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- Tasks: Build data pipelines and support advanced analytics for real-world impact in healthcare.
- Company: Join University College London Hospitals, a leader in healthcare innovation.
- Benefits: Competitive salary, mentorship opportunities, and a chance to work on meaningful projects.
- Other info: Collaborate with a multidisciplinary team and contribute to open-source projects.
- Why this job: Make a difference by transforming clinical data into actionable insights for patient care.
- Qualifications: Experience in data engineering, R, Python, and SQL is preferred.
The predicted salary is between 58133 - 65261 £ per year.
Do you want to build the infrastructure that brings advanced analytics and AI from theory into reality? University College London Hospitals is looking for a Data Engineer (AI Enablement) to join the SAFEHR team. We are solving hard problems: building the secure, modern data infrastructure that lets advanced research and machine learning move from theory into reality. You will design data pipelines, evolve our data warehouse and metadata capabilities, prototype machine‑learning workflows on real clinical data, and support data quality across the Trust. Our stack includes R, Python, and SQL; with an ongoing move to a modern data platform. We develop our work as open source wherever feasible.
Responsibilities
- Design, build and maintain data pipelines that give clinicians, researchers and operational teams reliable, timely access to UCLH’s clinical data.
- Develop and improve UCLH’s data warehouse environments, including the transition from an R‑based pipeline to Spark jobs on a data platform.
- Model and transform data from our Epic electronic health record system, coordinating closely with stakeholders to maintain robust metadata.
- Specify and build reports that measure data quality.
- Develop documentation that enables the scalable, correct use of clinical datasets by reporting teams, clinical users and research projects.
- Work within a multidisciplinary team of engineers, clinicians and data scientists, and collaborate with UCL’s Advanced Research Computing Centre and Information Services teams.
- Contribute to open‑source practice through code reviews, automated testing and clear, shareable code.
- Mentor junior staff and support their development.
The position is classified at Grade 7, offering a competitive salary (£58,133 – £65,261). If you want real‑world data engineering challenges, serious technical development and a direct line from your work to patient outcomes, we’d like to hear from you. This role would also be well suited for a research software engineer with an interest in data engineering.
Data Engineer (AI Enablement) | University College London Hospitals NHS Foundation Trust employer: University College London Hospital
Contact Detail:
University College London Hospital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (AI Enablement) | University College London Hospitals NHS Foundation Trust
✨Tip Number 1
Network like a pro! Reach out to current employees at UCLH on LinkedIn or through mutual connections. A friendly chat can give us insights into the team culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio that highlights your experience with R, Python, and SQL. This will not only impress but also demonstrate your hands-on abilities in data engineering.
✨Tip Number 3
Get ready for the interview! Research UCLH’s recent projects and challenges in AI enablement. We want to see how you can contribute to their mission of turning advanced analytics into reality.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Data Engineer (AI Enablement) | University College London Hospitals NHS Foundation Trust
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Engineer (AI Enablement). Highlight your experience with data pipelines, R, Python, and SQL. We want to see how your skills align with our mission at UCLH!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our SAFEHR team. Let us know why you're excited about turning advanced analytics into reality.
Showcase Your Projects: If you've worked on any relevant projects, especially those involving machine learning or open-source contributions, make sure to mention them. We love seeing real-world applications of your skills!
Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your details and keep track of your application. We can't wait to hear from you!
How to prepare for a job interview at University College London Hospital
✨Know Your Tech Stack
Make sure you’re familiar with R, Python, and SQL, as these are key to the role. Brush up on your data pipeline design skills and be ready to discuss how you’ve used these technologies in past projects.
✨Understand the Clinical Context
Since you'll be working with clinical data, it’s crucial to understand the healthcare environment. Research UCLH and their data needs, and think about how your work can directly impact patient outcomes.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities. Be ready to walk through your thought process on designing data pipelines or improving data quality, showcasing your analytical skills.
✨Showcase Collaboration Skills
This role involves working with a multidisciplinary team, so highlight your experience in collaboration. Share examples of how you've worked with engineers, clinicians, or data scientists to achieve common goals.