Senior Data Engineer - Databricks & AI Pipelines

PwC Acceleration Centers; México; Presencial; MXN 600.000 - 900.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Major medical insurance

Saving fund

Grocery vouchers

Profit-sharing (PTU)

Performance bonus

Descripción de la vacante

PwC Acceleration Centers in Mexico is seeking a Data Engineer - Sr Consultant to join the Delivery Excellence Data team. You will design and implement scalable data pipelines using PySpark, Python, SQL on Azure and Databricks, while shaping data models with Delta Lake and Lakehouse architectures.

You will apply ML techniques and Agentic frameworks like Langchain and LangGraph to advanced analytics, and establish CI/CD, testing, and version control for rapid, reliable deployments.

Formación

• Holding a Bachelor's degree.
• English proficiency at C1-C2 level.
• 4+ years of experience in Data Engineering with strong ability to design and build scalable data pipelines using PySpark, Python, SQL, Azure and Databricks.
• Strong technical background with Databricks including workflows, DLT, Asset Bundles and Unity catalog.

Responsabilidades

• Design and build enterprise-grade data pipelines using PySpark, Python and SQL on Azure and Databricks.
• Apply data modeling with Delta Lake, DWH and Lakehouse architectures.
• Set up CI/CD, automated testing and version control for reliable deployments.
• Leverage ML techniques and Agentic frameworks like Langchain and LangGraph for advanced analytics.
• Collaborate with Delivery Excellence Data team to transform data delivery approaches.

Conocimientos

English proficiency (C1-C2)

Databricks

Azure

PySpark

Python

SQL

Apache Spark

Langchain

LangGraph

Mosaic AI

Educación

Bachelor's degree

Herramientas

Databricks platform

CI/CD

Unity catalog

Delta Lake

Descripción del empleo

PwC Acceleration Centers in Mexico is seeking a Data Engineer - Sr Consultant to join the Delivery Excellence Data team. You will design and implement scalable data pipelines using PySpark, Python, SQL on Azure and Databricks, while shaping data models with Delta Lake and Lakehouse architectures.

You will apply ML techniques and Agentic frameworks like Langchain and LangGraph to advanced analytics, and establish CI/CD, testing, and version control for rapid, reliable deployments.