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)