Data (Platform) Engineer

Role Overview

In this position, you will report to Chief Technology Officer and play a pivotal role in Fullerton’s Digital Transformation Journey, which encompasses enhancing our enterprise data warehouse. As a Data Engineer, you will utilize your data engineering expertise to spearhead comprehensive data projects in a dynamic and collaborative environment. This position demands a diverse range of skills to manage varied responsibilities within a lean team, ensuring effective data management and clear communication with business-focused teams

Key Duties and Responsibilities

  • Design, build, test and maintain highly scalable data components from requirements gathering to day to day maintenance.
  • Ensure those data components (data ingestion, data pipeline, etc) are implemented according the industry best practices (including security guidelines)
  • Provide technical leadership in selecting new data management technologies and software engineering tools into existing structures.
  • Collaborate with data management team, data scientists, IT team and business stakeholders to provide high quality deliverables and ensure that optimal data delivery architecture is consistent throughout ongoing projects.
  • Create custom software components and analytics applications to enhance process efficiency or create new value for the business.
  • Recommend ways to improve data reliability, efficiency, and quality through continuous improvement and industry best practices.
  • Foster a data-driven culture within the firm by sharing insights on industry trends and practices.

Education Qualification

  • Master’s degree in Computer Engineering, Computer Science, Data Analytics, or a related field.

Experience and Skills

  • 5 to 8 years of relevant experience, preferably in the asset management or banking industry.
  • Proficiency in Python, AWS services and Snowflake environments, including API management and CICD practices.
  • Experience with relational SQL and NoSQL databases
  • Demonstrated experience in leading data projects end-to-end
  • Experience in data pipeline management tool selection process (RFP management and analysis).
  • Excellent communication skills with the ability to work effectively with business-oriented teams.


  • Competitive, with performance-based incentives.

Register your interest for the position by writing to with your CV, resume and transcript (for internships only).