Assistant Data Engineer (Structured Cabling)

NG Bailey
London
1 week ago
Create job alert

Assistant Data Engineer (Structured Cabling)

14 February 2025

Assistant Data Engineer (Structured Cabling)

Permanent

London and the Home Counties – with travel to client site

Summary

We are looking for several Assistant Data Engineers (Structured Cabling) to join our expanding team. In this role, you will be supported by a lead Senior/ Data Engineer as your team conducts surveys, installs copper and fibre cabling, containment, termination, testing, labelling, and documents 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 a lead Senior/ Data Engineer in pairs and as part of a wider national team.

This is a terrific opportunity to start 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. Under the tutelage of the Senior/ Data Engineer, your team will play a crucial role in delivering high-quality installations and ensuring that the systems are rigorously tested and documented. As a junior engineer, you and your fellow Assistant Data Engineers and Apprentices will be responsible for conducting all Structured Cabling related tasks under the guidance of your Senior/ Data Engineer as you ensure that projects are completed efficiently and adhere to industry standards.

Some of the key deliverables will include:

  1. Follow all NG Bailey Health and Safety procedures, processes as detailed on the Health and Safety Management system under the direction of the Lead Data Engineer. Ensure all safety training required for the role is in date.
  2. Ensure adherence to all NG Bailey’s policies, processes, and procedures.
  3. Ensure under direction, all works comply with NG Bailey IT Services (ITS) Company standards and meet and exceed client expectations, as well as the requirements to meet/exceed international standards and manufacturers installation guideline systems.
  4. Carry out all works as instructed safely to meet quality and productivity against programmes.
  5. To always portray a professional image. To ensure the highest levels of customer service in line with NG Bailey values.
  6. Ensure timely completion of all required documentation, i.e., time sheets.

What we’re looking for:

  1. Able to work as part of a team and follow through instructions.
  2. Able to use initiative and apply a forward-thinking mindset.
  3. Proven ability to interface with customers with a professional and informative approach.
  4. Willing to travel and be flexible to meet the needs of our customers.
  5. Keen to learn with a positive, can-do attitude.

Please note:

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

It would be ideal if you had any of the following:

  1. Health and Safety Training such as First Aid at Work.
  2. ECS/ CSCS Card.
  3. Working at Height.
  4. IPAF.

Benefits include:

  1. 25 Days Holiday + Bank Holidays with an option to Buy/Sell additional days.
  2. Pension with a leading provider and up to 8% employer contribution.
  3. Personal Wellbeing and Volunteer Days.
  4. Private Medical Insurance.
  5. Life Assurance.
  6. Free 24/7 365 Employee Assistance Program to support mental health and well-being (including counselling sessions and legal advice).
  7. Flexible benefits to choose from inc: 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

Related Jobs

View all jobs

Senior R&D Software and Data Engineer

Assistant Manager, Data & Technology

Genetics Manager

Genetics Manager

Genetics Manager

Genetics Manager

Get the latest insights and jobs direct. Sign up for our newsletter.

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 Leadership for Managers: Strategies to Motivate, Mentor, and Set Realistic Goals in Data-Driven Teams

Machine learning (ML) has become an indispensable force in the modern business world, influencing everything from targeted marketing campaigns to advanced medical diagnostics. As industries integrate predictive algorithms and data-driven decision-making into their core operations, the need for effective leadership in machine learning environments has never been greater. Whether you’re overseeing a small team of data scientists or spearheading an enterprise-scale ML project, your leadership style must accommodate rapid innovation, complex problem-solving, and diverse stakeholder expectations. This guide provides actionable insights into how you can motivate, mentor, and establish achievable goals for your machine learning teams—ensuring they thrive in data-driven environments.

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.