AI Data Platform Engineer (Databricks + Python)

Accenture PLC; Monterrey; On-site; MXN 900,000 - 1,200,000; Full time

Job summary

Accenture is seeking a data-focused professional to collaborate across multiple teams, design scalable data pipelines, and deploy production-grade data solutions using the Databricks Platform. You will drive data governance, automate ingestion, and optimize ETL processes in a dynamic, globally connected environment.

The role emphasizes partnership with experts worldwide, hands-on data engineering, and delivery of reusable data workflows to support enterprise analytics and AI initiatives.

Qualifications

• Advanced proficiency in Databricks Platform.
• Advanced proficiency in Python.
• A minimum of 2 of experience in relevant related skills.
• Bachelor's Degree in relevant field of studies.

Responsibilities

• Collaborate and manage the team to perform effectively and engage with multiple teams.
• Provide solutions to challenges for the team and across teams.
• Develop reusable workflows for data ingestion, quality assurance, transformation, and optimization.
• Build scalable data pipelines using extract, transform, and load tools.
• Migrate data from legacy data warehouses applying cloud architecture principles.
• Automate data flows to facilitate seamless data consumption.
• Advise on data quality rules and establish effective data compliance policies.

Skills

Databricks Platform

Python

Data engineering

Education

Bachelor's Degree in a relevant field

Job description

Accenture is seeking a data-focused professional to collaborate across multiple teams, design scalable data pipelines, and deploy production-grade data solutions using the Databricks Platform. You will drive data governance, automate ingestion, and optimize ETL processes in a dynamic, globally connected environment.

The role emphasizes partnership with experts worldwide, hands-on data engineering, and delivery of reusable data workflows to support enterprise analytics and AI initiatives.