Lead Data Engineer

Job Title: Lead Data Engineer Location: London (Hybrid) Contract: 6 Months (Potential Extension) Start Date: ASAP About 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 innovation The 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 & Experience • Strong experience in data pipeline development and orchestration. • Proficient with cloud platforms (Snowflake, AWS fundamentals). • Solid understanding of data architecture, warehousing, and modeling. • Programming expertise: Python, Spark, SQL, API integration. • Knowledge of ML/AI frameworks, MLOps, and advanced analytics concepts. • Experience with CI/CD, data testing frameworks, and versioning strategies. • Ability to work effectively in multi-team, vendor-integrated environments. Why This Role • Join a global, transformative initiative shaping a smoke-free future. • Work with cutting-edge cloud, AI, and data technologies. • Opportunity to influence technical and strategic decisions across enterprise data delivery. • Dynamic, innovative environment where your work has real business impact.