Procurement Data Engineer: Azure ETL & Analytics Lead

YDU JC Air Cond & Ref Inc.- Dubai; Monterrey; Presencial; MXN 600.000 - 1.000.000; Jornada completa

Descripción de la vacante

Johnson Controls seeks a Data Engineer to join the Procurement Execution Center, driving end-to-end data management across BI and reporting initiatives. You will design, implement and optimize ETL/ELT pipelines, data models and governance controls to support enterprise analytics.

You will collaborate with cross-functional teams spanning fleet, energy, travel and services, mentor junior engineers, and contribute to the data platform strategy while ensuring scalable cloud-native architectures and

Formación

• Bachelor’s degree in Engineering, Computer Science, Data Science or related field.
• 5+ years of BI/Data Engineering experience with data modeling and pipelines.
• Strong SQL and data warehousing concepts; Azure cloud experience a must.

Responsabilidades

• Deliver end-to-end data management including ETL/ELT pipelines and data governance.
• Build and optimize data models for BI and analytics across multiple domains.
• Maintain data quality, metadata, and data vaults; support data platform governance.
• Collaborate with business and tech teams; contribute to product strategy.
• Mentor junior data engineers and drive engineering best practices.

Conocimientos

SQL

Azure Data Factory

dbt

Python

Azure Synapse

Data Modeling

NoSQL

Educación

Bachelor’s degree in Engineering/CS/Data Science

Herramientas

Azure Data Factory

Snowflake

dbt

Python

Azure Synapse

Azure DevOps

Descripción del empleo

Johnson Controls seeks a Data Engineer to join the Procurement Execution Center, driving end-to-end data management across BI and reporting initiatives. You will design, implement and optimize ETL/ELT pipelines, data models and governance controls to support enterprise analytics.

You will collaborate with cross-functional teams spanning fleet, energy, travel and services, mentor junior engineers, and contribute to the data platform strategy while ensuring scalable cloud-native architectures and