Data Platform Engineering Manager (Deputy General Manager)

Global Reach: Influences data strategy and operations across Bunge's global footprint. Business Impact: Directly impacts data-driven decision-making across all business units. Team Leadership: Manages a team of Data Engineers. Be recognized as an external thought leader at Data Engineering and Lake-House architecture in Google Cloud. Help shape Data Platform roadmap and vision

Business Impact: Directly impacts data-driven decision-making across all business units.

Team Leadership: Manages a team of Data Engineers.

Be recognized as an external thought leader at Data Engineering and Lake-House architecture in Google Cloud.

Help shape Data Platform roadmap and vision

Major Opportunities and Decisions: Influence the future direction of Bunge's data platform architecture. Lead the adoption of cutting-edge data technologies. Develop and mentor a high-performing engineering team. Ensure an excellence in the Data Platform operation at global scale

Influence the future direction of Bunge's data platform architecture.

Lead the adoption of cutting-edge data technologies.

Develop and mentor a high-performing engineering team.

Ensure an excellence in the Data Platform operation at global scale

Management/Leadership: Leadership Style: Collaborative, empowering, results-oriented. Mentorship and development of team members. Lead Data Strategy and Data Modeling in the Bunge Data Platform Leads technical discussion across other data Engineer to ensure best practices, approaches, and implementation. Contributes to talent management plans to support business strategies.

Leadership Style: Collaborative, empowering, results-oriented.

Mentorship and development of team members.

Lead Data Strategy and Data Modeling in the Bunge Data Platform

Leads technical discussion across other data Engineer to ensure best practices, approaches, and implementation.

Contributes to talent management plans to support business strategies.

Key Relations: Internal: Business stakeholders, Data Science team, IT infrastructure teams. External: Technology vendors, industry partners.

Internal: Business stakeholders, Data Science team, IT infrastructure teams.

External: Technology vendors, industry partners.

Knowledge and Technical Competencies: Cloud Platforms: GCP (Preferred), AWS or Azure Data Engineering Tools: Very strong and hands-on experience in Google Cloud Data Analytics: Big Query, DataStream, DataProc Skilled in SQL, Python, and DBT/DataForm Experience in complex event-driven data pipeline orchestrations. Data Warehousing and Data Lake Technologies: BigQuey (Preferred), Snowflake Data Governance and Security: Best practices and implementation in Cloud Environments Software Development Lifecycle (SDLC): Agile methodologies Experience in IaC in Data using Terraform Deep understanding of data mesh concepts and modern Lake-House data Architecture Deep understanding of Kappa Architecture and experience in CDC ingestion

Cloud Platforms: GCP (Preferred), AWS or Azure

Data Engineering Tools: Very strong and hands-on experience in Google Cloud Data Analytics: Big Query, DataStream, DataProc

Skilled in SQL, Python, and DBT/DataForm

Experience in complex event-driven data pipeline orchestrations.

Data Warehousing and Data Lake Technologies: BigQuey (Preferred), Snowflake

Data Governance and Security: Best practices and implementation in Cloud Environments

Software Development Lifecycle (SDLC): Agile methodologies

Experience in IaC in Data using Terraform

Deep understanding of data mesh concepts and modern Lake-House data Architecture

Deep understanding of Kappa Architecture and experience in CDC ingestion

Education & Experience:

Bachelor's degree in Computer Science, Information Technology, or related field. Master's degree preferred.

7+ years of experience in data engineering, with at least 3 years in a management role.

Experience building and managing large-scale Data Platforms in a cloud environment.

Proven ability to lead and develop high-performing engineering teams.

Excellent communication, interpersonal, and stakeholder management skills.

At Bunge (NYSE: BG), our purpose is to connect farmers to consumers to deliver essential food, feed and fuel to the world. As a premier agribusiness solutions provider, our team of ~34,000 dedicated employees partner with farmers across the globe to move agricultural commodities from where they’re grown to where they’re needed—in faster, smarter, and more efficient ways. We are a world leader in grain origination, storage, distribution, oilseed processing and refining, offering a broad portfolio of plant-based oils, fats, and proteins. We work alongside our customers at both ends of the value chain to deliver quality products and develop tailored, innovative solutions that address evolving consumer needs. With 200+ years of experience and presence in over 50 countries, we are committed to strengthening global food security, advancing sustainability, and helping communities prosper where we operate. Bunge has its registered office in Geneva, Switzerland and its corporate headquarters in St. Louis, Missouri. Learn more at Bunge.com.

Every day our people exemplify these values, which represent Bunge at its core:

• We Are One Team – Collaborative, Respectful, Inclusive • We Lead The Way – Agile, Empowered, Innovative • We Do What’s Right – Safety, Sustainability, With Integrity

If this sounds like you, join us! We value and invest in people who believe in our purpose and are excited to live it every day – people who are #ProudtoBeBunge

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