Lead Data Engineer

📋 Description

• Architect and build scalable data pipelines and infrastructure to support AI and product systems.
• Design and maintain data ingestion, transformation and storage architectures for operational and AI
• Develop and manage batch and real-time data pipelines.
• Build and optimise systems for vector search, retrieval and machine learning data pipelines.
• Ensure data reliability, security and governance across the platform.
• Collaborate with AI and backend engineering teams to support training, inference and product

🎯 Requirements

• 7+ years of professional experience, with the majority of that experience in dedicated data
• Strong experience designing and building data pipelines and distributed data systems.
• Experience working with relational databases, with PostgreSQL preferred, although MySQL or similar
• Experience working with NoSQL databases.
• Experience with vector databases used in modern AI systems.
• Strong programming experience in Python.

Nice to Have

• Experience working on AI or machine learning platforms.
• Familiarity with stream processing and event-driven architectures.
• Experience with cloud infrastructure such as GCP, AWS or Azure.
• Experience working in high-growth startups or early-stage companies.