Infrastructure Architect (SQL Focus) - DV Cleared

Basingstoke
9 months ago
Applications closed

Related Jobs

View all jobs

Snowflake Data Architect - £550 Inside IR35- Hybrid

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Infrastructure Architect (SQL Focus) - DV Cleared

Location: Basingstoke (5 days per week, office-based)

Security Clearance: Must hold current, active UK Developed Vetting (DV) clearance or be willing to go through DV Clearance.

Salary: £75,000 - £80,000 per annum

Package: + 10% Bonus + 10% DV Allowance + £6,000 Car Allowance + Excellent Benefits

Overview:

Are you an experienced Infrastructure Architect with deep SQL Server expertise and current DV security clearance? Ready to make a significant impact within a collaborative, multi-skilled agile team?

We are recruiting on behalf of a prestigious global technology services company seeking a talented individual to join their team based full-time at their Basingstoke office. This is a fantastic opportunity to take ownership of critical infrastructure projects within a challenging and varied environment where teamwork and continuous learning are paramount.

The Role:

Working as a key member of an agile team, you will be responsible for the end-to-end delivery of infrastructure work packages, with a strong focus on SQL Server environments. You will leverage your technical skills to design, prototype, test, deploy, and support robust solutions, ensuring they meet both functional and non-functional requirements.

Key Responsibilities:

Design, build, and implement SQL-centric infrastructure solutions.
Take full ownership of work packages throughout their lifecycle.
Develop and execute repeatable unit tests for functionality and resilience.
Troubleshoot complex technical problems effectively.
Provide early life support for newly deployed solutions.
Create and maintain high-quality design and support documentation.
Manage ongoing changes and enhancements based on evolving requirements.
Collaborate closely with colleagues across security, service, and management within an agile framework.

Required Skills & Experience:

Essential: Advanced knowledge and demonstrable experience in SQL Server architecture, implementation, and administration.
Essential: Must hold current and transferable UK Developed Vetting (DV) security clearance.
Proven ability to own technical delivery from design through to support.
Experience working within agile team environments.
Strong analytical and problem-solving skills.
Excellent communication and collaboration abilities.

What's on Offer:

This role comes with a highly competitive remuneration package:
Base Salary: £75,000 - £80,000
Bonus: performance-related bonus
DV Allowance: 10% of base salary
Car Allowance: £6,000 per annum
Market-leading pension scheme with double matching contributions up to 10%
26 days + public holidays + 3 flexible days
Life Assurance
Private Medical Insurance
Flexible Benefits Scheme: Options like buying extra holidays, dental cover, critical illness, etc.
Employee Discounts Platform
Employee Assistance Programme & Virtual GP Service
Opportunity to work on challenging projects within a supportive, inclusive, and people-centric organisation

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.

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.

The Skills Gap in Data Engineering Jobs: What Universities Aren’t Teaching

Data engineering has quietly become one of the most critical roles in the modern technology stack. While data science and AI often receive the spotlight, data engineers are the professionals who design, build and maintain the systems that make data usable at scale. Across the UK, demand for data engineers continues to rise. Organisations in finance, retail, healthcare, government, media and technology all report difficulty hiring candidates with the right skills. Salaries remain strong, and experienced professionals are in short supply. Yet despite this demand, many graduates with degrees in computer science, data science or related disciplines struggle to secure data engineering roles. The reason is not academic ability. It is a persistent skills gap between university education and real-world data engineering work. This article explores that gap in depth: what universities teach well, what they consistently miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data engineering.

Data Engineering Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data engineering in your 30s, 40s or 50s? You’re not alone. In the UK, companies of all sizes — from fintechs to government agencies, retailers to healthcare providers — are building data teams to turn vast amounts of information into insight and value. That means demand for data engineering talent remains strong, but there’s a gap between media hype and the real pathways available to mid-career professionals. This guide gives you the straight UK reality check: which data engineering roles are genuinely open to career switchers, what skills employers actually look for, how long retraining really takes and how to position your experience for success.