Senior Python Engineer – Automation

Overview

Senior Engineer – Python Automation at Aristocrat drives enterprise automation initiatives within the Reporting Center of Excellence. You architect and deliver end-to-end automation solutions, maintain hundreds of processes, and mentor peers to raise technical capability. You’ll lead collaboration with business teams, explore AI-enabled tooling, and ensure governance and sustainability of automation efforts. This is a hands-on, impact-focused role shaping scalable reporting and data reconciliation across ERP and legacy systems.

Pay / Benefits

• Robust benefits package
• Global career opportunities
• EEO M/F/D/V

Responsibilities

• Design and implement full automation lifecycle from intake to production and documentation
• Review automated solutions with team lead for alignment with objectives
• Develop sustainability documentation and contribute to team training
• Operate and maintain 500+ automation processes for reliability
• Lead cross-functional meetings to identify automation opportunities and governance
• Enhance automations through code improvements and new Python/AI tooling
• Review peers’ automation code and provide constructive feedback
• Mentor junior engineers in Python, automation frameworks, and problem-solving
• Identify process improvements and optimize existing automations
• Research new Python libraries and AI tools for automation efficiency
• Support PoC developments evaluating new automation tools
• Perform related duties as assigned

Key requirements

• High-level Python skills
• Strong communication and ability to work independently or in a team
• Experience with diverse data sources including multiple ERP systems and legacy environments
• Ability to set and achieve goals and strong organizational skills
• Excellent interpersonal skills and accountability
• Adaptability to changing demands and priorities

• Effective communicator
• Quick learner
• Attention to detail
• Python development
• Microsoft Office (Excel, PowerPoint, Teams)
• Experience with ERP data sources and multiple data sources

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