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- Tasks: Create and maintain data pipelines to support business functions and analytics.
- Company: Join McKesson, a leader in the pharmaceutical supply chain.
- Benefits: Competitive salary, health benefits, and opportunities for innovation.
- Other info: Collaborative environment with a focus on cutting-edge cloud technologies.
- Why this job: Make a real impact on healthcare by optimising data infrastructure.
- Qualifications: 3+ years in a data role, strong SQL and Python skills required.
The predicted salary is between 50000 - 60000 £ per year.
McKesson’s Corporate is seeking a Data Engineer in Greater London to create and maintain data pipelines supporting various business functions. The role involves monitoring the production environment and working closely with analytics and data science teams to ensure an efficient data infrastructure.
Candidates should have at least 3 years of experience in a data-centric role, strong coding skills in SQL and Python, and experience with cloud-based data technologies like Snowflake. This position supports innovation in the pharmaceutical supply chain.
Data Engineer: Build Scalable Pipelines & Analytics employer: McKesson’s Corporate
Contact Detail:
McKesson’s Corporate Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Build Scalable Pipelines & Analytics
✨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 experience with SQL, Python, and cloud technologies. This will make you stand out in interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common data engineering interview questions. We can help you with mock interviews to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have tips and resources available to help you along the way.
We think you need these skills to ace Data Engineer: Build Scalable Pipelines & Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data-centric roles, especially with SQL and Python. We want to see how your skills align with the job description, 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 data engineering and how you can contribute to our innovative work in the pharmaceutical supply chain. Keep it engaging and personal.
Showcase Your Technical Skills: Since we’re looking for someone with strong coding skills and experience with cloud technologies like Snowflake, make sure to include specific examples of your work with these tools. We love seeing real-world applications of your skills!
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 follow the prompts!
How to prepare for a job interview at McKesson’s Corporate
✨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 languages, especially in building data pipelines or working with cloud technologies like Snowflake.
✨Understand the Business Impact
Since this role supports innovation in the pharmaceutical supply chain, it’s crucial to understand how data engineering impacts business functions. Prepare examples of how your work has contributed to business outcomes in previous roles.
✨Showcase Collaboration Skills
This position involves working closely with analytics and data science teams. Be prepared to share experiences where you collaborated effectively with cross-functional teams, highlighting your communication skills and teamwork.
✨Prepare for Technical Questions
Expect technical questions related to data pipeline architecture and troubleshooting. Practice explaining your thought process clearly and concisely, as this will demonstrate your problem-solving abilities and technical expertise.