Senior Data Engineer, Product Analytics, Payments

Google; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

Google in Singapore is on the lookout for a Senior Data Engineer to drive innovative solutions in product analytics, particularly within payments. The role involves designing and building agentic analytics systems while leading cross-functional teams.

The ideal candidate will have strong expertise in Python and SQL, and experience in machine learning and data architecture. This position combines technical leadership with strategic oversight of Google's diverse product partnerships.

Qualifications

• 5+ years of experience coding in Python and SQL.
• 5+ years of experience designing and deploying data pipelines.
• 5+ years of experience managing machine learning operations.

Responsibilities

• Design and build analytics systems using Large Language Models.
• Lead design of analytics infrastructure across Payments.
• Drive data quality and governance standards.

Skills

Python

SQL

Machine Learning

Data Architecture

AI/LLM-based systems

Education

Bachelor's degree or equivalent

Tools

Gemini Command-line Interface

Cider Agents

LLM Extensions

Agent Development Kit (ADK)

Job description

Senior Data Engineer, Product Analytics, Payments

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 5 years of experience coding in Python and SQL.
• 5 years of experience designing and deploying data pipelines, including managing data schemas and processing data volume workflows.
• 5 years of experience working with machine learning operations and data architecture design.

Preferred qualifications:

• 5 years of experience designing enterprise‑scale data platforms and analytics infrastructure.
• 5 years of experience with AI/LLM‑based systems, agentic workflows, or intelligent data applications.
• 5 years of experience with using Gemini Command‑line Interface, Cider Agents, LLM Extensions, Agent Development Kit (ADK) Agents etc.
• 3 years of experience partnering with stakeholders (e.g., users, partners, customer), and managing stakeholders or customers.
• Experience with Machine Learning for production workflows.
• Ability to operate across ambiguity and influence cross‑functional technical decisions.

About the job

As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross‑functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships.

You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources.

Whether it is paying online with Autofill, using tap and pay in stores, or using the Google Pay app, the Payments team at Google is focused on making payments simple, seamless, and secure. In addition to consumer payment technologies, the Payments team also powers the money movement between Google and its consumers and businesses.

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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.