IT Technician

Shaftesbury
8 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst Training Course (Excel, SQL & Power BI)

IT Specialist - Enterprise Data Governance

Data Engineer (Automation)

Principal Data Engineer (GCP)

Lead Data Engineer

Senior Data Engineer

IT Technician
Shaftesbury - On-site
£28,000 - £33,000 + Training + Holiday + Pension

This is an excellent opportunity for an IT Support/Technician to join a well-established manufacturer renowned for its high-quality products, where you will play a key part in day-to-day IT operations.

This company is a market-leading manufacturer and is well-established within the FMCG industry, distributing their high-end products nationwide. Operating across 3 UK sites, they are committed to using the latest manufacturing technology to maintain their consistent high quality.

In this varied role, you'll provide first-line IT support for hardware and software, including setting up new equipment and users. You'll be responsible for system security, resolving internal IT issues, and escalating any further problems to external support. This also involves monthly system maintenance and planned preventative maintenance (PPM) on factory equipment.

The ideal candidate will have good experience with O365 applications and Microsoft Windows desktop, along with knowledge of Microsoft SQL Server. You must also have at least one year of experience in commercial IT support and/or development. Although not essential, it would be highly desirable to have direct experience with Epicor (ERP System), and any knowledge in mapping networks and VLANs with proficiency with VMware and virtual servers would be beneficial.

This is a fantastic opportunity for an IT Technician or 1st Line Support Engineer to learn and develop their skills at a market-leading manufacturer.

The Role:

Provide 1st Line IT support for hardware and software, including new setups.
Maintain system security, resolve internal IT issues, and escalate as needed.
Conduct monthly system maintenance checks.
5 Days onsite.
The Person:

Experience with O365, Windows desktop support.
Knowledge of Microsoft SQL Server.
Minimum of 1 year experience in a relevant role (IT support, IT Technician, 1st Line)
Desirable to have previous experience with Epicor ERP, network/VLAN mapping and VMware/virtual servers.
Reference Number: BBBH(phone number removed)

To apply for this role or for to be considered for further roles, please click "Apply Now" or contact Tom McLaughlin at Rise Technical Recruitment

This vacancy is being advertised by Rise Technical Recruitment Ltd. The services of Rise Technical Recruitment Ltd are that of an Employment Agency

Rise Technical Recruitment Ltd regrets to inform that our client can only accept applications from engineering candidates who have a valid legal permit or right to work in the United Kingdom. Potential candidates who do not have this right or permit, or are pending an application to obtain this right or permit should not apply as your details will not be processed

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.

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

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.

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

If you’re applying for data engineering jobs in the UK, the first thing to understand is this: Hiring managers don’t read every word of your CV. They scan it. They look for signals of relevance, credibility, delivery and collaboration — and if they don’t see the right signals quickly, your application may never get a second look. In data engineering, hiring managers are especially focused on whether you can build and operate reliable, scalable data systems, handle real-world data challenges and work effectively with analytics, BI, data science and engineering teams. This guide breaks down exactly what they look at first in your application — and how to shape your CV, portfolio and cover letter so you stand out.

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

Data engineering has quietly become one of the most critical roles in the modern technology stack. While data science and AI often receive the spotlight, data engineers are the professionals who design, build and maintain the systems that make data usable at scale. Across the UK, demand for data engineers continues to rise. Organisations in finance, retail, healthcare, government, media and technology all report difficulty hiring candidates with the right skills. Salaries remain strong, and experienced professionals are in short supply. Yet despite this demand, many graduates with degrees in computer science, data science or related disciplines struggle to secure data engineering roles. The reason is not academic ability. It is a persistent skills gap between university education and real-world data engineering work. This article explores that gap in depth: what universities teach well, what they consistently miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data engineering.