Junior Database Administrator

Akrivia Health
Oxford
3 months ago
Applications closed

Related Jobs

View all jobs

Lead Oracle Database Administrator

Trainee Coding and Programmer - No Experience Required

Trainee Coding and Programmer - No Experience Required

Senior Salesforce Developer

Junior Data Engineer

Junior Salesforce Developer

We have a legal responsibility to ensure that you have the right to work in the UK before you can start working for us; we are unable to offer sponsorship at this time.

Please submit your CV and cover letter to by26th February 2025. Due to the high volume of applications, we are only able to respond to those selected for interview. If you require any reasonable adjustments during the interview process, please do let us know so we can make suitable arrangements for you.

Who we are

Akrivia Health are global leaders in the application of real-world data & evidence for mental health and dementias, providing valuable insights for research. With the largest and richest repository of real-world data in the world, we enable our clients and collaborators to accelerate clinical trials and to identify, develop and deliver effective new drugs, devices and services to patients and caregivers. We provide our research support and data curation services to the NHS for free, in order to support mental health provision, service improvement and improved patient outcomes across our network. Our Precision Neuroscience Initiative – GlobalMinds – is creating the UK’s largest biobank of patients with mental health conditions to transform research and alleviate disease burden in this area of critical unmet medical needs.

Duties & Responsibilities

We are seeking a self-motivated junior database administrator to join our Data Engineering team to help support our main ETL pipeline. You will be responsible for helping diagnose issues and monitor performance, working closely with the Senior Database Engineer to improve the integrity of our key data assets. This is also an opportunity to gain exposure to our new modern technology stack including Apache Spark, Kafka & Delta-lake, as part of our data engineering strategy.

Key Responsibilities

  1. Monitoring system performance & identification of issues
  2. Documenting database setup & operations
  3. Automated alerting / reporting for the wider team
  4. Partner with our AI engineers & research teams to help diagnose data quality issues

Qualifications & Experience

  1. Working knowledge of database structures
  2. BA/BSc STEM subject or related
  3. RDBMS: Experience with at least one RDBMS: MySql, Postgresql, MS Sql, Oracle
  4. Problem-Solving: Analytically minded with excellent problem-solving skills
  5. Motivation: Self-learner & demonstration of interest in Sql
  6. Analysis: Performance analysis / query tuning
  7. Collaboration: Strong communication & collaboration with other team members
  8. Testing: Strong ethos around testing / including usage of mock data
  9. T-SQL: Understanding of T-SQL (stored procedures / functions)

Our Culture

This is an exciting opportunity to join a dynamic and friendly team who are passionate about making positive changes in people’s lives. At Akrivia Health, our culture is one of integrity, respect, collaboration and trust.

  • Competitive salary package, depending on skills and experience.
  • Pension scheme with the opportunity to receive employer contributions.
  • 25 days annual leave, plus the bank holidays (+3 days after 3 years).
  • Fantastic learning and development opportunities, including an annual training budget.
  • Hybrid working – minimum 2 days per week in offices in Oxford & London.

Our commitment to equality, diversity and inclusion

At Akrivia Health we understand that a diversity of perspectives not only fosters innovation, creativity and learning, but is also crucial for understanding and addressing the challenges in mental health and dementia. We are a committed equal opportunities employer and encourage applications from all individuals, regardless of their race, gender, disability or background.

To find out more about us please visit:https://akriviahealth.com/

We look forward to hearing from you!

Changing the trajectory of research within neuroscience

Seniority level

  • Entry level

Employment type

  • Contract

Job function

  • Information Technology

#J-18808-Ljbffr

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.