Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Create and maintain data pipelines to enhance patient care through innovative solutions.
- Company: Join McKesson Corporation, a leader in healthcare technology.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on collaboration and innovation.
- Why this job: Make a real difference in healthcare by leveraging your data skills.
- Qualifications: Bachelor's degree and 3 years of experience in data roles, with SQL and Python expertise.
The predicted salary is between 45000 - 55000 £ per year.
McKesson Corporation is seeking a Data Engineer to create and maintain data pipelines in their dynamic environment. The role involves building and testing data solutions, supporting production workflows, and collaborating with team members.
Candidates should have a Bachelor's degree and at least 3 years of experience in a data-centric function, with strong skills in SQL and Python. Previous experience in regulated fields is advantageous.
The position offers a chance to impact patient care through innovative data solutions.
Data Engineer - Healthcare Data Pipelines & Insights in London employer: McKesson Corporation
Contact Detail:
McKesson Corporation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Healthcare Data Pipelines & Insights in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at McKesson on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project or case study that highlights your SQL and Python prowess. This can be a great conversation starter during interviews.
✨Tip Number 3
Be ready to discuss real-world applications. Think about how your previous experience in data-centric roles can translate into improving patient care at McKesson.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate candidates who want to make a difference.
We think you need these skills to ace Data Engineer - Healthcare Data Pipelines & Insights in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your SQL and Python skills in your application. We want to see how you've used these tools in your previous roles, especially in data-centric functions.
Tailor Your Experience: When writing your application, focus on your experience in building and testing data solutions. We love seeing how you've tackled challenges in dynamic environments, so share specific examples!
Regulated Fields Matter: If you have experience in regulated fields, don’t forget to mention it! This can give you an edge, as we value candidates who understand the complexities of working in such environments.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at McKesson Corporation
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these tools to build or maintain data pipelines. This will show that you not only understand the theory but also have practical experience.
✨Understand the Healthcare Context
Since this role is within the healthcare sector, it’s crucial to familiarise yourself with how data impacts patient care. Research McKesson Corporation and think about how your work as a Data Engineer can contribute to better healthcare outcomes. This will demonstrate your genuine interest in the role.
✨Prepare for Technical Questions
Expect technical questions related to data engineering, such as how to optimise data pipelines or troubleshoot issues. Practise explaining your thought process clearly and concisely, as communication is key when collaborating with team members.
✨Showcase Your Collaborative Spirit
Collaboration is essential in this role, so be prepared to share examples of how you've worked effectively in teams. Highlight any experiences where you’ve supported production workflows or collaborated on data solutions, as this will resonate well with the interviewers.