Requirements

Expected technologies

Pandas

Polars

Optional technologies

AWS

Google Cloud Platform

Microsoft Azure

Airflow

Prefect

Operating system

Windows

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.

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.