We’re looking for a Data & AI Engineering Lead to help build and scale our data engineering and AI capabilities. This role sits at the intersection of data pipelines, machine learning operations, and applied AI—particularly focused on turning concepts into scalable, secure, and high-impact solutions.
You’ll play a key role in building robust infrastructure for data and AI product delivery, while also contributing directly to solution development across areas like MLOps, LLMs, and AI agents. This is a growth role: ideal for someone who wants to help shape the practice while growing into technical leadership.
The position and team is part of the Global Data & Analytics department. TCC’s D&A function adds value by enabling different business units and geographies with insights and analytics solutions, in designing and executing high-quality loyalty campaigns for our retail clients.

KNOWLEDGE, SKILLS & EXPERIENCE

• 4–7 years of experience in roles combining data engineering, MLOps, and applied ML
• Proven experience setting up, developing and maintaining cloud- and API-based data platform infrastructure
• Hands-on experience in designing and building data pipelines (Azure Data Factory)
• Strong command of Python, Git, cloud-based ML tooling (Azure ML and MLflow), CI/CD pipelines and containerised environments (e.g., Docker, Azure DevOps repositories)
• Demonstrated talent for technical leadership, with the ability to dive into architecture, code, statistical methodology, and delivery when needed
• Deep understanding of software engineering principles, data architecture, data governance, and platform security
• Excellent stakeholder management skills, with the ability to translate between business, data science, and engineering
• Proficient in project management, using tools like Azure DevOps