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- Tasks: Develop and manage data pipelines for AI-driven healthcare solutions.
- Company: Join a leading healthcare infrastructure organisation focused on innovation.
- Benefits: Enjoy a competitive salary, hybrid work, and great benefits.
- Why this job: Make a real difference in healthcare with cutting-edge data technology.
- Qualifications: 7-8 years in data engineering, advanced Python and SQL skills required.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 60000 - 90000 £ per year.
A healthcare infrastructure organization is seeking an experienced Data Engineer to develop and manage data pipelines and warehouse solutions. You will work closely with stakeholders to ensure high-quality data solutions are in place supporting analytics and AI initiatives.
The ideal candidate will have:
- 7-8 years in data engineering
- Advanced Python and SQL skills
- Hands-on experience with Azure services
- Excellent communication skills
The role offers a salary of £75,000 plus benefits in a supportive and collaborative hybrid work environment.
Senior Data Engineer — AI-Driven Healthcare Data Platform in Altrincham employer: Addition
Contact Detail:
Addition Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer — AI-Driven Healthcare Data Platform in Altrincham
✨Tip Number 1
Network like a pro! Reach out to your connections in the healthcare and data engineering fields. Attend industry meetups or webinars to meet potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects, especially those using Python, SQL, and Azure. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex data concepts in simple terms, as you'll need to collaborate with stakeholders who may not be data-savvy.
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets noticed!
We think you need these skills to ace Senior Data Engineer — AI-Driven Healthcare Data Platform in Altrincham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with Python, SQL, and Azure. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI-driven healthcare solutions and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Communication Skills: Since this role involves working closely with stakeholders, make sure to highlight any experiences where you’ve effectively communicated complex data concepts. We love seeing how you can bridge the gap between tech and non-tech folks!
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 – just a few clicks and you’re done!
How to prepare for a job interview at Addition
✨Know Your Data Engineering Fundamentals
Brush up on your data engineering principles, especially around data pipelines and warehouse solutions. Be ready to discuss your experience with Azure services and how you've implemented them in past projects.
✨Showcase Your Python and SQL Skills
Prepare to demonstrate your advanced Python and SQL skills during the interview. You might be asked to solve a problem or explain how you've used these languages to optimise data processes in your previous roles.
✨Communicate Effectively with Stakeholders
Since this role involves working closely with stakeholders, practice articulating complex technical concepts in simple terms. Think of examples where you successfully collaborated with non-technical teams to deliver data solutions.
✨Familiarise Yourself with AI Initiatives
Understand the basics of AI and how it relates to healthcare data. Be prepared to discuss any relevant projects you've worked on that involved analytics or AI, showcasing your ability to support these initiatives through your data engineering work.
