Data Engineer (Government Projects)

We are looking for an experienced Data Engineer to design, build, and maintain scalable data pipelines, system integrations, and cloud infrastructure to support data analytics and AI initiatives.

You will work across data engineering, cloud infrastructure, data governance, and AI enablement, helping to consolidate data from multiple sources into centralised platforms and ensuring data is secure, reliable, and fit for business use.

You will collaborate closely with data analysts, infrastructure teams, product teams, engineers, and business stakeholders to translate complex requirements into robust data solutions and support the development of analytics and AI-powered applications.

Working Hours

Mon-Fri Working Location: Central Salary Package: Up to $10,000 (basic) + AWS Key Responsibilities Data Engineering & Analytics Design, develop, and maintain scalable data pipelines, ETL/ELT processes, and data integration solutions.

Develop data models and architectures to support analytics, reporting, and business intelligence. Monitor data quality, pipeline performance, and reliability to ensure timely and accurate data delivery. Define data collection standards, technical specifications, and system integration requirements.

Plan and execute data migration projects from legacy relational systems, including schema mapping, ETL/ELT design, data validation, and cutover planning. Cloud Infrastructure Provision, configure, and maintain cloud infrastructure and services, particularly within AWS environments.

Develop and maintain Infrastructure-as-Code (IaC) using Terraform to support consistent and repeatable deployments. Collaborate with infrastructure and engineering teams on system integrations and cloud operations. Monitor cloud environments, troubleshoot issues, and support security and vulnerability remediation.

Data Exploration & AI Enablement Assess existing datasets and data sources to identify data quality, availability, and readiness gaps. Map data landscapes and iden