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- Tasks: Build and manage Python + SQL pipelines for medical AI datasets.
- Company: Join a pioneering medical AI team in Manchester.
- Benefits: Competitive salary, hands-on experience, and a chance to make a difference.
- Why this job: Play a crucial role in transforming healthcare with data-driven solutions.
- Qualifications: 2–5 years in data engineering with strong Python and SQL skills.
- Other info: On-site role with opportunities for professional growth.
The predicted salary is between 36000 - 60000 ÂŁ per year.
I’m hiring a Data Engineer for a medical AI team based in Manchester (on-site). This isn’t a “big data” role — it’s a high-ownership position focused on getting raw medical/imaging + metadata into clean, reliable, privacy-safe datasets so the AI team can iterate and ship faster.
What you’ll be doing:
- Building and running Python + SQL pipelines (ingest → clean → validate → output)
- Owning de-identification / anonymisation workflows (PII/PHI) — the team cannot legally view patient-identifying info
- Implementing data quality checks and repeatable processes (not one-off scripts)
What they’re looking for:
- Roughly 2–5 years in data engineering
- Strong Python + SQL and hands-on ETL/ELT
- Experience with sensitive/regulated data (healthcare/NHS ideal) and can explain how you’ve handled PII/PHI
- Comfortable on-site in Manchester (Mon–Fri)
If you’re open to a quick chat (or know someone who is), message me directly.
Data Engineer employer: Impax Recruitment
Contact Detail:
Impax Recruitment 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 medical AI space on LinkedIn or at local meetups. We can’t stress enough how personal connections can lead to job opportunities, so don’t be shy!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and SQL projects, especially those involving sensitive data. We want to see how you’ve tackled real-world problems, so make it shine!
✨Tip Number 3
Prepare for the chat! Research the company and the role thoroughly. We need to know you’re genuinely interested in the position and can discuss how your experience aligns with their needs.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect directly with us.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and ETL/ELT processes. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Showcase Your Experience with Sensitive Data: Since this role involves handling PII/PHI, it’s crucial to explain your experience with sensitive data. We’re looking for specific examples of how you’ve managed privacy and compliance in your previous roles.
Keep It Clear and Concise: When writing your application, clarity is key! Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point.
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 shows you’re keen on joining our team!
How to prepare for a job interview at Impax Recruitment
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and SQL, as these are crucial for the role. Brush up on your ETL/ELT processes and be ready to discuss specific projects where you've built or managed data pipelines.
✨Understand Data Privacy Regulations
Since this role involves handling sensitive medical data, it’s essential to know about PII and PHI regulations. Be prepared to explain how you’ve ensured data privacy in your previous roles and any specific techniques you’ve used for de-identification.
✨Showcase Your Problem-Solving Skills
Think of examples where you’ve implemented data quality checks or repeatable processes. The interviewers will want to see how you approach challenges, so have a few scenarios ready that highlight your analytical thinking and attention to detail.
✨Be Ready for Practical Questions
Expect some technical questions or even a coding challenge during the interview. Practise writing code on a whiteboard or in a shared document, as this will help you articulate your thought process clearly while solving problems.
