Trainee Data Engineer

A.    Job Purpose
•    This role is central to managing the airline’s operational data, building scalable data pipelines, enabling organization-wide reporting, and driving automation using the Microsoft ecosystem.
B.    Key Accountabilities
Functional Activities
•    Design and maintain end-to-end data pipelines using SQL, Microsoft Fabric, and Python to support operations and planning analytics.
•    Develop and manage centralized databases and reusable data models for seamless integration across Power BI, Power Apps, and other analytics platforms.
•    Build and optimize Power BI dashboards and data models, implementing Row-Level Security (RLS), performance tuning, and enterprise-wide report distribution.
•    Collaborate with stakeholders to gather reporting requirements and deliver actionable insights via automated dashboards and self-service tools.
•    Integrate Power Automate and Power Apps for workflow automation and operational process digitization.
•    Maintain data accuracy, schedule refreshes, and monitor Power BI services and dataflows for uninterrupted delivery.
•    Support adoption of Microsoft Fabric ecosystem including Dataflows, Lakehouses, Notebooks, and Pipelines for modern data architecture.
Any other additional responsibility could be assigned to the role holder from time to time as a standalone project or regular work. The same would be suitably represented in the Primary responsibilities and agreed between the incumbent, reporting officer and HR.

C.    Skills Required for the role 

Airline Operational Expertise     Power BI – report development, data modeling, DAX, Power Query, and RLS.

SQL, Power BI, Python, Databases , Power Automate and Power Apps    Familiarity with the Microsoft Fabric suite – including Dataflows, Pipelines, Lakehouse, and Fabric Notebooks.

D.    Key Interfaces
Internal Interfaces
Mission Management,Flight Ops, CCD, AOD    •    Making interactive dashboards and automation solutions doe all these teams to address their specific needs and ease the decision-making process
E.    Educational and Experience Requirements
Minimum Education Requirement    •    Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related field
•    0 to 2 years of experience in data engineering, analytics, or business intelligence roles using the Microsoft stack