Data Engineer

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 behind them, finding ways to make each new integration faster, more reliable, and easier to support. 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.

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

Requirements

Undergraduate degree in a STEM field; One 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