SAS Data Engineer

Senior Recruitment Consultant at Talent International The Opportunity Our client is a community focused Federal Government Agency, seeking a SAS Data Engineer to assist with updating data development documentation and hands‑on development with their data platform. This will be a 12‑month initial contract with a further 12‑month extension possible, offering open‑market hourly rates. This is a hybrid role offering strong WFH options, with an office location in Richmond or Geelong. Responsibilities Provide technical leadership to the project delivery team through design reviews, advising on implementation best practices, defining and refining release process and technical workshops. Review and refine the data delivery framework to enhance integration of new sources, performance of existing data delivery and rapid development of new subject areas. Own the technical implementation of new data from analysis to delivery (designing and delivering data dictionary, defining the release steps, defining best practices of data modelling and review steps). Facilitate continuous improvement measures in delivery principles, coding standards, documentation and provide training sessions to team. Provide knowledge transfer sessions and peer review on best practices on development, data modelling, release process etc. Prioritise work items and add them to a work queue. Understand, analyse and size user requirements. Development and maintenance of SQL analytical and ETL code. Development and maintenance of system documentation. Collaboration with data consumers, database development, testers and IT support teams. Qualifications Australian Citizenship is mandatory to be eligible to work for this Federal Government Agency. Demonstrated competency in developing, auditing and reviewing code in 3 out of the 5 Data Warehouses listed - MS SQL, Teradata, Snowflake, Redshift, Databricks. High level of competency in programming, including knowledge of supplementary programming languages such as Python, SAS, R or Java, including building ETL pipelines using these languages. Strong expertise with SQL, including experience with reverse‑engineering end user SQL code and using SQL ETL frameworks like DBT or SQLMesh. Develop and customise SAS Visual Investigator data models, workflows, entities and rules to support investigative case management. Ability to understand DevOps process and can use DevOps tools in accordance with the process. Ability to demonstrate knowledge of version controls and its appropriate uses. Monitor and troubleshoot system health, logs and performance using SAS tools. Exposure to AWS Cloud, AWS S3, AWS Glue or similar tools within the cloud environment. Competency with required systems, software and programs, including SAS and Excel, and demonstrated experience data modelling using metadata / model‑driven frameworks. Tertiary qualifications in mathematics, statistics, computer science discipline or more than three years relevant work experience. Desirable Criteria Experience with monitoring and troubleshooting system health, logs and performance using SAS tools. Exposure to AWS Cloud, AWS S3, AWS Glue or similar tools within the cloud environment. Competency with required systems, software and programs, including SAS and Excel, and demonstrated experience data modelling using metadata / model‑driven frameworks. Tertiary qualifications in mathematics, statistics, computer science discipline or more than three years relevant work experience. Seniority level Mid‑Senior level Employment type Contract Job function Information Technology Industries Business Intelligence Platforms Apply Submit your resume, or for further information please contact for more information. #J-18808-Ljbffr