Analytics Engineer — AI Data Pipelines (Databricks, Hybrid)

Oliver Wyman; Ciudad de México; Híbrido; MXN 600.000 - 900.000; Jornada completa

Descripción de la vacante

Oliver Wyman is seeking an experienced Advanced Analytics Engineer to design and build scalable data solutions for analytics, ML, and AI initiatives in Mexico City. You will develop data pipelines with PySpark, Databricks, Python, and SQL, enabling data-driven innovation across the organization.

This role requires 2+ years in Data/Analytics Engineering, hands-on experience with lakehouse architectures, and collaboration with data scientists and platform teams to support AI-driven workflows.

Formación

• 2+ years of experience in Data Engineering, Analytics Engineering, or related roles.
• Hands-on experience with Python, PySpark, Databricks, and SQL.
• Experience designing and developing scalable ETL/ELT pipelines and distributed data processing solutions.
• Experience with structured, semi-structured, and unstructured data.
• Experience building and integrating APIs and enterprise data services.
• Experience supporting advanced analytics, AI, or machine learning initiatives.
• Understanding of modern lakehouse and cloud-based data architectures.
• Experience with workflow orchestration, automation, and CI/CD pipelines.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.

Responsabilidades

• Design, develop, and optimize scalable data pipelines using PySpark and Databricks.
• Build workflows to ingest, process, and transform structured and unstructured data.
• Develop data models and reusable datasets for analytics and AI use cases.
• Integrate external systems and enterprise platforms through APIs and modern data interfaces.
• Collaborate with AI engineers and platform teams to support MCP integrations and AI-driven workflows.
• Collaborate with data scientists and stakeholders to support advanced analytics initiatives.
• Implement data quality, governance, monitoring, and observability best practices.
• Optimize performance and scalability of distributed data processing environments.
• Support batch and real-time data processing architectures.
• Contribute to CI/CD pipelines and DataOps best practices.
• Document technical solutions and workflows.

Conocimientos

Python

Analytical thinking

Problem solving

Collaboration

Self-starting

Learning mindset

Herramientas

PySpark

Databricks

SQL

AWS

Azure

GCP

Descripción del empleo

Oliver Wyman is seeking an experienced Advanced Analytics Engineer to design and build scalable data solutions for analytics, ML, and AI initiatives in Mexico City. You will develop data pipelines with PySpark, Databricks, Python, and SQL, enabling data-driven innovation across the organization.

This role requires 2+ years in Data/Analytics Engineering, hands-on experience with lakehouse architectures, and collaboration with data scientists and platform teams to support AI-driven workflows.