PNE Data Foundations Sr. Lead

The PNE Data Foundations Sr Lead ensures that Pet Nutrition Europe (PNE) has a strong, governed, and scalable data foundation to enable high-quality 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., * 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 knowledge-sharing, 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 self-service capabilities.
• Monitoring & Data Quality Assurance: Implement data validation, lineage tracking, and anomaly detection mechanisms to ensure high data quality across PNE analytics initiatives.

Do you have experience in Spark?, Do you have a Bachelor's degree?, * 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 hands-on expertise in cloud-based 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.

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