Principal Data Engineer

Business Introduction GSK remains committed to achieving bold commercial ambitions for the future. By 2031, we aim to deliver £40 billion in annual sales, leveraging our existing strong performance momentum to significantly increase our positive impact on the health of billions of patients globally. Our Ahead Together strategy is centred on early intervention to prevent and alter the course of disease, thereby protecting people and supporting healthcare systems. Our diverse portfolio consists of vaccines, specialty medicines, and general medicines. Through continuous innovation and a dedicated focus on scientific and technical excellence, we strive to develop and launch new, groundbreaking treatments that address critical health challenges. Job Description   Are you highly self-motivated, forward-thinking and like to explore new ways of applying existing new technologies to solve business problems? Do you understand the importance of prioritizing according to business value and can communicate with stakeholders? We’d like to hear from you if you think you might make a good fit! The distinct behavior demonstrated by a Principal Data Engineer is defined by Product Thought Leadership and Innovation. The Principal Data Engineer for Global Drug Safety, within GSK R&D Tech, is accountable for delivering solutions in line with the Drug Safety roadmap with a focus on improving efficiency whilst working collaboratively with peers and stakeholders.   The role will have responsibility for leading design, development and delivery of various Drug Safety Data products within GSK’s Global Safety Operations and Safety Data product set and will have a key role in shaping and creating GSK’s future Drug Safety and data platforms. Experience of Drug Safety systems such as Argus / Aris-G / Veeva is desired, as is experience of other platforms like tools such as Power BI, Azure, Snowflake.   As a Principal Data Engineer, you will contribute to the technical evolution of our data processing and automation capabilities. This role is focused on developing robust, scalable solutions that analyze our patient safety data far more effectively than current processes. You will leverage AI, machine learning, and advanced automation techniques to mitigate manual business processes and drive continuous improvement in data quality and efficiency.    About R&D Tech, Data Acquisition & Management in Drug Safety Solutions   GSK R&D is led by science. Science is driving an ever-increasing variance and complexity of Drug Safety, and its related data collection and management. This presents great opportunity for Tech enablement via investments in modern platform technologies and Digital applications, across GSKs Pharma and Vaccines organizations.   In this role you will   • Technical Leadership & Architecture:  Design and implement end-to-end, AI-driven data pipelines that ingest, transform, and analyze safety data from multiple sources. Lead to build enterprise data platforms with modern AI-Native solutions by leveraging technologies such as RAG, Vector Databases, Agentic AI, LLMOps, LangChain, LangGraph, Semantic Search, AI Agents, and Azure OpenAI to deliver intelligent, autonomous, and AI-driven business capabilities. • Automation & Process Optimization: Build scalable solutions that replace labor-intensive tasks with automated workflows, significantly reducing processing time and errors. Collaborate with the Product Owner and cross-functional teams to ensure technical solutions align with the strategic product roadmap. • Product/Project Delivery: Deliver the optimal set of products and services which meets the business strategy and requirements. Execution of the product roadmap. The ability to think big picture and customer first is imperative. • Data Analysis