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 modern, 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 Are In 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 Role In this role you will own:
Production Data Ingestion Design, build, test, deploy, and operate operator, transactional, and AML-relevant ingestion pipelines
Establish and monitor data freshness, completeness, and processing targets
Develop repeatable onboarding patterns for new operators, feeds, and source systems
Reliability and Data Quality Implement idempotency, dead-letter handling, retry, replay, alerting, and recovery patterns
Monitor pipeline lag, failures, schema drift, and service-level objectives
Implement validation, reconciliation, lineage, and traceability controls for regulated reporting
Deliver API-based, event-driven, and batch integrations across enterprise and SaaS systems
Build reusable connectors for finance/ERP, ITSM, identity, CRM, and other corporate platforms
Document interfaces,



data contracts, dependencies, and operational procedures
Infrastructure as Code and CI/CD Manage data platform infrastructure through Terraform and/or Bicep
Build automated deployment workflows across development, test, and production using Azure DevOps or GitHub Actions
Apply disciplined Git, code review, approval, and source-control practices
Stakeholder and Operational Support Diagnose production issues and improve systems to prevent recurrence
Work with operators, vendors, cybersecurity, privacy, compliance, finance, and business stakeholders
Maintain clear technical and operational documentation
What You Bring Qualifications Post-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 considered
Progressive experience building and operating production data pipelines and enterprise integrations in cloud environments
Hands-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 Management
Strong SQL and Python skills
Experience with infrastructure as code using Terraform and/or Bicep and automated delivery using Azure DevOps or GitHub Actions
Knowledge of data quality, reconciliation, lineage, observability, and failure-recovery patterns
Demonstrated ability to use AI-assisted development tools with sound delegation, verification, privacy, security, and quality controls
Solid written communication, documentation, problem-solving, and stakeholder collaboration skills
Experience with PySpark and Databricks preferred
Experience in a regulated, audited, privacy-sensitive, or high-accountability environment preferred
Knowledge of AML, FINTRAC, privacy, or gaming regulatory requirements preferred

#J-18808-Ljbffr

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