Senior Data Engineer — Hybrid, AI‑Ready Data Pipelines

IFF; Tlalnepantla; Híbrido; MXN 900.000 - 1.300.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive compensation

Global project exposure

Career growth opportunities

Diversity and inclusion

Descripción de la vacante

IFF is seeking a seasoned Data Engineer to design and optimize scalable data pipelines across R&D, SAP, and external sources. The role is hybrid and based in Tlalnepantla, with responsibilities spanning data transformation, analytics readiness, and product data delivery.

You will mentor engineers and help establish governance practices while leveraging Snowflake, Databricks, Azure, and AWS to enable data-driven decisions and AI initiatives.

Formación

• Bachelor's or Master's degree in CS, Data Engineering, Information Systems, Software Engineering, or a related field.
• 5+ years in Data Engineering, Data Integration, Data Platform Development, or related technical roles.
• Strong SQL and Python for data engineering, automation, and large‑scale data processing.
• Experience designing and managing ETL/ELT pipelines in cloud environments.
• Hands‑on experience with Snowflake, Databricks, Azure, AWS, or similar platforms.

Responsabilidades

• Design, develop, and optimize scalable data pipelines from multiple enterprise sources.
• Lead transformation of raw data into business-ready datasets for analytics, AI, and data products.
• Architect and maintain high-performance data solutions ensuring accessibility and scalability.
• Drive automation for data ingestion, processing, monitoring, and deployment.
• Mentor junior engineers and establish data engineering best practices and roadmaps.
• Ensure adherence to data governance, security, privacy, and compliance standards across platforms.

Conocimientos

SQL

Python

ETL/ELT pipelines

Snowflake

Databricks

Azure

AWS

Data modeling

APIs integration

Leadership

Educación

Bachelor's or Master's in Computer Science / Data Engineering

Descripción del empleo

IFF is seeking a seasoned Data Engineer to design and optimize scalable data pipelines across R&D, SAP, and external sources. The role is hybrid and based in Tlalnepantla, with responsibilities spanning data transformation, analytics readiness, and product data delivery.

You will mentor engineers and help establish governance practices while leveraging Snowflake, Databricks, Azure, and AWS to enable data-driven decisions and AI initiatives.