Senior Data Engineer
At a glance
Senior Data Engineering role at McKesson. London · full-time · no salary stated · we estimate £86,250–£114,500.
McKesson has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain dependable data pipelines with Snowflake, dbt, Airflow and Python
- Strengthen pipeline reliability through automated tests, monitoring, logging and fixes based on production root causes
- Use controlled CI/CD releases to test and deploy changes, and contribute reusable engineering practices
- Improve data quality and lineage so teams can trace reported figures back to their sources
- Work with technical teams and business colleagues to clarify needs and explain delivery in practical terms
What you bring
- At least seven years of relevant experience, with a degree or equivalent background
- Four or more years in data engineering, including advanced SQL and Python pipeline work
- Hands-on use of Snowflake, dbt and Airflow or a comparable modern data stack
- Experience with cloud data platforms, automated testing and controlled CI/CD releases
Who this fits
This suits a senior, hands-on engineer who can work across technical teams and explain data work to non-technical colleagues. The hybrid role is based in the UK and requires two onsite days each week. You must already have UK work authorization; sponsorship is unavailable.
From the employer
Role Overview
The Senior Data Engineer is a hands-on engineer on the ClarusONE data platform, building and improving the data pipelines the business relies on. You will design and deliver reliable, well-tested pipelines in line with the team's established roadmap, and help the team build and release its work consistently.
You will work within the ClarusONE data governance framework, handling sensitive data responsibly, and collaborate with Analytics, Data Science, Software Engineering, and IT/Infrastructure. You will also speak with colleagues across the business to understand their needs, scope requirements and pain points, and explain your work in clear, practical terms.
Key Responsibilities
Data Engineering & Delivery
- Design and build robust, scalable data pipelines (Snowflake, dbt, Airflow, Python)
- Apply strong practices in test-driven development, monitoring, logging, and observability
- Improve existing pipelines to make them more scalable and reliable
- Support production issues and drive root-cause improvements rather than quick fixes
Engineering Practices & Delivery
- Contribute reusable frameworks and approaches that help the team build consistently
- Work within established patterns and the platform roadmap, suggesting practical improvements along the way
- Use CI/CD pipelines and controlled release processes to test and deploy changes safely
- Share practical approaches with other Data Engineers
Data Quality & Governance
- Contribute to data quality and lineage so figures can be traced back to source
- Handle sensitive data appropriately within the ClarusONE data governance framework, including being thoughtful about how data is used with AI tools
Collaboration & Communication
- Collaborate with Analytics & Data Insights, Software Engineering, and IT/Infrastructure
- Gather requirements from across the business, clarifying scope and pain points
- Show and explain the work you are doing to colleagues in clear, practical terms
(The above statements describe the general nature and level of work being performed in this job. They are not intended to be an exhaustive list of all duties.)
Minimum Requirement
Degree or equivalent and typically requires 7+ years of relevant experience.
Education
Bachelor's degree level or above
Critical Skills
- 4+ years' experience in data engineering
- Advanced SQL and Python, with hands-on experience building and maintaining data pipelines
- Hands-on experience with Snowflake, dbt, and Airflow (or a similar modern data stack)
- Hands-on experience with CI/CD pipelines and controlled release processes, including automated testing
- Experience with test-driven development, monitoring, and troubleshooting production issues
- Experience working on a cloud data platform
- Clear communication skills, including gathering requirements from non-technical colleagues
Desirable
- Databricks / PySpark
- Exposure to Infrastructure as Code or containerised environments
- A thoughtful, measured approach to new tools, including AI, with attention to governance, ethics, and protecting confidential data
Working Arrangements
This is a hybrid role based in the UK, with an expectation of two days per week onsite. Applicants must hold existing right to work in the UK; sponsorship is not available for this position.
McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.
McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.
McKesson job postings are posted on our career site: careers.mckesson.com.
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