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About the Role
Keyrus North America is seeking a Senior Data Consultant to support a high-demand data and analytics environment, focusing on Power BI development, Databricks engineering, and production support. This role is crucial for maintaining and enhancing a live analytics ecosystem, requiring an independent consultant capable of troubleshooting complex issues and delivering high-quality outputs.
Responsibilities
- Design, build, and maintain enterprise-grade Power BI dashboards and reports
- Work closely with business stakeholders to translate requirements into scalable data models
- Optimize report performance (DAX, model design, query folding, etc.)
- Support and enhance reporting pipelines connected to Databricks and other sources
- Contribute to/report via MCP server-based report development workflows
- Develop and maintain data pipelines and transformations in Databricks
- Work with structured and semi-structured data sources
- Support medallion-style architectures (Bronze/Silver/Gold)
- Troubleshoot data quality, performance, and pipeline issues
- Contribute to evolving data engineering practices including AI-assisted/agentic workflows
- Perform QA validation across reports and data pipelines
- Identify gaps between business expectations and delivered outputs
- Act as a problem solver for production issues, often under tight timelines
- Ensure consistency, reliability, and trust in reporting outputs
- Work directly with business users and technical teams
- Own deliverables end-to-end with minimal oversight
- Support solution design, enhancements, and continuous improvement
- Contribute to documentation, standards, and best practices
Requirements
- Strong experience with Power BI development (data modeling, DAX, optimization)
- Hands-on experience with Databricks (PySpark, Python, SQL, notebooks)
- Solid understanding of modern data architectures (lakehouse / medallion)
- Strong SQL and data engineering skills
- Experience with Azure DevOps, CI/CD, and version control best practices
- Familiarity with distributed data environments and data pipeline orchestration
- Exposure to AI-assisted or agentic AI workflows in data engineering environments
- Excellent problem-solving and stakeholder communication skills
- Highly autonomous with strong attention to detail and quality
- Experience with MCP or similar orchestration frameworks
- Consulting experience in demanding client environments
- Experience supporting migrations, divestitures, or complex transformation initiatives
- Exposure to support/run environments and delivery coordination
- Familiarity with SAP Datasphere
Skills
- Power BI
- Databricks
- Python
- SQL
- Azure DevOps
- SAP Datasphere
- DAX
- PySpark
- Data Modeling
- Data Engineering
- CI/CD
- Version Control
- Problem-Solving
- Stakeholder Communication
Location
- Toronto, Canada
- Montreal, Canada
Work Type
- Hybrid
- Permanent
- Full-time
Experience Level
- Senior
Salary/Compensations
- $105,000 - $115,000 CAD
Benefits
- Stimulating environment for growth
- Strong culture of innovation and entrepreneurship
- Team activities and celebrations
- Group insurance for family members
- RRSP and DPSP participation plan
- Monthly Wellness Allowance
- Reimbursement of telecommunication costs
- Flexible work from home policy
- 4 weeks of paid vacation
- Language courses (French & English)
About the Company
- Keyrus is an international group of 2,800 consultants and experts across 28 countries.
- Keyrus helps organizations move from experimental AI to industrialized AI, from isolated agents to orchestrated systems, and from insight to execution.
- Keyrus designs the Operating System of the intelligent enterprise, embedding intelligence into core business processes to create sustainable value.
- Keyrus architects reliable Intelligence Foundations, Human in Command governance, and Performance Steering.
- Keyrus creates intelligent environments where technology amplifies human capabilities and performance compounds over time.
- With 30+ years of expertise and 2,800 employees across 28 countries, Keyrus helps organizations build adaptive, resilient, and continuously improving intelligent organizations.