Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineer (Cabling)

NG Bailey
Redhill
3 weeks ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

13 February 2025

Permanent

London / Home Counties / Bristol (number of roles across London, Home Counties and Bristol - with travel to client sites)

Summary

We are looking for several Data Engineers (Cabling) to join our expanding team. In this role, you will take the lead in conducting surveys, installing copper and fibre cabling, containment, termination, testing, labelling and documentation for structured cabling systems and related technologies (such as Wi-Fi Access Points and Smart Hands services, including racking, stacking equipment, and comms cab remediations). You will primarily work alongside our Assistant Data Engineers and Apprentices in pairs and as a part of a wider national team.

This is a terrific opportunity to expand your career in the structured cabling field, where you will have the chance to work with a variety of technologies, including copper and fibre cabling, Wi-Fi Access Points, and Smart Hands services. You will play a crucial role in delivering high-quality installations and ensuring that the systems are rigorously tested and documented. As an experienced engineer, you and your team will be responsible for guiding and mentoring your Assistant Data Engineers and Apprentices, ensuring that projects are completed efficiently, and adhering to industry standards.

Key Deliverables

  • Demonstrate appropriate Health and Safety leadership to ensure that the safety first and foremost message is visible and alive throughout any activities carried out.
  • Ensure adherence to all NG Bailey’s policies, processes and procedures.
  • Ensure, under direction, all works comply with NG Bailey IT Services (ITS) Company standards and meet/exceed client expectations, as well as the requirements to meet/exceed international standards and manufacturers installation guideline systems.
  • Provide leadership for the Trainees, Assistant Data Engineers and Apprentices to maximise the potential of the team and the individuals within.
  • Ensure material control and maintain records of deliveries and project stock.
  • Ensure provision of timely and accurate internal and customer project reporting (timesheets, mileage returns, daily reports, completion certificates).
  • Monitor the quality and productivity against the programme and maintain daily site records and reports.
  • Ensure that positive relationships are maintained with the customer through efficient delivery of projects with a view to optimising future opportunities and profitability.
  • Ensure design and installation meets internal and client specifications and statutory requirements.

What We’re Looking For

  • Previous installation experience of Structured Cabling Systems.
  • Proven knowledge of Voice Cabling Systems.
  • Fully conversant with the setup and operation of Fluke Analysers.
  • Ability to locate and rectify faults on structured cabling systems and standalone Voice Systems.
  • Ability to work from construction drawings.
  • Able to work alone and as part of a team.
  • Able to use initiative and apply a forward-thinking mindset.
  • Demonstrate the ability to interface with customers with a professional and informative approach.
  • Willing to travel and be flexible to meet the needs of our customers.

Additional Requirements

  • Security Clearance (will be conducted by NG Bailey vetting team when onboarding).
  • Full UK Driving Licence.

Ideal Qualifications

  • Health and Safety Training such as First Aid at Work.
  • ECS/CSCS Card.
  • Working at Height.
  • IPAF.

Benefits

  • 25 Days Holiday + Bank Holidays with an option to Buy/Sell additional days.
  • Pension with a leading provider and up to 8% employer contribution.
  • Personal Wellbeing and Volunteer Days.
  • Private Medical Insurance.
  • Life Assurance.
  • Free 24/7 365 Employee Assistance Program to support mental health and well-being (including counselling sessions and legal advice).
  • Flexible benefits to choose from including Dental Insurance, Gym Membership, Give As You Earn, Travel Insurance, Tax Free Bikes.

Next Steps

As a business, we’re on a journey to build on our culture where everyone is included, treated fairly and with respect. This starts with recruitment and how we bring people into the organisation.

We’ll do our best to outline the recruitment process to you ahead of time with plenty of notice. If you require any accommodations to participate in the application or interview process, please let us know and we will work with you to ensure your needs are met.

About Us

We 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.

Working across a variety of sectors within the building and infrastructure industry, our innovative, responsible and forward-thinking approach allows us to work on fantastic ground-breaking projects, providing solutions using the latest tools and technologies.

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.


#J-18808-Ljbffr

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.