Client: Ministry of Public and Business Service Delivery and Procurement – RQ11676
We are seeking an experienced
Intermediate Software Developer – ETL (Power BI Developer) with strong expertise in Microsoft Power BI, DAX, Power Query (M), SQL, data modelling, and enterprise business intelligence solutions. The ideal candidate will have experience developing interactive dashboards, reports, semantic models, and data visualizations while working with large datasets and complex business requirements. The successful candidate will support the Government of Ontario's Data & AI transformation initiative by delivering reliable, scalable, and insightful reporting and analytics solutions across government programs and services.
Role Snapshot
- Job Title: RQ11676 – Software Developer – ETL – Intermediate
- Client: Ministry of Public and Business Service Delivery and Procurement
- Work Location: 222 Jarvis Street, Toronto, Ontario, Canada
- Work Arrangement: Onsite – 5 Days per Week
- Estimated Start Date: September 28, 2026
- Estimated End Date: March 31, 2027
- Business Days: 133.00
- Extension: Probable after the initial mandate
- Hours: 7.25 hours per day
- Security Level: No Clearance Required
Must Have
Qualifications
- Degree or diploma in Computer Science, Information Systems, Data Analytics, Business Intelligence, or a related field.
- Experience developing dashboards, reports, and visualizations using Microsoft Power BI.
- Strong knowledge of DAX, Power Query (M), and Power BI data modeling concepts.
- Experience working with SQL and relational databases.
- Understanding of data warehousing, dimensional modeling, and business intelligence best practices.
- Experience working with large datasets and transforming complex business requirements into reporting solutions.
- Strong analytical, problem-solving, and communication skills.
- Ability to work collaboratively with technical and non-technical stakeholders.
- Strong understanding of dimensional modelling, star schema design, and analytical data modelling concepts.
- Knowledge of data governance, metadata management, and data lineage principles.
Nice to Have
- Experience working with Databricks, including connecting Power BI to Databricks SQL Warehouses and Lakehouse data sources.
- Familiarity with Azure Data Platform services such as Azure Data Lake Storage, Azure Synapse Analytics, Azure Data Factory, or Microsoft Fabric.
- Experience with enterprise data governance and data quality initiatives.
- Knowledge of Python, R, or other analytics tools.
- Experience supporting data and analytics platforms within a large public-sector or enterprise environment.
- Exposure to Agile delivery methodologies and DevOps practices.
Description
Role Overview
The Government of Ontario is undertaking a large-scale Data & AI transformation initiative, with the Ontario Data Platform (ODP) serving as the enterprise technology ecosystem for data-driven decision-making, analytics, and artificial intelligence.
ODP provides a modern and scalable data environment that supports data ingestion, storage, processing, governance, quality, marketplace capabilities, and advanced analytics across ministries and government organizations.
We are seeking a
Power BI Developer to support the development, maintenance, and enhancement of enterprise reporting and analytics solutions. The successful candidate will work closely with business stakeholders, data engineers, architects, and product teams to deliver insightful dashboards, reports, and data visualizations that enable evidence-based decision-making across government programs and services.
Key Responsibilities
- Power BI Development & Reporting
- Design, develop, and maintain interactive Power BI dashboards and reports to support business and operational needs.
- Create data models, measures, and calculations using DAX to deliver meaningful business insights.
- Implement data visualization best practices to ensure reports are intuitive, accessible, and actionable.
- Gather and analyze business requirements and translate them into reporting solutions.
- Develop and maintain enterprise semantic models, datasets, and reusable reporting assets that support standardized analytics and reporting.
- Data Integration & Analytics Support
- Connect and integrate data from various enterprise data sources, including databases, APIs, cloud platforms, and data warehouses.
- Develop and optimize Power Query (M) transformations for efficient data preparation and reporting.
- Collaborate with data engineering teams to ensure data quality, governance, and consistency across reporting solutions.
- Support ad hoc data analysis and reporting requests from business stakeholders.
- Perform data validation, reconciliation, and user acceptance testing (UAT) activities to ensure reporting accuracy and integrity.
- Performance, Governance & Support
- Monitor and optimize report performance, data refresh schedules, and workspace administration.
- Apply security models, row-level security (RLS), and governance standards within Power BI.
- Troubleshoot data, visualization, and performance issues and provide ongoing support to users.
- Develop and maintain documentation for reports, datasets, and reporting standards.
- Maintain data lineage, metadata, and documentation for reporting assets and semantic models.
- Ensure reporting solutions comply with organizational data governance, security, privacy, and accessibility standards.
- Stakeholder Engagement & Knowledge Sharing
- Work closely with business users to understand reporting requirements and identify opportunities for enhanced analytics.
- Provide guidance and training to report consumers and business teams on Power BI capabilities and best practices.
- Participate in Agile delivery teams and contribute to continuous improvement initiatives.
Experience And Skill Set Requirements
- Technical (Azure/Databricks) – 80%
- Strong technical expertise in Microsoft Power BI, including dashboard development, reporting, data visualization, and enterprise analytics solutions.
- Strong knowledge of DAX, Power Query (M), and Power BI data modelling concepts.
- Experience working with SQL and relational databases.
- Understanding of data warehousing, dimensional modelling, star schema design, and analytical data modelling concepts.
- Experience developing and maintaining enterprise semantic models, datasets, and reusable reporting assets.
- Experience integrating data from enterprise data sources, including databases, APIs, cloud platforms, and data warehouses.
- Experience working with large datasets and transforming complex business requirements into reporting solutions.
- Knowledge of data governance, metadata management, and data lineage principles.
- Experience with data validation, reconciliation, and user acceptance testing (UAT).
- Understanding of Power BI security models, row-level security (RLS), workspace administration, and governance standards.
- Ability to monitor and optimize report performance and data refresh schedules.
- Experience troubleshooting data, visualization, and performance-related issues.
- Familiarity with Databricks, including connecting Power BI to Databricks SQL Warehouses and Lakehouse data sources.
- Familiarity with Azure Data Platform services such as Azure Data Lake Storage, Azure Synapse Analytics, Azure Data Factory, or Microsoft Fabric.
- Knowledge of Python, R, or other analytics tools.
- Experience with enterprise data governance and data quality initiatives.
- Exposure to Agile delivery methodologies and DevOps practices.
- Communication – 10%
- Strong analytical, problem-solving, and communication skills.
- Ability to work collaboratively with technical and non-technical stakeholders.
- Strong ability to gather and analyze business requirements and translate them into effective reporting solutions.
- Ability to work closely with business users, data engineers, architects, and product teams.
- Ability to provide guidance and training to report consumers and business teams on Power BI capabilities and best practices.
- Ability to support ad hoc data analysis and reporting requests from business stakeholders.
- Ability to participate effectively in Agile delivery teams and contribute to continuous improvement initiatives.
- Public Sector – 10%
- Experience supporting data and analytics platforms within a large public-sector or enterprise environment.
- Understanding of enterprise data governance, data quality, security, privacy, and accessibility standards.
- Ability to collaborate with stakeholders across government programs and organizations.
- Understanding of the importance of evidence-based decision-making through enterprise reporting and analytics solutions.
How to Apply
If you are interested and your profile matches the requirements, kindly send the following mandatory documents to
hrsmss@smsoftconsulting.com by
Tuesday, November 10, 2026, at 10:00 AM EST.
Mandatory Documents
- Updated Resume in Word format (Mandatory)
- References (Mandatory)
- Expected Hourly Rate (Mandatory)
- Visa Status (Mandatory)
- LinkedIn ID (Mandatory)
Without the mandatory documents, we cannot submit a candidate.
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Additional Information
- Onsite Requirement: 5 days per week
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