Data Engineer

We are seeking a Senior Data Engineer to lead the design, implementation, and optimization of our modern data stack.

You'll work with tools like Snowflake, dbt, Airflow, and Terraform to build scalable, reliable, and modular data systems. This role will have a strong focus on enabling analytics through clean data modelling, automation, and observability - empowering domain teams with trusted, self-serve data products.

What You'll Do

Modern Data Platform Development

• Design and expand a Snowflake-based data platform, incorporating modular design principles.
• Orchestrate complex workflows using Apache Airflow and containerized jobs on Docker and Kubernetes.
• Use Terraform to define infrastructure as code for consistent, version-controlled deployments.

Pipeline Engineering & Automation

• Design robust ELT pipelines using Python, Spark, and dbt, processing structured and semi-structured data (e.g., JSON, Parquet).
• Automate ingestion and transformation layers while enforcing data contracts, quality rules, and schema validation.
• Build reusable, testable modules to reduce development effort and improve standardization.

Data Modelling & Analytics Enablement

• Own the semantic layer using dbt for transformation and modelling in Snowflake, including SCD and dimensional designs.
• Develop curated, documented, and test-covered data models that serve as trusted sources for analytics and reporting.
• Enable self-service analytics by partnering with analysts and product teams to understand data needs and deliver scalable solutions.

DevOps & Observability

• Establish CI/CD pipelines using GitHub Actions, integrating testing, linting, and automated deployment for dbt and data pipelines.
• Set up monitoring and alerting for pipeline health, SLA breaches, and data quality metrics.
• Implement practices for lineage tracking, documentation, and incident resolution.

Collaboration & Technical Leadership

• Partner with data analysts, scientists, and engineers to design efficient data flows and interfaces.
• Contribute to architectural decisions, roadmap planning, and tool evaluations.
• Mentor team members and champion engineering excellence through peer reviews, documentation, and shared learning.

What We're Looking for

Must-Have

• 8+ years of experience in data engineering.
• Expert-level experience with Snowflake and dbt in production-scale environments.
• Strong programming skills in Python and experience with Spark for large-scale transformations.
• Hands-on experience with Apache Airflow, Terraform, Docker, and Kubernetes.
• Solid grasp of dimensional modelling, modular transformation pipelines, and analytics enablement best practices.

Nice-to-Have

• Familiarity with real-time data streaming tools (e.g., Kafka, Spark Streaming).
• Experience with observability tools like Grafana, Plotly Dash, or lineage systems.
• Exposure to data mesh or federated data ownership models.

Company Summary

About Aristocrat

Aristocrat Leisure Limited (ASX: ALL) is a leading gaming content creation company powered by technology to deliver industry-leading casino games together with mobile games and online real money games, collectively entertaining millions of players worldwide, every day. Headquartered in Sydney, Australia, Aristocrat has three operating business units, spanning regulated land-based gaming (Aristocrat Gaming), social casino (Product Madness) and regulated online real money (Aristocrat Interactive). Our team of over 8,500 people across the globe are united by our company mission to bring joy to life through the power of play.

Our Values

• All about the Player

• Talent Unleashed

• Collective Brilliance

• Good Business Good Citizen

Travel Expectations

Additional Information

Depending on the nature of your role, you may be required to register with the Nevada Gaming Control Board (NGCB) and/or other gaming jurisdictions in which we operate.