Senior BI Engineer building data models, semantic layers, and dashboards for Jobber’s small - business service platform. Driving governed self - service analytics and trusted business metrics.
About the role
- Senior Data Consultant supporting a high-demand analytics environment at Keyrus. Focusing on Power BI development and Databricks engineering in a hybrid work setting.
Responsibilities
- Keyrus North America is looking for a Senior Data Consultant to support a high-demand data and analytics environment, with a strong focus on Power BI development, Databricks engineering, and production support.
- This role is critical to maintaining and enhancing a live analytics ecosystem, requiring a consultant who can operate independently, troubleshoot complex issues, and deliver high-quality outputs under scrutiny.
- 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
- 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
- Nice to have: 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
Benefits
- A stimulating environment where you will be able to surpass yourself and discover new horizons
- A strong culture of innovation and entrepreneurship
- Many occasions to celebrate your success : 5 @ 7, team activities, birthdays, breakfasts and other special events
- Group insurance for you and your 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)
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