Principal Data Engineer - Commercial Effectiveness
Haleon
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15+ years full-time data engineering experience
Bachelor's degree in computer science or engineering
Deep experience with etl processes and controls
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Haleon is seeking a Principal Data Engineer to lead a team in designing and operating scalable data solutions that support analytics and AI initiatives within the company. The ideal candidate will have extensive experience in data engineering, a strong background in cloud technologies, and the ability to manage and mentor a high-performing team.
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Job Summary
This role involves leading a high-performing data engineering team to deliver robust, scalable data solutions that enable analytics and AI use cases across the business.
The successful candidate will own the full data engineering lifecycle within assigned value pools, ensuring data quality, security, and governance are embedded by design.
Haleon is a purpose-driven consumer company focused on delivering better everyday health with humanity through its trusted portfolio of brands like Sensodyne and Panadol.
Matching Summary
Match Score: 75
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Haleon is seeking a Principal Data Engineer to lead a team in designing and operating scalable data solutions that support analytics and AI initiatives within the company. The ideal candidate will have extensive experience in data engineering, a strong background in cloud technologies, and the ability to manage and mentor a high-performing team.
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Skills & Requirements
Must-have
15+ years full-time data engineering experience
Bachelor's degree in Computer Science or Engineering
Deep experience with ETL processes and controls
Continuous improvement tools expertise
Domain knowledge in Commercial Effectiveness or Supply Chain
Nice-to-have
GxP-regulated healthcare technology experience
Agile Scrum and SAFe methodology experience
Strong stakeholder management skills
Site Reliability Engineering expertise
Azure or GCP cloud platform deployment
Key Requirements
Minimum 15 years as a full-time data engineer
Bachelor's degree in Engineering, Mathematics, Statistics, or Computer Science
Proven experience building data solutions for specific Value Pools