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Senior Python Developer

1 month ago

Sydney, New South Wales, Australia Firesoft People Full time

Data Engineer - Python

You will be working in the data team with a focus on improving the tools and systems used by various other teams within the business. Our aim is to improve efficiency by automating as many regular tasks as possible. All systems need to be ultra-reliable as they run continuously, and the team should strive to meet the various SLAs it needs to uphold. We constantly aim to reduce both the number of outages and the time required to recover from them. There is a lot of scope for growth with this role across technical, quantitative, and trading dimensions.

Key Responsibilities:

  • Development: Implement ETL/ELT pipelines for a variety of internal and external data sources, process position, trade and market data from multiple data sources, suggest appropriate tools and associated development processes, and develop with automated testing in mind to ensure high quality software.
  • Analysis: Identify potential solutions to increase automation of regular tasks, assist with ad-hoc analysis and tasks, and develop notebooks, dashboards & custom UIs to assist in interpretation of results.
  • Data: Usage of existing data architectures for storage and analysis, import data into common stores, and proactively monitor for and remediate data issues, utilizing self-healing pipelines.
  • Support: Provide ongoing support of relevant production systems, including out of hours, and continuously improve the monitoring and reliability of systems.
  • Other: Follow and apply the company values, adhere to all relevant exchange rules, regulations and company policies, perform other duties as assigned, and report to Head of Data.

Essential Requirements:

  • Maths, Engineering, Comp Sci Degree or comparable experience.
  • Python and SQL.
  • Interest in data analysis.
  • Fluent English + good communicator.
  • Passion for learning.

Preferable Requirements:

  • Working in a small team.
  • Ability to work autonomously.
  • Trading or finance experience.
  • Postgres, Django, Docker, Airflow.
  • Pandas, numpy (timeseries analysis).