One of our clients is hiring for the role Python Developer / Data Engineer at Melbourne location

Role: Python Developer / Data Engineer

Location of work: Melbourne

Length of contract: 06 months

Contract extensions: Not Applicable

Security clearance: Permanent Resident with full working rights in Australia

Requirements:

Overview:

This role combines core Python development with data engineering. The successful candidate will prepare, process and transform raw data into structured, reliable outputs — building automated pipelines and reporting solutions that make data accessible for analytics, reporting and operational decision-making.

Key duties and responsibilities:

Responsibilities include, but are not limited to, the following:

- Develop and maintain Python applications for data manipulation and processing, applying language fundamentals (data structures, OOP, error handling) and libraries such as pandas and NumPy.
- Write and optimise SQL queries against relational databases, work with large datasets, and integrate

Python applications with data sources via ORMs or direct connections.
- Build, schedule and maintain automation, workflow and ETL processes — including reporting pipelines run reliably using tools such as Apache Airflow or task schedulers.
- Produce structured reporting outputs such as Excel, PDF and dashboard-based reports from raw data (e.g., openpyxl, Plotly,



Power BI integration).
- Apply sound software engineering practices — version control with Git, unit testing, and explicit code documentation.
- Work effectively within an agile team and contribute to CI/CD pipelines.

Technical skills:

- Core Python proficiency — strong grasp of language fundamentals (data structures, OOP, error handling) plus common libraries such as pandas and NumPy for data manipulation and processing.
- Database and SQL skills — ability to write and optimise queries against relational databases, work with large datasets, and integrate Python applications with data sources via ORMs or direct connections.
- Automation and scripting experience — building scheduled jobs, workflow automation and ETL processes; familiarity with tools such as Airflow or task schedulers to run reporting pipelines reliably.
- Reporting and output generation — experience producing structured outputs such as Excel, PDF or dashboard-based reports (e.g., openpyxl, Plotly, Power BI integration) from raw data.
- Software engineering practices — version control with Git, unit testing, code documentation, and comfort working in agile teams with CI/CD pipelines.

Note: If you would like to apply, then please share your updated resume and cover letter at [email protected]

📌 Python Developer (Melbourne)
🏢 IT Alliance Australia
📍 Melbourne