Database Administrator

Napier AI
Belfast
1 year ago
Applications closed

Related Jobs

View all jobs

Database Administrator / Data Engineer

Data Engineer / Database Administrator

Trainee Data Analyst/Support – Training Course

Data Engineer (T-SQL, Python)

Senior Data Engineer (DATABRICKS)

Senior Data Engineer - Scalable Pipelines & Insights

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.

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 Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.