Senior IT Support Engineer, 2nd Line, 3rd Line, M365

Bristol
5 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Azure Data Engineer

Data Engineer Manager

Senior IT Support Engineer, 2nd Line AND 3rd Line roles

Location: Bristol
Salary Range: £(Apply online only) + Benefits DOE

🛠️ Your Role: Lead, Troubleshoot, Enable

As our Senior IT Support Engineer, you'll be the escalation expert-leading on all things infrastructure and supporting mission-critical systems. You'll be managing everything from Windows desktops and servers to cloud integrations and enterprise networking, ensuring impeccable uptime and operational excellence.

Core Responsibilities:

Windows Desktop & Server Management: Covering ADDS, DHCP, DNS, File Services, RDS, IIS; user provisioning, server buildout, and troubleshooting.

Virtualisation: Design, deploy, and manage with VMware ESXi/vCentre and Hyper‑V; clustering is a strong advantage

Backup & DR: Champion backup strategies and disaster recovery operations-Veeam or equivalent.

Cloud & M365/Azure: Own administration of Microsoft 365, Azure, and Intune.

Scripting & Automation: Build and adapt scripts in PowerShell and other languages to automate processes.

Networking & Security: Configure routers, VLANs, ACLs, VPN/IPsec tunnels, wireless with RADIUS, VOIP systems, and firewalls (Sophos XG/Cisco).

Cross-Platform Systems: Support Linux (patching, security), MacOS (JumpCloud, ACMT), SQL Server, and IOS.

Mentorship & Projects: Lead migrations, deliver junior staff coaching, contribute to IT strategy and documentation.

🌟 You'll Stand Out With:

Certifications: MSCE, VMware VCP, Cisco, Apple ACMT, and ITIL V3/V4.

Cloud migration/project experience (Azure, Oracle, M365, server-to-cloud).

Experience with AutoTask, Datto RMM, and Cyber Essentials compliance.

Containerisation know-how (Docker, Kubernetes).

Excellent communication skills and proven leadership potential with an interest in stepping up to Team Lead roles

✅ What We Offer:

Growth & Recognition: Structured training, certification support, and career progression.

Modern Work Environment: Collaborative culture, flexible working, and access to the latest tools and platforms.

Impact & Influence: Be central to key infrastructure projects and security initiatives that shape our future success.

Competitive Package: Strong base salary, performance bonuses, healthcare, and pension plan.

People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas

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.

Education Jobs

Maths for Data Engineering Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for data engineering jobs in the UK, maths can feel like a vague requirement hiding behind phrases like “strong analytical skills”, “performance mindset” or “ability to reason about systems”. Most of the time, hiring managers are not looking for advanced theory. They want confidence with the handful of maths topics that show up in real pipelines: Rates, units & estimation (throughput, cost, latency, storage growth) Statistics for data quality & observability (distributions, percentiles, outliers, variance) Probability for streaming, sampling & approximate results (sketches like HyperLogLog++ & the logic behind false positives) Discrete maths for DAGs, partitioning & systems thinking (graphs, complexity, hashing) Optimisation intuition for SQL plans & Spark performance (joins, shuffles, partition strategy, “what is the bottleneck”) This article is written for UK job seekers targeting roles like Data Engineer, Analytics Engineer, Platform Data Engineer, Data Warehouse Engineer, Streaming Data Engineer or DataOps Engineer.

Jobs

Neurodiversity in Data Engineering Careers: Turning Different Thinking into a Superpower

Every modern organisation runs on data – but without good data engineering, even the best dashboards & machine learning models are built on sand. Data engineers design the pipelines, platforms & tools that make data accurate, accessible & reliable. Those pipelines need people who can think in systems, spot patterns in messy logs, notice what others overlook & design elegant solutions to complex problems. That is exactly why data engineering can be such a strong fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a data engineering career, you might have heard comments like “you’re too disorganised for engineering”, “too literal for stakeholder work” or “too distracted for complex systems”. In reality, the traits that can make traditional office environments hard often line up beautifully with data engineering work. This guide is written for data engineering job seekers in the UK. We’ll cover: What neurodiversity means in a data engineering context How ADHD, autism & dyslexia strengths map to common data engineering tasks Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data engineering – & how to turn “different thinking” into a genuine professional superpower.

Jobs

Data Engineering Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the data engineering jobs market in the UK is evolving fast. Almost every organisation is talking about AI, analytics & data-driven decision making – but behind all that sits the data engineering function. Cloud costs, complex data estates, stricter regulation & the explosion of AI workloads are all changing how data platforms are built & run. Some companies are tightening budgets & consolidating teams, while others are doubling down on modern data stacks, lakehouses & real-time pipelines. Whether you are a data engineering job seeker planning your next move, or a recruiter building data teams, understanding the key data engineering hiring trends for 2026 will help you stay ahead.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.