Data Foundation Engineer

2 weeks ago


Singapore beBeeSpecialist Full time $125,000 - $175,000
Engineering Data Solutions Specialist

As a key member of our team, you will be responsible for engineering outstanding data solutions to deliver high-quality data services at scale. Using modern and innovative data technologies, the team enables seamless access to data.

What impact can you make in this role?

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.


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.

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 DevSecOps practices (e.g. Github, Jfrog, Jira) and data technologies (eg. Databricks, Python, DBT, Airflow).

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.

What makes you a successful candidate?

Join us if you have a passion for data and want to be part of a team in building and developing our 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


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