Summary
An organization is seeking a Python Developer with data engineering expertise to build reliable data processing solutions. The role involves developing Python applications, transforming data, creating automated workflows, optimizing SQL queries, and delivering reporting solutions for business operations.
Highlights
Short-term contract opportunity combining software development and data engineering with hands-on work in automation, reporting, analytics pipelines, and modern Python technologies.
Description
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 clear 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 santoshi.s@italliance.com.au
