Graduate Engineer – Water Systems Optimisation

We are recruiting a Graduate Engineer to join our Water Team, working with UK water companies on some of the most important infrastructure challenges currently facing the industry. These include supporting water companies' AMP delivery, Drainage and Wastewater Management Plans (DWMPs), and the ongoing issue of Combined Sewer Overflow (CSO) spills and the effect on the environment, which is a high-profile topic in both politics and the media.

The role focuses on using engineering tools, data and automation to understand how large wastewater systems behave and how their performance can be improved. You will be trained to work with hydraulic network models and to apply optimisation and automation techniques to explore large numbers of scenarios efficiently and consistently.

This role is suited to graduates who enjoy understanding complex systems, testing different approaches, and using software to support sound engineering decisions.

What You Will Be Doing

Working with 1D hydraulic network models used by UK water companies to support project delivery through structured model assessment and scenario testing

Analysing sewer network performance and the effectiveness of design and mitigation options

Using optimisation and automation tools to run, manage and interrogate large numbers of model simulations

Contribute to a diverse range of work with ongoing opportunities to create and innovate

Developing scripts and small tools to improve efficiency, repeatability and quality of results

Applying engineering judgement to interpret model outputs and support decision-making

You will receive structured training and mentoring as part of a supportive engineering team.

Who This Role Is For

We are open-minded about academic background and welcome applicants from a range of engineering and scientific disciplines, including:

Mechanical Engineering (including automotive or aeronautical)

Physics

Mathematics

Civil Engineering or related disciplines

The key requirement is an interest in analytical problem solving and in using software to understand and improve real-world engineering systems.