Senior Supply Chain Data Engineer

What You’ll Do

Design, develop, and deploy scalable analytics, automation, and AI-enabled solutions supporting Global Supply Chain operations.

Build supply chain applications and workflow tools that improve planning, procurement, logistics, and operational decision-making.

Develop and maintain Python-based solutions, automation scripts, and data-driven applications.

Design, build, and optimize data structures, pipelines, and self-service analytics capabilities within Snowflake.

Collaborate with business partners to find opportunities for automation, process improvement, and operational efficiency.

Translate business requirements into scalable technical solutions that deliver measurable value.

Support development of forecasting, scenario planning, inventory optimization, and decision-support capabilities.

Develop and enhance reporting, analytics, and business intelligence solutions supporting supply chain operations.

Ensure data quality, reliability, and performance across analytics applications, data pipelines, and reporting solutions.

Partner with Enterprise Data & Analytics and other technical teams to align with data standards, governance practices, and platform strategies.

Provide technical leadership, mentoring, and best-practice guidance across analytics, AI, and data engineering initiatives.

Research and evaluate emerging technologies, AI capabilities, and analytics tools to support continuous improvement and innovation.

What We’re Looking For

Bachelor’s degree in Computer Science, Data Science, Engineering, Supply Chain, Analytics, Information Systems, or related field required; advanced degree preferred.

7+ years of experience in analytics, business intelligence, data engineering, software development, supply chain analytics, or related technical fields.

Strong proficiency in Python, SQL, and modern data platforms such as Snowflake.

Experience designing and developing applications, automation solutions, or data-driven tools for business operations.

Experience building and maintaining scalable data pipelines, data models, and analytics environments.

Experience supporting business intelligence, reporting, and self-service analytics solutions.

Experience applying AI, machine learning, predictive analytics, or intelligent automation to business challenges preferred.

Ability to translate complex business requirements into practical technical solutions.

Experience working with supply chain, planning, logistics, procurement, manufacturing, or operational business functions preferred.

Strong communication, problem-solving, collaboration, and technical leadership skills in fast-paced environments.

This job description may have been reviewed and enhanced using AI-assisted tools to improve clarity, consistency, and inclusivity. All final content, role requirements and hiring decisions remain subject to human review and approval by Aristocrat.

Compensation Philosophy

We offer a comprehensive pay and benefits package designed to stay competitive in the market, support your wellbeing, and recognise your contribution to our success. Our approach is underpinned by a pay-for-performance belief in rewarding individual impact. Your specific compensation package will be determined by factors such as your skills, experience, qualifications, and location.

Depending on your role and location, you may be eligible for annual bonuses and incentives, health and wellbeing benefits, paid time off, retirement plans, insurance coverage, and other local or statutory benefits.

Specific details about compensation and benefits for this position will be discussed during the recruitment process.