About the role
Data Engineer / Data Science Specialist/Senior Data Science Developer – Azure Data Platform (Public Sector) in GTA-Hybrid
Location: GTA, Ontario (Hybrid – 2 days/week onsite)
Employment Type: Contract Opportunity Client: Confidential Public Sector Organization Compensation: $60.00-$75.00 per hour
Stafingo is Hiring: Data Engineer / Data Science Specialist (Azure Data Platform) Stafingo is partnering with a leading public sector organization in the Greater Toronto Area (GTA) to identify an experienced Data Engineer / Data Science Specialist who can help advance enterprise analytics capabilities, cloud data infrastructure, and AI-driven decision support initiatives.
This role combines modern cloud data engineering, analytics platform development, and applied data science. The successful candidate will design and automate data pipelines, build scalable Azure Lakehouse solutions, develop analytics models, and help integrate AI/ML capabilities into public sector programs.
This is an exciting opportunity for a senior-level professional who enjoys working across data engineering, analytics, machine learning, and cloud platforms to deliver impactful solutions supporting population-level insights and evidence-based decision-making.
Role Overview
The Data Engineer / Data Science Specialist will build and enhance the cloud-based data foundation supporting advanced analytics initiatives. This individual will work with cross-functional teams to design, develop, and operationalize: Cloud data pipelines Data lake and Lakehouse architectures Analytics-ready datasets Data models and dashboards AI/ML use cases Forecasting and scenario analysis solutions
The successful candidate will contribute to building sustainable analytics capabilities through strong engineering practices, documentation, and knowledge transfer.
Key Responsibilities
Cloud Data Engineering & Platform Development Design, develop, and maintain scalable cloud-based data pipelines supporting analytics products and advanced analytical solutions. Build and optimize Azure-based data platforms, including data lakes, Lakehouse structures, and analytics environments. Develop automated ingestion, transformation, and processing workflows using modern data engineering tools. Implement enterprise data architectures using medallion architecture patterns (Bronze/Silver/Gold). Create analytics-ready datasets to support reporting, modelling, and decision-support initiatives.
Data Analytics & Data Science Enablement
Collaborate with analytics and business teams to identify and prioritize high-value data and AI/ML use cases. Support machine learning initiatives including forecasting, predictive modelling, and scenario analysis. Apply AI techniques such as machine learning and natural language processing (NLP) to enhance analytical capabilities. Develop models, dashboards, and visualizations that support evidence-based decisions.
Azure Data Platform Development
Design and implement solutions using: Azure Data Lake Storage Azure Databricks Azure Synapse Analytics Azure Data Factory Power BI Python SQL Support data acquisition, integration, governance, and secure data-sharing processes. Troubleshoot complex technical issues across data pipelines, integrations, and analytics solutions.
Collaboration & Knowledge Transfer
Work closely with technical teams, business stakeholders, and product teams to deliver analytics solutions. Participate in architecture discussions, technical reviews, and solution design activities. Prepare technical documentation, guidelines, and knowledge-transfer materials. Conduct knowledge-transfer sessions to support long-term sustainability of developed solutions.
Required Qualifications
Strong experience designing and implementing cloud-based data and analytics solutions.
Hands-on experience building and maintaining
Azure Data Lake / Lakehouse platforms Automated data pipelines Data transformation frameworks Analytics models Dashboards and reporting solutions Advanced experience with modern Azure data technologies: Azure Storage Azure Data Lake Storage (ADLS) Azure Databricks Azure Synapse Analytics Azure Data Factory Power BI Python SQL Experience with: Data engineering best practices Medallion architecture ETL/ELT development Data modelling Data visualization Cloud analytics platforms Strong analytical problem-solving skills with experience resolving complex technical challenges. Experience working with stakeholders to understand requirements and translate business needs into technical solutions. Experience creating technical documentation and conducting knowledge-transfer sessions. Ability to work independently while collaborating effectively within multidisciplinary teams.
Preferred / Nice-to-Have Skills
Experience supporting public sector, healthcare, or regulated environments. Experience with machine learning, NLP, forecasting, or predictive analytics. Experience developing AI-enabled analytics solutions. Experience with data governance, data-sharing frameworks, and enterprise analytics platforms. Experience mentoring team members and providing technical guidance.
Ideal Candidate Profile
We are looking for a senior professional who can: ✔ Lead complex data engineering initiatives with minimal supervision ✔ Design scalable Azure analytics platforms ✔ Bridge the gap between data engineering and data science ✔ Apply AI/ML techniques to real-world business challenges ✔ Communicate effectively with technical and non-technical stakeholders ✔ Deliver high-quality solutions in a fast-paced public sector environment
How to Apply
If you are an experienced Azure Data Engineer / Data Science Specialist passionate about cloud analytics, AI, and building impactful data solutions, we would like to hear from you. Please apply through LinkedIn or send your resume to harpreet@stafingo.com for immediate consideration to learn more about this opportunity.
Stafingo is committed to connecting exceptional technology professionals with meaningful opportunities across Canada.
Not the right fit? Search for Data Scientist jobs in Toronto, Ontario, Canada
About StafinGo
Welcome to StafinGo, a dynamic force in the world of staffing solutions. Elevate your workforce with our tailored recruitment services that blend innovation, expertise, and personalized attention. At StafinGo, we pride ourselves on being more than a staffing agency; we are your strategic staffing partner. With a deep understanding of the evolving job market, we navigate the complexities of recruitment, ensuring your business thrives through the power of exceptional talent.
Our Core Values: Excellence: We strive for excellence in every hiring, connecting businesses with candidates who not only meet the job requirements but also contribute to a culture of success.
Partnership: Your goals are our goals. We believe in collaborative partnerships, working closely with clients and candidates to build lasting connections that drive mutual success.
Innovation: In a rapidly changing world, we embrace innovation in our approach. From cutting-edge sourcing techniques to modern recruitment strategies, we stay ahead to meet your evolving needs.
Our Comprehensive Services: Recruitment and Placement: Tailored solutions for permanent, temporary, and contract staffing needs. Rigorous screening processes to match your company with the most qualified candidates.
Project Staffing: On-demand expertise for short-term projects, ensuring timely and efficient project completion. Access to a diverse talent pool with specialized skills.
Global Talent Acquisition: Expand your horizons with our global talent acquisition services. Navigate international recruitment complexities with ease.
Connect with us to stay updated on the latest industry trends, recruitment insights, and career opportunities. Follow our page for valuable content, job alerts, and more.
Let's build a future of success together. Whether you're a candidate seeking the next career leap or a company looking for the perfect fit, StafinGo is here to make it happen.
Similar Jobs
About the role
Data Engineer / Data Science Specialist/Senior Data Science Developer – Azure Data Platform (Public Sector) in GTA-Hybrid
Location: GTA, Ontario (Hybrid – 2 days/week onsite)
Employment Type: Contract Opportunity Client: Confidential Public Sector Organization Compensation: $60.00-$75.00 per hour
Stafingo is Hiring: Data Engineer / Data Science Specialist (Azure Data Platform) Stafingo is partnering with a leading public sector organization in the Greater Toronto Area (GTA) to identify an experienced Data Engineer / Data Science Specialist who can help advance enterprise analytics capabilities, cloud data infrastructure, and AI-driven decision support initiatives.
This role combines modern cloud data engineering, analytics platform development, and applied data science. The successful candidate will design and automate data pipelines, build scalable Azure Lakehouse solutions, develop analytics models, and help integrate AI/ML capabilities into public sector programs.
This is an exciting opportunity for a senior-level professional who enjoys working across data engineering, analytics, machine learning, and cloud platforms to deliver impactful solutions supporting population-level insights and evidence-based decision-making.
Role Overview
The Data Engineer / Data Science Specialist will build and enhance the cloud-based data foundation supporting advanced analytics initiatives. This individual will work with cross-functional teams to design, develop, and operationalize: Cloud data pipelines Data lake and Lakehouse architectures Analytics-ready datasets Data models and dashboards AI/ML use cases Forecasting and scenario analysis solutions
The successful candidate will contribute to building sustainable analytics capabilities through strong engineering practices, documentation, and knowledge transfer.
Key Responsibilities
Cloud Data Engineering & Platform Development Design, develop, and maintain scalable cloud-based data pipelines supporting analytics products and advanced analytical solutions. Build and optimize Azure-based data platforms, including data lakes, Lakehouse structures, and analytics environments. Develop automated ingestion, transformation, and processing workflows using modern data engineering tools. Implement enterprise data architectures using medallion architecture patterns (Bronze/Silver/Gold). Create analytics-ready datasets to support reporting, modelling, and decision-support initiatives.
Data Analytics & Data Science Enablement
Collaborate with analytics and business teams to identify and prioritize high-value data and AI/ML use cases. Support machine learning initiatives including forecasting, predictive modelling, and scenario analysis. Apply AI techniques such as machine learning and natural language processing (NLP) to enhance analytical capabilities. Develop models, dashboards, and visualizations that support evidence-based decisions.
Azure Data Platform Development
Design and implement solutions using: Azure Data Lake Storage Azure Databricks Azure Synapse Analytics Azure Data Factory Power BI Python SQL Support data acquisition, integration, governance, and secure data-sharing processes. Troubleshoot complex technical issues across data pipelines, integrations, and analytics solutions.
Collaboration & Knowledge Transfer
Work closely with technical teams, business stakeholders, and product teams to deliver analytics solutions. Participate in architecture discussions, technical reviews, and solution design activities. Prepare technical documentation, guidelines, and knowledge-transfer materials. Conduct knowledge-transfer sessions to support long-term sustainability of developed solutions.
Required Qualifications
Strong experience designing and implementing cloud-based data and analytics solutions.
Hands-on experience building and maintaining
Azure Data Lake / Lakehouse platforms Automated data pipelines Data transformation frameworks Analytics models Dashboards and reporting solutions Advanced experience with modern Azure data technologies: Azure Storage Azure Data Lake Storage (ADLS) Azure Databricks Azure Synapse Analytics Azure Data Factory Power BI Python SQL Experience with: Data engineering best practices Medallion architecture ETL/ELT development Data modelling Data visualization Cloud analytics platforms Strong analytical problem-solving skills with experience resolving complex technical challenges. Experience working with stakeholders to understand requirements and translate business needs into technical solutions. Experience creating technical documentation and conducting knowledge-transfer sessions. Ability to work independently while collaborating effectively within multidisciplinary teams.
Preferred / Nice-to-Have Skills
Experience supporting public sector, healthcare, or regulated environments. Experience with machine learning, NLP, forecasting, or predictive analytics. Experience developing AI-enabled analytics solutions. Experience with data governance, data-sharing frameworks, and enterprise analytics platforms. Experience mentoring team members and providing technical guidance.
Ideal Candidate Profile
We are looking for a senior professional who can: ✔ Lead complex data engineering initiatives with minimal supervision ✔ Design scalable Azure analytics platforms ✔ Bridge the gap between data engineering and data science ✔ Apply AI/ML techniques to real-world business challenges ✔ Communicate effectively with technical and non-technical stakeholders ✔ Deliver high-quality solutions in a fast-paced public sector environment
How to Apply
If you are an experienced Azure Data Engineer / Data Science Specialist passionate about cloud analytics, AI, and building impactful data solutions, we would like to hear from you. Please apply through LinkedIn or send your resume to harpreet@stafingo.com for immediate consideration to learn more about this opportunity.
Stafingo is committed to connecting exceptional technology professionals with meaningful opportunities across Canada.
Not the right fit? Search for Data Scientist jobs in Toronto, Ontario, Canada
About StafinGo
Welcome to StafinGo, a dynamic force in the world of staffing solutions. Elevate your workforce with our tailored recruitment services that blend innovation, expertise, and personalized attention. At StafinGo, we pride ourselves on being more than a staffing agency; we are your strategic staffing partner. With a deep understanding of the evolving job market, we navigate the complexities of recruitment, ensuring your business thrives through the power of exceptional talent.
Our Core Values: Excellence: We strive for excellence in every hiring, connecting businesses with candidates who not only meet the job requirements but also contribute to a culture of success.
Partnership: Your goals are our goals. We believe in collaborative partnerships, working closely with clients and candidates to build lasting connections that drive mutual success.
Innovation: In a rapidly changing world, we embrace innovation in our approach. From cutting-edge sourcing techniques to modern recruitment strategies, we stay ahead to meet your evolving needs.
Our Comprehensive Services: Recruitment and Placement: Tailored solutions for permanent, temporary, and contract staffing needs. Rigorous screening processes to match your company with the most qualified candidates.
Project Staffing: On-demand expertise for short-term projects, ensuring timely and efficient project completion. Access to a diverse talent pool with specialized skills.
Global Talent Acquisition: Expand your horizons with our global talent acquisition services. Navigate international recruitment complexities with ease.
Connect with us to stay updated on the latest industry trends, recruitment insights, and career opportunities. Follow our page for valuable content, job alerts, and more.
Let's build a future of success together. Whether you're a candidate seeking the next career leap or a company looking for the perfect fit, StafinGo is here to make it happen.