Data Engineer Senior Location: Remote (Canada)
Duration: Contract
Project Overview A provincial government is driving a major digital transformation to deliver simpler more efficient and citizen-focused services. The Digital Design and Delivery Division (DDD) leads this initiative leveraging agile methodologies human-centered design and modern data practices.
We are seeking a Data Engineer to join cross-functional teams delivering service innovation program reviews and digital transformation initiatives across multiple ministries.
Role Overview As a Data Engineer you will design and build scalable data solutions while also contributing to advanced analytics. You will collaborate with product owners analysts and engineers to deliver high-quality data-driven insights that support government decision-making.
Key Responsibilities Data Engineering - Design build and maintain data pipelines across cloud (Azure AWS GCP) and on-prem environments
- Develop and optimize dimensional models (star/snowflake schemas)
- Build and manage ETL/ELT pipelines using SSIS and Azure Data Factory (ADF)
- Integrate data from APIs SQL/NoSQL databases and flat files
- Implement CI/CD pipelines for automated deployment and monitoring
- Ensure data quality governance and security (access control encryption)
- Develop scalable data lakes warehouses and curated data marts
Data Analytics - Analyze datasets to identify trends patterns and insights
- Develop dashboards and reports using Power BI and DAX
- Build statistical and predictive models using Python/R
- Translate technical findings into business insights for stakeholders
- Support Agile delivery and enable self-service analytics
Mandatory Qualifications - Bachelors degree in Computer Science IT or related field
- 5 years of experience as a Data Engineer/Data Analyst
- 5 years working with diverse data sources (cloud & on-prem)
- 3 years experience with:
- Data quality governance and security
- Dimensional modeling (star/snowflake schemas)
- Reporting & dashboards (Power BI or similar)
- Data migration across platforms
- SSIS Azure Data Factory APIs
- 2 years experience with Git CI/CD pipelines and modern development workflows
Nice to Have - Experience in application development
- Experience working in government/public sector environments
- Hands-on experience with PostgreSQL MongoDB Azure data services
- Exposure to AI/ML tools and workflows
Work Environment - Remote within Canada
- Occasional travel to Edmonton (if required)
- Must provide own equipment
- Collaboration via Microsoft Teams
Security Requirements - Criminal Record Check (mandatory)
- Potential Enhanced Security Clearance (if required)
- Eligibility for higher-level clearances (e.g. RCMP Top Secret) may be required
Additional Information - Agile cross-functional team environment
- Opportunity to work on high-impact public sector digital transformation projects
- Mandatory training includes privacy security and workplace compliance
Data Engineer Senior Location: Remote (Canada) Duration: Contract Project Overview A provincial government is driving a major digital transformation to deliver simpler more efficient and citizen-focused services. The Digital Design and Delivery Division (DDD) leads this initiative leveraging...
Data Engineer Senior Location: Remote (Canada)
Duration: Contract
Project Overview A provincial government is driving a major digital transformation to deliver simpler more efficient and citizen-focused services. The Digital Design and Delivery Division (DDD) leads this initiative leveraging agile methodologies human-centered design and modern data practices.
We are seeking a Data Engineer to join cross-functional teams delivering service innovation program reviews and digital transformation initiatives across multiple ministries.
Role Overview As a Data Engineer you will design and build scalable data solutions while also contributing to advanced analytics. You will collaborate with product owners analysts and engineers to deliver high-quality data-driven insights that support government decision-making.
Key Responsibilities Data Engineering - Design build and maintain data pipelines across cloud (Azure AWS GCP) and on-prem environments
- Develop and optimize dimensional models (star/snowflake schemas)
- Build and manage ETL/ELT pipelines using SSIS and Azure Data Factory (ADF)
- Integrate data from APIs SQL/NoSQL databases and flat files
- Implement CI/CD pipelines for automated deployment and monitoring
- Ensure data quality governance and security (access control encryption)
- Develop scalable data lakes warehouses and curated data marts
Data Analytics - Analyze datasets to identify trends patterns and insights
- Develop dashboards and reports using Power BI and DAX
- Build statistical and predictive models using Python/R
- Translate technical findings into business insights for stakeholders
- Support Agile delivery and enable self-service analytics
Mandatory Qualifications - Bachelors degree in Computer Science IT or related field
- 5 years of experience as a Data Engineer/Data Analyst
- 5 years working with diverse data sources (cloud & on-prem)
- 3 years experience with:
- Data quality governance and security
- Dimensional modeling (star/snowflake schemas)
- Reporting & dashboards (Power BI or similar)
- Data migration across platforms
- SSIS Azure Data Factory APIs
- 2 years experience with Git CI/CD pipelines and modern development workflows
Nice to Have - Experience in application development
- Experience working in government/public sector environments
- Hands-on experience with PostgreSQL MongoDB Azure data services
- Exposure to AI/ML tools and workflows
Work Environment - Remote within Canada
- Occasional travel to Edmonton (if required)
- Must provide own equipment
- Collaboration via Microsoft Teams
Security Requirements - Criminal Record Check (mandatory)
- Potential Enhanced Security Clearance (if required)
- Eligibility for higher-level clearances (e.g. RCMP Top Secret) may be required
Additional Information - Agile cross-functional team environment
- Opportunity to work on high-impact public sector digital transformation projects
- Mandatory training includes privacy security and workplace compliance
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