Company:
Oliver Wyman

Description:

About Oliver Wyman

Oliver Wyman, a Marsh (NYSE: MRSH) business, is a management consulting firm driven by deep industry insight, bold innovation, and a collaborative approach that cuts through complexity to help organizations navigate their most defining transformative moments.

For more information, visit oliverwyman.com, or follow us on LinkedIn and X.

Job Overview:

We are seeking an experienced Advanced Analytics Engineer to design and build scalable data solutions that support advanced analytics, machine learning, and AI initiatives. This role focuses on developing data pipelines and workflows for structured and unstructured data using Databricks, Python, and PySpark. The idóneo candidate is passionate about modern data platforms, distributed computing, API integrations, and enabling data-driven innovation across the organization.

Key Responsibilities:
- 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 (Model Context Protocol) integrations and AI-driven workflows
- Collaborate with data scientists, AI engineers, and business 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, workflows, and operational procedures

Experience Required:
- 2+ years of experience in Data Engineering, Analytics Engineering, or related roles
- Strong hands-on experience with Python

📌 Oliver Wyman (Ciudad de México)
🏢 Marsh Mclennan
📍 Ciudad de México