Data Engineer (E2)

Responsibilities

• Design, build and enhance enterprise data platforms, including Data Lakes, Data Warehouses, data pipelines and analytics solutions that power business decisions across the organisation.
• Transform raw data into meaningful insights through modern data engineering practices and automation.
• Collaborate with business and technology teams to solve real-world problems using data.
• Participate in the full solution lifecycle, from idea and design through development, testing, deployment and continuous improvement.
• Explore opportunities to improve data quality, performance, automation and operational efficiency.
• Gain hands-on experience with enterprise scale data platforms while developing future ready data engineering skills.
• Contribute to the organisation's ongoing data and analytics transformation journey.

Requirements

• Minimum – Degree in IT.
• Minimum 1-2 years’ experience in IT software development environment.
• Minimum 1-2 years’ experience in IT project management.
• Data Analytics and Visualization Platforms (Tableau, Power BI)
• Database (MS SQL, Oracle, DB2, etc)
• Programming Languages (SQL Scripting, C#, Python)
• ETL tools (SSIS, etc)
• Cloud and Data Platform Technologies (AWS, Azure, and other cloud-based data services)