Specialist - Data Engineering
Marsh & McLennan Companies2 months ago
São Paulo, BrazilSenior
Responsibilities
- Build and maintain ETL/ELT pipelines, ingestion workflows, and data models on Databricks using Python and SQL.
- Own production data products end to end, including design, deployment, monitoring, maintenance, and iterative improvement.
- Translate ambiguous business problems into practical data products with clear success criteria.
- Partner with product managers, business stakeholders, data scientists, analysts, and technical teams to deliver outcomes.
- Apply engineering practices including testing, CI/CD, code review, documentation, lineage, alerting, observability, and production support.
- Make trade-offs across performance, reliability, cost, and latency and communicate them clearly.
- Contribute shared engineering patterns, tooling, and reliability practices.
- Use AI tools pragmatically while validating outputs and maintaining accountability.
Requirements
- Solid experience in data engineering or closely related roles with demonstrated senior-level ownership.
- Experience as the technical owner of at least one production data product that was designed, built, deployed, and operated for real stakeholders.
- Strong proficiency in Python and SQL and the ability to write production-grade code.
- Hands-on experience with Databricks and CI/CD pipelines.
- Ability to work directly with business stakeholders, lead discussions, clarify ambiguous requirements, and operate 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.
- Consulting experience and experience in insurance, reinsurance, financial services, or other complex data-rich domains are preferred.
- Experience with Azure Data Factory, dbt, ARM templates, Databricks Asset Bundles, distributed data processing, MLOps, semi-structured or unstructured data workflows, and AI-assisted development are preferred.
Benefits
- Hybrid work with at least three days per week in the local office or onsite with clients.
- Flexible work environment with opportunities for collaboration, connections, and professional development.
- Opportunity to shape scalable data products and platform capabilities used across the firm.
- Work in a diverse, inclusive, and flexible environment.
About Marsh & McLennan Companies
Marsh McLennan is a global professional services firm providing risk, insurance and reinsurance brokerage, health, wealth, and management consulting to corporations, governments, and nonprofits. It operates through Marsh, Guy Carpenter, Mercer, and Oliver Wyman, earning fees and commissions for advisory, analytics, and placement services. Founded in 1905 and headquartered in New York, it is publicly traded on the NYSE under the ticker MMC.