Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Installation Technician, Desktop Support, Desktop Technician

Dundee
1 month ago
Applications closed

Related Jobs

View all jobs

Metering, BMS & Data Compliance Engineer

DATA ENGINEERS (DATA CENTRE FIBE INSTAL)

Data Engineers - East Scotland

ArcSight Data Engineer (DV Security Clearance)

Metering Data Analyst

Data Analyst

We're Hiring: Installation Technicians (Desktop Hardware)
Location: Dundee
Job Type: Contract - £100-£120/day Inside IR35
Shift Patterns: Variable, as per business requirements

Are you hands-on, detail-oriented, and looking for a role that gets you into the heart of IT operations?

Join our team as an Installation Technician and help deliver essential desktop hardware installation services to support our service delivery solutions.

💼 About the Role

As an Installation Technician, you'll be responsible for installing desktop hardware in a variety of environments. You'll unbox and set up devices at workstations, connect power and network cables, attach peripherals, and run basic tests to ensure everything is up and running smoothly. Your role is crucial in supporting IT build processes and ensuring a seamless experience for end users.

🛠 Key Responsibilities:

Unbox, position, and install desktop hardware at user desks

Connect power, network, and peripheral cables

Perform basic power-on self-tests (POST)

Initiate automated builds and perform basic scripted post-login configuration

Maintain accurate records of installations and any issues encountered

Follow site-specific procedures and safety guidelines

Work flexible hours or shifts as business needs dictate

✅ What We're Looking For:

Basic technical knowledge of desktop PCs and peripheral setup

Ability to follow detailed installation instructions and checklists

Comfortable working in active, user-focused environments

Strong attention to detail and a problem-solving mindset

Good communication and team collaboration skills

Willingness to work variable shift patterns, including evenings or weekends if required

People Source Consulting Ltd is acting as an Employment Business in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas

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.

The Future of Data Science Jobs: Careers That Don’t Exist Yet

Data science has rapidly become one of the most influential disciplines of the digital age. Once a niche combination of statistics and computing, it is now central to how organisations innovate, compete, and grow. From healthcare and finance to retail, logistics, and government, data science is reshaping decision-making across every sector. In the UK, data science has grown into a core career pathway. Salaries are competitive, demand continues to rise, and roles now extend far beyond analytics into artificial intelligence, machine learning, and predictive modelling. Yet as technologies evolve, many of the most important data science careers of the future don’t exist today. This article explores why entirely new roles will emerge, the kinds of careers that may appear, how existing jobs will evolve, why the UK is well placed to lead, and what professionals can do to prepare for this transformation.

Seasonal Hiring Peaks for Data Science Jobs: The Best Months to Apply & Why

The UK's data science sector has matured into one of Europe's most intellectually rewarding and financially attractive technology markets, with roles spanning from junior data analysts to principal data scientists and heads of artificial intelligence. With data science positions commanding salaries from £30,000 for graduate data analysts to £140,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this intellectually stimulating and rapidly evolving field. Unlike traditional analytical roles, data science hiring follows distinct patterns influenced by business intelligence cycles, research funding schedules, and machine learning project timelines. The sector's unique combination of mathematical rigour, business impact requirements, and cutting-edge technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in extracting insights from tomorrow's data. This comprehensive guide explores the optimal timing for data science job applications in the UK, examining how enterprise analytics strategies, academic research cycles, and artificial intelligence initiatives influence recruitment patterns, and why strategic timing can determine whether you join a pioneering AI research team or miss the opportunity to develop the next generation of intelligent systems.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.