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For Companies At a Glance
- Tasks: Build and maintain data pipelines for healthcare data, transforming it into actionable insights.
- Company: Join a pioneering healthtech company revolutionising clinical research with real-world data.
- Benefits: Enjoy 25 days holiday, private healthcare, flexible working, and a monthly benefits allowance.
- Why this job: Make a meaningful impact on healthcare while gaining hands-on experience in data engineering.
- Qualifications: 3-4 years in data engineering, solid SQL skills, and cloud experience (AWS preferred).
- Other info: Collaborative team environment with opportunities for mentorship and 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.
Who we are looking for
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.
Requirements
- 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
- Core Requirements
- 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.
Benefits
- 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 in London employer: uMed
Contact Detail:
uMed Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already at UsuMed. 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! If you’ve got a portfolio or GitHub with projects related to data engineering, make sure to highlight that in conversations. It’s a great way to demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical chats! Brush up on your SQL and data pipeline knowledge. Be ready to discuss how you've tackled challenges in past roles, especially around data quality and reliability.
✨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 at UsuMed.
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data pipelines, SQL skills, and any relevant cloud technologies like AWS. We want to see how your background aligns with what we're looking for!
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 you can contribute to our mission at UsuMed. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any cool data projects, don’t forget 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. Share links if you can!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at uMed
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering fundamentals, 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 core requirements of the role.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific instances where you've troubleshot pipeline failures or data issues. Think of examples where you collaborated with others to resolve discrepancies. This will demonstrate your ability to handle challenges and work well in a team.
✨Familiarise Yourself with Their Tech Stack
Take some time to learn about the tools mentioned in the job description, like dbt, Airflow, and Python. If you have experience with these, be ready to share how you've used them in past projects. If not, showing enthusiasm to learn can go a long way!
✨Understand the Bigger Picture
Since this role involves working with healthcare data, it’s beneficial to understand the impact of your work. Research UsuMed and think about how data engineering contributes to clinical research and patient outcomes. This will help you connect your skills to their mission during the interview.
