Senior Cloud Data Platform Engineer - AI/ML Enablement

McKesson Medical-Surgical Inc.; Cork; On-site; EUR 73,000 - 122,000; Full time

Job summary

McKesson is seeking a Data Engineering – Level 4 to lead design and optimization of enterprise data platforms in a regulated healthcare environment. You will partner with architects, data scientists, analysts and engineers to deliver scalable, secure data solutions powering analytics, AI/ML initiatives and operational reporting.

Responsibilities include building cloud-native platforms using Azure Databricks, Snowflake, Azure Data Factory and Azure Data Lake Storage; establishing data governance,

Qualifications

• 7+ years of professional experience in Data Engineering or related fields.
• Bachelor's degree in computer science, IT, engineering, or related field, or equivalent experience.
• Experience designing and implementing enterprise-scale data platforms in the cloud.
• Advanced proficiency in SQL and Python.
• Experience with cloud-based data platforms such as Azure Databricks, Snowflake, Azure Data Factory or similar.
• Experience with data modeling, metadata management, and data integration across multiple systems.
• Experience implementing data quality, governance, security, and compliance controls.
• Proven ability to troubleshoot and resolve complex data and platform issues.

Responsibilities

• Design, build, and optimize scalable cloud-native data platforms for analytics.
• Lead modernization, migration, and platform transformation initiatives.
• Engineer and maintain data platforms leveraging Azure Databricks, Snowflake, Azure Data Factory, and Azure Data Lake Storage.
• Implement data governance, metadata management, data quality controls, and security practices.
• Partner with data scientists and analytics teams to enable AI, ML, and advanced reporting.
• Troubleshoot complex data platform and production issues, performing root cause analysis.
• Drive automation, CI/CD, DataOps, and platform modernization initiatives.
• Mentor engineers and influence adoption of engineering standards and best practices.

Skills

Advanced SQL

Python

Azure Databricks

Snowflake

Azure Data Factory

Azure Data Lake Storage

Data Modeling

Data Governance

Data Quality

Security

ETL/ELT

CI/CD

DataOps

Mentoring

Leadership

Education

Bachelor's degree in Computer Science / IT / Engineering

Tools

Azure Databricks

Snowflake

Azure Data Factory

Azure Data Lake Storage

Job description

McKesson is seeking a Data Engineering – Level 4 to lead design and optimization of enterprise data platforms in a regulated healthcare environment. You will partner with architects, data scientists, analysts and engineers to deliver scalable, secure data solutions powering analytics, AI/ML initiatives and operational reporting.

Responsibilities include building cloud-native platforms using Azure Databricks, Snowflake, Azure Data Factory and Azure Data Lake Storage; establishing data governance,