Canberra, Australia
Initial Contract Duration 12 months
Location ACT; QLD; VIC; NSW
Security Clearance Baseline
Province Australian Capital Territory
Country Australia
Postal Code ****
Essential criteria1.Demonstrated experience developing, auditing, reviewing, and supporting solutions within enterprise data warehouse platforms such as MS SQL, Teradata, Snowflake, Redshift, Databricks, or equivalent technologies.
2.Advanced programming capability, including strong experience with SQL and one or more languages such as Python, SAS, R, or Java.
3.Solid expertise in SQL development, optimisation, troubleshooting, and reverse engineering existing code.
4.Proven ability to interpret data models, technical specifications, and solution designs.
5.Experience working within DevOps environments and applying contemporary software development and delivery practices.
6.Demonstrated experience using version control tools and supporting structured release management processes.
Job Description
The EL1 Data Engineer is a senior member of the Data Services team and provides technical leadership across enterprise data initiatives.
The role is responsible for hands-on development, technical design, data modelling, code review, and implementation activities across enterprise data platforms.
The Data Engineer works closely with business stakeholders, architects, analysts, developers, testers, and support teams to deliver high-quality, scalable,



and maintainable data solutions while driving continuous improvement across data engineering practices.
Key duties and responsibilities
Provide technical leadership and guidance to data delivery teams through design reviews, technical advice, and implementation best practices.
Design, develop, and maintain enterprise data integration solutions, ETL processes, and analytical datasets.
Lead the technical implementation of new data assets from analysis and design through to deployment and operational support.
Review and enhance data delivery frameworks, development standards, and engineering practices to improve delivery efficiency and platform performance.
Develop and maintain SQL analytical code, ETL processes, and supporting technical documentation.
Conduct peer reviews of code, data models, and technical designs to ensure compliance with established standards.
Analyse business requirements and translate them into scalable technical solutions and data assets.
Collaborate with business stakeholders, data consumers, developers, testers, and support teams to deliver enterprise data solutions.
Facilitate knowledge transfer and capability uplift activities across the Data Services team.
Contribute to backlog prioritisation, planning activities, and continuous improvement initiatives.
(Note: responsibilities may change based on business priorities.)
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📌 2 Lead Data Engineers (Canberra)
🏢 Indigitise
📍 Canberra