Join LexisNexis Intellectual Property as a Data Engineer and contribute to our next-generation Strategic Data Platform. You'll work on building and maintaining data pipelines that ingest, enrich, and transform global patent and IP-related data, powering key products like PatentSight+ and other customer-facing solutions. Collaborate with senior engineers and technical leads to design robust data pipelines using Python, PySpark, and Databricks. In this role, you'll gain practical experience working at scale while delivering data directly to customers and systems across the organization. You'll contribute to the development of data pipelines, support data delivery via APIs and event-driven mechanisms, and assist in data transformation across the medallion architecture. We're looking for someone with hands-on experience in software/data engineering, proficiency in Python, and familiarity with Databricks or a strong interest in learning the platform. We offer a collaborative and innovative work environment with a focus on work-life balance. Benefits include flexible working hours, medical aid, retirement plans, and modern family benefits. Join our team to advance your career, make a significant impact, and be part of a culture that values excellence and continuous learning.