Senior Supply Chain Data Engineer — AI-Driven Analytics Architect

GamblingCareers.com; Las Vegas (NV); On-site; USD 140,000 - 170,000; Full time

Job summary

Aristocrat is seeking a Senior Supply Chain Data Engineer to design and deliver scalable analytics, AI-enabled solutions, and data-driven applications across Planning & Procurement, Logistics, and related functions.

The role focuses on building intelligent workflow solutions, self-service analytics, and scalable data platforms, partnering with business and tech teams to turn complex supply chain challenges into practical value.

Qualifications

• 7+ years of experience in analytics, BI, data engineering, software development, or related fields.
• Strong proficiency in Python, SQL, and Snowflake.
• Experience designing and developing applications, automation solutions, or data-driven tools for business operations.
• Experience building scalable data pipelines, data models, and analytics environments.
• Experience supporting BI, reporting, and self-service analytics; AI/ML experience preferred.
• Ability to translate complex business requirements into practical technical solutions.
• Experience in supply chain, planning, logistics, procurement, or manufacturing functions preferred.
• Strong communication, problem-solving, collaboration, and technical leadership skills.

Responsibilities

• 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 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.

Skills

Python

SQL

Snowflake

Data platforms

AI capabilities

Communication

Leadership

Data modeling

Education

Bachelor's degree in Computer Science, Data Science, Engineering, Supply Chain, Analytics, Information Systems, or related field

Advanced degree preferred

Tools

Snowflake

Job description

Aristocrat is seeking a Senior Supply Chain Data Engineer to design and deliver scalable analytics, AI-enabled solutions, and data-driven applications across Planning & Procurement, Logistics, and related functions.

The role focuses on building intelligent workflow solutions, self-service analytics, and scalable data platforms, partnering with business and tech teams to turn complex supply chain challenges into practical value.