Apprentice IT Helpdesk Analyst

CV-Library

Milton Keynes, Buckinghamshire

12 months ago

Applications closed

Posted: 24 Apr 2025 (12 months ago)

Save job

Create job alert

Applications closed

Our client has an exciting opportunity for an Apprentice IT Helpdesk Analyst to assist with the smooth running of business systems by supporting day to day issues raised through their help desk. There will also be lots of projects and upgrades to get involved in!

Duties and responsibilities:

• Providing 1st line support for IT infrastructure and systems

• Responding to help desk tickets

• Testing of development and upgrades

• Report creation and maintenance

• Carry out routine tasks as assigned

Required skills and experience:

• Keen interest in IT

• Team player

• Windows 10 or 11, Word, Excel

Desirable:

Any knowledge/experience of the following:

• SQL Databases, HTML, CSS, PowerShell, Jira, ODBC Reporting, ERP or warehouse systems, AWS, Active Directory, Exchange, Window Server 2016 or above, Virtualisation, Basic understanding of networking

• Providing a service to others

They will support you through a recognised Apprenticeship in conjunction with the local college so join their IT team and experience a genuinely happy and collaborative working environment where your ideas are heard, your contributions matter, and your growth is supported.

Due to the large number of responses we receive it is not always possible to respond to every application straight away. Should your skills and experience be a match for this role, or any other vacancy we may have, we will normally contact you within 72 hours of receiving your application. If you wish to apply for further roles please do so

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

Industry Insights

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

Apr 9, 2026

Products

Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Advertising data engineering jobs in the UK requires a different approach to most technical hiring. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Mar 24, 2026

Jobs

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.

Feb 10, 2026

Careers

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.