About the project

• As a Software Engineer, you will play a pivotal role in supporting and scaling our data platform, ensuring seamless data pipeline orchestration, storage and compute optimization, as well as providing high performance data access interface to support our analytical software. This is a great opportunity to lead development of the critical part of product architecture.

Your responsibilities

• Develop and maintain robust data pipelines.
• Integrate and manage market data feeds.
• Optimise data storage and retrieval processes for efficiency.
• Enhance and create advanced data visualisation applications.

Our requirements

• Proficient in Python development.
• 3-7 years experience in software engineering or data engineering.
• Experience with data manipulation libraries/frameworks such as Pandas, Polars, etc.
• Skilled in data pipeline orchestration management libraries (e.g., Airflow, Prefect).
• Experience in data visualisation.

Optional

• Experience with cloud infrastructure (AWS, GCP, Azure).
• DevOps skills (CI/CD, containerisation).
• Familiarity with Plotly Dash for interactive data visualisations.

Technologies we use

This is how we work on a project

• Continuous Deployment

• Continuous Integration

• DevOps

What we offer

• Opportunities for continuous learning and professional development.

• A vibrant and collaborative work culture.