Senior Data Engineer

FDJ UNITED; City of Melbourne; On-site; AUD 100,000 - 130,000; Full time

Job summary

A reputable gaming company in Melbourne is seeking a Senior Data Engineer to deliver robust data solutions and support analytics teams. The ideal candidate will have extensive experience with data engineering pipelines, cloud-based architectures, and strong skills in SQL and Kubernetes. This role offers opportunities for growth and a collaborative environment, making it perfect for professionals passionate about high-quality data solutions.

Qualifications

• 5+ years of experience in data engineering.
• Experience with large-scale, cloud-based data warehouses.
• Strong hands-on experience with ELT/ETL frameworks and tools.

Responsibilities

• Design and implement data engineering pipelines.
• Deliver robust solutions for enterprise-level environments.
• Collaborate with BI and analytics teams.

Skills

Data Engineering pipeline design

Python

SQL

Kubernetes (K8s)

dbt

Agile methodologies

Data quality frameworks

Job description

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Responsibilities

• Data Engineering pipeline design and implementation experience within a commercial environment.
• 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 maintain dbt models, tests, and documentation as part of a modular transformation layer.
• Work with data quality engineer - to implement and enhance data quality checks, anomaly detection, validation frameworks, and automated reconciliation processes.
• Design and maintain automated alerting and monitoring for pipelines, data drifts, and upstream failures.
• Deploy and manage applications and data services on Kubernetes (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.
• SQL for advanced analysis and handling multi-terabyte datasets
• Data quality frameworks, reconciliation logic, and validation patterns
• Alerting/monitoring systemsCloud, Grafana, Airflow alerts, etc.)
• Kubernetes app deployment and 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