Data Platform Engineer
Summary
Builds and scales a data platform and pipelines for a trading business using Python, SQL, cloud tech, and data lakehouse tools like Apache Iceberg.
Overview
We are looking for an exceptional Software Engineer to be an integral member of the Data Engineering team. We work closely to solve challenging problems that have direct impact on our business and trading.
Requirments
In this role, you will play a key part in designing, building, and expanding our data platform, with a focus on the development of our new data pipeline framework. You will have the opportunity to develop highly scalable and performant solutions, while partnering with various stakeholders.
Prior experience with financial data is beneficial but not necessary; we welcome talented developers without a background in financial services and are happy to provide training and guidance.
Responsibilities
- Designing and developing scalable and robust services using best practices
- Writing automated tests
- Maintaining, and scaling delivery/integration pipelines
- Developing reusable libraries for the Data Engineering team
- Collaborating with engineering teams and researchers to propose and develop new framework features
Qualifications
- Your present skillset: Deep experience and passion for programming, design, and architecture (Python preferred)
- Knowledge of testing as part of continuous delivery and integration pipelines
- Familiarity with SQL and relational databases
- Knowledge of data lakes and data lakehouses (e.g. Apache Iceberg, Delta Lake, Snowflake)
- Excellent communication skills, and ability to collaborate effectively in a small, close-knit team
- Familiarity with cloud technologies (AWS preferred)
- Fluency in English