Majid Al Futtaim Holding is the leading shopping mall, retail, communities, entertainment developer and operator in the Middle East, North Africa, and Central Asia regions. With over 43,000 people, revenues of over US$ 11 Billion, and operations in 18 countries. Some of the iconic brands we carry include Mall of the Emirates, Carrefour, All Saints, Lego, City Center, Abercrombie & Fitch, & Vox Cinemas. We believe in making Great Moments for Everyone, Every day.

Job Title

Manager - Data Engineering | MAF Retail | UAE Digital Corporate Head Office

The Manager - Data Engineering is responsible for steering and building the NextGen Business Intelligence & Data Strategy, Data Virtualization, and Data Lakes Warehousing, through researching and experimenting with emerging data technologies and industry trends with a view to bringing business value through early adoption. The role holder is also responsible for developing and defining key business questions, support analysis, improvement and creation of key metrics and dashboards for the learning organization to provide effective solutions to be shared with internal customers at all levels of the organization, supporting in drafting strategic documents for the senior stakeholders.

He/she will be responsible for the technical implementation of high-quality, enterprise-grade solutions and be in one of the largest and most complex data warehouse environments, which requires deep expertise in the design, creation, management, and business use of large datasets, as well as designing, implementing, and operating stable, scalable, low-cost solutions to flow data from production systems into the data warehouse and into end-user facing applications (Power BI). The Data Engineer's technical skills and creativity will prove instrumental in creating custom data pipeline solutions, where existing tools prove insufficient.

Responsibilities:

Data Engineering for Business Intelligence & Data Analysis & Reporting

Transform and improve performance of existing reporting & analytics use cases with more efficient and state of the art data engineering solutions
Contribute to business analysis of the OLTP and OLAP data and in decision support with extensive database programming
Understand business requirements in BI context and design data models to transform raw data into meaningful insights

Data Warehouse Architecture & Tools

Build and maintain a scalable data lineage system to improve data infrastructure reliability and efficiency
Build the infrastructure required for optimal ETL of data from a wide variety of data sources using SQL and big data technologies
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
Identify opportunities for data acquisition and build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
Ensure the architecture will support all the business needs to drive actionable insights

Data Pipeline ETLs & Monitoring:

Own end-to-end ETL process to build data pipelines, from planning to collection to analysis, including writing custom queries, data cleaning and manipulation, and the ability to work with large datasets
Acquire data from primary or secondary data sources and maintain databases / data systems and in charge of ensuring consistent data quality on a continuous basis
Create and maintain optimal data pipeline architecture, assemble large, complex data sets that meet functional / non-functional business requirements
Design, develop, test, and deploy scalable Power BI dashboards and develop real-time database solutions and pipeline to Power BI Dashboard
Design ETL using SSIS Packages to reprocess any date data at any time using Reprocess Logic

Automation of Financial & Operations Reporting

Write T-SQL Stored procedures for performing automation tasks, Performed and fine-tuned Stored Procedures and SQL Queries and User Defined Functions, and for Triggers, Constraints, and Indexes using various DDL and DML commands
Maintain the Log and Audit information in SQL tables, experienced in providing Logging, Error Handling by using Event Handler for SSIS Packages
Develop SQL queries /scripts to validate the data such as checking duplicates, null values, truncated values and ensuring correct data aggregations
Perform data quality analysis using advanced SQL skills as well as Count Validation, Dimensional Analysis, Statistical Analysis and Data Quality Validation in Data Migration. Extensive SQL querying on Staging, Data warehouse and Data Mart
Develop C# scripts in SSIS and automating tasks using C#

Coordination and Communication

Ensure regular information exchange with all relevant stakeholders and update them on the acquired knowledge from the business intelligence analysis
Build relationships and maintain strong partnerships with key personnel to help achieve organisational goals

Audit and Reporting

Perform ad-hoc BI analysis reports, proposing and presenting recommendations to senior management on strategic decisions, and planned future initiatives

Minimum experience:

8+ years of professional experience in data engineering
6+ years in Business Intelligence Engineer, Business Analyst, Data Engineer, or similar roles in an international environment
2+ years in the retail business is preferred

What We Offer

At Majid Al Futtaim, we're on a mission to create great moments, to spread happiness, to build, experiences that stay in our memories for a lifetime. We're proud to say that over the past 27 years, we have built a reputation as a regional market leader in what we do. Join us!
Work in a friendly environment, where everyone shares positive vibes and excited about our future.
Work with over 43,000 diverse and talented colleagues, all guided by our Leadership Model.