Data Engineer

The Data Engineer is a fully participating member of a cross-functional team working autonomously on technology development and problem resolution in the Enterprise Data & Analytics space. The role involves the development, testing, implementation, support, and maintenance of technical data and analytic solutions and products that support Emirates Airlines and the Emirates Group businesses. 

In this role, you will:

• Complete data engineering coding tasks on problems of low to moderate scope and complexity. Demonstrate good coding principles. Ensure solutions are reviewed to adhere to published data privacy and cybersecurity principles.
• Debug issues of complexity, resolve blockers, and follow design documents with some supervision.
• Assist with data analysis activities such as source system analysis, data modeling, data dictionary collection, data profiling, and source-to-target mapping to ensure solutions deliver on business needs.
• Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
• Work with senior and lead data engineers in the technical design process by contributing in the analysis of data application, data integration, large data storage, or data pipeline requirements.
• Update data inventories and registries as required to keep metadata and data lineage up-to-date, following agreed Data Governance standards, guidelines, and principles.
• Carry out unit testing with some supervision. Troubleshoot issues, and fix defects that are of low to moderate complexity.
• Shadow senior and lead data engineers on design and architecture components, and collaborate with members of the cross-functional team to identify areas of inefficiency and propose solutions.
• Adhere to published coding standards, guidelines, and best practices and contribute to Data Engineering Playbooks and other data technology blueprints.
• Proactively work with senior and lead data engineers, chapter leads and line managers to upskill on the technology set used by Data Engineering.