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- Tasks: Design and implement data pipelines for healthcare datasets.
- Company: Innovative healthcare tech firm in the UK.
- Benefits: Entry-level position with impactful AI projects and career growth.
- Why this job: Make a real difference in healthcare through data engineering.
- Qualifications: Bachelor's degree in a relevant field and data engineering skills.
- Other info: Contract role with opportunities to work on cutting-edge AI solutions.
The predicted salary is between 28800 - 48000 £ per year.
A healthcare technology firm in the United Kingdom is seeking an entry-level Data Engineer to collaborate with teams in designing and implementing data pipelines. The role involves working with healthcare datasets and maintaining databases, ensuring data quality and security.
Candidates should have a Bachelor's degree in a relevant field and a strong foundation in data engineering. This contract position offers the chance to contribute to AI solutions tailored to healthcare, making a meaningful impact in the industry.
Gen AI Data Engineer for Healthcare & Genomics in England employer: InterEx Group
Contact Detail:
InterEx Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Gen AI Data Engineer for Healthcare & Genomics in England
✨Tip Number 1
Network like a pro! Reach out to professionals in the healthcare tech space on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing any projects or coursework related to data engineering. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. Practice explaining your thought process when tackling data problems, especially in healthcare contexts.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to stay updated on new roles.
We think you need these skills to ace Gen AI Data Engineer for Healthcare & Genomics in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant skills and experiences that align with the Data Engineer role. We want to see how your background fits into our mission of improving healthcare through data!
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 AI solutions in healthcare. Let us know what makes you tick!
Showcase Your Projects: If you've worked on any data projects, whether in school or on your own, be sure to mention them. We love seeing practical examples of your skills and how you’ve tackled real-world problems!
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 this exciting opportunity to make an impact in healthcare!
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. Understand concepts like data pipelines, ETL processes, and database management. Being able to discuss these topics confidently will show that you're ready to dive into the role.
✨Familiarise Yourself with Healthcare Datasets
Since you'll be working with healthcare datasets, it’s crucial to understand the types of data you might encounter. Research common healthcare data formats and regulations like HIPAA. This knowledge will help you demonstrate your commitment to data quality and security during the interview.
✨Prepare for Technical Questions
Expect technical questions related to data engineering tools and languages. Brush up on SQL, Python, or any relevant technologies mentioned in the job description. Practising coding challenges or data manipulation tasks can give you an edge.
✨Show Your Passion for AI in Healthcare
This role is all about contributing to AI solutions in healthcare, so be prepared to discuss why this excites you. Share any projects or experiences that highlight your interest in using data to make a difference in the healthcare industry.
