Location
Brighton, Bristol, Cardiff, Derby, Edinburgh, Leeds, Newcastle, Reading; UK

Hours
Full Time

Salary
Negotiable

About the Role
Mott MacDonald is a global engineering, management, and development consultancy with over 20,000 employees across more than 50 countries and 140+ offices. Our Water Utilities Division is the centre of excellence for addressing the UK and Ireland's water and wastewater challenges, delivering projects that ensure safe water supplies, prevent urban flooding, and improve river and coastal health. We offer diverse, technically stimulating opportunities throughout the full project life cycle, from advisory services to detailed design.

We have an exciting opportunity for a Wastewater Network Modeller to join our team of innovative and motivated modellers, engineers, and project managers. You will work on projects for UK Water Companies and international clients, developing your technical skills with a view to achieving chartership. This role is ideal for motivated graduates or early career professionals seeking career progression within Mott MacDonald.

We support agile working with a hybrid policy that promotes well-being, flexibility, and trust. As an employee-owned business, we foster a culture of shared success, inclusion, and empowerment. Our comprehensive benefits support your financial wellbeing, health, lifestyle, and professional development, ensuring you can perform at your best and grow your career in a supportive environment.

Experience
- Good working knowledge of InfoWorks ICM and GIS packages
- Relevant degree qualification
- Experience in the UK Water Sector
- Proficient in Microsoft Word, Excel, and PowerPoint
- Strong communication skills, able to engage in technical discussions and produce clear oral presentations and written reports

About you
- Motivated and eager to develop technical skills
- Desire to progress towards professional chartership
- Able to work collaboratively within multidisciplinary teams
- Adaptable to agile working environments

Qualifications
- Relevant degree in a related discipline

Desirable
- Experience with FME, Power BI, and/or programming skills in Ruby, VBA, or Python