Job Description

Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets.

We are more than 36,000 people, in over 70 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the world’s most complex challenges and deliver more impact together.

We are looking for a technically skilled and motivated professional to join our growing team. The role focuses on the analysis and management of large-scale climate and hydrological datasets to support climate risk assessments and resilient infrastructure planning. The role will involve handling complex climate datasets (e.g., CMIP5/CMIP6, CORDEX), performing spatial and temporal analyses, and developing data-driven insights to inform climate-resilient decision-making.

The candidate will collaborate closely with cross-functional teams across Climate Science, Water Engineering, Environment, Digital Analytics, and Sustainability domains to deliver technically robust and innovative solutions.

Role Accountabilities

• Handle and analyse large-scale climate datasets (e.g., CMIP5/6, CORDEX, ERA5)
• Conduct statistical and Geospatial analysis of climate and hydrological parameters to assess physical climate risks (e.g., flood, drought, extreme precipitation).
• Support the preparation of climate risk assessment reports and visualizations for internal and client deliverables.
• Use GIS tools (QGIS/ArcGIS) to process and integrate spatial data with climate model outputs.
• Contribute to the development of data pipelines, automated scripts, and reproducible workflows for climate data analytics.
• Collaborate with multidisciplinary teams (climate, water, sustainability and digital specialists) to deliver integrated solutions.
• Maintain documentation, data quality, and traceability in line with project standards.
• Contribute to knowledge sharing and continuous improvement of analytical methods within the team.

Qualifications & Experience

• Master’s degree in Hydrology, Water Resources Engineering, Climate Science, Environmental Science, or a related discipline, with 3–5 years of relevant experience; or a Ph.D. in a relevant discipline (experience during PhD will be considered).
• Hands-on experience in climate or hydrological data analysis using R and/or Python.
• Good understanding of climate models, complex climate datasets (e.g., CMIP5/CMIP6, CORDEX), and handling of gridded datasets (NetCDF, HDF, GRIB etc.).
• Experience with GIS tools (QGIS, ArcGIS) for spatial data processing and visualization.
• Exposure to remote sensing data, extreme event analysis, or statistical downscaling is desirable.
• Strong analytical, problem-solving, and communication skills.
• Ability to work both independently and collaboratively in a dynamic, multidisciplinary environment

Why Arcadis?

We can only achieve our goals when everyone is empowered to be their best. We believe everyone's contribution matters. It’s why we are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together.

You’ll do meaningful work, and no matter what role, you’ll be helping to deliver sustainable solutions for a more prosperous planet. Make your mark, on your career, your colleagues, your clients, your life and the world around you.

Together, we can create a lasting legacy.

Join Arcadis. Create a Legacy.

Our Commitment to Equality, Diversity, Inclusion & Belonging

We want you to be able to bring your best self to work every day which is why equality and inclusion is at the forefront of all our activities. Our ambition is to be an employer of choice and provide a great place to work for all our people. We are an equal opportunity employer; women, minorities, and people with disabilities are strongly encouraged to apply. We are dedicated to a policy of non-discrimination in employment on any basis including race, caste, creed, colour, religion, sex, age, disability, marital status, sexual orientation, and gender identity.

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