2 days ago
São Paulo, BrazilSenior
Responsibilities
- Build and maintain ETL/ELT pipelines, ingestion workflows, and data models on Databricks using Python and SQL.
- Design, deploy, monitor, maintain, and iteratively improve production data products end to end.
- Translate ambiguous business problems into practical data products with clear success criteria.
- Partner with product managers, business stakeholders, data scientists, analysts, and technical teams.
- Apply testing, CI/CD, code review, documentation, lineage, alerting, observability, and production-support practices.
- Balance performance, reliability, cost, and latency while communicating technical trade-offs.
- Contribute shared engineering patterns, tooling, and reliability practices.
- Use AI tools pragmatically while validating outputs and maintaining accountability.
Requirements
- Senior-level experience in data engineering or closely related roles.
- Experience as the technical owner of at least one production data product designed, built, deployed, and operated for real stakeholders.
- Strong production-grade Python and SQL skills.
- Hands-on Databricks experience.
- Experience building and maintaining CI/CD pipelines.
- Ability to lead stakeholder discussions, clarify ambiguous requirements, and work proactively with minimal supervision.
- Professional fluency in English.
- Bachelor’s degree in a quantitative field such as Computer Science, Engineering, Statistics, or Mathematics, or equivalent practical experience.
- Preferred: consulting, insurance/reinsurance or financial-services experience; Azure Data Factory, dbt, ARM templates, Databricks Asset Bundles, infrastructure-as-code, distributed data processing, ML-enabled production products, MLOps, semi-structured or unstructured data workflows, and AI-assisted development experience.
Benefits
- Hybrid work with remote flexibility and at least three days per week in the office or onsite with clients.
- Opportunity to shape scalable data products and platform capabilities used across the firm.
- Collaboration with product, business, and technology stakeholders across geographies.
- Inclusive and flexible work environment with professional development benefits from working together in the office.
About Marsh
Marsh is a global insurance broker and risk advisor that helps businesses, public entities, and individuals assess, transfer, and manage risk through insurance placement, captives, and advisory services. It sells brokerage, risk consulting, and claims management across industries, including cyber and property, and operates in more than 130 countries. Marsh is a business of Marsh McLennan and is headquartered in New York.