VP, Data Engineer, Data Strategy Group

Join to apply for the VP, Data Engineer, Data Strategy Group role at GIC
.

Join to apply for the VP, Data Engineer, Data Strategy Group role at GIC
.

Get AI-powered advice on this job and more exclusive features.

GIC is one of the world’s largest sovereign wealth funds. With over 2,000 employees across 11 locations around the world, we invest in more than 40 countries globally across asset classes and businesses. Working at GIC gives you exposure to an extraordinary network of the world’s industry leaders. As a leading global long-term investor, we Work at the Point of Impact for Singapore’s financial future, and the communities we invest in worldwide.

Data Strategy Group (DSG) harnesses and leverages on GIC’s most valuable asset – Data, to drive insights, results and solve real business challenges. We ingest, analyse, and combine data with context across all industries and asset classes to enable investment decisions and enhance investment process. Together, we strive to build a high-performance enterprise data infrastructure, create results-driven approach with data products and strive to be a data-driven organization.

You will help to engineer outstanding data solutions to deliver data services ng modern and innovative data technologies, the team enables GIC colleagues to securely, and seamlessly access data.

You will be empowered to be at the top of your game by providing technical contributions to achieve data-driven outcomes to power critical investment data & analytics in GIC’s vision of being a tech-driven, global, long-term investment firm.

Be part of an ambitious team that provides investment data services for enterprise activities. You can make a difference in our forward-looking journey to shape our world of investments.

• Play a pivotal role in building and supporting enterprise investment data & analytics systems consumed by investment professionals and platforms across the firm. You will also develop and maintain relationships with business leaders, product management and technical teams to understand priorities and expected business outcomes.
• Develop business solutions using your strong analytical skills, and help the team bring technology value directly to the business. You will also be exposed to key investment processes across the firm, learning valuable business domain knowledge.
• Lead software delivery for fast-moving agile projects with modern Dev Sec Ops  practices (e.g. Github, Jfrog, Jira) and data technologies (eg. Databricks, Python, DBT, Airflow). You will also work with external experts and solution architects on with AWS cloud native technologies.
• Actively provide technical leadership, direction and mentorship to raise the quality bar for engineering talent – attracting, retaining, and improving the best developers in the industry.
• Become an excellent team player with a collaborative mind-set, you will work directly with investment and technology professionals at different levels. You will also work alongside experienced professionals across our extended Technology team in GIC as well as have exchanges with other industry partners.

• Join us if you have a passion for data and want to be part of a team in building and developing GIC’s data foundation and infrastructure.
• 8+ years hands on experience working and leading development work in data engineering, including data analytics, data transformation, data modelling, reporting, data visualization, preferably in financial institutions or in asset management services
• Experience in the following skills:
• • Extensive experience in Python, PySpark, Spark
    
    SQL, SQL, DBT, and Pandas
  • Good understanding and experience with cloud services, such as AWS
  • Good experience with Docker, Kubernetes, Git Hub workflows, and other Dev Ops capabilities such as CI/CD pipelines and Terraform
  • Good experience in visualization or BI tools such as Tableau, or Microsoft Power BI
  • Strong understanding in data architecture, management & governance concepts related to lake-house, data lineage and data…