Specialist - Data Engineering
Marsh & McLennan Companies4 months ago
São Paulo, BrazilSenior
Responsibilities
- Build and maintain ETL/ELT pipelines, ingestion workflows, curated bronze-to-gold datasets, and data models on Databricks using Python and SQL.
- Translate ambiguous business problems into practical data products with clear success criteria.
- Own production data solutions end to end, including design, deployment, monitoring, maintenance, and continuous improvement.
- Work directly with product managers, business stakeholders, technical partners, data scientists, and analysts.
- Apply testing, CI/CD, code review, observability, documentation, lineage, alerting, and production support practices.
- Make trade-offs across performance, reliability, cost, and latency and communicate decisions clearly.
- Build pipelines supporting analytics and AI/ML use cases, including spatial and geo solutions and complex business data.
- Contribute to shared engineering patterns, tooling, and reliability practices.
- Use AI tools pragmatically to improve delivery while validating their outputs.
Requirements
- Experience in data engineering or closely related roles, with evidence of operating at a senior level.
- Proven technical ownership of at least one production data product used by real stakeholders.
- Strong proficiency in Python and SQL and the ability to write production-grade code.
- Mandatory hands-on experience with Databricks.
- Experience building ETL/ELT pipelines and production data systems.
- Experience with data quality, integrity checks, and operational reliability in production.
- Ability to work directly with business stakeholders and turn ambiguous requirements into practical solutions with limited supervision.
- Professional fluency in English.
- Availability for hybrid work in Sao Paulo.
- Bachelor's degree in a quantitative field or equivalent practical experience.
- Consulting experience is a preferred qualification.
- Experience in insurance, reinsurance, financial services, or other complex data-rich domains is preferred.
- Experience with Azure Data Factory, dbt, or similar orchestration and transformation frameworks is preferred.
- Experience supporting APIs, integrations, asynchronous workflows, or queue-based systems is preferred.
- Experience supporting ML-enabled products in production and familiarity with MLOps concepts are preferred.
- Exposure to semi-structured or unstructured data workflows, including text-heavy or AI-enabled use cases, is preferred.
- Practical experience using AI-assisted development workflows in production is preferred.
- Experience with distributed data processing at scale is preferred.
- Familiarity with Power BI, Tableau, or Looker is preferred.
Benefits
- Hybrid work in Sao Paulo, with colleagues expected to work in their local office or onsite with clients at least three days per week.
- Collaborative global environment with teams across the US and Europe.
- Opportunities for learning, professional development, and collaboration with specialists in the reinsurance industry.
- Inclusive and flexible work 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.