Data Engineer - People Data, Insights & Analytics

Job Description 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. As a Data Engineer at Syngenta, you would support the design and development of data foundations that power our analytics and data science initiatives within Syngenta’s HR organization. Your role would require you to design, build and maintain scalable data pipelines and robust data architectures. You will ensure that the data is of high quality, is accessible and optimized for consumption by data scientists and business analysts Key Responsibilities Data Pipeline Development - Design, build, and maintain scalable data pipelines for HR data science and analytics initiatives. - Develop ETL/ELT processes to integrate data across multiple HR platforms such as HRIS, ATS, LMS, Payroll etc. - Implement data transformation logic to support analytics and machine learning models - Ensure data pipeline reliability, performance, and monitoring Data Science Project Support - Implement data preprocessing workflows for machine learning initiatives - Build features and maintain ongoing refresh processes for HR data science models - Build automated data validation and quality checks for model inputs - Develop and manage custom API integrations for model deployment. Build and support model monitoring infrastructure. Data Quality & Governance - Implement data quality frameworks and automated validation processes - Ensure compliance with data privacy and governance policies and standards - Document data lineage and maintain data dictionaries - Support data stewardship activities and resolve data quality issues