The Data Engineer is responsible for building and operating the data pipelines and system integrations that support regulated gaming, anti-money laundering, financial, and enterprise reporting. These services must be reliable, traceable, secure, and ready to support audit and regulatory requirements.You will report to the Manager, Data Platforms and work with operators, vendors, cybersecurity, privacy, compliance, finance, and other business stakeholders.Why Join AiGC?AiGC is building a up-to-date, regulated conduct and manage crown agency from the ground up. This is a rare opportunity to step into an organization at the earliest stage and shape how our operation comes together.Who You AreIn the role of Data Engineer, you will work hands-on across cloud data ingestion, enterprise integration, infrastructure as code, CI/CD, observability, and data quality. You will help onboard new operator and corporate data sources, strengthen production reliability, and support internal reporting, dashboards, validation, and other data products used across AiGC.About the RoleIn this role you will own:Production Data IngestionDesign, build, test, deploy, and operate operator, transactional, and AML-relevant ingestion pipelinesEstablish and monitor data freshness, completeness, and processing targetsDevelop repeatable onboarding patterns for new operators, feeds, and source systemsReliability and Data QualityImplement idempotency, dead-letter handling, retry, replay, alerting, and recovery patternsMonitor pipeline lag, failures, schema drift, and service-level objectivesImplement validation, reconciliation, lineage, and traceability controls for regulated reportingDeliver API-based, event-driven, and batch integrations across enterprise and SaaS systemsBuild reusable connectors for finance/ERP, ITSM, identity, CRM,



and other corporate platformsDocument interfaces, data contracts, dependencies, and operational proceduresInfrastructure as Code and CI/CDManage data platform infrastructure through Terraform and/or BicepBuild automated deployment workflows across development, test, and production using Azure DevOps or GitHub ActionsApply disciplined Git, code review, approval, and source-control practicesStakeholder and Operational SupportDiagnose production issues and improve systems to prevent recurrenceWork with operators, vendors, cybersecurity, privacy, compliance, finance, and business stakeholdersMaintain clear technical and operational documentationWhat You BringQualificationsPost-secondary degree or diploma in computer science, software engineering, data engineering, information systems, or a related discipline; an equivalent combination of education and experience may be consideredProgressive experience building and operating production data pipelines and enterprise integrations in cloud environmentsHands-on experience with Azure data services such as ADLS Gen2, Azure Functions, Event Grid or Event Hubs, Data Factory, Logic Apps, Service Bus, and API ManagementStrong SQL and Python skillsExperience with infrastructure as code using Terraform and/or Bicep and automated delivery using Azure DevOps or GitHub ActionsKnowledge of data quality, reconciliation, lineage, observability, and failure-recovery patternsDemonstrated ability to use AI-assisted development tools with sound delegation, verification, privacy, security, and quality controlsStrong written communication, documentation, problem-solving, and stakeholder collaboration skillsExperience with PySpark and Databricks preferredExperience in a regulated, audited, privacy-sensitive, or high-accountability environment preferredKnowledge of AML, FINTRAC, privacy, or gaming regulatory requirements preferred

📌 Data Engineer (Edmonton)
🏢 Alberta iGaming Corporation (AiGC)
📍 Edmonton