PNE Data Foundations Sr. Lead

Mars; Haguenau; Sur place; EUR 80 000 - 110 000; Plein temps

Résumé du poste

A multinational food company is looking for a Senior Lead to ensure strong data foundations for Pet Nutrition Europe. This role involves overseeing data governance, architecture, and engineering, while collaborating with global teams. Ideal candidates have 5+ years of experience in data management and proficiency in cloud platforms like Azure and AWS. Competitive salary and benefits offered.

Prestations

Best-in-class learning and development support

Competitive salary and benefits package

Access to Mars University

Qualifications

• 5+ years of experience in data engineering, analytics, or data management.
• Hands-on expertise in cloud-based data platforms.
• Experience with data governance frameworks and best practices.

Responsabilités

• Ensure all PNE data assets follow the governance frameworks.
• Oversee the design, development, and maintenance of data pipelines.
• Act as the connection between AOE D&A and PNE.

Connaissances

Data engineering

Data governance

Data architecture

SQL

Python

Cloud platforms

Data quality frameworks

Stakeholder management

Formation

University degree in business or IT

Outils

Azure

AWS

GCP

Snowflake

Description du poste

Job Description

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.