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- Tasks: Design and build data models for healthcare datasets in a fast-paced startup.
- Company: Tech-for-good startup focused on impactful healthcare solutions.
- Benefits: Fully remote work with bi-weekly meet-ups and immediate start.
- Why this job: Make a real-world impact while working with sensitive healthcare data.
- Qualifications: Experience with healthcare data, Python, SQL, and data privacy techniques.
- Other info: Ideal for those who thrive in dynamic environments and enjoy problem-solving.
The predicted salary is between 50000 - 70000 ÂŁ per year.
Role: Senior Data Engineer (Healthcare / OMOP)
Contract: 3 months (initial)
Location: Mainly Remote (London Office meet-up twice per month)
Start: ASAP
Overview
We’re hiring a hands‑on Senior Data Engineer to support the build and delivery of a healthcare data product in a fast‑moving, tech‑for‑good startup environment. This role is fully hands‑on and requires someone comfortable working with sensitive, regulated data, owning problems end‑to‑end, and operating without heavy structure or support. You’ll work closely with product and stakeholders to translate user requirements into scalable data solutions.
Key Responsibilities
- Design and build data models and pipelines for healthcare datasets
- Work with sensitive data, ensuring compliance with data privacy and security standards
- Implement and maintain data linkage, access, and transformation processes
- Apply anonymisation techniques (e.g. k‑anonymity) where required
- Translate user and product requirements into data solutions
- Contribute to the development of data products used by end users
- Work closely with stakeholders in a startup environment, iterating quickly and pragmatically
Key Requirements
- Strong experience working with healthcare or highly regulated data
- Hands‑on expertise with Python and SQL
- Experience in data modelling and data warehousing
- Understanding of OMOP / common data models / OHDSI (or similar healthcare data standards)
- Experience with data access, linkage, and data treatment processes
- Knowledge of data privacy and anonymisation techniques (e.g. k‑anonymity)
- Strong communication skills and ability to work closely with non‑technical stakeholders
Ideal Profile
- Experience working in startup or scale‑up environments
- Comfortable with ambiguity and working without a "safety net"
- Strong problem‑solving mindset and ability to challenge requirements constructively
- Experience building end‑to‑end data products
Additional Information
- Fully remote, with bi‑weekly meet‑ups in London
- Immediate start preferred
- Opportunity to work on a high‑impact, tech‑for‑good product with real‑world outcomes
Data Engineer (Healthcare Data Standards) employer: Arrows
Contact Detail:
Arrows Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Healthcare Data Standards)
✨Tip Number 1
Network like a pro! Reach out to folks in the healthcare data space on LinkedIn or at meet-ups. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or contributions, make sure to highlight them during interviews. We want to see how you’ve tackled real-world problems with your data engineering expertise.
✨Tip Number 3
Prepare for those tricky questions! Brush up on your knowledge of healthcare data standards and anonymisation techniques. We know it can be daunting, but being well-prepared will help you shine in interviews.
✨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 connect directly with us.
We think you need these skills to ace Data Engineer (Healthcare Data Standards)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior Data Engineer. Highlight your experience with healthcare data, Python, and SQL, and don’t forget to mention any work with data privacy and compliance. We want to see how your skills match our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about working in a tech-for-good startup and how your background makes you a perfect fit for this role. Keep it concise but impactful – we love a good story!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles, especially in ambiguous situations. We’re looking for someone who can own problems end-to-end, so let us know how you’ve done that before!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Arrows
✨Know Your Data Standards
Make sure you brush up on healthcare data standards like OMOP and OHDSI. Being able to discuss these frameworks confidently will show that you understand the nuances of working with regulated data, which is crucial for this role.
✨Showcase Your Technical Skills
Prepare to demonstrate your hands-on expertise with Python and SQL. Consider bringing examples of past projects where you've built data models or pipelines, as this will help illustrate your practical experience and problem-solving abilities.
✨Understand Compliance and Privacy
Familiarise yourself with data privacy regulations and anonymisation techniques like k-anonymity. Be ready to discuss how you've ensured compliance in previous roles, as this is a key aspect of handling sensitive healthcare data.
✨Communicate Effectively
Since you'll be working closely with non-technical stakeholders, practice explaining complex data concepts in simple terms. This will demonstrate your strong communication skills and ability to bridge the gap between technical and non-technical teams.