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

Job Requisition ID: 176818 

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 A”rab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees 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. Al-Futtaim Group’s entrepreneurship and relentless customer focus enables the organisation 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.

Overview Of The Role:

The Data Engineer is responsible for turning complex data from SAP and non-SAP sources into valuable business insights. This role involves participating in requirement assessments, implementing high-quality data solutions, and supporting various business needs. Success entails effective collaboration with product and development teams to deliver scalable, governed data solutions swiftly. The Data Engineer plays a key role in maintaining the quality of data insights solutions and ensuring alignment with business objectives.

What You Will Do:

• Partner with product owners, scrum masters, and solution architects to deliver solutions.
• Review and analyze business requirements to design technical solutions.
• Collaborate with implementation team members and partners internally and externally to develop, test, and deploy solutions.
• Adhere to software development and maintenance standards by understanding development best practices.
• Implement robust data pipelines using the Microsoft toolset and Databricks.
• Create reusable and scalable data pipelines.
• Estimate and deliver multiple project assignments and system change requests within agreed resourcing and timelines.
• Govern solutions and assess complex new data sources with various SAP and non-SAP systems.
• Analyze structured, semi-structured, and unstructured data sources for quality, completeness, and business value.
• Govern the technology implementation of solution designs.

Required Skills To Be Successful:

• Expertise in data ingestion, data processing, and analytical pipelines for big data and data warehouse solutions.
• Experience in cloud-based analytics solutions, particularly Azure Synapse Analytics, ADLS, ADF, Databricks, Power BI, and Azure Analysis Services.
• Strong analytic skills with experience handling unstructured datasets.
• Thorough understanding of DevOps processes, CI/CD, and Infrastructure as code.

What Equips You For The Role:

• 8+ years of experience in Azure and Databricks.
• Minimum 5+ years in implementing analytics capabilities from conceptualization to delivery on the Azure platform.
• Bachelor's degree in Computer Science or a related field.
• Knowledge of SAP BW/BO, Tableau, Power BI, and Scala is advantageous.
• Certification on Azure platform toolsets is a beneficial addition.

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Before you click “apply”: Please read the job description carefully to ensure you can confidently demonstrate why this opportunity is right for you and take the time to put together a well-crafted and personalised CV to further boost your visibility. Our global Talent Acquisition team members are all assigned to specific businesses to ensure that we make the best matches between talent and opportunities. We not only consider the requisite compatibility of skills and behaviours, but also how candidates align with our Values of Respect, Integrity, Collaboration, and Excellence.

As part of our candidate experience promise, we also want to make ourselves available to you throughout the application process. We make every effort to review and respond to every application.