Department of Veterans' Affairs (DVA) has an insatiable appetite for data and associated insights. From ad-hoc requests for specific information to inform reporting and policy development, to cutting edge modelling to predict future trends, volume, costs, and program efficacy - data is increasingly central to everything we do. The purpose of the Data and Insights Branch is to evolve the way the department produces and uses data, analytics and research, to underpin evidence-based policy development, service delivery and wellbeing outcomes. The branch fosters a culture of curiosity in data and research, establishing processes that enable the department to better understand and serve the needs of veterans and their families. The Data Engineering team is building an enterprise data warehouse, integrating data from multiple sources into curated data products that are used for a variety of purposes including standard business reporting, advanced analytics, simulation modelling and predictive analysis. Our primary purpose is to ensure that source system data is well understood, documented for business use, modelled into consistent formats and structures, and to build products that enable business teams to understand their business and to drive decision making. We also provide technical support for proof of concept projects, trialling new ways of working with data and technology especially in cloud infrastructure. We work closely with the Visualisation team and ICT teams to improve data within DVA. Our current focus for recruitment is across technical analysts roles, data engineers and data modelers. We are particularly interested in candidates with skills in Amazon Web Services and Microsoft cloud environments, with a focus on Azure Data Factory and Microsoft Purview Data Governance and Compliance tools, as well as Python coding experience. An understanding of third normal form and star schemas modelling techniques, Atlassian Cloud (Jira and Confluence) and Gitlab would also be of value. We are seeking a Data Engineer - Systems Administrator to join our team. In this role, you will assist in the development and maintenance of our Enterprise Data Warehouse (EDW). We are looking for someone flexible enough to jump in and help with system admin tasks when the need arises. You will work closely with senior engineers and stakeholders to understand data-driven needs and implement robust processes to produce accurate data sets for analysis. This is an excellent opportunity for someone looking to grow their career in data engineering, data management and cloud management. The key duties of the position include Build ETL processes and other jobs to support DVA's Teradata Enterprise Data Warehouse. Contribute to the development of reusable code, libraries, patterns and frameworks. Understand data sources, ingestion and consumption use-cases, data quality, latency and other considerations such as data and storage formats, persistence needs, data volatility, business rules and aggregations, and other data considerations. Plan, document and execute testing of ETL processes and contribute to other quality assurance activities. As part of a team, build and maintain data definition descriptors & database structures, such as tables, views, indexes, and constraints. Communicate complex information or specialised content clearly, accurately and precisely for different stakeholders in person and in documentation. Perform system administration, user administration, support and maintenance activities for the software and infrastructure running in DVA's cloud environment. Liaise with Services Australia and vendors on DVA's behalf to ensure the Department's needs are met. Ensure the design, configuration and construction of DVA's cloud environment meets the needs of DVA and conforms to best practice principles.