Senior Engineer - Python - Global Gaming Reporting

The mission of the role is to transform the Global Gaming organization by creating and operating python code to automate repetitive processes in accordance with the Reporting Center of Excellence standards and governance.
In this role, you will focus on automating manual, repetitive tasks using Python Automation Code. You will work closely with operations leaders, process owners, and process SMEs to define, develop, and deploy new automation solutions and refine and optimize existing solutions. We are seeking a highly technical, creative, and self-motivated individual who is a team player.
The Senior Engineer – Python Automation is responsible for designing, implementing, and improving complex automation solutions, ensuring adherence to high technical standards. This role involves mentoring team members, driving technical excellence, and contributing to the enhancement of automation frameworks and methodologies.
The role is operational, with key outcomes focused on supporting the Global Gaming organization in achieving its strategic automation goals and deliverables while executing the end-to-end automation framework encompassing governance, collaboration with business partners for intake, automation development, testing, sustainability documentation, and ensuring the continual production and operation of automation.

What You'll Do

• Develop Full Life Cycle of Automation Solutions from intake to development, to debugging, to testing, to implementation into production, and to writing documentation all with the Reporting Center of Excellence’s Best Practices and Governance.

• Review all created automated solutions with the lead engineer to ensure objectives and best practices are met.

• Develop sustainability documentation for each automated process; review other team member's sustainability documentation; and contribute to team training and professional development activities.

• Run and maintain 500+ existing automation processes to ensure consistent, up-to-date, and accurate operating rhythm.

• Lead some reoccurring meetings with business stakeholders to provide functional and technical expertise in areas including identifying automation opportunities, process improvement, high-level details of the end-to-end automation process, and Automation Governance on how to best set up their processes for automation success in advance.

• Research and develop code to further improve existing automation (i.e. faster run times, better ways, more sustainable).

• Assist the Reporting Center of Excellence to drive strategic and tactical roll-out of solutions to achieve organizational automation goals.

• Lead the development of Python-based tools to automate large-scale repetitive tasks, such as integrating multiple data sources, generating reports, and system reconciliation.

• Conduct thorough reviews of automation code created by team members, providing constructive feedback and ensuring compliance with best practices and organizational standards.

• Mentor and train junior engineers, fostering skill development in Python, automation frameworks, and problem-solving techniques.

• Identify opportunities for process improvements and implement solutions to optimize existing automation (e.g., runtime performance, reliability).

• Research and integrate new Python libraries and tools to enhance automation capabilities (e.g., asynchronous programming, and parallel processing frameworks).

• Support proof-of-concept developments for evaluating new tools and frameworks for automation efficiency.

• Perform other related duties as assigned.

What We're Looking For

• Bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics, or similar

• 4 - 6 years of experience in Python Development

• Able to work with a wide range of data sources including multiple ERP systems and legacy environments

• Ability to set and accomplish goals

• Excellent organizational skills

• Excellent interpersonal skills required

• Must possess a high level of personal and professional accountability and be able to enlist the cooperation of peer groups involved in common business goals and objectives

• Ability to meet changing demands and to adapt to frequently changing priorities

Advanced skillset in:

• Python

• Microsoft Office (Excel, PowerPoint, Teams)

• Preferred experience (not required), any of:

• R

• SQL

• Java, C++, C#, HTML

• Selenium

• PowerBI or any other Dashboarding Tool

Why Aristocrat?

Aristocrat is a world leader in gaming content and technology, and a top-tier publisher of free-to-play mobile games. We deliver great performance for our B2B customers and bring joy to the lives of the millions of people who love to play our casino and mobile games. And while we focus on fun, we never forget our responsibilities. We strive to lead the way in responsible gameplay, and to lift the bar in company governance, employee wellbeing and sustainability. We’re a diverse business united by shared values and an inspiring mission to bring joy to life through the power of play.

We aim to create an environment where individual differences are valued, and all employees have the opportunity to realize their potential. We welcome and encourage applications from all people regardless of age, gender, race, ethnicity, cultural background, disability status or LGBTQ+ identity. We offer a range of flexible working options through all.flex, our flexible hybrid work model and invite you to have a conversation with us about flexible working. EEO M/F/D/V

• World Leader in Gaming Entertainment

• Robust benefits package

• Global career opportunities

Our Values

• All about the Player

• Talent Unleashed

• Collective Brilliance

• Good Business Good Citizen

The US based roles may require registration with the Nevada Gaming Control Board (NGCB) and/or other gaming jurisdictions in which we operate.

Travel ExpectationsNone

Pay Range$82,263 - $152,774 per year

Our goal is to pay a market competitive salary focusing near the median of our pay ranges. However, final offers for all positions will be based on several factors such as experience level, education, skills, work location, and internal pay equity.