Data Engineer
As a Data Engineer, the candidate will play a pivotal role in driving the engineering team's success and ensuring flawless execution of projects. This is an opportunity to be part of an ambitious team that values collaboration, technical excellence, and continuous growth.
The role involves composing, building, and maintaining scalable data pipelines that extract data from casino source systems, apply complex transformations, and load optimized datasets for analytics and downstream applications. It also includes writing efficient, production-quality code in Python and Node.js, developing and maintaining data models, and working with ETL orchestration tools to manage workflows.
Further responsibilities include optimizing queries and data processing logic, ensuring data integrity through validation and testing, investigating and resolving data quality issues, and collaborating with data scientists, analysts, and product teams to deliver solutions. Documenting pipelines, data models, and technical decisions is also a key aspect of the role.
- Compose, build, and maintain scalable data pipelines that extract data from casino source systems, apply complex transformations, and load optimized datasets for analytics and downstream applications.
- Write efficient, production-quality code in Python and Node.js that fulfills reliability, performance, and maintainability criteria.
- Develop and maintain data models that accurately represent business domains and support analytical use cases.
- Work with ETL orchestration tools to schedule, monitor, and manage workflows in production environments.
- Optimize queries and data processing logic to handle large volumes of transactional data efficiently.
- Ensure data integrity across the pipeline through validation, testing, and observability practices.
- Investigate and resolve data quality issues, pipeline failures, and performance bottlenecks.
- Collaborate with data scientists, analysts, and product teams to understand data requirements and deliver solutions that meet them.
- Document pipelines, data models, and technical decisions to support team knowledge and maintainability.
- 4+ years of professional experience in data engineering or a closely related field (required).
- Strong SQL skills and hands-on experience with data modeling for analytics or reporting use cases (required).
- Skilled in Python and Node.js for data processing and pipeline development (required).
- Experience working with ETL orchestration platforms to develop, schedule, and manage production data workflows (required).
- Solid understanding of ETL/ELT patterns and the trade-offs involved in crafting data pipelines at scale (required).
- Familiarity with Linux environments for pipeline deployment and operational tasks (required).
- Ability to work independently on well-defined problems, making sound technical decisions without close supervision (required).
- Strong attention to detail and a genuine dedication to data quality and reliability (required).
- Clear communicator who can explain technical decisions and data concepts to non-technical collaborators (required).
- Experience with graph databases such as Neo4j (nice-to-have).
- Robust benefits package.
- Global career opportunities.
- Health, dental, and vision insurance.
- Paid time off.
- 401(k) plan with employer matching.
Aristocrat Leisure Limited is an Australian gaming and technology company and one of the world's largest providers of gambling products. Listed on the Australian Securities Exchange and headquartered in Sydney, it designs and manufactures electronic gaming machines and casino-management systems, and runs sizeable online real-money gaming (Aristocrat Interactive) and mobile games (Pixel United) businesses. Founded in 1953, the group employs more than 7,000 people across over 20 locations worldwide. It is the largest gaming-machine manufacturer in Australia and among the biggest slot-machine makers globally.