Sustainability Data Engineer

About the Role:

Barry Callebaut’s Forever Chocolate strategy includes strong commitments towards generating a living income for cocoa farmers, protecting human rights and children’s rights, becoming forest positive, decarbonizing our carbon footprint to become a net-zero company and having 100% certified or verified ingredients in all our products, traceable to farm level.

The Sustainability Data Engineer supports the design, structure and optimization of the sustainability data environment at global level. By ensuring that the sustainability team has access to real-time and reliable data on their activities, the Sustainability Data Engineer will contribute directly to Barry Callebaut sustainability ambitions.     

Key Responsibilities include:

Data Architecture and Pipeline Management:

• Contribute to the development and maintenance of the data pipeline and sustainability KPI reporting
• Support the design and upkeep of the data model for sustainability
• Develop the data pipeline that automatically connects, transforms and consolidates the data from collection to analytics
• Provide training on the data pipeline to the relevant user groups

Data Strategy:

• Contribute to the implementation of the sustainability data digitization roadmap
• Support efforts to improve data quality within sustainability
• Participate in projects to implement or change processes and/or tools
• Assist in applying a data governance framework to ensure compliance with internal and external regulations

Cross-functional Collaboration:

• Work closely with the Sustainability Data Architect to ensure optimal implementation of the data pipeline
• Collaborate with and support the Monitoring and Evaluation teams in the cocoa origin countries so that they use the analytics platform effectively
• Collaborate with the Digital department to ensure that the correct infrastructure is in place for sustainability needs

About You:

• University degree in Computer Science, Engineering or related field
• 5+ years of relevant experience
• Proven experience working as a Data Engineer, Data Architect, or similar role, with focus on designing and building data pipelines and architectures
• Solid understanding of cloud computing platforms (preferably Microsoft Azure)
• Proficiency in programming and scripting languages (Python, Spark, SQL)
• Familiarity with data modeling techniques, ETL principles and data warehousing concepts
• Experience with implementing CI/CD pipelines and version control systems (e.g. Git)
• Hands-on experience with Databricks (nice to have)
• Fluency in English. Fluency in French or other languages is an asset