Data Engineer

FPT Asia Pacific; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A data solutions firm in Singapore is looking for a Data Engineer to build and improve data foundations that support analytics and decision-making. The role requires a strong proficiency in SQL, experience with event tracking, and the ability to work autonomously within product and business contexts. Key responsibilities include designing data pipelines, ensuring data quality, and collaborating with cross-functional teams to deliver trusted insights.

Qualifications

• Experience building data pipelines for analytics or product data.
• Proficiency in SQL and data modeling.
• Hands-on experience with event tracking.

Responsibilities

• Building and evolving product data foundations for analytics.
• Implementing event-level tracking across web and product surfaces.
• Managing databases aligned to analytical and business needs.

Skills

SQL

Data modeling

Event tracking

Data quality assurance

Autonomous work

Tools

Google Analytics 4

Big Query

AWS

Job description

The ideal candidate will be responsible for building, owning, and continuously improving the data foundations that support product analytics and decision-making. Beyond technical execution, this role requires strong autonomy, sound judgement, and the ability to understand and contextualise data within product and business objectives. We are seeking a Data Engineer who proactively identifies gaps, asks the right questions, and partners with stakeholders.

This role emphasises data reliability, event tracking, and scalable pipelines, with a strong focus on enabling analysts and product teams to derive trusted, decision-ready insights.

Responsibilities

• Building, owning, and evolving product data foundations to support analytics and experimentation.
• Designing and implementing event-level tracking across web and product surfaces, with a clear understanding of product intent and usage behaviour.
• Constructing and managing databases and associated data marts aligned to analytical and business needs.
• Developing and maintaining end-to-end data pipelines from source systems to the data warehouse and downstream dashboards.
• Ensuring data quality, reliability, and observability, including validation, monitoring, and proactive issue detection.
• Enabling scalable dashboards and self-serve analytics, with consideration for usability and interpretability.
• Collaborating closely with Product, Analytics, and Business teams to translate requirements into robust data solutions and to advise on best practices.

Requirements

• Demonstrated experience building data pipelines for analytics or product data.
• Strong proficiency in SQL and data modelling.
• Hands-on experience with event tracking, preferably with Google Analytics 4 and Big Query.
• Familiarity with AWS.
• A proven track record in ensuring data quality, reliability, and monitoring.
• The ability to work autonomously, understand product and business context, and make informed recommendations that improve data outcomes.