Network Engineer

Abingdon
1 month ago
Applications closed

Related Jobs

View all jobs

Power Platform and Integration Developer

On-site Senior Network Infrastructure Engineer

Contract Observability Software Engineer

Supply Chain Analyst

Senior Web Developer - Data Dashboards and Platform Services

Land Surveyor

Network Engineer, Abingdon, £45,000 - £55,000, plus car and bonus
Our client are a leading IT Consultancy that prides itself on delivering efficient IT solutions to over four hundred sites nationwide, with a focus on exceptional customer service and lasting client relationships. Due to expansion, they are looking for a well-presented, customer-focused, and personable Network Engineer.

You will play a crucial role in implementing and managing new projects and installations, providing on-site end-user support, and maintaining existing infrastructure. Your responsibilities will include problem analysis, documentation, and ensuring configurations are up to the highest standards.

The responsibilities of the Network Engineer role are:

Architecting scalable networking solutions based on individual business requirements.
Creating network topologies and diagrams.
Create recommendations for network hardware and software to improve service and profitability.
Implementing new network technologies and upgrades.
Monitoring network performance and identifying potential issues.
Conduct problem analysis and investigation. Diagnosing and resolving complex problems.
Ensure all systems are monitored and backed up at agreed intervals.
Performing routine network maintenance checks.
Provide/organise on-site end-user support.
Implementing network security policies and best practices.
Identifying and mitigating network vulnerabilities.
Ensure security patches/firmware are tested and applied to maintain system security.
Assessing network capacity and planning for future growth.
Optimising network performance by analysing traffic patterns and making all necessary adjustments.  
The ideal Network Engineer will possess experience of the following:
Cisco Expertise: In-depth knowledge of Cisco routers and switches
Networking: TCP/IP connectivity and IT security expertise
Firewall configuration, management and reporting (Fortinet)
Windows Server Administration: 2016, 2019, and Server 2022
High-Level Communication Skills: Both written and verbal
Virtualisation: Windows Hyper-V
Active Directory/Azure AD Administration
Windows/Microsoft focus: Azure, Office 365 & Intune
Device Support: Windows 10/11 and Apple devices, experience with Intune, Apple, and Meraki MDM
Backup Technologies and Disaster Recovery
Microsoft SQL Server: Experience advantageous Benefits include:

Company pension
Employee discount
Flexible schedule
Private Health Care
Group Life
Eligible for profit-share after 12 months of continuous service   
MARS Recruitment is an equal opportunities employer and positively welcomes applications from suitably qualified applicants regardless of race, colour, sex, marital status, national origin, religion, age, disability, or any other protected status. Suitable candidates for the role will be contacted within 3 working days, unfortunately if you haven’t heard back in this time your application has been unsuccessful at this time.  

MARS Recruitment is a specialist Engineering & IT recruiter working in partnership with companies across the UK and offers services of both an Employment Business (for Temporary/Contract roles) and an Employment Agency (for Permanent roles)

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.