Structured Cabling Data Engineer

NG Bailey
London
4 weeks ago
Applications closed

Related Jobs

View all jobs

Junior IT Support Engineer & Data Analyst

Contract Data Engineer (Azure) - Agile IT Team

Senior Data Engineer - Azure, BI & Data Strategy

Data Engineer

Data Engineer

DATA ANALYST / BI ANALYST (POWER BI) – North West London

Structured Cabling Data Engineer

Cyprus

Permanent, Full Time

Summary

NG Bailey IT Services are currently recruiting a Data Engineer / Managed Services Engineer with experience in both structured and voice cabling to support our contract covering our MOD contract in Cyprus responding to break fix / faults and minor projects across the portfolio.

The Data Engineer will have experience of installation and fault finding of Structured and Voice Cabling systems and preferably hold the CNCI (Certified Network Cable Installer) qualification. You will be responsible for responding to any of our managed service contract break fix requests as per the contract SLA's.  It will be desirable to have experience as a service engineer of Electronic IP Security Systems.

This position works in an MOD area where SC Security Clearance (DV Clearance Desirable) is required therefore current or previous Security Clearance is preferred.  If you do not have security clearance, this will be requested at offer stage and a condition of employment.

This role is based in Cyprus, therefore initial transportation costs and removals will be provided.  

Some of the key deliverables in this role will include:

  • Monitor the quality and productivity against programme and maintain daily site records and reports
  • Ensuring design and installation meets internal and client specifications and statutory requirements
  • Locate and rectify faults on structured cabling systems
  • Work from construction drawings

What we’re looking for: 

  • Driving Licence
  • UKATA (CAT A) Asbestos Awareness - Desirable
  • Manual Handling 
  • Working at Height
  • DV Security Clearance (Preferred - Clearance will be required following offer stage)
  • Knowledge of MOD Standards
  • IOSH Working Safely - Desirable
  • PASMA/IPAF - Desirable
  • Certified Network Cable Installer (CNCI) - Desirable
  • Accreditation NACCOSS – NSI Certification - Desirable 

Benefits:

  • Overseas Allowance
  • Company provided vehicle.
  • 25 days holiday
  • Transfer Grant & Removal Costs
  • Transportation to Cyprus for staff and dependants
  • Private Medical Insurance for yourself and dependants If also relocating
  • Free 24/7 365 Employee Assistance Program to support mental health and wellbeing (including counselling sessions and legal advice)
  • Personal development programme

About UsWe are one of the leading independent engineering and services businesses in the UK. Founded in 1921, with a turnover of £500m and 3000 employees, we are proud of our history of developing great people through our investment in training.You will be working as part of a team, we are committed to creating a culture where we treat each other fairly and with respect, recognising everyone as an individual.Progression is something we value and we will make sure that when you join us you have a clearly defined development path, supported by regular reviews, training and ongoing support to enable you to be the best you can be.Fair Processing Notices for Cifas' DatabasesThe personal information we have collected from you will be shared with Cifas who will use it to prevent fraud, other unlawful or dishonest conduct, malpractice, and other seriously improper conduct. If any of these are detected you could be refused certain services or employment. Your personal information will also be used to verify your identity. Further details of how your information will be used by us and Cifas, and your data protection rights, can be found by [https://fpn].

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.

Products

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

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science 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.

Jobs

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

Careers

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

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

🍪 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.