Why Keyrus, Why Now!
Why Keyrus, Why Now!
Keyrus is an international group of 2,800 consultants and experts across 28 countries , built on a single conviction: AI does not transform businesses. Architected intelligence does. For more than 30 years, we have been building the data foundations that make intelligent systems work — designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalise intelligence .

AI does not replace humans. It repositions us to a place no system can follow: understanding, deciding, designing, and creating. At Keyrus, you will not just develop skills—you will develop judgment. Your expertise sharpens with every pipeline you build, every architecture you improve, and every client challenge you help solve.

Over time, you grow into one of the rarest professionals of the intelligence era: someone who bridges cloud engineering, data platforms, and business decision-making at scale. This is not a role you fill. It is a discipline you master and a story you help write to become a Keyrus Architect of Intelligence .

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

Role Details
Location: Hybrid – Toronto or Montreal, Canada (2 days per week at the office)

Contract: Permanent, Full-time

What You'll Architect
As a Data Engineer Consultant (Fabric), you will architect and build modern data solutions that enable organizations to transform information into reliable, scalable, and actionable intelligence. Combining hands‑on engineering with a consulting mindset, you will collaborate directly with clients to design cloud‑native data platforms that deliver measurable business value.

Collaborate with clients to understand business objectives and translate technical requirements into scalable data solutions

Design, build, and optimize end-to-end data pipelines, lakehouses, and cloud data architectures using Microsoft Fabric and complementary technologies

Implement medallion lakehouse architectures that prioritize scalability, governance, data quality, and performance

Build and maintain parameterized ingestion frameworks supporting batch and near real‑time data processing

Develop and operate CI/CD pipelines that enable reliable, automated deployments across multiple environments

Promote and apply Microsoft Fabric best practices, reusable patterns, and engineering standards

Collaborate with Data Engineers, Analysts, Architects, and business stakeholders to deliver integrated data solutions





Continuously evaluate emerging cloud technologies and recommend improvements that strengthen client data ecosystems and delivery capabilities

WHO YOU ARE:

You see data engineering as the foundation that enables intelligent business decisions

You combine strong technical skills with a collaborative and consultative mindset

You enjoy solving complex data challenges while designing solutions that are scalable, maintainable, and business-oriented

You are comfortable working directly with clients and translating technical concepts into practical recommendations

You embrace continuous learning and enjoy exploring modern cloud and data technologies

You thrive in multidisciplinary teams where collaboration drives innovation and delivery excellence

You balance engineering rigor with pragmatism, always focusing on measurable business outcomes

WHAT YOU BRING:
Qualifications / Certifications

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field

3–5 years of experience in Data Engineering or Cloud Data Platform roles delivering end-to-end solutions

Experience working in client-facing consulting environments

Microsoft Fabric, Azure, Databricks, Snowflake, or cloud data certifications are considered an asset

Technical Skills

Strong hands‑on experience with Microsoft Fabric, including building and optimizing modern data pipelines

Experience with at least one additional cloud data platform such as Databricks, Snowflake, or Azure Data Factory

Solid understanding of data warehouse, lakehouse, and contemporary cloud data architecture patterns

Experience designing and implementing medallion lakehouse architectures

Experience building scalable ingestion frameworks for batch and near real‑time data processing

Knowledge of CI/CD pipelines and deployment automation for cloud data solutions

Ability to collaborate confidently with client teams while communicating technical concepts to both technical and business audiences

Experience working within Agile and Scrum delivery environments

Nice-to-haves

Experience optimizing Spark workloads and distributed data processing

Familiarity with semantic models, data governance, and modern analytics ecosystems

Exposure to Azure Data Services, Power BI, or Microsoft Fabric analytics capabilities

Experience contributing to reusable engineering frameworks and best practices





What Makes You Successful

Excellent communication skills, with the ability to engage both technical and non-technical stakeholders

Comfortable collaborating directly with clients and contributing to solution design discussions

Brings a consultative mindset that balances engineering excellence with business value

Demonstrates ownership, analytical thinking, and continuous improvement across every engagement

Builds trusted relationships through collaboration, technical credibility, and structured problem-solving

Thrives in fast-paced environments where innovation and teamwork drive successful delivery

WHAT WE OFFER AT KEYRUS:

A stimulating environment where you will be able to surpass yourself and discover new horizons

A strong culture of innovation and entrepreneurship

Opportunities to celebrate success through team activities, social events, birthdays, breakfasts, and special celebrations

Comprehensive group insurance for you and your family

RRSP and DPSP participation plans

Monthly Wellness Allowance

Telecommunication reimbursement

4 weeks of paid vacation

Language courses (French & English)

Access to continuous learning through certifications, conferences, training programs, and industry events

The expected base compensation for this position ranges from $80,000 to $110,000 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 AI to industrialized AI, from isolated agents to orchestrated systems, and from insight to execution. This is the discipline we call being an Architect of Intelligence. Designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalise intelligence.

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

Intelligence Foundations

Human in Command governance

Performance Steering

To create intelligent environments where technology amplifies human capabilities and performance compounds over time.

With 30+ years of expertise and 2,800 employees across 28 countries, we help organizations go beyond transformation: to build adaptive, resilient, and continuously improving intelligent organizations.

AI does not transform businesses. Architected intelligence does.

Keyrus is listed on Euronext Growth Paris. (ALKEY – ISIN Code: FR0004029411 – Reuters: KEYR.PA – Bloomberg: ALKEY: FP).

For more information: www.keyrus.com

#J-18808-Ljbffr

📌 Data Engineer Consultant (Microsoft Fabric) (Ontario)
🏢 Keyrus
📍 Ontario