Company Description

Syngenta is a global leader in agricultural innovation with a presence in more than 90 countries. Syngenta is focused on developing technologies and farming practices that empower farmers, so they can make the transformation required to feed the world’s population while preserving our planet. Its bold scientific discoveries deliver better benefits for farmers and society on a bigger scale than ever before. Guided by its Sustainability Priorities, Syngenta is developing new technologies and solutions that support farmers to grow healthier plants in healthier soil with a higher yield. Syngenta Crop Protection is headquartered in Basel, Switzerland; Syngenta Seeds is headquartered in the United States. Read our stories and follow us on LinkedIn, Instagram & X. 

We make a difference 

At Syngenta, our goal is to build the most collaborative and trustworthy team in agriculture, providing top-quality seeds and innovative crop protection solutions that improve farmers' success. To support this mission, Syngenta’s CPD is seeking for a Data Engineer.

Job Description

Location: São Paulo – BR

About This Job:

The Data Engineer supports the design and maintenance of data pipelines and infrastructure that enable accurate, timely, and reliable data for analytics and decision-making within the Vegetable R&D IT organization. This role focuses on building and optimizing data workflows that integrate diverse datasets such as breeding, trial, genomic, and phenotypic data. You will help transform raw research data into structured, accessible formats for scientists, analysts, and business teams, ensuring compliance with data governance and security standards. Collaboration is key—you’ll work closely with breeders, data scientists, and IT teams to understand requirements and deliver solutions that accelerate innovation in vegetable seed development. This position emphasizes continuous learning, adaptability, and operational discipline, providing a strong foundation for growth into advanced data engineering roles.

The ideal candidate will:

• Data Pipeline Development: Assist in building and maintaining ETL/ELT pipelines for R&D datasets; support automation and troubleshooting.
• Data Infrastructure Support: Help maintain cloud or on-prem data platforms; assist with database optimization and storage solutions for breeding and trial data.
• Data Quality & Governance: Implement validation checks for research datasets; document schemas and lineage; follow security and compliance standards.
• Collaboration & Support: Work with breeders, data scientists, and IT stakeholders to clarify requirements; participate in code reviews and knowledge sharing.
• Continuous Learning: Explore new tools and technologies relevant to agricultural data; apply feedback to improve reliability and maintainability.

WL3A

Critical technical, professional and personal capabilities

• Technical Foundations: Basic understanding of SQL/NoSQL databases, data warehousing, and pipeline orchestration concepts.
• Programming & Tools: Python and SQL proficiency; exposure to ETL tools (Airflow, dbt) and frameworks (Spark, Pandas); Git basics.
• Cloud & Infrastructure: Familiarity with cloud data services (AWS, Azure, GCP); awareness of containerization (Docker) and CI/CD principles.
• Domain Awareness: Understanding of agricultural or biological data concepts (breeding, trials, phenotyping) is a plus.
• Soft Skills: Problem-solving, attention to detail, clear communication, teamwork, and eagerness to learn.
• Experience: Bachelor’s degree; 2-3 years experience; preferred certifications in cloud fundamentals and exposure to Agile/Scrum.

Critical leadership capabilities

• Ownership & Accountability: Delivers reliably and takes responsibility for assigned tasks.
• Communication: Explains technical concepts clearly; documents processes and updates proactively.
• Collaboration: Works effectively with cross-functional teams including breeders and scientists.
• Learning Agility: Adapts quickly to new tools and feedback; demonstrates curiosity and initiative.
• Quality & Risk Awareness: Applies validation and testing practices; follows governance and security standards.
• Customer Orientation: Focuses on delivering accurate, timely, and usable data for research and decision-making.

Additional Information

Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status. 

Beyond just believing in the power of diversity, Syngenta Group promotes an inclusive culture that includes differences in all its forms. We believe that the feeling of belonging allows people to become their best version, building an increasingly welcoming and productive environment. 

All qualified candidates will be considered for our positions, without distinction of race, gender, age, nationality or disability 

*This position will not provide relocation support. 

*This position will require immediate availability. 

Be part of a leading company that brings the potential of plants to life. 

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