Pne Data Foundations Sr. Lead H/F Mars

Détail du poste

Description de poste :

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.

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 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.

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 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.

What can you expect from Mars?
- 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.

#TBDDT

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