Communication Engineer / Messaging Ops Support Engineer

Chester
11 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer (Snowflake, SQL, Python)

Data Engineer

Data Engineer

Tittle: Communication Engineer / Messaging Ops Support Engineer
Contract Length: 12 Months
Location: Chester
Working Pattern: Full Time (need out of hours support)
Rate: Highly competitive rate available for suitable candidates

Are you ready to make an impact in the Unified Communications arena? We are seeking a dynamic and skilled Operations Support Analyst / Messaging Ops Support Engineer to join our team! If you thrive in a fast-paced environment and have a passion for technology, this is the perfect opportunity for you!

Required Skills & Experience:

Experience with Microsoft Lync/Skype/Teams (IM, Online-Meeting w/content sharing, Persistent Chat Rooms, Mobile IM, B2B Federation, P2P Audio/Video, Audio conferencing & Softphone/Enterprise Voice
Persistent chat - symphony linux based - in the cloud.
Familiarity with the Cisco UC Suite, including Teams, Jabber, and WebEx.
Experienced in infrastructure to support symphony.
Strong experience in Microsoft PowerShell and other scripting technologies.
Proficiency with monitoring tools such as Splunk and SCOM.
Ability to effectively interface with key software/hardware partners such as Microsoft, Cisco, Smarsh, Mattermost, Integrated Research, and Red Hat
Solid understanding of Active Directory, SQL databases, and networking technologies.
Experience with Linux servers and virtual platforms.
Excellent problem-solving skills with a knack for troubleshooting.
Strong communication skills to effectively interface with key software and hardware partners.
Experience with ITIL principles and incident, change, and problem management disciplines is a plus.

Key Responsibilities:

Support and manage our Unified Communications collaboration environment, ensuring seamless day-to-day operations.
Handle critical client escalations and oversee production changes and infrastructure deployments.
Execute processes to support IT infrastructure and deliver top-notch IT services that meet business needs.
Monitor, measure, and report on application performance, ensuring they meet availability and capacity demands.
Collaborate with Architecture and Engineering teams for solution planning, testing, and troubleshooting.
Facilitate problem resolution throughout the information system lifecycle and document root causes for future prevention.
Provide on-call support, covering nights and weekends as needed. Desired Skills:

ITIL Certification is a plus!

Why Join Us?

Be part of a vibrant team dedicated to innovation and excellence.
Work in a supportive environment that encourages professional growth.
Enjoy a highly competitive rate and additional perks that come with this role.

If you're excited about the prospect of supporting a cutting-edge Unified

Communications environment and possess the skills we're looking for, we want to hear from you! Join us in making a difference and enhancing our operational capabilities.

Apply now to seize this fantastic opportunity! Your future awaits!

Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you

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.

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.

What Hiring Managers Look for First in Data Engineering Job Applications (UK Guide)

If you’re applying for data engineering jobs in the UK, the first thing to understand is this: Hiring managers don’t read every word of your CV. They scan it. They look for signals of relevance, credibility, delivery and collaboration — and if they don’t see the right signals quickly, your application may never get a second look. In data engineering, hiring managers are especially focused on whether you can build and operate reliable, scalable data systems, handle real-world data challenges and work effectively with analytics, BI, data science and engineering teams. This guide breaks down exactly what they look at first in your application — and how to shape your CV, portfolio and cover letter so you stand out.