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Open nowFirst seen 6 days ago

Senior GCP Data & AI Engineer (Remote, Lahore, Remittance Salary)

HR POD - Hiring Talent Globally47 open roles

Where
Lahore, Pakistan
Work mode
Remote
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Your applicationOpen nowSenior GCP Data & AI Engineer (Remote, Lahore, Remittance Salary)HR POD - Hiring Talent Globally · Lahore, Pakistan

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  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on HR POD - Hiring Talent Globally's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. HR POD - Hiring Talent Globally postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.7%14 days
  5. 35.6%30 days
  6. 58.0%60 days
This job: first seen 6 days ago

HR POD - Hiring Talent Globally median: 1 days open

The posting

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 monday.com 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.
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