Senior Data Engineer - Azure Data Platform and Analytics - Majid Al Futtaim - Dubai, UAE

• Design and implement scalable data engineering solutions that convert raw enterprise data into structured analytical datasets.
• Develop rapid prototypes to demonstrate the value of data solutions to business stakeholders.
• Translate business requirements into technical and functional specification documents for engineering teams.
• Build and maintain scalable data pipelines capable of processing large data volumes from SAP and non-SAP systems.
• Integrate new data streams into the Azure Data platform while ensuring reliability, accessibility, and performance.
• Support reporting and analytics initiatives by enabling developers using tools such as Power BI, Alteryx, and Azure services.
• Optimize data processing workflows to improve performance, scalability, and maintainability.
• Collaborate with analytics, engineering, and business teams to deliver high quality data solutions.
• Support the deployment and automation of data pipelines using Azure DevOps and continuous integration processes.
• Assist in transitioning prototype data solutions into production-grade enterprise analytics platforms.

• Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or related fields.
• Minimum 10 years of experience in data engineering and enterprise data platform development.
• Advanced expertise in Azure Data Factory, Databricks, Azure Event Hubs, and related cloud technologies.
• Strong experience designing and managing large-scale data pipelines and big data architectures.
• Proficiency in Python, PySpark, SQL, and both relational and non-relational databases.
• Hands-on experience integrating multiple enterprise systems including SAP and external data sources.
• Experience deploying data pipelines and automation using Azure DevOps and CI/CD practices.
• Strong analytical and problem-solving capabilities when working with structured and unstructured data.
• Ability to collaborate effectively in agile and cross-functional project environments.

• Azure data engineering and cloud analytics platforms
• Data pipeline architecture and development
• Big data processing and distributed data systems
• Python, PySpark, and SQL programming
• Data integration across enterprise systems
• Azure DevOps and CI/CD pipeline deployment
• Business intelligence and analytics enablement
• Data platform optimization and performance tuning

• Work with a leading regional organization transforming data into business value through advanced analytics platforms.
• Contribute to large-scale digital transformation initiatives across real estate and mixed-use developments.
• Collaborate with experienced data engineers, analysts, and technology specialists in a high-impact environment.
• Build innovative data infrastructure that supports strategic decision making and enterprise intelligence.
• Develop a rewarding career within a progressive organization investing heavily in data and analytics capabilities.

• Design and implement scalable data engineering solutions that convert raw enterprise data into structured analytical datasets.
• Develop rapid prototypes to demonstrate the value of data solutions to business stakeholders.
• Translate business requirements into technical and functional specification documents for engineering teams.
• Build and maintain scalable data pipelines capable of processing large data volumes from SAP and non-SAP systems.
• Integrate new data streams into the Azure Data platform while ensuring reliability, accessibility, and performance.
• Support reporting and analytics initiatives by enabling developers using tools such as Power BI, Alteryx, and Azure services.
• Optimize data processing workflows to improve performance, scalability, and maintainability.
• Collaborate with analytics, engineering, and business teams to deliver high quality data solutions.
• Support the deployment and automation of data pipelines using Azure DevOps and continuous integration processes.
• Assist in transitioning prototype data solutions into production-grade enterprise analytics platforms.

• Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or related fields.
• Minimum 10 years of experience in data engineering and enterprise data platform development.
• Advanced expertise in Azure Data Factory, Databricks, Azure Event Hubs, and related cloud technologies.
• Strong experience designing and managing large-scale data pipelines and big data architectures.
• Proficiency in Python, PySpark, SQL, and both relational and non-relational databases.
• Hands-on experience integrating multiple enterprise systems including SAP and external data sources.
• Experience deploying data pipelines and automation using Azure DevOps and CI/CD practices.
• Strong analytical and problem-solving capabilities when working with structured and unstructured data.
• Ability to collaborate effectively in agile and cross-functional project environments.

• Azure data engineering and cloud analytics platforms
• Data pipeline architecture and development
• Big data processing and distributed data systems
• Python, PySpark, and SQL programming
• Data integration across enterprise systems
• Azure DevOps and CI/CD pipeline deployment
• Business intelligence and analytics enablement
• Data platform optimization and performance tuning

• Work with a leading regional organization transforming data into business value through advanced analytics platforms.
• Contribute to large-scale digital transformation initiatives across real estate and mixed-use developments.
• Collaborate with experienced data engineers, analysts, and technology specialists in a high-impact environment.
• Build innovative data infrastructure that supports strategic decision making and enterprise intelligence.
• Develop a rewarding career within a progressive organization investing heavily in data and analytics capabilities.

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