Senior Data Engineer | Corporate Services | Group Tech &Dig Platforms

Senior Data Engineer | Corporate Services | Group Tech & Dig Platforms

Al-Futtaim Automotive

Job Requisition : 174070

Established in the 1930s as a trading business, Al‑Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United Arab Emirates. Structured into five operating divisions – automotive, financial services, real estate, retail, and healthcare – it employs more than 35,000 people across more than 20 countries in the Middle East, Asia, and Africa.

Al‑Futtaim Group partners with over 200 of the world’s most admired and innovative brands. The group’s entrepreneurship and relentless customer focus enable the organization to continue to grow and expand, responding to the changing needs of our customers within the societies in which we operate.

By upholding our values of respect, excellence, collaboration, and integrity, Al‑Futtaim Group continues to enrich the lives and aspirations of our customers each and every day.

As a Senior Data Engineer in the Data and Analytics team, you will convert complex data landscapes into actionable business insights. You will evaluate diverse data sources from both SAP and non‑SAP systems and convert these into business‑ready datasets. Your role will be crucial in the development and support of integrating these data streams into our Azure Data platform, ensuring the data supports our business intelligence and analytics goals.

• Design, document, develop, implement, and test rapid prototypes to showcase data value for extended business audiences.
• Engage in early‑stage design discussions and feature definition activities to shape future projects.
• Convert business requirements into Technical Specification Documents (TSDs) and Functional Specification Documents (FSDs).

• Build and manage reusable and scalable data pipelines, optimizing data flows for efficiency and effectiveness.
• Assist with regular reporting queries and support developers using tools such as Alteryx, Power BI, and Azure.
• Develop and support integration of new data streams into the Azure Data platform, ensuring accessibility, reliability, and structure.

• Act as a team player, facilitating collaboration and knowledge sharing across engineering teams.
• Support integration of proven prototypes into core intelligence products, enhancing project delivery.
• Adapt to agile and waterfall methodologies, guiding teams through dynamic project environments for timely deliveries.

• Expertise in Azure Data Factory, Databricks, and Azure Event Hubs.
• Proven experience in constructing and refining Big Data pipelines, architectures, and datasets.
• Strong analytical abilities for deriving insights from unstructured datasets.
• Experience with Azure Dev Ops for deploying ADF pipelines, ensuring continuous integration and delivery.

• 10+ years of experience in data engineering, specifically within Azure and Databricks environments.
• Bachelor’s or Master’s degree in Data Management, Information Systems, Business, Computer Science, or related fields.
• Certifications in Azure Data Fundamentals and Databricks are preferred.
• Robust knowledge and experience with both relational and non‑relational databases, and expertise in Python, PySpark, and SQL.

This role reports to Senior Manager.