Job Description

Posted 3 weeks ago

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