Senior BI Developer

dnata is one of the world’s largest air and travel services providers; offering ground handling, cargo, travel and catering & retail services at over 130 airports in more than 34 countries across six continents. At dnata, we are by your side for the entire travel experience. 

As a Senior BI Developer, you will be a fully participating member of a cross-functional team working autonomously on technology development and problem resolution in the analytics space. The role involves the design, development, testing, implementation, support and maintenance of technical data and analytics solutions and products.
In this role, you will:

• Develop, maintain, and manage advanced reporting, analytics, dashboards and other BI solutions. Translate functional and non-functional data and analytics requirements into fit for purpose technical design. Ensure solution performance, business edge cases and security related issues are addressed while developing software.
• Review the business requirements and analyse the effort estimation for design and development perspective.
• Debug issues of complexity, resolve blockers and follow design documents with minimal or no supervision.
• Complete data engineering coding tasks on problems of moderate to high scope and complexity. Demonstrate good coding principles. Conduct code review for peers. Ensure solutions adhere to published data privacy and cybersecurity principles.
• Operate with a data-driven mindset. Help translate data and analytics requirements into data solutions based on the approved technical designs. Assist with data analysis activities such as source system analysis, data modelling, 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.
• Collaborate closely with internal data engineering, architectural and data science colleagues to build out data frameworks to support reporting needs.
• 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 independently. Troubleshoot issues, and fix defects that are of moderate to high complexity.