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

Apply Now

Data Engineer

St Lukes Hospice Plymouth
Plymouth
9 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Transforming Care Through Data: A Unique Opportunity for an                                    Exceptional Data Engineer

2-Year Fixed-Term Position

 

We have a vacancy for an experienced, motivated, and professional individual to join us at St Luke's Hospice Plymouth as a Data Engineer.

Imagine a role where your technical expertise directly impacts compassionate patient care. Our hospice is seeking a visionary Data Engineer to revolutionise how we understand and deliver healthcare services. Working part-time, based out of our Plymouth Hospice, you'll architect a sophisticated cloud-based solution that transforms complex data centred around clinical and operational datasets, into powerful, actionable insights.

This is not just another technology job – it's a chance to be at the heart of healthcare innovation. You'll design advanced ETL processes, ensure stringent data governance, and collaborate across multidisciplinary teams to develop data architectures that support the creation of predictive analytics models that inform critical decision-making.

We're looking for more than just a skilled technician; we need a passionate professional who understands that data can improve care and make every day the best day it can be. You'll be responsible for implementing robust data protection strategies, creating scalable data models, and championing the needs of hospice users. If you're ready to use your technical skills to make a meaningful difference, bringing innovation, empathy, and cutting-edge data capabilities to a not-for-profit healthcare setting, this role is your opportunity to redefine the intersection of technology and compassionate care

As the ideal candidate, you would need:

  • BSc/MSc in Computer Science, Data Engineering, or related field.
  • Advanced Azure Cloud certification or associated training.
  • Healthcare sector data experience
  • Knowledge of palliative care and medical terminology



Please see the attached Person Specification and Job Description for further information.

St Luke’s are committed to equality of opportunity, to being fair and inclusive, and to being a place where everyone can bring their whole selves to work. We therefore particularly encourage applications from candidates who are likely to be underrepresented in St Luke’s workforce. These include people from Black, Asian and minority ethnic backgrounds, disabled people and LGBTQ+ people.

Please note St Luke's Hospice Plymouth does not possess a license to sponsor individuals to work in the United Kingdom.

Closing Date: 21 March 2025
1st Interview Date: 2 April 2025
2nd Interview Date: 9 April 2025

We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible.

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 Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

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.