Senior Data Platform Engineer — Cloud & AI Analytics

Mckesson Corporation; Cork; On-site; EUR 73,000 - 122,000; Full time

Job summary

McKesson in Cork, Ireland, is seeking a Data Engineering – Level 4 to design, build, and optimize enterprise-scale data platforms powering analytics, AI/ML initiatives, and data-driven decision making. You will work with architects, data scientists, and engineering teams in a regulated healthcare environment.

Responsibilities include designing cloud-native data platforms, modernization efforts, data governance, and CI/CD practices, while mentoring engineers and ensuring security and compliance

Qualifications

• 7+ years of professional experience in data engineering or related fields.
• Bachelor's degree in computer science, IT, engineering, or related field.
• Experience designing and implementing enterprise-scale data platforms in the cloud.
• Advanced proficiency in SQL and Python.
• Experience with Azure Databricks, Snowflake, and Azure Data Factory.
• Experience with data governance, metadata management, and data integration across systems.
• Healthcare or regulated industry experience preferred.

Responsibilities

• Design, build, and optimize scalable cloud-native data platforms for analytics.
• Lead modernization and platform transformation initiatives.
• Engineer and maintain data platforms using Azure Databricks, Snowflake, and Azure Data Factory.
• Implement data governance, metadata management, and data quality controls.
• Collaborate with data scientists and analytics teams to enable AI/ML initiatives.
• Mentor engineers and promote engineering standards and best practices.

Skills

Azure Databricks

Snowflake

Azure Data Factory

Python

SQL

Data Engineering experience

Education

Bachelor's degree in Computer Science or related field

Tools

Azure Databricks

Snowflake

Azure Data Factory

Azure Data Lake Storage

Job description

McKesson in Cork, Ireland, is seeking a Data Engineering – Level 4 to design, build, and optimize enterprise-scale data platforms powering analytics, AI/ML initiatives, and data-driven decision making. You will work with architects, data scientists, and engineering teams in a regulated healthcare environment.

Responsibilities include designing cloud-native data platforms, modernization efforts, data governance, and CI/CD practices, while mentoring engineers and ensuring security and compliance