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- Tasks: Collaborate on developing data pipelines and AI solutions in healthcare.
- Company: Leading healthcare data provider in Greater London.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Why this job: Make a real difference in healthcare with innovative AI and genomics projects.
- Qualifications: Bachelor's degree in a related field and strong SQL skills.
- Other info: Ideal for those with a background in healthcare or insurance.
The predicted salary is between 36000 - 60000 £ per year.
A healthcare data provider in Greater London seeks a Data Engineer to collaborate with cross-functional teams on developing data pipelines and AI solutions in the healthcare sector. The ideal candidate will possess a Bachelor's degree in a related field and a strong foundation in data engineering, including SQL. This role offers the opportunity to work with diverse healthcare datasets, contributing to innovative methodologies in AI and genomics. Candidates with a background in healthcare or insurance will find this role particularly appealing.
Gen AI Healthcare Data Engineer employer: InterEx Group
Contact Detail:
InterEx Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Gen AI Healthcare Data Engineer
✨Tip Number 1
Network like a pro! Reach out to professionals in the healthcare data field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those related to healthcare. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data pipeline knowledge. We recommend practising common interview questions and even doing mock interviews with friends to build confidence.
✨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 are proactive about their job search!
We think you need these skills to ace Gen AI Healthcare Data Engineer
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your data engineering skills, especially your SQL expertise. We want to see how your background aligns with the role, so don’t hold back on showcasing your experience with healthcare datasets!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention any relevant projects or experiences that relate to AI solutions in healthcare. This helps us see how you fit into our team and the exciting work we do.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. This makes it easier for us to understand your qualifications and enthusiasm for the role.
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’s super easy to do!
How to prepare for a job interview at InterEx Group
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering fundamentals, especially SQL. Be ready to discuss how you've used these skills in past projects, particularly in healthcare contexts. This will show that you understand the technical requirements of the role.
✨Familiarise Yourself with AI in Healthcare
Since this role involves developing AI solutions, it’s crucial to have a grasp of how AI is applied in the healthcare sector. Research recent advancements and be prepared to share your thoughts on how they could impact data engineering practices.
✨Prepare for Team Collaboration Questions
As you'll be working with cross-functional teams, expect questions about teamwork and collaboration. Think of examples where you've successfully worked with others, especially in diverse settings, and how you contributed to achieving common goals.
✨Show Your Passion for Healthcare
Demonstrate your enthusiasm for the healthcare industry. Share any relevant experiences or projects that highlight your interest in healthcare data and how you see yourself contributing to innovative methodologies in AI and genomics.
