Data Engineering Lead job in Dubai, United Arab Emirates

As the Data Engineering Lead within our Data and Analytics team, your primary responsibility will be to drive the delivery of cutting-edge data and analytics solutions, maintaining Al Futtaim Business’s position as a leader in technical excellence in Data Engineering and Web-based development. This role involves leading a dynamic team, streamlining current processes, and spearheading Azure-based development projects while integrating global best practices.

Your responsibilities will include:
Leading and nurturing a top-performing Data Engineering team, promoting a culture of innovation, productivity, and teamwork.
Leveraging your extensive expertise in Azure Data Platform and other Data Engineering tools to enhance and diversify our data capabilities.
Taking charge of the entire lifecycle of designing, documenting, building, deploying, and testing innovative prototypes that highlight the significance of data.
Supervising creating and integrating Web Apps, Function Apps, and customized user interfaces, ensuring adherence to robust data modeling, quality assurance, governance, and security protocols.
Acting as the primary point of contact for all inquiries related to Data Engineering.

Essential skills for success in this role include:
Hands-on experience building and enhancing Big Data pipelines, architectures, and datasets to optimize efficiency and scalability.
Proficiency in analytical reasoning and adeptness with DevOps methodologies for deploying data pipelines.
Familiarity with Data Virtualization Tools like Denodo, Auto ML Tools like DataRobot and Dataiku, Marketing Tools like Salesforce, and SAP systems (BW/BO/ERP).
Mastery of Azure Data Factory, Databricks, Event Hubs, Python, PySpark, SQL & No-SQL Databases, and other critical Big Data solutions to establish robust and scalable data infrastructure.

My qualifications for this role include:

A Bachelor’s degree in computer science or a related field.
Over 15 years of extensive IT experience, focusing on implementing complex business and transformation projects across diverse domains while effectively leading both internal and external teams.
At least 8 years of hands-on experience constructing and overseeing data pipelines, integrating multiple source systems to meet business requirements.
At least 4 years of dedicated experience designing, developing, and managing web-based data management portals and tools.
A minimum of 3 years of expertise in building and managing real-time event streaming solutions using Kafka.
At least 2 years of experience integrating Recommendation Engines or Segmentations with various customer touchpoints and channels.