Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and maintain data pipelines for healthcare insights and analytics.
- Company: Join a pioneering healthtech company transforming clinical research.
- Benefits: 25 days holiday, private healthcare, flexible working, and volunteering days.
- Why this job: Make a real impact on healthcare data while growing your skills.
- Qualifications: 3-4 years in data engineering with strong SQL and cloud experience.
- Other info: Collaborative team environment with opportunities for career growth.
The predicted salary is between 36000 - 60000 £ per year.
About usuMed is a healthtech and data platform advancing clinical research through high-quality real-world and patient-generated data. We build secure, scalable data platforms that transform complex patient, survey, and clinical data into actionable insights for researchers, clinicians, and partners.
As a Data Engineer, you will support the development and operation of uMed’s data pipelines and analytics-ready datasets. You will work closely with the Senior Data Engineer, who will provide technical guidance and mentorship while offering opportunities to grow your skills in data ingestion, transformation, and analytics enablement. This role is ideal for someone who enjoys building reliable data pipelines and wants to deepen their experience working on a modern, AWS-based data platform.
- Data Engineering & Pipelines
- Build and maintain data pipelines for structured and semi-structured data (e.g., surveys, EHR extracts, events, and operational systems).
- Support ETL/ELT workflows from source ingestion through to analytics-ready outputs.
- Troubleshoot pipeline failures and data issues, escalating and collaborating where needed.
- Data Modelling & Analytics Support
- Implement data transformations and models based on designs and guidance from the Senior Data Engineer and Product Architect.
- Help maintain analytics-ready datasets in the data warehouse to support reporting and insights.
- Contribute to datasets that support cross-study and cross-region (UK and US) analysis.
- Data Quality & Reliability
- Assist in implementing data quality checks and validation rules.
- Help investigate data discrepancies and ensure data accuracy and consistency.
- Contribute to documentation and data lineage as part of standard delivery.
- Collaboration & Learning
- Work closely with the Senior Data Engineer through code reviews, pairing, and technical feedback.
- Collaborate with product and analytics teams to understand data requirements.
- Follow and apply established best practices in data engineering, testing, and documentation.
Required Qualifications
- 3–4 years of experience in data engineering or closely related roles.
- Solid SQL skills and experience working with analytics-focused datasets.
- Experience building or maintaining data pipelines in a cloud environment (AWS preferred).
- Familiarity with semi-structured data (e.g., JSON, event data).
Technical Stack (Experience With Some of the Following)
- AWS: S3, Redshift, RDS, Athena, DocumentDB (or equivalent).
- Data transformation tools (e.g., dbt or similar).
- Orchestration tools (e.g., Airflow, Step Functions, or similar).
- Python (or similar) for data processing and automation.
- BI tools and analytics enablement (e.g., Zoho Analytics, Tableau, Power BI, or similar).
Nice to Have
- Experience in healthcare, clinical research, or regulated data environments.
- Exposure to data quality frameworks or monitoring.
- Experience working with multi-region data platforms (UK and US).
- Interest in analytics, insights, or AI-enabled data products.
Why Join Us?
- Work on real-world healthcare data to make a meaningful impact.
- Gain experience across the full data lifecycle, from ingestion to analytics.
- Join a collaborative team building a growing data platform.
- 25 days’ holiday, plus your birthday off and bank holidays on top.
- Private healthcare through Vitality.
- 2 paid volunteering days per year.
- A monthly allowance to spend via our flexible benefits portal.
- One day a week working from a coworking space of your choice, if you want to mix up working from home.
- Equipment setup allowance to make your home office work for you.
- Enhanced maternity, paternity, and parental leave.
Data Engineer employer: uMed
Contact Detail:
uMed Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at uMed. A friendly chat can open doors and give you insider info on what they’re really looking for.
✨Tip Number 2
Show off your skills! Prepare a mini portfolio or case studies showcasing your data pipelines and projects. This will help you stand out during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Get familiar with AWS tools! Since uMed is all about that cloud life, brushing up on S3, Redshift, and other AWS services will definitely give you an edge in the application process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Engineer role. Highlight your experience with data pipelines, SQL, and any relevant cloud technologies like AWS. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with our mission at uMed. Keep it concise but engaging – we love a good story!
Showcase Your Projects: If you've worked on any cool data projects, don’t hesitate to mention them! Whether it's building a data pipeline or working with analytics tools, we want to know what you've done and how it relates to the role. Visuals or links to your work can be a great addition!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at uMed
✨Know Your Data Engineering Basics
Make sure you brush up on your core data engineering concepts, especially around building and maintaining data pipelines. Be ready to discuss your experience with SQL and any cloud environments you've worked in, particularly AWS. This will show that you understand the technical requirements of the role.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous roles, especially related to troubleshooting pipeline failures or data discrepancies. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how you resolved issues effectively.
✨Familiarise Yourself with Their Tech Stack
Take some time to research the tools mentioned in the job description, like dbt, Airflow, and various AWS services. If you have experience with these, be ready to discuss it. If not, showing a willingness to learn can go a long way!
✨Emphasise Collaboration and Learning
Since this role involves working closely with a Senior Data Engineer and other teams, be prepared to discuss how you’ve collaborated in the past. Share examples of how you’ve received feedback and used it to improve your work, as well as how you’ve contributed to team projects.
