
Al Futtaim
Senior Data Engineer
- Permanent
- Dubai, United Arab Emirates
- Experience 10 - 15 yrs
Job expiry date: 03/02/2026
Job overview
Date posted
20/12/2025
Location
Dubai, United Arab Emirates
Salary
Undisclosed
Compensation
Comprehensive package
Experience
10 - 15 yrs
Seniority
Senior & Lead
Qualification
Bachelors degree
Expiration date
03/02/2026
Job description
The Senior Data Engineer role at Al-Futtaim Group sits within the Data and Analytics team and is responsible for transforming complex data landscapes into actionable business insights. The role evaluates and integrates diverse data sources from both SAP and non-SAP systems, converting them into business-ready datasets that support analytics and business intelligence objectives. The position plays a critical role in designing, developing, implementing, testing, and supporting data pipelines and rapid prototypes within the Azure Data platform, ensuring scalability, reliability, and accessibility of enterprise data. Responsibilities include prototyping and solution design, translating business requirements into Technical Specification Documents and Functional Specification Documents, building and managing reusable data pipelines, supporting reporting and analytics tools, integrating new data streams into Azure, collaborating across engineering teams, and supporting delivery through agile and waterfall methodologies. The role requires deep expertise in Azure-based data engineering, Databricks, big data architectures, CI/CD deployment practices, and advanced programming and data processing skills to support enterprise-scale analytics platforms.
Required skills
Key responsibilities
- Design, document, develop, implement, and test rapid data prototypes to demonstrate business value
- Participate in early-stage design discussions and feature definition to shape future data initiatives
- Translate business requirements into Technical Specification Documents and Functional Specification Documents
- Build, manage, and optimize reusable and scalable data pipelines for efficiency and reliability
- Develop and support integration of new SAP and non-SAP data streams into the Azure Data platform
- Support regular reporting and analytics queries using tools such as Alteryx, Power BI, and Azure services
- Deploy and manage Azure Data Factory pipelines using Azure DevOps with CI/CD practices
- Collaborate across data engineering teams to integrate prototypes into core intelligence products
- Support project delivery across agile and waterfall methodologies to ensure timely execution
Experience & skills
- Minimum of 10+ years of experience in data engineering with strong focus on Azure and Databricks environments
- Hands-on expertise in Azure Data Factory, Azure Databricks, and Azure Event Hubs
- Proven experience designing and maintaining Big Data pipelines, architectures, and datasets
- Strong programming expertise in Python, PySpark, and SQL
- Experience working with relational and non-relational databases
- Experience using Azure DevOps for CI/CD deployment of data pipelines
- Bachelor’s or Master’s degree in Data Management, Information Systems, Business, Computer Science, or a related field
- Certifications in Azure Data Fundamentals and Databricks are preferred