GIC

AVP/VP Data Engineer - Technology Group

GIC

Singapore · Full Time

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Experience
8+ yrs
Salary
—
Openings
1
Posted
1 week ago
Work mode
In office
Education
Bachelors or equivalent in STEM preferred
Resume
Required to apply

Where you'll work

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Job description

About GIC and the Technology Group

GIC stands among the world's foremost sovereign wealth funds, employing over 2,000 professionals across 11 international locations. The firm invests globally spanning more than 40 countries and varied asset classes. Being a part of GIC offers vast engagement with leading industry figures and a chance to contribute to Singapore’s financial future as well as the global communities where investments are made.

The Technology Group at GIC operates a continuous 24/7 global business supporting essential functions such as asset management, trading, investment operations, and risk management. By delivering secure, dependable, integrated solutions and harnessing new technologies, the team enhances the organization's technological foundation.

Enterprise and Data Technology

This division merges expertise in core technology and data to build platforms fostering integration, analytics, and innovation. It aims to create seamless, scalable, and secure solutions to interconnect systems, improve accessibility to data, and embed AI capabilities, thereby empowering informed decision-making and facilitating operational excellence throughout the organization.

Role Impact and Responsibilities

As a Data Engineer, you will play a critical role in advancing data-driven initiatives to support key investment data and analytics aligned with GIC’s vision of being a tech-forward, long-term global investor.

  • Lead the development and maintenance of enterprise investment data and analytics systems used by investment professionals and platforms firm-wide.
  • Engage closely with business leaders, product owners, and technical teams to identify priorities and desired business outcomes.
  • Apply your analytical expertise to develop business solutions, gaining exposure to essential investment processes that broaden your domain knowledge.
  • Oversee software delivery within agile projects, employing modern DevSecOps practices including Github, Jfrog, Jira, and data technologies like Databricks, Python, DBT, and Airflow, alongside AWS cloud-native technologies in collaboration with external experts and architects.
  • Provide hands-on technical leadership and mentorship to elevate engineering standards, helping attract and develop top-tier talent.
  • Collaborate effectively as a team player with investment and technology professionals across various levels, participating in exchanges with other industry partners within and beyond GIC.

Candidate Profile

  • Demonstrated passion for data and commitment to developing GIC’s data infrastructure.
  • Over 8 years of substantial experience in data engineering disciplines, including analytics, data transformation, modeling, reporting, and visualization, preferably within financial institutions or asset management.
  • Proficient in Python, PySpark, SparkSQL, SQL, DBT, and Pandas.
  • Solid understanding and hands-on experience with cloud platforms, especially AWS.
  • Experienced with containerization and orchestration tools like Docker and Kubernetes, version control workflows with GitHub, and DevOps techniques such as CI/CD pipelines and infrastructure as code using Terraform.
  • Skilled in data visualization tools such as Tableau and Microsoft Power BI.
  • Strong grasp of data architecture concepts including lake-house frameworks, data lineage, and quality governance.
  • Keen attention to detail coupled with eagerness to continually expand technological and financial data knowledge.
  • Strategic thinker and proactive problem solver, motivated and accountable.
  • Adept in system design methodologies to dissect complex problems into simpler components to drive business outcomes.
  • Effective communicator with the ability to convey complex technical ideas to diverse audiences clearly.
  • Proven leadership skills for managing and mentoring data engineering teams, alongside strong business acumen to collaborate and influence stakeholders across functions and seniority.
  • An academic background in a STEM discipline is advantageous.

Work Culture and Values

GIC fosters an innovative, agile, and inclusive environment encouraging employees to share ideas, challenge boundaries, and be heard. The organization operates under the PRIME values: Prudence, Respect, Integrity, Merit, and Excellence, guiding decision-making and daily actions.

The workplace balances collaboration and flexibility, with employees expected to be in the office four days weekly but afforded autonomy in choosing work-from-home days as per situational needs.

Equal Opportunity Commitment

GIC is dedicated to diversity and equality, ensuring fair treatment regardless of race, religion, gender, sexual orientation, age, and other factors. Accommodations are provided as necessary throughout the recruitment and employment phases.

Minimum education

Bachelor's Degree

Tools & software

Tableau required Docker required Kubernetes required GitHub required Microsoft Power BI required Amazon Web Services AWS required Terraform required dbt required

How they work

Communication Problem Solving Attention to Detail Leadership Strategic Thinking

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