Senior GCP Data & AI Engineer

Requirements:

• 6 years of experience leading data engineering data architecture and AI solution development.
• Commercial experience with Google Cloud Platform (GCP) particularly BigQuery and Google Cloud Storage (GCS).
• Strong understanding of data modelling schema design data warehousing lakehousing and role-based access control (RBAC).
• Relevant GCP certification(s).
• Hands-on commercial experience with Gemini Enterprise and Generative AI including AI agents conversational analytics RAG and grounding.
• Knowledge of the Model Context Protocol (MCP) and experience with agent-based integrations.
• Experience with Looker dashboard development semantic modelling and LookML.
• Strong proficiency in SQL and Python for data engineering and analytics development.
• Proven technical leadership independent problem-solving and delivery management skills.
• Excellent communication and stakeholder-management skills with the ability to engage confidently with client heads and technical leads.

Responsibilities:

• Connect integrate and model client data across multiple clouds and data sources using BigQuery and Google Cloud Storage (GCS).
• Design scalable data models and schemas and implement role-based access control (RBAC) to ensure secure data access.
• Develop Gemini Enterprise capabilities including conversational analytics grounded search Retrieval-Augmented Generation (RAG) and AI agents.
• Integrate the Gemini Enterprise agent and enable data connectivity across multiple sources.
• Develop AI-powered self-service analytics solutions for non-technical users using agent creation and the Model Context Protocol (MCP).
• Build and maintain governed analytics solutions using Looker and LookML to ensure reliability and consistency.
• Establish standardized observable and multi-tenant architectures to support reliable managed services.
• Lead technical implementations review solutions guide team members and ensure high-quality delivery.
• Collaborate with client stakeholders and technical leaders to understand requirements and maintain strong working relationships.