Data Engineer New Singapore

Eglp; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

Engineers Gate is seeking a Data Engineer to join the Core Technology Team in Singapore. You will build and scale the data platform used by portfolio managers and researchers, turning data requirements into datasets, tools, and platform capabilities they can use.

As part of a small, focused team, you will take ownership of projects early, learn from experienced engineers, and contribute ideas that shape the data infrastructure across the firm.

Qualifications

• 0–2 years of professional experience in software or data engineering.
• Programming experience in Python.
• Familiarity with data pipelines/ETL tools, relational databases, and SQL.

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.

Skills

Python

SQL

Data pipelines/ETL

Job description

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.