Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

DV 3rd Line Exchange Support Engineer

Basingstoke
7 months ago
Applications closed

Related Jobs

View all jobs

Enhanced DV AWS Data Architect

Enhanced DV AWS Data Architect

Data Engineer - DV

Data Architect (DV Security Clearance)

Azure Data Engineer

Data Engineers with DV Clearance (Developed Vetting) in London - Deloitte - Recruitment

3rd Line Exchange Support Engineer
Duration : 6 Months, potential for further work.
Location : onsite in Basingstoke and 2-3 days also expected in London per week,
IR35 Status : Inside IR35
DV Required

Your role

We are looking for a 3rd Line Exchange Support Engineer to work with our 3rd Line team and Engineering teams. Your role will involve assisting high profile user community via incident logging application.

Your experience

  • Good understanding of Exchange 2013 or latest versions.
  • Good Understanding of Communication LCS / OCS / LYNC
  • Good understanding of Microsoft Office SharePoint Server 2003/2007/2010 and SharePoint Designer
  • Knowledge must include architectural design, web parts, management and troubleshooting with a focus on planning, deploying, and supporting enterprise SharePoint implementations.
  • In depth experience with Collaboration, Portals, Enterprise Search, Enterprise Content Management, Business Process and Forms, and/or Business Intelligence.
  • SharePoint experience must include SharePoint Designer workflows, effective use of the data view web part, content query web part, data form web part, navigation customization, and some branding customization.
  • Good understanding of Active Directory (about Forest/Domain Architecture, Replication, Disasters recovery).
  • Good understanding of ISA
  • Good understanding of Exchange Components: - (Exchange Database, Outlook Web Access, Offline Address List, Mail Flow, Public Folders, Free/Busy)
  • Good Understanding of Exchange Architecture Services that run on Exchange 2007 / 2010 Server Roles Edge, Hub, CAS & Mailbox.
  • Good understanding of Backup Applications and the various methods about backing and restoring Exchange Database and configurations.
  • Good understanding on Exchange Gateway product like Bright mail, IMSS etc.
  • Good understanding about MS Cluster on Exchange 2003
  • Good understanding about and Hands on experience regarding High Availability Features (CCR, SCC, SCR & LCR).
  • Good knowledge on Collaborating Applications (Black Berry, OCS, UM etc.,)
  • Extensively worked on Windows core infrastructure services like Active Directory, DNS/DDNS/WINS and DHCP services
  • Working knowledge of RAS/VPN, Web Servers, Clusters, and backup/restore
  • Good knowledge of Server Hardware/RAID, SAN, Backup Applications.
  • Good understanding about upgrading, transitioning, and migrating Exchange to the latest version.
  • Good understanding Exchange Tools that will help in Troubleshooting, Monitoring, and fine tuning of Exchange
  • Exchange Best Practice Analyzer Report
  • Exchange Performance Troubleshooter Analyzer
  • MPS Report
  • Demonstrated experience in ITIL best practices methodologies

    Due to the nature and urgency of this post, candidates holding or who have held high level security clearance in the past are most welcome to apply. Please note successful applicants will be required to be security cleared prior to appointment which can take up to a minimum 18 weeks. LA International is a HMG approved ICT Recruitment and Project Solutions Consultancy, operating globally from the largest single site in the UK as an IT Consultancy or as an Employment Business & Agency depending upon the precise nature of the work, for security cleared jobs or non-clearance vacancies, LA International welcome applications from all sections of the community and from people with diverse experience and backgrounds.

    Award Winning LA International, winner of the Recruiter Awards for Excellence, Best IT Recruitment Company, Best Public Sector Recruitment Company and overall Gold Award winner, has now secured the most prestigious business award that any business can receive, The Queens Award for Enterprise: International Trade, for the second consecutive period

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.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.