Graduate / Senior Geotechnical Engineer

Newcastle upon Tyne
11 months ago
Applications closed

Related Jobs

View all jobs

Junior / Graduate Data Scientist

Data Analyst - Farming Operations

Data Analyst - Farming Operations

Junior Data Analyst

Junior Data Analyst

Junior Data Analyst

Excellent opportunity for a Graduate / Senior Geotechnical / Geoenvironmental Engineer to join a well-established company based in Newcastle Upon Tyne

Job Type: Full Time / Permanent

Salary: Competitive, Negotiable Depending on Experience

About The Company

They are a forward-thinking multidisciplinary consultancy firm based in Newcastle Upon Tyne focussed on providing Geoenvironmental and Geotechnical services in the North East of England and across the UK.

They pride themselves on working closely with their clients and regulators, delivering assessment and mitigation of potential Geoenvironmental risks. Their capability extends to contaminated land investigation and remediation, geotechnical design and assessment.

Due to continued expansion the company is looking to recruit a Graduate Geotechnical/Geoenvironmental Engineer with an understanding of ground investigations, geotechnical design and/or contaminated land risk assessment.

JOB DESCRIPTION

You will be supporting the existing team both on site and in the office and will primarily involve you;

  • Undertaking site visits

  • Carrying out Desk Study searches and reports

  • Undertaking/supervising site investigations/insitu testing

  • Compiling reports on contaminated land and geotechnical issues both quantitative and qualitative.

    REQUIRED

  • 0-3 year of experience within the industry

    QUALIFICATIONS

  • Minimum BSc in a Geological, Geoenvironmental or Geotechnical related discipline

  • A full UK driving license

    PERSON PROFILE

  • Excellent written and oral communication skills- to write reports and to liaise with clients and regulators.

  • Enthusiasm- to approach each and every job in an upbeat manner.

  • Teamwork- to work as part of a team to deliver complex projects.

  • Happy to work outdoors.

  • Desire to develop and grow within the company.

  • Ideally needs to live within 30 minutes' drive from our office based in Newcastle upon Tyne.

    The employer fully supports Equality in Employment. All employment is decided based on qualifications, merit and business need.

    The employer fully supports Equality in Employment. All employment is decided based on qualifications, merit and business need

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

Jobs

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

Education

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.