3rd Line Support Engineer

Southend-on-Sea
8 months ago
Applications closed

Related Jobs

View all jobs

Head of DevOps and DataOps

I'm recruiting for a 3rd Line Engineer to join a new Managed Services Provider in Essex, where you will provide support for all IT systems as the technical "expert" in the team, whilst mentoring and coaching 2nd Line Engineers.

Please note this role is fully-office based 5 days a week in their office near Southend-on-Sea, to allow for stakeholder interaction and face-to-face coaching.

This role will largely focus on resolving complex technical issues that are escalated from 1st and 2nd line support including hardware, software and network-related issues. You will identify the root cause and implement long-term solutions, operating within strict SLAs to ensure the highest levels of customer satisfaction.

This may involve working with vendors and services providers where needed, and you'll create detailed documentation to develop the knowledge base, and promote a culture of self-serve user support.

You'll also proactively manage and maintain IT infrastructure, and will work across various domains including systems administration, networking, software and hardware, making this a varied and interesting role.

It would be well-suited to someone who thoroughly enjoys resolving complex technical issues, taking real ownership of their work, and also mentoring others.

Requirements:

Prior experience in a similar role, with experience using ticketing systems
Experience with networking technologies e.g. DNS, DHCP, TCP/IP, VPN, VLAN
Experience with databases e.g. SQL Server, MySQL, Oracle
Experience with virtualisation technologies e.g. VMWare, Hyper-V
Experience with security firewalls and data encryption
Strong communication, stakeholder management and problem-solving skillsBenefits:

Salary up to £42,000 depending on experience
Annual salary reviews
25 days holiday plus bank holidays plus option to buy more
Pension with 5% matched contribution
Healthcare cash plan

Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.

Tenth Revolution Group / Nigel Frank are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, and the London Power BI User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at m

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.

How to Write a Data Engineering Job Ad That Attracts the Right People

Data engineering is the backbone of modern data-driven organisations. From analytics and machine learning to business intelligence and real-time platforms, data engineers build the pipelines, platforms and infrastructure that make data usable at scale. Yet many employers struggle to attract the right data engineering candidates. Job adverts often generate high application volumes, but few applicants have the practical skills needed to build and maintain production-grade data systems. At the same time, experienced data engineers skip over adverts that feel vague, unrealistic or misaligned with real-world data engineering work. In most cases, the issue is not a shortage of talent — it is the quality and clarity of the job advert. Data engineers are pragmatic, technically rigorous and highly selective. A poorly written job ad signals immature data practices and unclear expectations. A well-written one signals strong engineering culture and serious intent. This guide explains how to write a data engineering job ad that attracts the right people, improves applicant quality and positions your organisation as a credible data employer.

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.

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.