The PNE Data Foundations Sr Lead ensures that Pet Nutrition Europe (PNE) has a strong governed and scalable data foundation to enable highquality analytics and insights. This role is critical in bridging the gap between the AOE D&A data team and PNE ensuring alignment with global data models governance principles and strategic data initiatives such as the DDF (Digital Data Foundation) program.

What are we looking for

• Preferred education Is a university degree In business or IT

• Strong background in data engineering data governance and data architecture ideally in a multinational or matrixed organization.

• 5 years of experience in data engineering analytics or data management with handson expertise in cloudbased data platforms (e.g. Azure AWS GCP Snowflake).

• Proven expertise in designing developing and maintaining scalable data pipelines ETL/ELT processes and integrations to support advanced analytics.

• Experience with data governance frameworks master data management (MDM) metadata management and ensuring data compliance with global standards.

• Deep understanding of SQL Python Spark or other relevant data processing technologies used for data transformation and analytics enablement.

• Familiarity with modern data architectures including data lakes data warehouses and data mesh principles.

• Experience working with global and regional teams to align on data strategy governance and best practices.

• Strong knowledge of data quality frameworks and best practices for ensuring high integrity reliability and consistency of data assets.

What will be your key responsibilities

• Data Governance & Compliance: Ensure all PNE data assets follow the governance frameworks data quality standards and security policies defined by the AOE D&A data team.

• Data Model & Architecture Alignment: Ensure that analytics solutions within PNE fully leverage the data models governance structures and best practices established at the AOE level.

• Data Engineering & Infrastructure: Oversee the design development and maintenance of data pipelines integrations and ETL processes to ensure efficient data flow and accessibility for analytics use cases.

• Collaboration & Stakeholder Management: Act as the key connection between AOE D&A and PNE facilitating knowledgesharing alignment and implementation of strategic data initiatives including the DDF program.

• Data Platform Optimization: Work closely with AOE data teams and PNE analytics teams to optimize the data infrastructure ensuring performance scalability and cost efficiency.

• Metadata & Asset Management: Drive consistent metadata management and data asset governance ensuring data reliability accessibility and standardization across PNE.

• Enablement & Best Practices: Educate and support the PNE teams in data stewardship best practices ensuring they effectively leverage governed data assets and selfservice capabilities.

• Monitoring & Data Quality Assurance: Implement data validation lineage tracking and anomaly detection mechanisms to ensure high data quality across PNE analytics initiatives.

What can you expect from Mars

• Work with diverse and talented Associates all guided by the Five Principles.
• Join a purpose driven company where were striving to build the world we want tomorrow today.
• Bestinclass learning and development support from day one including access to our inhouse Mars University.
• An industry competitive salary and benefits package including company bonus.

#TBDDT

Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability status protected veteran status or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability it is available upon request. The company is pleased to provide such assistance and no applicant will be penalized as a result of such a request.