Senior Data Consultant – Power BI, Databricks

Posted 4 days ago

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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)

Job type

Full Time

Experience level

Senior

Salary

CA$105,000 - CA$115,000 per year

Degree requirement

Bachelor's Degree

Tech skills

AzurePySparkPythonSQL

Location requirements

HybridMontrealCanada

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