scenarios.
Practice implementing RBAC, ACLs, and dynamic data masking to secure Azure data assets according to industry standards.
Master techniques for optimising Synapse queries and troubleshooting Spark jobs through dedicated performance-focused lab sessions.
Experienced data professionals and architects seeking to expand their expertise into cloud-based data engineering with Microsoft Azure technologies.
BI specialists looking to enhance their skill set with cloud data platform capabilities to build more sophisticated analytical solutions.
Technical professionals with cloud experience wanting to specialise in data engineering workloads and pipelines on Azure.
Individuals with fundamental SQL and Python skills ready to apply their knowledge to enterprise-scale data solutions in the cloud.
IT specialists transitioning from on-premises data systems to cloud-based architectures, seeking career advancement.
Analytics professionals and data scientists who work with or build analytical solutions on Microsoft Azure platforms.
Our DP-203 Data Engineering on Microsoft Azure course blends expert-led sessions with hands-on projects based on real-world scenarios. Key projects include:
Design and implement Azure Data Lake Storage Gen2 with appropriate folder hierarchy and access integration for analytical workloads.
Apply time-based and category-based partitioning to optimise query performance and manage data lifecycle across storage tiers.
Configure Microsoft Purview to automatically catalogue data sources, establish lineage, and implement classification for governance requirements.
Develop Azure Data Factory pipelines to extract data from multiple sources with appropriate transformation and loading patterns.
Implement Event Hubs and Stream Analytics to process continuous data streams with windowing functions and analytical outputs.
Configure role-based security, access control lists, and column-level masking to protect sensitive data across the platform.
By completing the DP-203 Data Engineering on Microsoft Azure training in Dubai, you will gain practical skills to design, build, and manage secure, scalable data solutions on Azure. The key outcomes include:
Get expert assistance in getting you DP-203 Data Engineering on Microsoft Azure Course customised!
Here’s a four-step guide to becoming a certified DP-203 Data Engineering on Microsoft Azure Certification professional.
Join Edoxi’s DP-203 Data Engineering on Microsoft Azure Course
Among the many options available, Edoxi is the best choice. Here’s why Edoxi’s DP-203 Data Engineering on Microsoft Azure training is the perfect fit for your needs:
Edoxi maintains official Microsoft Learning Partner status with direct access to the latest Azure data engineering curriculum and certification paths.
Our instructors hold active Microsoft certifications and have implemented enterprise data solutions across major UAE industries and organisations.
We have successfully delivered customised Azure data engineering training to technical teams from leading financial institutions and government entities.
Our limited batch sizes and low student-to-trainer ratio ensure individualised attention, addressing each participant's specific learning challenges.
The DP-203 course integrates with our broader Azure certification offerings to build comprehensive cloud data engineering capabilities for professionals.
Edoxi has its presence across GCC, including the UAE, Saudi Arabia, and Europe, and is growing in European markets.
Our mentors are leaders and experts in their fields. They can challenge and guide you on your road to success!
Manish Rajpal
Manish is a passionate Corporate Trainer, AI Consultant, and Cloud Solutions Architect. He empowers clients across the globe to build and maintain highly available, resilient, scalable, and secure solutions, now with a growing emphasis on AI-powered architectures. With over 15,000 professionals trained, Manish specialises in technologies including Amazon Web Services, Microsoft Azure, Microsoft Copilot and GitHub Copilot and increasingly, AI and Machine Learning.
Manish has led research and workshops focused on integrating AI into cloud environments, exploring use cases like intelligent automation, natural language processing, and responsible AI practices.
DP-203–Level Data Engineers in Dubai can expect competitive salaries. Mid-level professionals typically earn between USD 50,000 and 80,000 annually. Senior engineers with advanced cloud and AI/ML skills may earn USD 90,000–120,000 or more, reflecting strong market demand for cloud data expertise.
