IT and Web Engineer

Taunton
3 weeks ago
Applications closed

Related Jobs

View all jobs

Infrastructure Engineer

Sr. Data Engineer - Professional Services

Machine Learning Data Engineer (Basé à London)

Head of Development - Fintech SaaS. Full Remote

Head of Development - Fintech SaaS. Full Remote

Head of Development - Fintech SaaS. Full Remote

Our client is a well-established organisation based in Taunton, and we are supporting their recruitment for an IT and Web Engineer. This is a full-time, permanent role offering great opportunities!

This role will be busy, providing advanced support for users regarding hardware, software, and networking issues, and collaborating with other teams to support back-end web services within the business.

Key duties will include;
IT Services:

Provide advanced support to users for hardware, software, and networking issues.
Configure, manage, and troubleshoot networking environments, including Active Directory, Azure, Office 365, network services, Windows Server administration, and VMware and Azure HCI Stack administration.
Maintain IT systems in schools, ensuring secure and reliable access to IT services at all locations.
Support and maintain IT hardware, including desktops, laptops, and audiovisual (AV) equipment.
Provide backup support for AV requirements.
Web Services:

Manage and maintain internal and external back-end web services for secure functionality.
Collaborate with contractors to update, fix bugs, and enhance the content management system.
Administer web servers and manage security configurations and SSL certificates.
Support web applications with database management to ensure data integrity.
Set up API integrations between internal and external services with external partners.
Additional Responsibilities:

Develop internal applications with tools like Microsoft PowerApps and SharePoint to automate workflows and enhance user experience.
Assist in integrating new technologies to improve the IT infrastructure.
Provide training and guidance to staff on IT and web systems.
Document processes and maintain technical records for consistency in support efforts.
Qualifications/Experience
A strong background in IT services, ideally to degree level or equivalent, must have GCSE English and Maths (grades A*-C) or equivalent
Proficiency in Microsoft networking technologies and web development/integration/hosting tools.
Experience providing IT support to end users with varying levels of ability, both in person and remotely.
Ability and experience of prioritising issues and problems
Experience in installing, troubleshooting and maintaining a wide range of Windows & Mac devices and peripherals.
Ability to prioritise and organise work effectively, work to strict deadlines and remain calm under pressure
Ability to resolve complex problems using your own initiative
Desirable:
IT experience at technician (2nd or 3rd line) level.
Experience of providing IT support in an education environment.
Experience working with education-based systems (including MIS/CMS information systems)
Website management

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.