Job Title: Lead Data Engineer Location: London (Hybrid) Contract: 6 Months (Potential Extension) Start Date: ASAPAbout the Client Our client is transforming their industry by replacing cigarettes with innovative, smoke-free alternatives. They are leveraging technology, data, and AI to drive a global shift toward a smoke-free world. This is a fast-paced, high-impact environment, perfect for candidates who are strategic, independent, and excited to work at the forefront of data and AI innovationThe Role We are looking for a skilled Data Engineer to design, build, and optimize enterprise-scale data pipelines and cloud platforms. You will translate business and AI/ML requirements into robust, scalable solutions while collaborating across multi-disciplinary teams and external vendors. As a key member of the data architecture you will:Build and orchestrate data pipelines across Snowflake and AWS environments.Apply data modeling, warehousing, and architecture principles (Kimball/Inmon).Develop pipeline programming using Python, Spark, and SQL; integrate APIs for seamless workflows.Support Machine Learning and AI initiatives, including NLP, Computer Vision, Time Series, and LLMs.Implement MLOps, CI/CD pipelines, data testing, and quality frameworks.Act as an AI super-user, applying prompt engineering and creating AI artifacts.Work independently while providing clear justification for technical decisions.Key Skills and ExperienceStrong experience in data pipeline development and orche