Senior Data Engineer – AI-Driven Payments Analytics

Google LLC; Singapore; On-site; SGD 150,000 - 210,000; Full time

Job summary

Google LLC in Singapore is seeking a Senior Data Engineer to own product analytics for Payments. You will design, build and optimize data pipelines and analytics platforms that power product decisions and merchant partnerships.

Collaborating with Product, Data Science and Engineering teams, you will drive data quality, governance, and scalable AI-enabled analytics. You will translate business needs into production data systems and insights, enabling faster iteration across the Payments stack.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience coding in Python and SQL.
• 5 years designing and deploying data pipelines.
• 5 years ML ops and data architecture design.

Responsibilities

• Design and build agentic analytics systems leveraging Large Language Models (LLMs) and AI to automate insight generation and workflows. Translate product needs into production‑grade data systems (models, pipelines, and services).
• Lead the design and coordination of analytics infrastructure powering product analytics across Payments.
• Build AI‑native analytics workflows, embedding intelligence directly into data and decision systems.
• Partner with Product, Data Science, and Engineering to shape problem definitions and deliver the solutions.
• Drive data quality, reliability, and governance standards across critical analytics systems. Build internal tools and frameworks to enable self‑serve analytics and faster iteration for product teams.

Skills

Python

SQL

Data pipelines

ML ops

Data architecture

Stakeholder management

Ambiguity handling

Education

Bachelor's degree or equivalent

Tools

Gemini CLI

Cider Agents

LLM Extensions

ADK Agents

Job description

Google LLC in Singapore is seeking a Senior Data Engineer to own product analytics for Payments. You will design, build and optimize data pipelines and analytics platforms that power product decisions and merchant partnerships.

Collaborating with Product, Data Science and Engineering teams, you will drive data quality, governance, and scalable AI-enabled analytics. You will translate business needs into production data systems and insights, enabling faster iteration across the Payments stack.