Who are we:
Our department prioritises housing and home ownership as the primary objective. In response to the national housing crisis, we are committed to accelerating the construction of additional dwellings to meet the urgent demand for quality housing.
Our mission focuses on coordinating various portfolios related to housing, housing infrastructure, urban development, and planning. By ensuring sound decisions and efficient management, we strive to create sustainable, well-planned communities offering safe and affordable housing options.
Join us in our endeavour to address one of the most pressing challenges of our time and make a tangible difference in the lives of our community.
The Role:
Working closely with the Team Leader Cadastre and Enterprise GIS this is an exciting opportunity for an experienced and highly motivated Senior Data Engineer to join our dedicated Geospatial Services team to help remove manual processing and create highly valued curated geospatial and standard datasets. This role reports directly to the Manager Geospatial Services and will see you responsible for coordinating, delivering and reviewing complex data curation, maintenance and governance programs, projects and services that develop and enhance Land and Built Environment's (LBE) Geospatial Data Lake and Business Intelligence capabilities. You will bring your expert data engineering knowledge and learn how to apply this to some of the state's core geospatial datasets.
About You:
To be successful in this position, you must be able to demonstrate experience across the following key capabilities:
* Experience in the data lifecycle of collection, ingestion, storage, processing, curation and visualisation.
* Knowledge of the AWS data ecosystem including the use of tools such as Glue, RDS, Lake Formation, Lambda, Athena, Code Pipeline and using Cloud Formation / CDK to develop and deploy solutions.
* Experience performing data engineering in one of the major cloud platforms as well as the ability to review and provide advice on data analytics architectures.
* Experience using Python based data engineering methods such as Pandas, Jupyter notebooks and PySpark.
* Well-developed, applied knowledge of System Development and support Methodologies (Devops, SDCL, Agile Development and ITIL) and data management methodologies and principles.
Desirable Qualification:
Tertiary qualifications in Data Science, Data Analytics or related discipline.
Special Conditions
Successful applicants may be required to obtain a satisfactory Department of Human Services Criminal History Check or National Police Check prior to employment. A renewal will be required every 3 years.
Remuneration:
ASO6 – $97,022 min – $102,626 max
Enquiries:
For all confidential enquiries, please contact Michael Ness at
Application Instructions:
All applications must be submitted online.
If you are interested in this opportunity, please submit a covering letter (no more than 2 pages), outlining your skills and experience in relation to the key capabilities outlined in the role statement, a current CV and the contact information of three referees including your current line manager.
All applicants must complete a 'Pre-Employment Declaration in the SA Public Sector' form.