Data Engineer & Data Scientist
Back to All Jobs
[social_share]
Our client requires a resource to cover data engineering/data pipeline work and data science specialist work. This role combines responsibilities such as building and automating cloud-based data foundations, including data pipelines, data lake/Lakehouse structures, analytics models, dashboards, and reporting solutions. This includes supporting advanced analytics, surveillance, decision support, AI/ML use case prioritization, machine learning, NLP, forecasting, scenario analysis, and data ingestion on an Azure-based data and analytics platform.
Work is hybrid with 2 days per week onsite at client location in Toronto, ON.
Toronto, Ontario (Hybrid)
Responsibilities
Deliverables Include:
- Automated data pipelines and cloud data lake / Lakehouse structures supporting the capability and healthcare map.
- Analytics models and visualizations (dashboards and reports) conforming to standards.
- Prioritized AI / ML use cases and supporting models (forecasting, scenario analysis).
- Knowledge-transfer documentation and sessions for technical staff
Mandatory Requirements
Mandatory Requirements Include:
- Experience with multiple cloud-based data and analytics platforms and coding / programming / scripting tools to create, maintain, support, and operate cloud-based data and analytics products.
- Experience designing, creating, and maintaining cloud-based data lake and Lakehouse structures, automated data pipelines, analytics models, medallion architecture, and visualizations (dashboards and reporting) in real-world implementations.
- Deep experience with modern technology stacks: Azure Storage, Azure Data Lake, Azure Databricks Lakehouse, and Azure Synapse. Power BI, Python, SQL, Azure Databricks, and Azure Data Factory.
- Experience assessing client information-technology needs and objectives.
- Experience problem-solving to resolve complex, multi-component failures.
- Public Sector Experience is required
Required Skills:
- Experience preparing knowledge-transfer documentation and conducting knowledge transfer.
- A team player with a track record for meeting deadlines.
Expected Skills:
- Be an advanced professional able to apply concepts, practices, and procedures in practice.
- Work with minimal direction and lead and train others in technical components and concepts.
- Plan, lead, and deliver complex deliverables that provide options for decisions within the organization.
- Bring a high level of expertise in the required skill set, specialized in the technical area, and provide specific advisory support as required.
Desirable Requirements
- Written and oral communication skills to participate in team meetings, write and edit systems documentation, prepare and present written reports on findings and alternative solutions, and develop guidelines / best practices.
- Interpersonal skills to explain and discuss the advantages and disadvantages of various approaches.
- Experience conducting knowledge-transfer sessions and building documentation for technical staff on architecting, designing, and implementing end-to-end data and analytics products.
Job Posting ID: 56965
Location: Toronto, Ontario (Hybrid)
Estimated Starting Date: Aug 17, 2026
Estimated End Date: till Feb 12, 2027
Posting Closing Date: July 30, 2026
Apply for this Job Posting
Fill in the form below to submit your application for this position.