Data Engineers - Glasgow City Centre (nightshift)

Boyd Recruitment
Glasgow, City of Glasgow, G2 1AL, United Kingdom
3 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer DV Cleared

Datatech London, United Kingdom

Data Engineer

Experis Telford, Shropshire, SY2 5TN, United Kingdom
£430 – £483 pd

SAS Data Engineer

Deerfoot Recruitment Solutions Telford, Shropshire, SY2 5TN, United Kingdom
£50,000 – £70,000 pa

Data Manager

Randstad Technologies Recruitment Manchester, United Kingdom
£45 – £55 ph

Data Engineer

Damia Group Telford, Shropshire, SY2 5TN, United Kingdom
£400 – £500 pd

Data Engineer

Akkodis Oxfordshire, United Kingdom
£55,000 – £60,000 pa
Posted
3 Feb 2026 (3 months ago)

Boyd Recruitment are currently recruiting Data Engineers on behalf of our client for work in Glasgow City Centre on a nightshift 

Requirements : 

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

Must be able to cable, work to drawings and terminating cat 6 and cat 6a to a decent standard

Shift Details : 

£22 - £24 per hour (DOE) 

Nightshift 7pm-5am

Requirements:

CSCS Grade Card.

Customer-focused with a proactive approach.

Right to work in UK 

Must pass drug & alcohol test 

Must pass disclosure 

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)

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.

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

Advertising data engineering jobs in the UK requires a different approach to most technical hiring. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering 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.

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.

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

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.