Assistant Engineer, Hydraulic Modelling, REC

Assistant Engineer, Hydraulic Modelling, REC

Ramboll has more than 1,000 experts working across five offices in India applying their passion to deliver innovative solutions in markets as diverse as Buildings, Transport, Planning & Urban Design, Water, Environment & Health and Energy. Founded in Denmark, Ramboll is a people company. We invite you to contribute to a sustainable future working in an open, collaborative and empowering culture.

Job Description

We are looking for a motivated Hydraulic Modeller with a minimum of 2 years of professional experience to join Climate Adaptation team, Water at Ramboll. The role involves supporting hydraulic and hydrological modelling projects, contributing to flood risk assessments, and developing climate adaptation solutions. Candidates should have hands-on experience with HEC and MIKE modelling tools, strong analytical abilities, and good communication skills. Knowledge of Python scripting for automation and data handling will be an added advantage.

Key Responsibilities

• Develop and support 1D, 2D, and coupled hydraulic models using HEC-RAS (1D/2D) and MIKE (HydroRiver/21/URBAN, Mike+).
• Collect, process, and analyse hydrological and meteorological datasets for model setup and calibration.
• Prepare maps, figures, and visual outputs to effectively present modelling results.
• Contribute to the design and assessment of flood management measures (levees, storage basins, stormwater systems, etc.).
• Collaborate with engineers, hydrologists, GIS experts, and environmental specialists in multidisciplinary projects.

Qualifications

• Master's degree in Civil Engineering, Water Resources, Hydrology, or related field.
• At least 2 years of experience in hydraulic and hydrological modelling.
• Proficiency in HEC suite and MIKE suite.
• Good working knowledge of GIS software (ArcGIS/QGIS) for data preparation and result analysis.
• Strong analytical, report writing, and communication skills.
• Familiarity with Python scripting (automation, data analysis, model post-processing) is highly desirable.