Senior Supply Chain Data Engineer

Aristocrat Gaming•Las Vegas, NV

About The Position

Aristocrat is seeking a Senior Supply Chain Data Engineer to design and deliver scalable analytics, AI-enabled solutions, and data-driven applications supporting Global Supply Chain operations. This role combines supply chain expertise, software development, data engineering, and business intelligence to improve operational performance, decision-making, and process automation across Planning & Procurement, Logistics, and related supply chain functions. This role plays a key part in advancing supply chain capabilities through development of intelligent workflow solutions, self-service analytics, operational applications, and scalable data platforms. The position partners closely with business and technical teams to transform complex supply chain challenges into practical, high-impact solutions. The Senior Supply Chain Business Intelligence Engineer will work across analytics, application development, AI, and data engineering fields to develop tools that improve visibility, efficiency, planning effectiveness, and operational execution. This role offers an opportunity to build innovative solutions that directly influence how supply chain teams operate, collaborate, and make decisions.

Requirements

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.
Ability to translate complex business requirements into practical technical solutions.
Strong communication, problem-solving, collaboration, and technical leadership skills in fast-paced environments.

Nice To Haves

Experience applying AI, machine learning, predictive analytics, or intelligent automation to business challenges preferred.
Experience working with supply chain, planning, logistics, procurement, manufacturing, or operational business functions preferred.

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 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.