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Added 1 min ago
Bureau de la transformation numérique / Digital Transformation Office - Responsable de l’IA / AI Lead
Jam
QC · Baie D'urfe, QC
Stratégie : Concevoir la feuille de route de l’entreprise en matière d’intelligence artificielle et d’apprentissage automatique.
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AG
Real Estate Valuation Analyst (Toronto)
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Added 46 mins ago
MI
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Added 1 hour ago
MI
Junior Associate Director, Operations Training
MUFG Investor Services
Toronto, ON
- $68,250 to $100,100 CAD / year
- Full-time
Support the design, delivery, and ongoing maintenance of operations training programmes in line with business and regulatory requirements.

Keyrus Canada

Senior Data Consultant – Databricks

140 John St, Toronto, ON, M5V 2E4, Canada
1396 Sainte-Catherine O, Montreal, QC, H3G 1P8, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Nov 3, 2026

Original job description

Why Keyrus, Why Now!

Keyrus is an international group of 3,000 experts across 30 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does.

For more than 30 years, we have helped organizations build the data foundations that power intelligent systems. Today, we go further by designing and operationalizing intelligence that delivers measurable business value.

Building AI capabilities is only part of the challenge. Real transformation happens when those capabilities work within existing business systems, data environments, workflows, and processes.

At Keyrus, you'll work closely with clients to develop, optimize, and support enterprise data and analytics solutions, combining Databricks, data engineering, and business intelligence capabilities to deliver reliable business insights.

Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two.

Role details

Location: Hybrid - Toronto or Montreal, Canada (2 days per week in the office)
Contract: Permanent, full-time

What you'll architect

As a Senior Data Consultant, you'll support and enhance enterprise data and analytics environments, with a strong focus on Databricks engineering, data pipelines, and production support.

You'll develop and optimize data transformations, maintain reliable analytics pipelines, and troubleshoot complex issues across production environments, while contributing to reporting and business intelligence solutions, including Power BI.

Your role requires technical autonomy, strong problem-solving skills, and the ability to deliver high-quality solutions under demanding client expectations while contributing to continuous improvement.

Your responsibilities

Develop, maintain, and optimize Databricks data pipelines and transformations using Python, PySpark, SQL, and notebooks.
Support modern lakehouse and medallion architectures (Bronze, Silver, Gold), ensuring reliable processing of structured and semi-structured data.
Troubleshoot data quality, pipeline performance, and production issues, ensuring consistency and reliability across analytics environments.
Perform QA validation and gap analysis to identify discrepancies between business requirements and delivered data solutions.
Support the development, maintenance, and optimization of Power BI dashboards, reports, and data models when required.
Collaborate with business stakeholders and technical teams to translate requirements into scalable data and analytics solutions.
Own technical deliverables end-to-end with minimal oversight, supporting enhancements, incident resolution, and continuous improvement.
Contribute to documentation, technical standards, and emerging AI-assisted workflows, including MCP server-based reporting and agentic data engineering practices.

Who you are

You are an experienced Data Consultant with strong hands-on expertise in Databricks, SQL, and modern data engineering. You are comfortable working independently in demanding production environments, investigating complex technical issues, and delivering reliable analytics solutions. You bring strong analytical thinking, attention to detail, and a consulting mindset, with the flexibility to contribute to business intelligence and reporting initiatives.

What you bring

Experience

5+ years of professional experience in data engineering, data consulting, or related data and analytics roles.
3+ years of hands-on experience developing, maintaining, and optimizing Databricks pipelines and data transformations.
Proven experience working with modern lakehouse architectures, distributed data environments, and pipeline orchestration.
Experience supporting production analytics environments, including QA validation, gap analysis, and incident resolution.
Experience collaborating with business stakeholders and technical teams, with ownership of technical deliverables.
Exposure to business intelligence and reporting solutions, preferably Power BI.

Technical skills

Strong Databricks development experience using PySpark, Python, SQL, and notebooks.
Advanced SQL skills, including data transformations, optimization, and troubleshooting.
Lakehouse and medallion architecture principles (Bronze, Silver, Gold).
Azure DevOps, CI/CD practices, version control, and development workflows.
Experience with distributed data environments, pipeline orchestration, and production data support.
Familiarity with reporting and data visualization tools, preferably Power BI.
Exposure to AI-assisted development and agentic data engineering workflows.

Nice to have

Hands-on Power BI development, including DAX, data modeling, and report performance optimization.
Experience with MCP servers or similar orchestration frameworks.
Consulting experience in demanding client environments.
Experience supporting migrations, divestitures, or complex transformation initiatives.
Familiarity with SAP Datasphere.
Experience contributing to AI-assisted or agentic data engineering practices.

What makes you successful

You build and maintain reliable Databricks data solutions.
You troubleshoot complex production issues independently.
You communicate clearly and collaborate effectively with stakeholders.
You maintain high standards of data quality and delivery.

What we offer at Keyrus

A stimulating environment where you can challenge yourself and discover new horizons.
A strong culture of innovation and entrepreneurship.
Opportunities to celebrate success through team activities, social events, and special celebrations.
Comprehensive group insurance for you and your family.
RRSP and DPSP participation plans.
Monthly wellness allowance.
Telecommunication reimbursement.
Flexible work-from-home policy.
4 weeks of paid vacation.
Language courses (French and English).

The expected base compensation for this position ranges from $110,000 to $120,000 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.

About Keyrus

At Keyrus, we help organizations move from experimental to industrialized AI, from isolated agents to orchestrated systems, and from insight to execution.

As Architects of Intelligence, we design the Operating System of the intelligent enterprise, embedding intelligence into business processes so that it creates sustainable, measurable value.

Powered by our proprietary Human Orchestrated Model™ (HOM), we architect reliable:

Intelligence Foundations
Human in Command governance
Performance Steering

With over 30 years of expertise and 3,000 experts across 30 countries, we build adaptive, resilient intelligent environments where technology amplifies human capability and performance compounds over time.

AI does not transform businesses. Architected intelligence does.

For more information: www.keyrus.com

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More about this job

Responsibilities

You will develop, maintain, and optimize Databricks data pipelines and transformations while supporting modern lakehouse architectures. Additionally, you will troubleshoot production issues and collaborate with stakeholders to deliver scalable analytics solutions and Power BI reports.

Requirements

The role requires 5+ years of experience in data engineering or consulting, with at least 3 years of hands-on expertise in Databricks and PySpark. Candidates must possess strong SQL skills, experience with production analytics environments, and the ability to work autonomously in a consulting capacity.

Skills

Databricks
PySpark
Python
SQL
Data engineering
Lakehouse architecture
Medallion architecture
Power BI
Data pipelines
Azure DevOps
CI/CD
Data modeling
Troubleshooting
Consulting
Business intelligence
Data quality

Benefits

Group insurance
RRSP participation plan
DPSP participation plan
Monthly wellness allowance
Flexible work-from-home policy
4 weeks of paid vacation
Language courses

Visa sponsorship

Not detected in the job text

Keywords

Databricks
PySpark
Python
SQL
Data Engineering
Lakehouse
Medallion Architecture
Power BI
Azure DevOps
CI/CD
Data Pipelines
Business Intelligence
Data Modeling
DAX
SAP Datasphere
MCP Servers
Agentic Data Engineering
Consulting
Production Support
QA Validation
Gap Analysis
Data Transformation
Orchestration
Version Control
Analytics
Distributed Data Environments
Technical Documentation
AI-assisted Development
Performance Optimization
Data Quality

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