You will be involved in full-time and part-time course offerings.

Ngee Ann Polytechnic
LECTURER, DATA ENGINEERING - SCHOOL OF INFOCOMM TECHNOLOGY
What the role is
You will be involved in full-time and part-time course offerings.
What you will be working on
Your responsibilities will include, but are not limited to, the following:
Lead in design, development and review curriculum, facilitate student learning, supervise projects, conduct assessments
Participate in and contributes to professional development activities such as industrial research and development projects or publication/presentation of papers
Work with enterprises to develop partnership opportunities on industry projects, curriculum development, and/or training of learners
Drive cross-functional/project teams focused on developing practical solutions for real-world challenges, with emphasis on translating research into applicable outcomes and providing consultancy for practical implementation
Perform associated tasks for modules related to Data Engineering, Data architecture, Analytics, Cloud technologies and other ICT-related modules
Support student development in areas of Education and Career Guidance
Solicit internship opportunities with industry partners and supervise student internships
Participate in ad hoc projects pertaining to academic enhancement, student development, publicity and outreach and Continuing Education and Training (CET)
What we are looking for
At least 3 years of relevant work experience in designing, implementing, or supporting data virtualisation solution, big data platforms and pipelines, and/or data lake and data warehouse systems for large‑scale data environments.
Proficient in Analytical Programming using Python and/or other related programming languages.
Ability to clearly explain data architecture and data engineering concepts in an applied teaching context.
Additional pre-requisites that are advantageous
Experience in platforms such as Snowflakes, Denodo, Apache Spark, Hadoop ecosystem, Alteryx or equivalent.
Experience in designing and building systems for collecting and analysing data (structured and unstructured) at scale with data integration, ETL/ELT processes, data modelling, and performance optimisation.
Practical exposure to data virtualisation platforms and/or concepts (e.g. virtual data layers, federated queries, abstraction over heterogeneous sources).
Knowledge of Cloud/Data Engineering DevOps tools such as Azure/AWS Cloud, Apache Spark, Apache Kafka, PostgreSQL, Airbyte and modern data repositories will be an advantage.
About your application process
This job is closing on 31 May 2026.
If you do not hear from us within 4 weeks of the job ad closing date, we seek your understanding that it is likely that we are not moving forward with your application for this role. We thank you for your interest and would like to assure you that this does not affect your other job applications with the Public Service. We encourage you to explore and apply for other roles within Ngee Ann Polytechnic or the wider Public Service.
About Ngee Ann Polytechnic
Learn more about Ngee Ann Polytechnic