Sr Advanced Data Engineer

Honeywell International Inc; Xico; On-site; MXN 900,000 - 1,300,000; Full time

Job summary

Honeywell busca un Ingeniero de Datos Avanzado (Senior) para diseñar y mantener soluciones de datos que respalden decisiones de negocio en Monterrey. Trabajarás en pipelines escalables, modelos y procesos de integración, colaborando con equipos multifuncionales para entender y entregar los requerimientos de negocio.

Se requiere experiencia en ingeniería de datos, ETL y herramientas como Python y SQL, con foco en la calidad de datos y la optimización de infraestructuras.

Qualifications

• Bachelor’s degree in a technical field (e.g., science, technology, engineering, mathematics) is required.
• Proven experience in data engineering.
• Proficiency in data engineering tools and programming languages (e.g., Python, SQL).
• Experience with data pipelines and ETL processes.

Responsibilities

• Diseñar y desarrollar pipelines de datos escalables, modelos de datos e integraciones de datos.
• Colaborar con equipos multifuncionales para entender requerimientos y entregar soluciones de datos.
• Garantizar la calidad e integridad de los datos mediante validaciones y limpieza de datos.
• Optimizar procesos e infraestructuras de ingeniería de datos para mejorar rendimiento.
• Mantenerse al día con tecnologías de datos para impulsar innovación.

Skills

Data engineering

Cross-functional collaboration

Problem solving

Education

Bachelor’s degree in a technical discipline

Master’s degree in Data Science / CS

Tools

Python

SQL

Job description

Sr Advanced Data Engineer

Empresa : Honeywell Tipo de empleo : Tiempo completo Monterrey, Mexico JobCopilot will tailor your resume and auto-fill the application

Descripción del trabajo - Sr Advanced Data Engineer

Description

As a Senior Advanced Data Engineer here at Honeywell, you will play a crucial role in designing, developing, and maintaining advanced data solutions that drive business insights and support decision‑making processes. You will leverage your expertise in data engineering to build scalable data pipelines, optimize data storage, and ensure data quality and integrity. Your ability to work with crossfunctional teams and translate business requirements into technical solutions will be key to your success in this role.

In this role, you will impact the business by enabling data‑driven decision‑making, optimizing data processes, and improving overall data management. Your work will contribute to increased operational efficiency, cost savings, and enhanced customer satisfaction.

At Honeywell, our people leaders play a critical role in developing and supporting our employees to help them perform at their best and drive change across the company. Help to build a strong, diverse team by recruiting talent, identifying, and developing successors, driving retention and engagement, and fostering an inclusive culture.

Responsibilities

• Design and develop scalable and efficient data pipelines, data models, and data integration processes
• Collaborate with crossfunctional teams to understand data requirements and deliver data solutions that meet business needs
• Ensure data quality and integrity by implementing data validation and cleansing processes
• Optimize data engineering processes and infrastructure to improve performance and efficiency
• Stay updated on emerging data engineering technologies and best practices to drive innovation and continuous improvement

Qualifications

YOU MUST HAVE

• Bachelor’s degree from an accredited institution in a technical discipline such as science, technology, engineering, mathematics
• Proven experience in data engineering
• Proficiency in data engineering tools and programming languages (e.g., Python, SQL, etc.)
• Experience with data pipeline and ETL processes

WE VALUE

• Master’s degree in Data Science, Computer Science, or a related field
• Experience with cloud data platforms (e.g., AWS, Azure, Google Cloud)
• Knowledge of big data technologies (e.g., Hadoop, Spark)
• Strong problem‑solving skills and attention to detail