Manager Data Engineering - Majid Al Futtaim Retail Digital Corporate Head Office - Dubai, UAE
Summary
Leads data engineering for a large retail group, building scalable data warehouses, ETL pipelines, and Power BI dashboards to turn raw data into actionable business insights.
Position Overview
The Manager Data Engineering role in Dubai leads the design and delivery of next‑generation business intelligence and data platforms for Majid Al Futtaim Retail, enabling scalable analytics, high‑quality insights and enterprise‑grade data solutions that support strategic decision‑making across the organization.
Job Details
- Country: UAE
- City: Dubai
- Industry: Retail
- Function: Systems Development / Programming
- Salary: 32,000–45,000 monthly (Market estimated)
- Gender: Any
- Candidate Nationality: Any
- Job Type: Full‑time
Role Summary
The Manager Data Engineering is responsible for shaping and executing the data engineering strategy, building robust data warehouses and pipelines, and delivering reliable analytics and Power BI solutions that transform complex datasets into actionable business insights for stakeholders at all levels.
Key Responsibilities
- Lead data engineering initiatives for business intelligence, analytics and reporting, improving performance and scalability of existing use cases.
- Translate business requirements into data models that convert raw data into meaningful insights.
- Design, build and maintain scalable data warehouse architecture, data lakes and data lineage systems.
- Develop and optimise ETL pipelines using SQL and big data technologies to ingest data from diverse sources.
- Identify and implement process improvements through automation, optimised data delivery and scalable infrastructure redesign.
- Own end‑to‑end ETL processes, including data acquisition, cleaning, transformation, validation and monitoring.
- Ensure continuous data quality through validation checks, logging, auditing and error‑handling mechanisms.
- Design, develop, test and deploy scalable Power BI dashboards and real‑time data pipelines.
- Build SSIS packages with reprocess logic to enable historical data reloads when required.
- Automate financial and operations reporting using T‑SQL stored procedures, functions, triggers and indexing strategies.
- Perform advanced data quality analysis across staging, data warehouse and data mart layers.
- Develop C# scripts within SSIS to automate data engineering tasks.
- Deliver ad‑hoc BI analysis and present recommendations to senior management on strategic initiatives.
- Coordinate with stakeholders, ensuring regular communication and alignment on insights, progress and outcomes.
Ideal Profile
- Minimum 8 years of professional experience in data engineering.
- At least 6 years in business intelligence, data engineering or related roles within an international environment.
- Retail industry experience is preferred.
- Strong expertise in SQL, T‑SQL, data warehousing, ETL design and SSIS.
- Proven experience delivering enterprise‑scale BI solutions and Power BI dashboards.
- Analytical, proactive and results‑driven with the ability to lead complex initiatives and collaborate across functions.
Why Join Us
- Lead enterprise data platforms within one of the region’s largest retail organisations.
- Work on complex, high‑impact data environments with modern BI and analytics tools.
- Collaborate with senior stakeholders on strategic, data‑driven decisions.
- Access long‑term growth opportunities within Majid Al Futtaim Retail.