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- Tasks: Build and manage Python and 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 data into actionable insights.
- Qualifications: 2-5 years in data engineering with strong Python and SQL skills.
- Other info: On-site role with a focus on privacy-safe data handling.
The predicted salary is between 36000 - 60000 £ 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 in Warrington employer: Impax Recruitment
Contact Detail:
Impax Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Warrington
✨Tip Number 1
Network like a pro! Reach out to folks in the medical AI space on LinkedIn or at local meetups. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects, especially those involving Python and SQL, make sure to share them. It’s a great way to demonstrate your hands-on experience with data pipelines.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of PII/PHI handling. Be ready to discuss your past experiences and how you ensured data privacy in your previous roles.
✨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, we love seeing candidates who take that extra step!
We think you need these skills to ace Data Engineer in Warrington
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Python, SQL, and any work you've done with sensitive data. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific projects where you've built or managed data pipelines. We love seeing real examples of your work, especially if they involve de-identification or anonymisation processes. It helps us understand your hands-on experience!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it's relevant. Make it easy for us to see why you're a great fit for our team!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Impax Recruitment
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've built and run data pipelines, as well as any challenges you faced and how you overcame them.
✨Understand Data Privacy Regulations
Since this role involves handling sensitive medical data, it's crucial to be familiar with PII/PHI regulations. Prepare to explain how you've managed data anonymisation and de-identification in past roles, showcasing your understanding of legal requirements.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss how you've implemented data quality checks and repeatable processes in your previous work. Think of examples where you improved data reliability and efficiency, as this will demonstrate your ownership mentality.
✨Get Familiar with the Company’s Mission
Research the medical AI team and their projects. Understanding their goals and how your role fits into the bigger picture will help you articulate why you're a great fit for the position and show your enthusiasm for the work they do.
