Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

NS226362 Data Engineer

NHS Grampian
Aberdeen
1 week ago
Create job alert

Data Engineer
Summerfield House (Permanent Full Time)


NHS Grampian is an intelligence‑led organisation, recognised for using high quality analytics to drive decision making across the health system. Our work spans Public Health, Primary Care, Community Services, Hospitals, Partnerships, and corporate functions. We are looking for an enthusiastic, forward‑thinking Data Engineer to join our innovative and friendly team.


Healthcare is being transformed by new data sources and technologies. NHS Grampian is committed to maximising data as a strategic asset, powering research, improving patient care, reducing health inequalities, and strengthening population health.


We are moving to a cloud‑first strategy with platforms such as Microsoft Fabric, building a robust, scalable, and secure data ecosystem. This includes cloud‑based data lakes, SQL‑driven data models (including star schemas), and optimised ELT pipelines to enable trusted reporting, advanced analytics, and AI/ML.


What you will do

  • Shape and deliver NHS Grampian’s cloud data architecture, covering storage, integration, processing, and analytics
  • Use SQL and Python alongside modern ELT approaches to design, build, and optimise data pipelines
  • Model and structure data for analysis, creating trusted solutions that support real‑world decision making
  • Work closely with clinicians, service leaders, local authorities, and national health bodies to ensure systems meet operational and strategic needs

About You

You will be comfortable moving between high‑level design and hands‑on development. Experience with SQL, Python, cloud data platforms, and modern data engineering methods is highly desirable. An interest in AI and advanced analytics will be an advantage.


Key Skills And Experience

  • SQL (data querying, optimisation, and modelling)
  • Python (data engineering, analytics, automation)
  • Data modelling (including star schemas and relational design)
  • Cloud data platforms (ideally Microsoft Fabric or equivalent)
  • ELT pipeline design and optimisation
  • Knowledge of governance, privacy, and information security in data systems

What we offer

  • Flexible and hybrid working arrangements
  • Strong support for professional development and research
  • Close links with the University of Aberdeen and the Aberdeen Centre for Health Data Science

NHS Scotland is committed to encouraging equality and diversity among our workforce and eliminating unlawful discrimination. The aim is for our workforce to be truly representative and for each employee to feel respected and able to give their best. To this end, NHS Scotland welcomes applications from all sections of society.


As a disability confident employer we are committed to ensuring our recruitment processes are inclusive and accessible to all. If you need us to make any adjustments during the recruitment process, please let us know by contacting our recruitment team at the earliest opportunity. Email us at .


#J-18808-Ljbffr

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.