Data Engineer

Alberta iGaming Corporation (AiGC); Edmonton; On-site; CAD 95,000 - 135,000; Full time

Job summary

Alberta iGaming Corporation (AiGC) is seeking a Data Engineer to design, build, and operate data pipelines and system integrations across regulated gaming, AML, finance, and enterprise reporting. You will ensure reliability, traceability, security, and audit readiness in collaboration with stakeholders.

In this role you will own production data ingestion, data quality, CI/CD pipelines, and IaC with Terraform/Bicep.

Qualifications

• Post-secondary degree in computer science, software engineering, data engineering, information systems, or related discipline.
• 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.

Responsibilities

• 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
• 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

Skills

SQL & Python

Azure data services

PySpark & Databricks

Data quality & lineage

Stakeholder collaboration

Documentation

AI-assisted tooling

Security & privacy

Education

Bachelors in CS/SE or related

Tools

Terraform

Bicep

Azure DevOps

GitHub Actions

API Management

Job description

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
• Strong 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