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

View Open Roles

Data Engineers - East Scotland

Edinburgh
5 days ago
Create job alert

Boyd Recruitment are currently recruiting Data Engineers on behalf of our client for work in the Eastcoast of Scotland. 

The work will consist of installation of Fibre, Voice, and Data cabling across various environments, including Commercial, Government, Education, Healthcare, and Listed Buildings.

Locations: 

Dundee - City Centre 

St Andrews 

Edinburgh - City Centre 

Pay Details: 

£20.00 per hour (37.5 hours per week) 

£26.66 per hour Overtime during the week 

£30.00 per hour Overtime on Saturday 

Key Responsibilities:

Install, terminate, and test Category 6 and Category 6a structured cabling systems (shielded and unshielded) to manufacturer specifications.

Test structured cabling systems using Fluke DSX network testers.

Install, terminate, and test multimode and single-mode fibre cables, using fusion splicing and Fluke DSX Light Loss Fibre modules.

Install and maintain voice cabling systems.

Install communications cabinets (wall-mounted, floor-mounted, and flat-pack assemblies).

Install various containment systems, including cable tray, basket tray, PVC/metal trunking, PVC conduit, and cable matting.

Use Microsoft Outlook, Excel, Word, Fluke LinkWare & LinkWare Live software.

Requirements:

NVQ or SVQ in Structured Cabling / Telecommunications.

CSCS Grade Card.

Customer-focused with a proactive approach.

Right to work in UK 

Start Date: 

Immediate 

Interested? 

If you would like to find out more about the role, please contact me on:

· Email – (url removed)

· Text / Call - (phone number removed)

Related Jobs

View all jobs

DATA ENGINEERS (DATA CENTRE FIBE INSTAL)

Data Engineers - East Scotland

Data Engineers needed in Houses of Parliament

Sr. Data Engineers to work with data from across the spectrum of healthcare domains, refining requirements with customers, developing data models, extracting data from various source systems and database formats

Data Engineer

Data Engineer

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.