National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Database Administrator

Napier AI
Belfast
5 months ago
Applications closed

Related Jobs

View all jobs

Trainee Coding and Programmer - No Experience Required

Trainee Coding and Programmer - No Experience Required

Data Analyst/Administrator

Data Entry And Quality Control (Admin and Clerical)

Deputy Head of Data Engineering

Data Engineer

Description

Napier is a new breed of financial crime compliance technology specialist. Our AI enhanced platform – Napier Continuum – transforms compliance from legal obligation to competitive edge.

At Napier, our mission is to fight financial crime through automation & AI. We believe that by automating the detection and prevention of financial crime, we can make the world a safer place for everyone.

Collaboration, innovation and wonderful people are just some of the reasons to bring your career to Napier. Our culture is shaped by our core values that promote equality, creativity, and opportunity in everything we do.

After successfully securing a £45million investment to fuel our ongoing growth and to further invest in our AI products, we are currently building out our Tech Hub in Belfast - this is a super exciting time to join Napier in Belfast as we expand.
 
Overview of the Role

We are looking for a skilled Database and Elasticsearch Administrator to join our team. This role requires expertise in both traditional database systems and Elasticsearch clusters, with responsibilities spanning installation, configuration, maintenance, and optimization of these systems. The ideal candidate will have a strong foundation in relational databases and advanced knowledge of Elasticsearch, enabling them to ensure data availability, performance, and security across the organisation.


What you'll be doing

  • Database Administration: Install, configure, and maintain relational database systems (e.g., PostgreSQL, MySQL, Oracle), ensuring data availability, performance, and security.
  • Elasticsearch Administration: Set up and manage Elasticsearch clusters, optimizing performance and handling indexing and query tuning to meet the needs of high-volume data applications.
  • Data Security and Integrity: Implement robust security protocols and regular backup/restore procedures to safeguard data integrity across all managed systems.
  • Performance Monitoring and Optimization: Regularly monitor database and Elasticsearch environments, applying tuning techniques to ensure optimal performance.
  • Data Modelling and Indexing: Collaborate with development teams to design efficient data models, implement indexing strategies, and optimize database queries.
  • Incident Response and Troubleshooting: Quickly diagnose and resolve database and Elasticsearch issues, providing on-call support as necessary.
  • Documentation and Compliance: Maintain comprehensive documentation on all database and Elasticsearch configurations, procedures, and policies, ensuring compliance with regulatory requirements.
  • Automation and Scripting: Develop scripts to automate routine tasks, improving the efficiency of database and Elasticsearch maintenance processes.


Do you have what it takes?

  • Bachelor’s degree in computer science, Information Technology, or a related field.
  • 4+ years of experience in database administration, including relational database management.
  • Proficiency in SQL and NoSQL database technologies, along with a solid understanding of data indexing and search optimization in Elasticsearch.
  • Familiarity with monitoring tools such as Grafana, Kibana, or Prometheus for database and Elasticsearch environments.
  • Experience with data backup, disaster recovery, and high-availability strategies.
  • Knowledge of security best practices and data privacy regulations.
  • Proficiency in scripting languages (e.g., Python, Bash) for task automation.
  • Strong analytical and troubleshooting skills, with attention to detail.
Preferred Skills
  • Experience with cloud-based databases (e.g., AWS RDS, Google Cloud SQL) and Elasticsearch service offerings.
  • Familiarity with containerization (Docker) and orchestration tools (Kubernetes) for deployment and scaling.
  • Prior experience with big data environments or data pipeline management is a plus.
  • Relevant certifications in database management or Elasticsearch administration.


Why Napier?

  • Comprehensive private healthcare through AXA covering optical, audio & dental.
  • 25 days of annual leave + bank holidays. An additional two extra days off: we give every employee their Birthday off, and an additional wellness day too.
  • Dedicated pension plan through Aviva. 
  • Life Insurance 4x your annual salary. 
  • Enhanced Maternity & Paternity leave.
  • Income protections policy.
  • Work from anywhere for up to 1 month. 
  • Access to our employee wellbeing programme.
  • Gym membership discounts.
  • Flexibility in work schedules and locations, ensuring a work-life balance.
    • This role can be fulfilled either with a hybrid approach or fully in-office – depending on your preference.
  • An open and flexible culture that allows you to work in the best way for you. 
  • A fast-paced environment, with the ability to make a real impact on our security maturity.
  • Regular team socials, including celebrating company milestones, team socials, charity work or holiday parties. 
  • Free coffee, snacks and fresh fruit provided daily. 
  • A commitment to professional growth & opportunities for training/certifications.
Please note applicants must have the right to work in the United Kingdom. We are unable to offer sponsorship or take over sponsorship of employment visas at this time.
We are compliance technology specialists. Our platform is founded on broad experience and deep expertise; and our products increase efficiency and minimise risk by successfully combining big data technologies with AI and machine learning. It all adds up to the world’s first truly intelligent compliance platform.

But tech is only half the story. Our intelligent approach is applied to underpin your policy, process and procedure, so you can focus on specific outcomes. The Napier platform is fast, scalable and easily configurable, as well as user-friendly. It rapidly strengthens your AML defences and trade compliance capabilities, while meeting your company’s compliance obligations and challenges in any sector.
National AI Awards 2025

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.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.