Data Engineer New Singapore
Eglp · Singapore, Singapore ·
- Category
- Data engineering
Data Engineer joining Engineers Gate's Core Technology Team in Singapore to build and scale the firm's centralized data platform used by investment teams. Day to day, you'll turn portfolio managers' and researchers' data requirements into datasets, ETL workflows, and tooling, primarily with Python, SQL, and relational databases.
Engineers Gate (EG) is a leading investment manager founded in 2014 as a quantitative, computer-driven trading firm. Today, EG operates as a diversified, multi-strategy investment platform that combines systematic research with selective discretionaryapproaches.EG's multi-manager platform allows independent investment teams to pursue distinctstrategies while benefiting from shared infrastructure, risk management, and operationalsupport. The firm’s collaborative groups of researchers, engineers, and investmentprofessionals deploy sophisticated statistical models, proprietary technology, anda centralized data platform to isolate and solve challenging problem sets in the globalfinancial markets.
About the Role:
The Data Engineer will join Engineers Gate’s Core Technology Team to build and scale the data platform that investment teams across the firm depend on. Working directly with portfolio managers and researchers, you will turn their data requirements into datasets, tools, and platform capabilities they can use. You will work across the full data lifecycle: evaluating new sources, understanding their quirks, building reliable processing workflows, and making data accessible through the platform. Alongside delivering new datasets, you will improve the infrastructure behindthem, finding ways to make each new integration faster, more reliable, and easier tosupport.
As part of a small, focused team, you will take ownership of projects early and see your work reach users. You will learn from experienced engineers, build a broad understanding of data engineering and have room to contribute ideas and put them into practice. There is plenty to build, and your work will make a difference from the outset.
Key Responsibilities:
- Take data projects from initial requirements through to delivery, working closely with
portfolio managers and quantitative researchers. - Investigate structured and unstructured financial datasets, understand their
coverage and limitations, and build robust workflows to process them. - Develop and improve the infrastructure that makes data available across the firm.
- Build reusable tools for data analysis and quality checks, applying what you learn
from each dataset to the next.
Required Skills, Qualifications, and Experience:
- Zero to two years of professional experience in software or data engineering.
- Programming experience in Python.
- Familiarity with data pipelines/ETL tools, relational databases, and/or SQL.