Data Engineer

MAJID AL FUTTAIM; Dubai; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading retail group in Dubai is seeking a Data Engineer skilled in SQL and Python to modernize its operations. This role focuses on designing scalable ETL pipelines and managing cloud-based data infrastructure. Candidates should have 5-8 years of experience in data engineering and expertise in Apache Spark and API integrations. The position offers the opportunity to work on diverse projects across multiple countries, ensuring data quality and supporting decision-making processes within the business.

Qualifications

• 5–8 years of experience in data engineering or closely related discipline.
• Strong SQL expertise for advanced data manipulation and performance tuning.
• Proficient in Python with hands-on experience using Apache Spark.

Responsibilities

• Design, build, and maintain scalable ETL pipelines using Python and SQL.
• Integrate diverse data sources and third-party APIs for data ingestion.
• Monitor, optimize, and troubleshoot data workflows for high performance.

Skills

SQL expertise

Python proficiency

Apache Spark

API integrations

Data quality management

Cloud-based data infrastructure

Education

Bachelor’s degree in Computer Science or related field

Certifications in Azure/Spark/Python

Tools

Azure Databricks

Git

CI/CD

Job description

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.

REQUIREMENTS

• 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.