Associate Data Operations Engineer

The Lottery Corporation

. Keep data pipelines and ETL processes running reliably .

Posted 10/22/2026full-timeBrisbane • AustraliaJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in maintaining reliable data pipelines and ETL processes, with strong SQL skills for troubleshooting data issues. Familiarity with cloud environments, infrastructure-as-code, and CI/CD practices is essential for supporting modern data and AI workloads.

Highest-signal resume keywords

SQL ProficiencyData Pipeline ManagementCloud Environment ExposureInfrastructure-As-Code ExperienceTroubleshooting Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLETLData WarehousingPythonData OperationsData/AI EngineeringPlatform EngineeringSRECI/CDKubernetes

Soft Skills

CuriosityInitiativeWillingness to Learn

Tools & Technologies

GCPAWSConfluentEvent Streaming

Industry Keywords

Data OperationsData EngineeringPlatform EngineeringAI WorkloadsOperational Processes

Tech Stack

Tools & technologies

AWSCloudETLGoogle Cloud PlatformKubernetesPythonSQL

About the role

Key responsibilities & impact

Keep data pipelines and ETL processes running reliably
Investigate data, reporting and platform issues
Use SQL to query and troubleshoot data
Respond to alerts and triage platform incidents
Improve monitoring, runbooks and operational processes
Identify opportunities for AI-enabled automation
Support cloud, Kubernetes and legacy data platforms
Work with infrastructure-as-code and CI/CD pipelines
Build capability across Confluent and event streaming
Participate in the 24/7 on-call roster once fully established

Requirements

What you’ll need

Around 1–3 years’ experience in Data Operations, Data/AI Engineering, Platform Engineering, SRE or similar
Strong SQL skills and confidence investigating data issues
Exposure to a cloud environment such as GCP or AWS
Understanding of data pipelines, ETL and data warehousing concepts
Exposure to infrastructure-as-code, CI/CD or Python
Interest in how modern Data and AI workloads operate in production
Strong troubleshooting skills and willingness to get stuck into incidents
Curiosity, initiative and genuine appetite to learn

Benefits

Comp & perks

Hybrid working through the ‘flex for great outcomes’ approach
Generous leave options
Reward and recognition programs
Dedicated learning and development platform
Career growth opportunities from within
Gender Affirmation Support
Employee inclusion networks
Diversity memberships and celebrations
Opportunities to volunteer with community partners
Dollar matching of employee fundraising efforts for registered charities
Safe, respectful and supportive work environment
Workplace accommodations during the hiring process