Lead Data Engineer

Maplecroft; Kraków; On-site; PLN 120,000 - 150,000; Full time

Job summary

Maplecroft is seeking an experienced Lead Data Engineer to spearhead the architecture and delivery of an advanced AWS-native data platform. This platform drives underwriting intelligence and AI-driven insights across the organization.

The ideal candidate will oversee the entire data lifecycle, utilizing Python, .NET, and other modern technologies. This senior role requires defining engineering standards and significant collaboration with product and AI teams, ensuring the development of scalable and high-performing data systems.

Qualifications

• Experienced in data architecture and engineering.
• Strong skills in Python-based processing and .NET services.
• Familiarity with PostgreSQL and OpenSearch.

Responsibilities

• Lead the architecture and delivery of a modern AWS-native data platform.
• Own the full data lifecycle from ingestion to AI consumption.
• Mentor engineers and define engineering standards.

Tools

Python

.NET

Aurora PostgreSQL

OpenSearch

LangGraph

Job description

We are looking for an experienced Lead Data Engineer to lead the architecture, evolution, and delivery of our modern AWS-native data platform. This platform powers underwriting intelligence, GenAI-driven insights, and large-scale content processing, serving as the foundation for data products across the organization.

You will own the full data lifecycle—from ingestion and transformation to storage, retrieval, and AI consumption—working across Python-based processing pipelines, .NET services, Aurora PostgreSQL, OpenSearch, and LangGraph-powered agentic workflows.

This is a senior individual contributor role with significant technical leadership responsibilities. You will define engineering standards, drive architectural decisions, mentor engineers, and collaborate closely with product, platform, and AI teams to build reliable, scalable, and high-performing data systems.