Data Engineer

JOB TITLE

Data Engineer | MAF Properties | Technology & Transformation

Role Summary

Majid Al Futtaim Asset Management is modernizing its retail operations through advanced Data & AI capabilities. To support this, it is hiring a Data Engineer skilled in SQL, Python, Spark, and API integrations to build scalable data pipelines and enable data-driven decision-making across the business.

ROLE PROFILE

• Design, build, and maintain scalable ETL pipelines using Python, SQL, and Apache Spark for large-scale data processing.
• Integrate diverse data sources and third-party APIs to enable real-time and batch data ingestion.
• Ensure data quality, governance, and reliability across all pipelines and systems.
• Collaborate with cross-functional teams to translate business needs into technical data solutions.
• Monitor, optimize, and troubleshoot data workflows to maintain high performance and availability.
• Manage cloud-based data infrastructure (Azure/AWS/GCP), ensuring security, compliance, and efficient resource use.
• Support a broad operational scope covering 29 malls, 7 hotels, and multiple digital platforms across 5 countries.
• Contribute to continuous innovation by adopting emerging technologies and enabling high-impact use cases valued at over AED 1.3B in revenue uplift.
  
  

• Education: Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field; Azure/Spark/Python/data-modeling certifications are an added advantage.
• Experience: 5–8 years in data engineering or a closely related discipline.
• Strong SQL expertise for advanced data manipulation, optimization, and performance tuning.
• Proficient in Python for data engineering, automation, and scripting, with hands-on experience using Apache Spark/PySpark for large-scale distributed processing.
• Skilled in API integrations (REST/SOAP), data ingestion from diverse sources, and familiar with Git, CI/CD, Agile, and data modeling/warehousing concepts.
• Experienced with Azure Databricks for building, optimizing, and managing scalable cloud-based data pipelines and analytics workflows.