Lead Data Engineer | P&C Insurer

We are seeking a hands-on Data Engineer to join our growing data and analytics team. This individual will play a key role in designing, developing, and maintaining modern data solutions that support business intelligence, reporting, and advanced analytics initiatives. Working within a collaborative environment, the Data Engineer will transform raw data from multiple internal and external sources into trusted, business-ready datasets that drive decision-making across the organization and with strategic partners.

• Key Responsibilities
• Design, develop, and maintain scalable data pipelines and transformation processes within a cloud-based data platform.
• Build and optimize data models that support reporting, analytics, and operational use cases.
• Integrate structured and semi-structured data from a variety of source systems and third-party providers.
• Develop clean, maintainable, and well-tested code while adhering to software engineering best practices.
• Participate in version control, deployment processes, and automated testing methodologies.
• Create and maintain technical documentation for datasets, pipelines, and data models.
• Monitor and troubleshoot data workflows to ensure platform reliability, performance, and data quality.
• Partner closely with analytics, reporting, and governance teams to deliver accurate and usable data products.
• Support ongoing enhancements and modernization initiatives across the organization's data ecosystem.
• Contribute to continuous improvement efforts, identifying opportunities to optimize data architecture and engineering processes.

• Experience & Knowledge
• Required
• Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related discipline, or equivalent practical experience.
• Relevant cloud, data engineering, or analytics certifications are a plus.
• Hands-on experience designing and supporting data engineering solutions and data pipelines.
• Strong SQL skills and experience with modern data transformation frameworks.
• Experience with source control systems and deployment best practices.
• Understanding of data modeling concepts and data warehousing principles.
• Experience working in cloud-based data environments.

Preferred

• Experience with modern orchestration, ingestion, and cloud data platform technologies.
• Exposure to scripting or programming languages such as Python.
• Familiarity with data cataloging, metadata management, or governance tools.
• Experience working within insurance, financial services, or other highly regulated industries.
• Understanding of modern analytics architectures and data lifecycle management.