Senior Data Platform Engineer – Hybrid, Cloud Lakehouse

Nestlé; Ciudad de México; Híbrido; MXN 1.000.000 - 1.350.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Restaurant card

Mobility plan

Descripción de la vacante

Nestlé is seeking an Expert Data Engineer to build and optimize our enterprise data platform across Databricks, Azure, and Snowflake. The role focuses on scalable data ingestion, processing, storage, and secure access, with a strong emphasis on governance, automation, and platform resilience.

You will develop reusable pipelines, implement IaC, and lead collaboration with data/product teams to deliver reliable data capabilities in a hybrid environment. Fluency in English is required.

Formación

• 8+ years of data engineering and cloud data platforms experience.
• Experience with scalable, enterprise-grade data systems.
• Strong SQL and modern language skills (Python/Scala/Java).
• Hands-on with Databricks, Azure, Snowflake, and data lakehouse patterns.

Responsabilidades

• Design and optimize core enterprise data platform capabilities.
• Develop reusable data pipelines and automation scripts.
• Architect high-throughput batch and streaming data processing.
• Embed governance, security, and quality into platform design.
• Build CI/CD, IaC, monitoring, and runbooks for data components.
• Collaborate with cross-functional teams to meet data needs.

Conocimientos

Databricks

Azure

Snowflake

SQL

Python

Scala/Java

Data pipelines

CI/CD

Data governance

Cloud architectures

Educación

Bachelor’s degree in Computer Science or related field

Herramientas

Airflow

dbt

Terraform

Azure Data Factory

Databricks Workflows

Descripción del empleo

Nestlé is seeking an Expert Data Engineer to build and optimize our enterprise data platform across Databricks, Azure, and Snowflake. The role focuses on scalable data ingestion, processing, storage, and secure access, with a strong emphasis on governance, automation, and platform resilience.

You will develop reusable pipelines, implement IaC, and lead collaboration with data/product teams to deliver reliable data capabilities in a hybrid environment. Fluency in English is required.