Database Administrator

Hereford
1 month ago
Applications closed

Related Jobs

View all jobs

Senior SQL Database Administrator

Snowflake DBA

Data Administrator

Commercial Administrator

MIS Administrator (Maternity)

Commercial Administrator

New Requirement for a Database Administrator & Senior Database Administrator for a 6-month contract in Herefordshire.

Applicants must have active DV Clearance.

Key Responsibilities:

  • Team Leadership & Management: Oversee and mentor a small team of Database Administrators, providing guidance, training, and support.

  • Database Administration & Maintenance: Provide technical support for MariaDB (MySQL) databases, ensuring optimal performance and availability.

  • Backup & Disaster Recovery: Implement and oversee database backup and recovery strategies to mitigate data loss.

  • Monitoring & Performance Optimization: Track system performance and identify bottlenecks affecting database efficiency and data integrity.

  • Incident & Problem Management: Troubleshoot database-related incidents and implement proactive solutions to minimize downtime.

  • Capacity Planning: Monitor and forecast database storage and performance needs, ensuring scalability.

  • Upgrades & Patch Management: Plan and execute major database upgrades and periodic patching to maintain system stability.

  • Database Logging & Monitoring: Configure and manage database logs for integration into a SIEM (Security Information and Event Management) solution for monitoring and security compliance.

  • High Availability & Failover Management: Monitor, maintain, and orchestrate manual failover and failback procedures to maintain uptime.

  • Automation & Scripting: Develop scripts using SQL, Bash, or Python to automate database maintenance and monitoring tasks.

  • Documentation & Knowledge Sharing: Maintain database build and upgrade documentation, ensuring accuracy and accessibility for the team.

  • Testing & Validation Support: Oversee execution of test scripts for database validation and performance assessment.

    You will have:

  • Proven experience as a Senior Database Administrator (DBA).

  • Demonstrated leadership experience, with the ability to mentor and manage a technical team.

  • Expertise in MariaDB or other relational databases (MySQL, Oracle, or SQL Server).

  • Experience with backup and disaster recovery strategies for databases.

  • Knowledge of database tuning, indexing, and query optimization.

  • Understanding of networking protocols relevant to databases (TCP/IP, DNS, load balancing).

  • Familiarity with IT Service Management (ITSM) tools, preferably ServiceNow.

  • Familiarity with Agile/Scrum methodologies.

  • Knowledge of ITIL/ITSM principles and best practices.

  • Excellent analytical and problem-solving skills.

  • Exceptional communication and interpersonal skills, with the ability to collaborate effectively across teams.

    Desirable Skills:

  • Familiarity with security frameworks such as CIS benchmarks or ISO 27001.

  • Hands-on experience with high availability clustering and replication.

  • Familiarity with virtualization technologies.

  • Experience with automated patch management in database environments.

  • ServiceNow environment experience is desirable.

  • Experience transitioning systems to service

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Best UK Universities for Data Science Degrees (2025 Guide)

Discover ten of the strongest UK universities for Data Science degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the currency of the modern economy, and professionals who can wrangle, model and interpret vast datasets are in demand across every sector—from biotechnology and finance to sport and public policy. UK universities have been at the forefront of statistics, artificial intelligence and large-scale computing for decades, making the country a prime destination for aspiring data scientists. Below, we profile ten institutions whose undergraduate or postgraduate pathways excel in data science. Although league tables vary each year, these universities have a proven record of excellence in teaching, research and industry collaboration.

Veterans in Data Science: A Military‑to‑Civilian Pathway into Analytical Careers

Introduction The UK Government’s National AI Strategy projects that data‑driven innovation could add £630 billion to the economy by 2035. Employers across healthcare, defence, and fintech are scrambling for professionals who can turn raw data into actionable insights. In 2024 alone, job‑tracker Adzuna recorded a 42 % year‑on‑year rise in data‑science vacancies, with average advertised salaries surpassing £65k. For veterans, that talent drought is a golden opportunity. Whether you plotted artillery trajectories, decrypted enemy comms, or managed aircraft engine logs, you have already practised the fundamentals of hypothesis‑driven analysis and statistical rigour. This guide explains how to translate your military experience into civilian data‑science language, leverage Ministry of Defence (MoD) transition programmes, and land a rewarding role building predictive models that solve real‑world problems. Quick Win: Take a peek at our live Junior Data Scientist roles to see who’s hiring this week.

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.