Data Centre Engineer

London
3 weeks ago
Create job alert

Position Summary
The Data Centre team is responsible for operational excellence across all Claranet UK Data Centres, including installation and support of Claranet and customer equipment, mechanical and electrical facilities management and security.

This extremely customer focussed team is split between London and Bristol, providing critical on-site support to customers and the business around the clock.
Our Data Engineers are responsible for the lifecycle of all managed hardware hosted within Claranet UK Data Centres, remote assistance for colocation customers and supporting facility operations to ensure maximum uptime.

Role Mission
Claranet’s strategy is to build long-term, trusted relationships with its customers by delivering market-leading, integrated managed services. Our portfolio platforms, infrastructure and data centres are critical to our strategy and ensuring our customers have access 247365. We are seeking a Data Centre Engineer who will be a key contributor to create stable and reliable platforms and ensure that technologies and services are running optimally and maximising synergy and efficiency across the technology landscape.

Objectives and Key Results
The Data Centre Engineer is part of the Data Centre Practice department within the Customer Experience and Managed Service.

The key objectives will be to:
• Commit to several dayshifts operating between the hours of 8:00am to 8:00pm Monday to Friday. The dayshifts are rostered on a rotational basis with each engineer working 37.5hrs/week.
• Form part of an on-call Rota, covering escalations outside of the above hours. On-call and overtime are claimed in addition to your base salary, in-line with company policy. Generally, engineers will be expected to cover 1 in every 4 weeks on call.
• Meet and assist Claranet customers and visiting engineers with the installation and support of services, presenting yourself as a professional public face of Claranet at all Data Centre sites.
• Review and maintain site security and access control at all times, working closely with the security team to maintain our existing quality and security certifications which include ISO9001 and ISO27001.

Duties and Responsibilities

Essential duties and responsibilities
• Troubleshooting and repair of hardware faults and the installation of spares or components as required.
• You will be based at our Docklands and Hoddesdon Data Centres (must live within 1 hour commute to the data centres- EN11 & E14) with occasional travel to other UK sites when required.
• Provide hands and eyes services to all Claranet departments and external customers.
• Installation and decommission of managed equipment within the Data Centres and external customer sites.
• Performing routine maintenance on server and network equipment to maintain maximum uptime of customer environments.
• Accepting and taking ownership of fault escalations from internal teams.
• Providing internal and external customers with timely updates on progress of incidents.
• Make regular physical checks of the Data Centre facilities and assist with the production of monthly statistics.
• Documentation of Data Centre equipment, service configuration and hardware solutions.
• Carry out physical checks and audits as required by the business and its customers.
• The management and control of Claranet assets.
• Manage and maintain Data Centre security by allowing only authorised personnel access to the Data Centre facilities.
• Update and maintain Claranet databases following all changes to equipment or assets.

Teams to collaborate with
• Customer Experience and Managed Services as well as with the Technology Practices.
As part of the role, you will be required to work closely with the Delivery, Support and Change teams to facilitate the installation and support of customer and Claranet equipment to the highest possible standards.

Position Specifications

Position specifications
Behavioural competencies – organisational and behavioural fit
• A positive ‘can-do’ attitude.
• Ability to work effectively under pressure whilst maintaining good prioritisation, high standards and risk mitigation.
• You will be expected to communicate with corporate clients via telephone, tickets, email and face-to-face and should therefore possess excellent verbal and written communication skills.
• Enthusiastic and highly motivated.
• Ability to work alone, under own initiative considering the safety of themselves and others at all times.
• Ability to dynamically assess and reduce/mitigate risk to service and safety.
• Excellent organisational skills and attention to detail.
• Full UK manual driving license
Critical competencies – technical fit
• At least 1-year prior experience working for an Internet/Data Centre service provider, managed services provider or large corporation supporting server hardware.
• Experience installing and troubleshooting server hardware, components and firmware.
• Experience installing and physically troubleshooting firewalls, switches and routers.
• A demonstrable passion for delivering exceptional customer service.
• Demonstrable problem-solving and troubleshooting skills.
• Ability and drive to create and maintain up-to-date documentation.
• Ability to follow complex instructions for unfamiliar tasks.
• Experience working within Data Centres, installing equipment in data racks and an appreciation of how power and cooling operates in such environments.
• Copper and fibre cabling – types, installation, termination
• Certified Data Centre Technician (CDCT) or equivalent Data Centre qualification
• Basic Cisco switching and routing experience.
• Basic Linux and Windows experience.
• VMware hypervisor and basic VM management experience

Related Jobs

View all jobs

Data Centre Technician

Finance Operations Lead

Junior Electrical Commissioning Engineer

Lead Electrical Commissioning Engineer

CSA Design Manager

Senior Data Analyst

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.

Quantum-Enhanced AI in Data Engineering: Reshaping the Big Data Pipeline

Data engineering has become an indispensable pillar of the modern technology ecosystem. As companies gather massive troves of data—often measured in petabytes—the importance of robust, scalable data pipelines cannot be overstated. From ingestion and storage to transformation and analysis, data engineers stand at the forefront of delivering reliable data for analytics, machine learning, and critical business decisions. Simultaneously, the field of Artificial Intelligence (AI) has undergone a revolution, transitioning from niche research projects to a foundational tool for everything from predictive maintenance and fraud detection to customer experience personalisation. Yet as AI models grow in complexity—think large language models with hundreds of billions of parameters—the data volumes and computational needs escalate dramatically. The industry finds itself at an inflection point: traditional computing systems may eventually hit performance ceilings, even when scaled horizontally with thousands of nodes. Enter quantum computing, a nascent yet rapidly progressing technology that leverages quantum mechanics to tackle certain computational tasks exponentially faster than classical machines. While quantum computing is still maturing, its potential to supercharge AI workflows—often referred to as quantum-enhanced AI—has piqued the curiosity of data engineers and enterprises alike. This synergy could solve some of the biggest headaches in data engineering: accelerating data transformations, enabling more efficient analytics, and even facilitating entirely new kinds of modelling once believed to be intractable. In this article, we explore: How data engineering has evolved to support AI’s insatiable appetite for high-quality, well-structured data. The fundamentals of quantum computing and why it may transform the data engineering landscape. Potential real-world applications for quantum-enhanced AI in data engineering—from data ingestion to machine learning pipeline optimisation. Emerging career paths and skill sets needed to thrive in a future where data, AI, and quantum computing intersect. Challenges, ethical considerations, and forward-looking perspectives on how this convergence might shape the data engineering domain. If you work in data engineering, are curious about quantum computing, or simply want to stay on the cutting edge of technology, read on. The next frontier of data-driven innovation may well be quantum-powered.

Data Engineering Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data. It’s the critical lifeblood of every forward-thinking organisation, fueling everything from strategic decision-making to real-time analytics. As data volumes skyrocket and technologies mature, the UK has distinguished itself as a frontrunner in data innovation. A robust venture capital scene, government-backed initiatives, and a wealth of academic talent have created fertile ground for data-centric start-ups across the country. In this Q3 2025 Investment Tracker, we’ll delve into the newly funded UK start-ups shaping the future of data engineering. More importantly, we’ll explore the rich job opportunities that have emerged alongside these funding announcements. From building scalable ETL (Extract, Transform, Load) pipelines to architecting data warehouses and implementing advanced data governance frameworks, data engineers, architects, and analysts have an incredible array of roles to pursue. If you’re eager to elevate your career in data engineering, read on for insights into the most dynamic start-ups, their fresh capital injections, and the skill sets they’re hungry for.

Portfolio Projects That Get You Hired for Data Engineering Jobs (With Real GitHub Examples)

Data is increasingly the lifeblood of businesses, driving everything from product development to customer experience. At the centre of this revolution are data engineers—professionals responsible for building robust data pipelines, architecting scalable storage solutions, and preparing data for analytics and machine learning. If you’re looking to land a role in this exciting and high-demand field, a strong CV is only part of the puzzle. You also need a compelling data engineering portfolio that shows you can roll up your sleeves and deliver real-world results. In this guide, we’ll cover: Why a data engineering portfolio is crucial for standing out in the job market. Choosing the right projects for your target data engineering roles. Real GitHub examples that demonstrate best practices in data pipeline creation, cloud deployments, and more. Actionable project ideas you can start right now, from building ETL pipelines to implementing real-time streaming solutions. Best practices for structuring your GitHub repositories and showcasing your work effectively. By the end, you’ll know exactly how to build and present a portfolio that resonates with hiring managers—and when you’re ready to take the next step, don’t forget to upload your CV on DataEngineeringJobs.co.uk. Our platform connects top data engineering talent with companies that need your skills, ensuring your portfolio gets the attention it deserves.