Civil Design Engineer

Acklam
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Geo-environmental Engineer

Enterprise Data Architect London, Agile (Basé à London)

Project Controller

Data Architecture Lead

Data Science Consultant - Customer Data Modelling

Data Analytics & Data Science Lead

Civil Design Engineer

The successful candidates must possess demonstrable civil engineering design experience. This position allows for some agile working, with up to 1-2 days working from home, and the rest in the Northeast offices.

Our Client

Our client is responsible for the construction, maintenance, upkeep, renewal, refurbishment and repair of electricity transmission and distribution networks, assets and systems. This includes sub-stations, overhead lines, underground cables, and all associated equipment, as well as renewable energy sources (wind, BESS, solar etc).

Overview

Our client now wishes to appoint a Civil Design Engineer. The main purpose of this role will be to take responsibility for managing the development and production of highly competitive and innovative civil engineering designs for multiple contracts, frameworks or singular projects, ensuring maximum opportunity and minimum risk, and that stakeholders receive a high-quality service, on schedule and to challenging budget requirements. The successful candidate will also contribute to general technical support activities, ensuring successful project assistance at the front-end stages and timely handover to operations, through to offering guidance and advice during the construction stage if required.

The Role

  • Preparation of civil engineering designs for a wide variety of electrical networks and systems projects, including renewable energy applications (wind, BESS, solar etc)

  • Providing designs for a variety of works and turnkey projects, covering all disciplines

  • Liaising with manufacturers and suppliers to develop partnerships for design solutions

  • Following up designs and offering feedback, advice or guidance as required

  • Attend site surveys, route walks and other meetings if necessary

  • Establishing key aspects associated with project, providing designs, liaising with internal departments and submitting final project capabilities

  • Evaluate supplier and subcontract returns to ensure compliance with specifications and documentation

  • Accurately undertake any necessary take-offs of drawings and schedules

  • Follow all company procedures for enquiries and design handling

  • Draft commentary regarding exclusions and clarifications associated with designs

  • Working with relevant business systems to maintain data integrity

  • Assist in the creation and management of processes for projects teams

  • Managing key stakeholder requests in a professional and timely manner

    The Person

  • Preferably possessing an HNC in a relevant discipline, the successful candidates must possess relevant demonstrable design experience and technical expertise

  • Possess strong commercial and business awareness to enable you to identify and recommend appropriate design proposals that meet customer needs

  • Highly motivated and accurate, as attention to detail is vital

  • Proficient in the use of industry related designs software across multiple platforms

  • Excellent communication skills, including the ability to adapt your style to both technical and non-technical audiences

  • Utilise information and industry knowledge to produce innovative design solutions

  • Strong interpersonal skills with a demonstrated ability to use your own initiative as well as working collaboratively in a team

  • Ability to produce high quality designs and associated reports with minimal supervision

  • Possess design and build experience, as well as refurbishment and maintenance expertise, and with the ability to evaluate design scope gaps

    A highly attractive remuneration package is on offer for the successful candidate, coupled with career progression, along with challenging variety, security and longevity of work

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.

Jobs

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Jobs Careers

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Jobs

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.

🍪 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.