Senior Data Consultant - Power BI & Databricks

Keyrus Canada

$105K — $115K *
Technical Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in Power BI development including data modeling and optimization.
  • Hands-on expertise with Databricks using PySpark, Python, and SQL.
  • Solid understanding of modern data architectures like lakehouse and medallion.
  • Demonstrated SQL and data engineering skills.
  • Experience with Azure DevOps and CI/CD best practices.
  • Familiarity with distributed data environments and orchestration of data pipelines.
  • Strong problem-solving abilities and excellent stakeholder communication.

Responsibilities

  • Develop and maintain enterprise-grade Power BI dashboards and reports.
  • Translate business requirements into scalable data models with stakeholders' input.
  • Enhance report performance through advanced techniques like DAX optimization.
  • Support and streamline reporting pipelines connected to Databricks.
  • Build and maintain data pipelines and transformations leveraging Databricks.
  • Troubleshoot data quality and performance issues in reporting and pipelines.
  • Act as the primary owner of deliverables while supporting cross-functional teams.

Benefits

  • Innovative work environment fostering professional growth.
  • Regular team-building and celebration activities to enhance camaraderie.
  • Comprehensive group insurance for employees and their families.
  • Participation in RRSP and DPSP plans for retirement savings.
  • Monthly wellness allowance to support employee health.
  • Reimbursement for telecommunication expenses.
  • Flexible remote working options to promote work-life balance.
  • Generous vacation policy with 4 weeks of paid time off.
  • Language courses available for both French and English.
Full Job Description
Location: Hybrid mode (Toronto or Montreal)

Keyrus Canada 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.

Key Responsibilities

  1. Power BI Development


  • 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


  1. Databricks Development


  • 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


  1. QA, Gap Analysis & Troubleshooting


  • 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


  1. Cross-Functional Delivery


  • 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


Required Skills & Experience
• 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

Technology Stack: Databricks, Power BI, Python, SQL, Azure DevOps, SAP Datasphere

What we offer
  • 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);

The expected annual compensation for this position ranges from $105,000 to $115,000 CAD, depending on experience, skills, location, and internal equity. This salary range is provided as a guideline and may be adjusted for the selected candidate.

Department Operations Role Senior Consultant Locations Montre9al, Toronto Remote status Hybrid

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