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.
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 modern 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
Role Details
Location: Hybrid – Toronto or Montreal, Canada
Contract: Full-time
Work Model: Hybrid (2 day per week on-site)
Level: Consultant
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.
Rewards - 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
What We Stand For
Collective Intelligence — Collaboration across expertise, functions, and geographies makes it possible to combine know-how and deliver more comprehensive responses to client challenges.
Reliability — The ability to deliver complex projects with rigour is one of the pillars of our client relationship.
Pragmatism — Prioritising concrete impact and measurable value over abstract technological discourse.
Entrepreneurial Spirit — Curiosity, energy, and freedom are the foundations of our culture; they enable initiative and sustained innovation.
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 operationalize intelligence.
Powered by our proprietary Human Orchestrated Model (HOM), we architect reliable:
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
