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As an Automation & Data Engineer, you will play a key role in designing, developing, and maintaining automated data and integration solutions that support Service Stream’s business processes and platforms. This role is central to delivering scalable, reliable, and well governed automation solutions that enhance operational efficiency and enable data driven decision making across the organisation. You will work closely with technical and business stakeholders to translate requirements into robust, production ready solutions that support continuous improvement and organisational growth.
Job Responsibility:
Design, build, test, and maintain automated data pipelines, integrations, and workflows
Implement and operate automation solutions using AWS services including AWS Batch, AWS Glue, Lambda, Redshift, and Step Functions
Develop and optimise data models, transformations, and performance‑tuned solutions across data platforms
Design automation and data workflows with strong error handling, orchestration, monitoring, and recovery mechanisms
Collaborate with stakeholders to gather business requirements and translate them into technical solution designs
Provide ongoing operational support, including troubleshooting, root‑cause analysis, and sustainable fixes
Produce and maintain technical documentation aligned with security, governance, and operational standards
Contribute to team collaboration through code reviews, knowledge sharing, and adherence to development best practices
Requirements:
Must be an Australian Citizen
Hands‑on experience delivering automation and data engineering solutions using AWS cloud services
Strong proficiency in Python for automation, data processing, and orchestration logic
Advanced SQL skills for transformation, optimisation, and data validation (Redshift experience highly regarded)
Strong understanding of automation and data solution design, including orchestration patterns and error‑handling strategies
Proficiency with Git, including branching, pull requests, and collaborative development practices
Strong analytical and problem‑solving ability, particularly across automated and data‑driven systems
Ability to work autonomously, manage competing priorities, and communicate effectively with both technical and non‑technical stakeholders
Tertiary qualification in data engineering, computer science, information technology, engineering, mathematics, or a related discipline — or equivalent professional experience