Mandatory Skills: Foundational understanding of data engineering concepts including data modelling and ETL/ELT pipelines (academic or project-based exposure is acceptable); proficiency in SQL; basic working knowledge of at least one programming language such as Python; and demonstrated interest or coursework in cloud platforms such as AWS or Azure.
Develop and enhance API solutions for end-to-end payment processing workflows, including payment initiation, clearing, settlement, reconciliation, and reporting.
Participate in code reviews and ensure quality standards are maintained throughout development, with particular attention to citizen-facing functionality, accessibility compliance, and data security in accordance with government standards. Troubleshoot complex technical issues related to CSM implementations and public sector digital service integrations, providing timely resolution.
Collaborate with data scientists, business analysts, product managers, software engineers and other data engineers to develop, implement and validate deployed data solutions.
Participate in code reviews and ensure quality standards are maintained throughout development, with particular attention to citizen-facing functionality, accessibility compliance, and data security in accordance with government standards. Troubleshoot complex technical issues related to CSM implementations and public sector digital service integrations, providing timely resolution.
Treat the AI-ready data and harness layer as the foundational multiplier for AIDA returns, explicitly designing for build-once, deploy-many reuse across models, agents, channels and BUs.