Hybrid Analytics Engineer: Scalable Data Pipelines

Oliver Wyman; Mexico; On-site; PHP 5,495,000 - 7,937,000; Full time

Job summary

Oliver Wyman is 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 ideal candidate is passionate about modern data platforms, distributed computing, API integrations, and enabling data-driven innovation across the organization.

Qualifications

• 2+ years of experience in Data Engineering or Analytics Engineering.
• Strong hands-on experience with Python, PySpark, Databricks, and SQL.
• Experience designing scalable ETL/ELT pipelines and distributed data processing solutions.
• Experience working 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.
• Familiarity with lakehouse architectures and CI/CD in data pipelines.

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 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.
• Document technical solutions, workflows, and operational procedures.

Skills

Analytical thinking

Problem solving

Communication

Collaboration

Tools

Python

PySpark

Databricks

SQL

APIs

CI/CD

Cloud platforms

Job description

Oliver Wyman is 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 ideal candidate is passionate about modern data platforms, distributed computing, API integrations, and enabling data-driven innovation across the organization.