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

AlFuttaim; Dubai; On-site; AED 312,480 - 424,080; Full time

Benefits offered by this job

Contribute to digital transformation initiatives

Collaborate with experienced specialists

Develop a rewarding career in data and analytics

Job summary

AlFuttaim in Dubai is seeking a Senior Data Engineer - Azure Data Platform to transform enterprise data sources into scalable analytics datasets. This role involves designing modern data pipelines, integrating SAP and non-SAP systems into the Azure data ecosystem, and supporting analytics initiatives.

The ideal candidate has extensive experience with Azure technologies and data engineering principles. Join a transformative organization committed to data-driven decision making across various real estate projects.

Qualifications

• 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.

Responsibilities

• 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.

Skills

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

Education

Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or related fields

Tools

Azure Data Factory

Databricks

Azure Event Hubs

Job description

Position Overview

Senior Data Engineer - Azure Data Platform and Analytics at Majid Al Futtaim in Dubai, UAE is responsible for transforming complex enterprise data sources into scalable and reliable analytics datasets that power business intelligence and strategic decision making. The role focuses on building modern data pipelines, integrating SAP and non‑SAP systems into the Azure data ecosystem, and supporting advanced analytics initiatives across the organization's real estate operations.

Job Details

Country: UAE
City: Dubai
Industry: Real Estate
Function: Systems Development/Programming
Salary: 28000-38000 monthly (Market estimated)
Gender: Any
Candidate Nationality: Any
Job Type: Full‑time

Key Responsibilities

• 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.

Ideal Profile

• 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.

Skills Set

• 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

Why Join Us

• 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.

About the Company

Majid Al Futtaim Group Real Estate is the real estate development and operations division of the Al Futtaim Group, responsible for a multi‑billion‑dollar property portfolio across the Middle East and North Africa. The company develops and manages large‑scale residential, retail, commercial, tourism, education, and healthcare destinations while shaping sustainable urban communities. Flagship developments such as Dubai Festival City and Cairo Festival City demonstrate the group's commitment to innovative mixed‑use destinations that enhance the quality of life for residents, businesses, and visitors across the region.