Senior Data & AI Engineer — Remote Leadership (GCP)

MicroSourcing International; Manila; On-site; PHP 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Healthcare coverage

Paid time-off with cash conversion

Group life insurance

Performance bonuses

Remote work

Job summary

MicroSourcing is seeking a Data & AI Engineer (Supervisory) to lead analytics initiatives from a remote Philippines base. You will build Gemini Enterprise capabilities, connect client data across clouds, and deliver AI-powered agents and analytics.

You will model data, enforce RBAC, and enable self-service analytics via Looker, LookML, and MCP. Strong SQL, Python, and leadership are essential to guide teams and liaise with client heads to ensure successful delivery.

Qualifications

• Senior / lead data-and-AI background with strong commercial experience.
• Experience with data warehousing / lakehousing on BigQuery + GCS.
• Data modelling, schema design and RBAC.
• GCP certification(s).
• Commercial Gemini / generative-AI experience — agent creation, conversational analytics, MCP knowledge.

Responsibilities

• Build Gemini Enterprise capabilities by connecting client data and delivering AI agents.
• Model and connect client data for Gemini across clouds using BigQuery and GCS.
• Apply data modelling, schema design and RBAC.
• Enable self-service analytics through agent creation and MCP knowledge.
• Deliver governed data and insights via Looker with multi-tenant patterns.

Skills

Senior Data AI

BigQuery + GCS

RBAC

Data Modelling

GCP Certification

Gemini/GAI Experience

Looker LookML

SQL

Python

Technical Leadership

Client Communication

Vertex AI

Agent Builder

ADK

Model Garden

Multi-cloud

Snowflake

Tools

Looker

BigQuery

GCS

Vertex AI

Snowflake

Job description

MicroSourcing is seeking a Data & AI Engineer (Supervisory) to lead analytics initiatives from a remote Philippines base. You will build Gemini Enterprise capabilities, connect client data across clouds, and deliver AI-powered agents and analytics.

You will model data, enforce RBAC, and enable self-service analytics via Looker, LookML, and MCP. Strong SQL, Python, and leadership are essential to guide teams and liaise with client heads to ensure successful delivery.