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.
- Company
- Experis
- Location
- London, United Kingdom
Hybrid / WFH Options - Employment Type
- Contract
- Posted
- Company
- Experis
- Location
- London, United Kingdom
Hybrid / WFH Options - Employment Type
- Contract
- Posted