SSSTS Data Engineer Supervisor

North Acton
2 weeks ago
Create job alert

Job Title: SSSTS Data Engineer Supervisor

Location: London & Abu Dhabi
Project Duration: 3 Months
Employment Type: Contract

Job Overview:

We are seeking an experienced SSSTS Data Engineer Supervisor to lead a team in a high-profile data centre fit-out project. The role will be hands-on, ensuring the installation, termination, and commissioning of structured cabling (CAT5, fibre optics), switches, and other critical network infrastructure. The successful candidate will oversee a team of data engineers while coordinating with four other supervisors to ensure efficient project delivery.

Key Responsibilities:



Supervise and manage a team of data engineers during the installation and fit-out of structured cabling and network hardware in white space environments.

*

Ensure compliance with health and safety regulations, adhering to SSSTS (Site Supervisor Safety Training Scheme) standards.

*

Oversee the installation, termination, and testing of CAT5, CAT6, fibre optic cabling, and network switches.

*

Coordinate with other supervisors and project managers to maintain workflow efficiency and resolve on-site challenges.

*

Conduct daily toolbox talks and ensure adherence to site-specific safety requirements.

*

Provide technical support and hands-on assistance where required.

*

Ensure all work is completed to industry standards and project specifications.

*

Maintain accurate documentation and reporting for project progress and issue resolution.

Requirements:

*

SSSTS (Site Supervisor Safety Training Scheme) certification.

*

Extensive hands-on experience with structured cabling, network infrastructure, and white space data centre fit-outs.

*

Strong leadership and team management skills with experience supervising teams of engineers.

*

Proficiency in the installation, termination, and testing of CAT5, CAT6, and fibre optic cabling.

*

Experience with network switches, patching, and connectivity.

*

Strong understanding of data centre safety protocols and industry standards.

*

Willingness to travel between London and Abu Dhabi for the project duration.

*

Excellent problem-solving and communication skills.

Preferred Qualifications:

*

Additional safety certifications (e.g., ECS, CSCS, IPAF, First Aid at Work).

*

Manufacturer certifications for structured cabling or fibre optics.

*

Experience working in live data centre environments.

This is an exciting opportunity for a skilled Data Engineer Supervisor to work on a large-scale international project. If you meet the above criteria and are ready for a challenging yet rewarding role, apply now

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.

Quantexa Machine‑Learning Jobs in 2025: Your Complete UK Guide to Joining the Decision‑Intelligence Revolution

Money‑laundering rings, sanctioned entities, synthetic identities—complex risks hide in plain sight inside data. Quantexa, a London‑born scale‑up now valued at US $2.2 bn (Series F, August 2024), solves that problem with contextual decision‑intelligence (DI): graph analytics, entity resolution and machine learning stitched into a single platform. Banks, insurers, telecoms and governments from HSBC to HMRC use Quantexa to spot fraud, combat financial crime and optimise customer engagement. With the launch of Quantexa AI Studio in February 2025—bringing generative AI co‑pilots and large‑scale Graph Neural Networks (GNNs) to the platform—the company is hiring at record pace. The Quantexa careers portal lists 450+ open roles worldwide, over 220 in the UK across data science, software engineering, ML Ops and client delivery. Whether you are a graduate data scientist fluent in Python, a Scala veteran who loves Spark or a solutions architect who can turn messy data into knowledge graphs, this guide explains how to land a Quantexa machine‑learning job in 2025.

Machine Learning vs. Deep Learning vs. MLOps Jobs: Which Path Should You Choose?

Machine Learning (ML) continues to transform how businesses operate, from personalised product recommendations to automated fraud detection. As ML adoption accelerates in nearly every industry—finance, healthcare, retail, automotive, and beyond—the demand for professionals with specialised ML skills is surging. Yet as you browse Machine Learning jobs on www.machinelearningjobs.co.uk, you may encounter multiple sub-disciplines, such as Deep Learning and MLOps. Each of these fields offers unique challenges, requires a distinct skill set, and can lead to a rewarding career path. So how do Machine Learning, Deep Learning, and MLOps differ? And which area best aligns with your talents and aspirations? This comprehensive guide will define each field, highlight overlaps and differences, discuss salary ranges and typical responsibilities, and explore real-world examples. By the end, you’ll have a clearer vision of which career track suits you—whether you prefer building foundational ML models, pushing the boundaries of neural network performance, or orchestrating robust ML pipelines at scale.

Machine Learning Programming Languages for Job Seekers: Which Should You Learn First to Launch Your ML Career?

Machine learning has swiftly become a cornerstone of modern technology, transforming entire industries—healthcare, finance, e-commerce, and beyond. As a result, demand for machine learning engineers, data scientists, and ML researchers continues to surge, creating a rich landscape of opportunity for job seekers. But if you’re new to the field—or even an experienced developer aiming to transition—the question arises: Which programming language should you learn first for a successful machine learning career? From Python and R to Scala, Java, C++, and Julia, the array of choices can feel overwhelming. Each language boasts its own community, tooling ecosystem, and industry use cases. This detailed guide, crafted for www.machinelearningjobs.co.uk, will help you align your learning path with in-demand machine learning roles. We’ll delve into the pros, cons, and ideal use cases for each language, offer a simple starter project to solidify your skills, and provide tips for leveraging the ML community and job market. By the end, you’ll have the insights you need to confidently pick a language that catapults your machine learning career to new heights.