At a Glance
- Tasks: Build scalable data pipelines and enhance engineering standards for reliability and security.
- Company: Join McKesson, a leader in healthcare technology and innovation.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Be part of a dynamic team driving impactful change in healthcare.
- Why this job: Shape the future of data governance while collaborating with diverse teams.
- Qualifications: Experience in data engineering and strong collaboration skills required.
The predicted salary is between 63000 - 77000 £ per year.
Mc Kesson is seeking a Senior Data Engineer who acts as the technical owner of the Clarus ONE data platform.
You will build scalable data pipelines and raise engineering standards for reliability, security, and quality while shaping the platform’s future.
You’ll own architecture patterns, implement best practices, and ensure data lineage and governance.
This hybrid UK role requires strong collaboration with Finance, Analytics, Data Science, Software Eng, and IT teams.
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Platform Engineer: Scalable Data Pipelines & Governance employer: McKesson’s Corporate
At McKesson, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. Our employees benefit from comprehensive growth opportunities, competitive compensation, and a commitment to work-life balance, all set within the dynamic environment of our Corporate headquarters. Join us to make a meaningful impact in the sourcing landscape while working alongside talented professionals dedicated to excellence in the retail and pharmaceutical sectors.
StudySmarter Expert Advice🤫
We think this is how you could land Platform Engineer: Scalable Data Pipelines & Governance
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Platform Engineer: Scalable Data Pipelines & Governance
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at McKesson’s Corporate, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at McKesson’s Corporate. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at McKesson’s Corporate
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at McKesson’s Corporate!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
