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Responsibilities
Data Engineering pipeline design and implementation experience within a commercial workplace.
Deliver robust data solutions for complex, enterprise-level environments.
Experience working with metadata-driven ELT/ETL frameworks and modern data orchestration tools.
Develop data processing solutions using Python, Scala or Java code for large-scale, cloud-based data warehouses that make use of big-data frameworks like Spark, Kafka, etc
Previous experience in working with legacy data warehouses and reverse-engineering designs from undocumented code.
Write and optimize complex SQL queries to efficiently process large datasets.
Demonstrated experience in breaking down complex problems and projects into manageable goals.
Build and maintaindbt models, tests, and documentation as part of a modular transformation layer.
Work with data quality engineer - to implement and enhancedata quality checks, anomaly detection, validation frameworks, and automated reconciliation processes.
Design and maintainautomated alerting and monitoringfor pipelines, data drifts, and upstream failures.
Deploy and manage applications and data services onKubernetes (K8s)in collaboration with DevOps/SRE teams.




Support BI and analytics teams by enabling accessible, trusted, and well-modeled data for reporting and dashboards.
Work within a scrum-based agile environment, breaking down complex projects into actionable tasks
Technical and Functional skills
Solid experience with agile methodologies (Kanban, Scrum).
Strong hands-on experience in:
dbt(development, testing, documentation, deployment) - Nice to have.
SQLfor advanced analysis and handling multi-terabyte datasets
Data quality frameworks, reconciliation logic, and validation patterns
Alerting/monitoring systemsCloud, Grafana, Airflow alerts, etc.
)
Kubernetes app deploymentand containerized workflows
Flexible, resilient, and passionate about delivering high-quality data solutions.
Excellent organizational and time management skills; ability to prioritize effectively.
Strong professionalism, confidentiality, and reliability.
Exceptional interpersonal skills and the ability to build strong relationships across teams.
Experience collaborating with remote or distributed teams.
A genuine interest in exploring new technologies and continuously improving engineering practices.
Seniority Level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Gambling Facilities and Casinos
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📌 Senior Data Engineer (Melbourne)
🏢 FDJ UNITED
📍 Melbourne