• Build and maintain data pipelines that support ingest, logging, validation, transformation, and secure data access. • Contribute to the development and improvement of scalable ETL/ELT processes under guidance from senior engineers. • Implement and evolve data models and storage patterns that support analytics and operational use cases. • Apply data quality checks, monitoring, and documentation to ensure data is accurate, reliable, and well understood. • Collaborate with internal teams and clients to understand data requirements and support analytics use cases. • Contribute to the ongoing development of Expression’s VOR Data Platform, including tooling, standards, and automation. • Participate in research, prototypes, and proof-of-concept work to evaluate new data and analytics technologies, including emerging AI-driven tools. • Follow established engineering practices and contribute ideas to improve reliability, performance, and developer experience.