Advanced Analytics Engineer
Marsh & McLennan Companies3 months ago
Lisbon, PortugalMid Level
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.
- Support MCP integrations and AI-driven workflows with AI engineers and platform teams.
- Collaborate with data scientists, AI engineers, and business stakeholders on advanced analytics initiatives.
- Implement data quality, governance, monitoring, and observability practices.
- Optimize distributed data processing environments for performance and scalability.
- Support batch and real-time data processing architectures.
- Contribute to CI/CD pipelines and DataOps practices.
- Document technical solutions, workflows, and operational procedures.
Requirements
- At least 2 years of experience in Data Engineering, Analytics Engineering, or related roles.
- 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.
- Strong understanding of modern lakehouse and cloud-based data architectures.
- Experience with workflow orchestration, automation, and CI/CD pipelines.
- Familiarity with AWS, Azure, or GCP.
- Experience with streaming and real-time processing technologies is preferred.
- Knowledge of MCP integrations and AI-driven workflow architectures is preferred.
- Strong problem-solving, analytical thinking, communication, collaboration, ownership, and stakeholder-management skills.
- Ability to work independently, manage multiple priorities, adapt to changing needs, and explain technical concepts to non-technical audiences.
Benefits
- Hybrid role requiring at least three days per week in the office.
- Professional development opportunities, interesting work, and supportive leaders.
- Inclusive and flexible work environment with opportunities to create impact for colleagues, clients, and communities.
- Career opportunities, benefits, and rewards intended to support employee well-being.
Tech Stack
Categories
Data Engineering
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.