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Hydro Data Engineer

Australia, Sydney 732.51 - 745.03 AUD / Day · Job Posted June 04, 2026
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Job Description

Role purpose: This position will have responsibility for developing, optimising and operationalising a contemporary automated water resources models and analytics tools, for hydraulic, hydrologic and water management applications.The role will also incorporate data-driven modelling approaches, leveraging advanced analytics, machine learning, and statistical methods to complement traditional modelling, enhance predictive accuracy, and strengthen decision-support.

Job Responsibility

  • Ensure all activities are undertaken with the safety of our people as the number one priority and always role model safe behaviour
  • Collaborate with water resource engineers/specialists to ensure access to quality-assured data, modelling tools and automated systems. Develop, test,integrate, and deploy systems for database interactions and data inputs
  • Design, develop and implement contemporary hydroinformatics components, tools and products to enhance water science capability. Leverage GIS for hydroinformatics applications, integrating spatial data with hydraulic, hydrologic and water quality models to support advanced analysis
  • Update, optimise and maintain the exisinting models, system components, tools and products to support a wide range of applications

Requirements

  • professional programming skills using agile languages, including Python, R and/or MATLAB
  • in system languages, including C++ and FORTRAN
  • Extensive knowledge of scientifically robust statistics in a water resources management context
  • Extensive knowledge of contemporary software development, maintenance and management practices in scientific modelling environment
  • Knowledge of water resources management challenges and use of modelling applications to inform decision making
  • Demonstrated experience in ArcGIS/QGIS and handling of vector and raster data for scientific applications
  • Experience applying data-driven modelling approaches (such as machine learning or statistical techniques) to enhance hydrological analysis and forecasting
  • Bachelors Degree

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