[What the role is]
This traineeship provides hands-on experience in building and maintaining data pipelines, automating data workflows, and integrating datasets within CAAS’s enterprise data environment.[What you will be working on]
The Data Engineering Trainee will:
Develop and maintain data pipelines to automate data extraction, transformation, and loading into CAAS’s Enterprise Data Management System (EDMS).
Create scripts and automation tools for data processing, integration, and validation.
Build dashboards and visualisations to communicate insights and support operational decision-making.
Support AI-driven data use cases, including prompt design, data transformation workflows, and chatbot setup.
[What we are looking for]
We are seeking an entry-level candidate who is passionate about data engineering and applied AI, and eager to contribute to CAAS’s data transformation efforts.
The ideal candidate enjoys problem-solving, working with data systems, and developing practical solutions to derive actionable insights.
Preferred qualifications and experience:
Background in Computer Science, Data Science, Engineering, Information Systems, or a related discipline.
Basic understanding of data engineering concepts, including ETL processes, data pipelines, and APIs.
Familiarity with Python and SQL for data extraction, transformation, and automation.
Exposure to data visualisation tools (e.g. Power BI, Tableau) for building dashboards and reporting insights.
Interest in AI and data applications, such as prompt design and chatbot development.
Strong analytical and communication skills, with the ability to work both independently and collaboratively in a team environment.