Data Cabling Engineer

Manchester
9 months ago
Applications closed

Related Jobs

View all jobs

Data Engineers

Data Engineer

Data Engineer

Senior Data Engineer

Data Engineer (AWS)

Cloud Database Administrator

Overview

Sudlows work throughout the UK, have a growing portfolio of clients globally. We have over 200 staff and have achieved recent growth with ongoing expansion plans. We are an equal opportunities employer and value diversity in our workforce. Within our Enterprise Services division we have an exciting career opportunity for an experienced data cabling engineer. We are looking for someone based in Manchester.

Role Purpose

Our Enterprise Services Division creates high performance unified business infrastructures and reliable network projects to ensure that the most forward-looking, well-prepared businesses are building environments for the future. Enterprise Services comprises of the following areas; Connectivity, Electrical and Fibre.

Our Enterprise Services include;

  • Structured Cabling Systems

  • Blown Fibre/Conventional Fibre

  • Electrical solutions

  • Retail Operations Support

  • Wi-Fi Connectivity

    Personal Specification

    The successful candidate will be a valued member of one of our most successful departments. We are currently looking to grow our business and this role is a key part to this vision.

    Sudlows are dedicated to giving our clients professional service with the very best support and high standards of work, we are seeking data engineers with good communication skills, who work to high standards and are willing to work flexible hours, including weekends, to join our team

    We are looking for a number of experienced data cabling engineers who have a good knowledge and experience of data network cabling Cat 5e/6/6a, CW1308 along with containment systems is preferable. Experience in installing, terminating and testing conventional and blown fibre systems is essential.

    Must be polite, friendly with an enthusiasm to learn and develop new skills.

    Vacancy Summary

    We offer a competitive package commensurate with qualifications and experience to the right candidate including professional training and long-term career development opportunities.

    Type: Permanent
    Location: Manchester
    Rate: To be negotiated dependent on experience

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.

Data Engineering Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data engineering in your 30s, 40s or 50s? You’re not alone. In the UK, companies of all sizes — from fintechs to government agencies, retailers to healthcare providers — are building data teams to turn vast amounts of information into insight and value. That means demand for data engineering talent remains strong, but there’s a gap between media hype and the real pathways available to mid-career professionals. This guide gives you the straight UK reality check: which data engineering roles are genuinely open to career switchers, what skills employers actually look for, how long retraining really takes and how to position your experience for success.

How to Write a Data Engineering Job Ad That Attracts the Right People

Data engineering is the backbone of modern data-driven organisations. From analytics and machine learning to business intelligence and real-time platforms, data engineers build the pipelines, platforms and infrastructure that make data usable at scale. Yet many employers struggle to attract the right data engineering candidates. Job adverts often generate high application volumes, but few applicants have the practical skills needed to build and maintain production-grade data systems. At the same time, experienced data engineers skip over adverts that feel vague, unrealistic or misaligned with real-world data engineering work. In most cases, the issue is not a shortage of talent — it is the quality and clarity of the job advert. Data engineers are pragmatic, technically rigorous and highly selective. A poorly written job ad signals immature data practices and unclear expectations. A well-written one signals strong engineering culture and serious intent. This guide explains how to write a data engineering job ad that attracts the right people, improves applicant quality and positions your organisation as a credible data employer.

Maths for Data Engineering Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for data engineering jobs in the UK, maths can feel like a vague requirement hiding behind phrases like “strong analytical skills”, “performance mindset” or “ability to reason about systems”. Most of the time, hiring managers are not looking for advanced theory. They want confidence with the handful of maths topics that show up in real pipelines: Rates, units & estimation (throughput, cost, latency, storage growth) Statistics for data quality & observability (distributions, percentiles, outliers, variance) Probability for streaming, sampling & approximate results (sketches like HyperLogLog++ & the logic behind false positives) Discrete maths for DAGs, partitioning & systems thinking (graphs, complexity, hashing) Optimisation intuition for SQL plans & Spark performance (joins, shuffles, partition strategy, “what is the bottleneck”) This article is written for UK job seekers targeting roles like Data Engineer, Analytics Engineer, Platform Data Engineer, Data Warehouse Engineer, Streaming Data Engineer or DataOps Engineer.