Senior Data Engineer - Quality & Automation

At Emirates, we believe in connecting the world, to and through, our global hub in Dubai; and in constantly innovating to ensure our customers ‘Fly Better’. Join the Emirates Group IT Team in Dubai.  Emirates Group IT thrives on the dynamic nature of technology. Being pioneers in aviation innovation, we're always at the forefront, pushing boundaries. We're on the lookout for exceptional IT professionals to fortify our position as leaders in the industry. Embark on a journey with the world’s largest international airline and become a vital part of our cutting-edge information and technology team as Senior Data Engineer - Quality & Automation.

The Senior Data Quality & Automation 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 hands-on contributing to quality practices along with designing and implementing data quality and automation platforms. They will also provide support to technical analytics solutions and products that support Emirates Airlines and the Emirates Group businesses.

Job Outline:

• Work closely with product owners, analysts, software engineers, and architects to understand the technical landscape and context of deliveries to refine complex functional and non-functional requirements and translate it into fit-for-purpose acceptance tests.
• Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors and selection methods to validate and automate the solution.
• Build test strategies and test plans validating the core business problem and translating them into tests around code functionality, data quality, performance, and security.
• Build and support generating or mocking of test data for exploratory analysis and running tests.
• Design and build automated tests/jobs of moderate to high scope and complexity across all stages of the data pipeline while demonstrating good coding & design practices and adhering to published coding standards and guidelines.
• Build and enhance data quality rules and platforms for observability across the data pipeline
• Debug complex issues, resolve blockers, and follow design documents with minimal or no supervision.
• Conduct data analysis activities such as source system analysis, data modeling, data dictionary collection, data profiling, and source-to-target mapping ensuring delivery of business needs.
• Support in updating data inventories and registries as required to keep metadata and data lineage up-to-date, following agreed Data Governance standards, guidelines, and principles.