The Senior 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 design, development, testing, implementation, support and maintenance of BI solutions and products that support Emirates Airlines and the Emirates Group businesses.

As a Senior Business Intelligence (BI) Engineer you will 

• Design and build BI solutions such as dashboards, reports and universes/dossiers to provide business users ability to derive insights and make decisions based on ED&A data. 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.


• Debug issues of complexity, resolve blockers and follow design documents with minimal or no supervision.


• 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 BI solutions based on the approved technical designs. Collaborate with Product Owners, Insights Specialists and Business Users on producing the right KPI and associated visuals to ensure that the artefacts delivered propel data-driven insights.


• 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.


• Promote self-service BI by building self-service applications and providing clear definitions for all semantically modelled data.


• 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.


• 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. 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.


• Adhere to published coding standards, guidelines and best practices and contribute to Data Engineering Playbooks and other data technology blueprints.

To be considered for the role, you must meet the below requirements: 

Qualifications:

 In a relevant field such as Computer Science, Computational Mathematics, Computer Engineering or Software Engineering.

Specialization or electives in a Data & Analytics field (e.g. Data Warehousing, Data Science, Business Intelligence) a nice-to-have

Experience:

2+ years BI development experience (Fewer years’ experience will be considered for Masters degree holders)

•       Minimum 2+ years of development, testing and support experience in the BI solutions such as reports, dashboards and self-serve universes/dossiers


•        Good user experience design principles


•       Understanding of data architecture concepts such as data modelling, Big Data storage, Lambda architecture, data vault and dimensional modelling nice-to-have


•       Experience scheduling jobs that can be monitored efficiently and ensure data quality


•       Ability to conduct unit testing


•       Strong SQL querying skills required

Knowledge/Skills:

 Strong ability to conduct data analysis (e.g. data dictionary / metadata collection, data profiling, source-to-target mapping) is preferred

• Operates with a “You Code It, You Own It” mindset (i.e. supports the products they build)


• Demonstrated problem-solver; able to design and document solutions independently


• Team player; able to collaborate with others to remove blockers, solve complex design problems and debug/resolve issues


• Able to deliver solutions (and associated value) iteratively


• Is accountable and displays positive attitude


• Self-starter and has passion for exploring and learning new technologies, especially those in the Enterprise Data & Analytics space