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 Solid 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
- Solid 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 skilled 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 [email protected] for immediate consideration to learn more about this opportunity.

Stafingo is committed to connecting exceptional technology professionals with meaningful opportunities across Canada.

📌 Senior Data Scientist (Toronto)
🏢 StafinGo
📍 Toronto