Database Administrator

Hereford
1 month ago
Applications closed

Related Jobs

View all jobs

Database Administrator - DBA

MySQL Engineer / DBA

Data Controller

Business Support Systems Applications Administrator

Cloud Monitoring & Data Analyst

Salesforce 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.

Jobs

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Jobs Careers

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Jobs

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.

🍪 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.