Principal Data Engineer
- Location
- Greater London, England, United Kingdom
schemas. Use AI-driven schema inference and ontology alignment tools to auto-draft mapping artifacts, dramatically reducing integration timelines across different life science datasets. High-Throughput Streaming & Backend Services: Build scale, fault-tolerant real-time ingestion pipelines using Kafka, AWS, and Snowflake. Write robust enterprise services … integrity, and significantly accelerates regulatory submission timelines for life-saving therapies. Qualifications Education & Experience: Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, or equivalent practical experience, alongside proven years of dedicated professional experience in enterprise data engineering and architecture. Data Warehousing ...