Data Management & Engineering Intern (Technical)

Design & Planning Lab (DPLab) is a group within URA driving URA’s Urban Planning & Design Technology Centre of Excellence (URBEX) efforts. Our teams with capabilities in software development, geospatial analytics, urban design modelling & simulation, data science, AI / ML, data engineering, data governance and management, work closely with planners, architects, policy makers across various agencies, as well as external partners, to generate insights and develop tools and solutions to tackle Singapore's urban planning challenges. Within DPLab, the Planning Sectoral Data Hub team is developing a strategy and system to drive the fusion and distribution of key datasets for planning work across multiple government agencies. The team’s challenge is multi-faceted - stretching from data governance, technical solutioning to data engineering – as it lays the foundation for better planning. This role is under DPLab.

The intern shall assist Data Managers in the following tasks: • Manage the dataset lifecycle by documenting the data management policy and process from data pre-acquisition to data archival or destruction. • Set up processes for future Data management. • Work with other agencies to align data attributes and schema based on planning use cases, understand the datasets fully, ensuring proper access and use of the datasets, and work with Data Engineers to collect and fuse data, maintain the datasets and storage, rectify any issues and errors faced with the datasets. • Represent geospatial data transformations clearly and legibly • Visually communicate and represent the challenges & solutions for geospatial data (e.g. data relationships, processing, and transformations

Interns who are able to commit minimally 3-6 months. Full-time internship preferred. NOTE: To facilitate the hiring process, please state your availability (part-time or full-time), including specific start and end date in your resume or application form. • Open to A-Level / Polytechnic / Undergraduate / Postgraduate students pursuing / intending to pursue Computer Science/ IT; Business Analytics; Architecture; Smart Cities; Data Science, Engineering Other Requirements: • Used Python for Data Analytics • Experience running geospatial data analysis, or other data analytics projects • Relevant experience working with data managers or data engineers in data-related projects. • Good Project management Skills We regret to inform that only shortlisted candidates will be notified.