M09 - Data Engineer at FPT Asia Pacific Pte Ltd

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

05 May, 26

Salary

0.0

Posted On

04 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Pipelines, SQL, Data Modelling, Event Tracking, Google Analytics 4, Big Query, AWS, Data Quality, Data Reliability, Monitoring, Autonomy, Product Context, Business Objectives, Collaboration, Analytics

Industry

IT Services and IT Consulting

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. Detailed responsibilities and requirements are outlined in the attached document, including but not limited to: 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. We are seeking candidates with: 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.

Responsibilities

The Data Engineer will build, own, and improve data foundations for product analytics and decision-making. This includes designing event-level tracking and managing databases to support analytical needs.