Senior Geo-Environmental Engineer

Derby
1 month ago
Applications closed

Related Jobs

View all jobs

Geoenvironmental Engineer

Senior Data Architect - Leading GIS/Geo-spatial Telco SaaS Business

Graduate Geotechnical / Geo-Environmental Engineer

Senior Hydrogeologist- Derby

Senior Quantitative Developer - Low Latency

Senior Data Scientist

My client is pleased to announce that due to continued growth there is
an opportunity for a Senior Geo-Environmental Engineer to join the team based in
Derby.
 
MAIN DUTIES AND RESPONSIBILITIES
 
The main duties and responsibilities of the role will be to develop and manage the work
and staff of the Derby team and to assist the Directors to exploit business
opportunities.
 
You will be expected to support colleagues to deliver the work of the department and
to assist and mentor more junior members of staff. You will work within a team
environment and will also benefit from the support of more senior and more junior
members of staff. The work will be a combination of office and site based work.
 
Duties will include (but not limited to):
·Undertaking site appraisals to include review of 3rd party reports.
·Design and cost Phase 2 site investigations.
·Undertake and contribute to Phase 1 desk studies, Phase 2 site investigation,
·Remediation Strategies and Validation work as required.
·Undertake site work as and when required to include logging of soils and rock
·to BS/Eurocode, sampling, monitoring and scheduling.
·Project management to include ensuring projects are delivered in accordance
·with the require scope of works within budget and to ensure more junior
·members of staff are aware of their responsibilities and undertake their work
·in a safe and competent manner.
·Be able to interpret data and undertake report writing to a suitable professional
·standard.
·Competent in undertaking human health risk assessments, controlled water
·risk assessments, preferably Detailed Quantitative Risk Assessment.
·Demonstrate a basic understanding of soil mechanics and recommend
·appropriate foundation designs.
·Develop the company's expertise and offerings.
·Liaise with clients and develop client relationships.
 
QUALIFICATIONS, SKILLS AND EXPERIENCE
Candidates will be expected to:
·Have a minimum degree level qualification in an appropriate engineering or
·science discipline.
·Ideally hold a post graduate qualification.
·Working towards and ideally be close to gaining chartered status.
·Have previous relevant experience.
·Be computer literate in MS Word, Excel, Openground, Surfer, MS Project,
·preferably CAD and/or GIS.
·Be able to demonstrate excellent interpersonal skills for management of both
·internal staff and clients.
·Be able to demonstrate a suitable level of H&S and QA, preferable hold a CITB
·Managers safety training scheme card.
·Full UK Driving license.
·Be able to demonstrate their right to work in the UK
 
WHAT THEY OFFER
The remuneration will be agreed on an individual basis, but they will offer a competitive
salary, personal pension, an attractive working environment; informal flexible working arrangements; employee engagement to include bi-annual appraisal to identify training requirements and career progression routes; payment of professional membership fees; min 25 days leave with an extra day for each year work up to 28 days maximum plus bank holidays; holiday buy back scheme; long service awards; and more

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Best UK Universities for Data Science Degrees (2025 Guide)

Discover ten of the strongest UK universities for Data Science degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the currency of the modern economy, and professionals who can wrangle, model and interpret vast datasets are in demand across every sector—from biotechnology and finance to sport and public policy. UK universities have been at the forefront of statistics, artificial intelligence and large-scale computing for decades, making the country a prime destination for aspiring data scientists. Below, we profile ten institutions whose undergraduate or postgraduate pathways excel in data science. Although league tables vary each year, these universities have a proven record of excellence in teaching, research and industry collaboration.

Veterans in Data Science: A Military‑to‑Civilian Pathway into Analytical Careers

Introduction The UK Government’s National AI Strategy projects that data‑driven innovation could add £630 billion to the economy by 2035. Employers across healthcare, defence, and fintech are scrambling for professionals who can turn raw data into actionable insights. In 2024 alone, job‑tracker Adzuna recorded a 42 % year‑on‑year rise in data‑science vacancies, with average advertised salaries surpassing £65k. For veterans, that talent drought is a golden opportunity. Whether you plotted artillery trajectories, decrypted enemy comms, or managed aircraft engine logs, you have already practised the fundamentals of hypothesis‑driven analysis and statistical rigour. This guide explains how to translate your military experience into civilian data‑science language, leverage Ministry of Defence (MoD) transition programmes, and land a rewarding role building predictive models that solve real‑world problems. Quick Win: Take a peek at our live Junior Data Scientist roles to see who’s hiring this week.

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.