Senior Data & Analytics Engineer (Hybrid)

Marsh; Ciudad de México; Hybrid; MXN 600,000 - 1,000,000; Full time

Benefits offered by this job

Hybrid work

Job summary

Marsh is seeking a Senior Analyst - Data & Analytics to design and maintain scalable data pipelines on Databricks, build Medallion-based data models, and ensure data quality across sources and destinations.

You will work with stakeholders to translate business questions into semantic models for AI-enabled analytics, and contribute to generative AI initiatives and modern data platforms within a hybrid work environment.

Qualifications

• Degree in data science, CS, engineering or related quantitative field.
• 4+ years in data analytics, data engineering, BI, or similar roles.
• Advanced SQL and Python for data processing.
• Experience with ETL/ELT pipelines and data warehousing.
• Familiarity with Databricks or similar platforms.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Databricks.
• Build data models following Medallion Architecture (Bronze-Silver-Gold).
• Transform and validate data with SQL and Python.
• Collaborate with stakeholders to translate requirements into analytics solutions.
• Support AI and conversational analytics initiatives.

Skills

SQL

Python

Data Modeling

Data Warehousing

ETL/ELT

Databricks

English Proficiency

Education

Bachelor’s degree in Data Science or related field

Tools

Databricks Genie

Power BI

Qlik Sense

Microsoft Fabric

Job description

Marsh is seeking a Senior Analyst - Data & Analytics to design and maintain scalable data pipelines on Databricks, build Medallion-based data models, and ensure data quality across sources and destinations.

You will work with stakeholders to translate business questions into semantic models for AI-enabled analytics, and contribute to generative AI initiatives and modern data platforms within a hybrid work environment.