Senior Data Engineer

International Flavors & Fragrances Inc.; Tlalnepantla; Presencial; MXN 900.000 - 1.200.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work arrangement

Descripción de la vacante

International Flavors & Fragrances Inc. in Mexico City area seeks a Senior Data Engineer to design and optimize scalable data pipelines, integrating SAP, R&D and external sources. The role focuses on transforming raw data into business-ready datasets for analytics, AI, and data products.

You will architect and maintain high-performance data solutions, drive automation, and ensure governance and security across platforms. A strong background in SQL, Python, ETL/ELT and cloud platforms is required.

Formación

• Bachelor's or Master's in Computer Science, Data Engineering or related field.
• 5+ years in Data Engineering, data integration or platform development.
• Strong SQL and Python for large-scale data processing.

Responsabilidades

• Design, develop, and optimize scalable data pipelines across enterprise platforms.
• Transform raw data into high-quality datasets for analytics and AI.
• Architect reliable data solutions ensuring accessibility, scalability and governance.
• Lead automation of ingestion, processing, monitoring and deployment processes.

Conocimientos

SQL

Python

ETL/ELT design

Data modeling

Data governance

Stakeholder management

Educación

Bachelor's or Master's in CS/Data Eng

Herramientas

Snowflake

Databricks

Azure

AWS

APIs

Descripción del empleo

## Senior Data EngineerApplyremote type: Hybrid Workinglocations: Tlalnepantla, Mexicotime type: Full timeposted on: Posted Todaytime left to apply: End Date: November 27, 2026 (30+ days left to apply)job requisition id: R19535**Job Summary**Are you passionate about analytical science and eager to contribute to the creation of world-class fragrance innovations?IFF is a global leader in flavors, fragrances, food ingredients and health & biosciences. We deliver sustainable innovations that elevate everyday products. Digital Technology Solutions: Accelerating innovation through data, technology and digital transformation, building intelligent solutions that enhance experiences and power smarter decisions. The role is based in **Tlalnepantla (hybrid role)**. Be part of a detail-oriented, collaborative and growth-oriented team where together we can achieve greatness and make a real impact. Your potential is our inspiration.### **Where You'll Make a Difference*** Design, develop, and optimize scalable data pipelines that integrate data from multiple enterprise platforms, including R&D, SAP, Digital, and external sources.* Lead the transformation of complex raw data into high-quality, business-ready datasets that support analytics, reporting, AI, and data products.* Architect and maintain reliable, high-performance data solutions that ensure data accessibility, scalability, and operational excellence.* Drive automation initiatives to improve data ingestion, processing, monitoring, and deployment processes.* Partner with business and technical stakeholders to define and implement data products that generate measurable business value.* Implement advanced data quality controls, monitoring frameworks, and validation processes throughout the data lifecycle.* Develop and maintain data applications and self-service solutions that improve data accessibility and user adoption.* Ensure adherence to data governance, security, privacy, and compliance standards across all data platforms and solutions.* Mentor junior engineers and contribute to establishing data engineering best practices, standards, and technical roadmaps.### **What Makes You the Right Fit*** Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or a related field.* 5+ years of experience in Data Engineering, Data Integration, Data Platform Development, or related technical roles.* Strong expertise in SQL and Python for data engineering, automation, and large-scale data processing.* Extensive experience designing and managing ETL/ELT pipelines in cloud-based environments.* Hands-on experience with modern data platforms such as Snowflake, Databricks, Azure, AWS, or similar technologies.* Strong understanding of data modeling, data architecture, database design, and performance optimization.* Experience integrating data through APIs, event-driven architectures, and multiple enterprise data sources.* Familiarity with Data Governance, Data Quality, Security, and Metadata Management principles.* Excellent leadership, stakeholder management, communication, and problem-solving skills.### **How Would You Stand Out?*** Experience building data products and self-service analytics solutions using tools such as Streamlit.* Experience supporting AI, Machine Learning, Advanced Analytics, or Data Science initiatives.* Relevant certifications in Cloud Technologies, Data Engineering, Snowflake, Databricks, Azure, AWS, or similar platforms.### **Why Choose Us?*** Competitive compensation and benefits package above statutory requirements.* Opportunity to work with cutting-edge cloud, analytics, and data platform technologies.* Exposure to global projects and collaboration with diverse international teams.* Career growth opportunities in a world-class, innovation-driven organization.* Inclusive and collaborative culture that values continuous learning and development.* Direct impact on strategic business initiatives through data-driven solutions and digital transformation.We are a global leader in taste, scent, and nutrition, offering our customers a broader range of natural solutions and accelerating our growth strategy. At IFF, we believe that your uniqueness unleashes our potential. We value the diverse mosaic of the ethnicity, national origin, race, age, sex, or veteran status. We strive for an inclusive workplace that allows each of our colleagues to bring their authentic self to work regardless of their religion, gender identity & expression, sexual orientation, or disability.Visit IFF.com/careers/workplace-diversity-and-inclusion to learn more