Job Description

🌟Join KEYRUS and transform the future with us! 🌟

Who are we?

Keyrus Group is a trusted leader in Data Intelligence with offices across the globe in 26 countries with more than 3500 consultants worldwide. Our expert team provides strategic data engineering, data discovery, and data science solutions for our clients, primarily in the retail, non-profit, and financial services industries.

If you are looking to join an innovative startup-style company that has the support of an internationally recognized brand, we encourage you to apply and join our team!

🌍Location:  Fully remote (US) or Hybrid mode (Toronto/Montreal in Canada)

About the role:

Keyrus North America (NORAM) is seeking a full-time Senior Data Engineer with strong experience in Databricks, Microsoft Fabric, and modern cloud data platforms. This role combines hands-on data engineering with opportunities to engage in client-facing consulting, pre-sales support and contributing to high-impact data initiatives. If you bring deep technical expertise, enjoy teamwork, and thrive in a fast-paced, collaborative environment—this is your next move.

At Keyrus, every day is a chance to innovate and make an impact. You will:

• Collaborate with clients to understand business objectives and technical requirements, translating them into effective data solutions that drive value
• Lead end-to-end delivery of data initiatives: design, build, and optimize scalable data pipelines, data lakes and architectures using Databricks, Fabric, and other modern cloud tools (Snowflake, Azure Data Services, etc.)
• Lead engineering for real-time and ML/AI use cases including data/feature pipelines, Kafka/Kinesis experience, vector database integrations, and integrations with LLMs and AI services (AWS Bedrock, Azure OpenAI, Vertex AI) for enterprise applications
• Lead a small technical team, providing guidance, mentoring, and support to ensure successful delivery and development of team members
• Contribute to proposals, solutioning, and client conversations with technical expertise and market knowledge to add strategic value
• Manage Agile/Scrum project delivery, from backlog management to sprint execution, ensuring efficient outcomes
• Work closely with cross-functional teams—data engineers, analysts, and business stakeholders—to deliver cohesive and impactful solutions
• Share knowledge with peers, bring a strategic mindset to projects, and help shape best practices in our data practice
• Stay up to date with offerings and emerging technologies, recommending improvements and innovative solutions to meet business needs

What We’re Looking For : 

• Bachelor’s in computer science, IT, or related field
• 7+ years of experience in data engineering or cloud data roles, with proven success in delivering end-to-end solutions
• Hands-on experience with modern data platforms, including building and optimizing data pipelines and strong expertise in at least two of the following: Databricks, AWS, Snowflake, or Azure (Data Factory, Synapse, ADLS)
• Experience in client-facing roles, with involvement in pre-sales and proposals, and the ability to leverage market insights in client and partner conversations
• Experience managing projects or leading technical teams using Agile/Scrum methodologies, ensuring efficient and effective delivery
• Excellent communication skills, able to explain technical concepts to both technical and non-technical audiences

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
• Health insurance for you and your family members
• 401K plan
• Monthly Wellness Allowance
• 4 weeks of paid vacation
• Language courses (French & English)
• Access to continuing education (in-house, conferences, events, courses, certifications, etc.)

Join us at Keyrus! 🌟

Keyrus believes in diversity and, therefore, we only evaluate the technical and behavioral aspects of our candidates. We encourage everyone to participate in our hiring processes, regardless of their gender, age, ethnicity, religion, identity or condition! We do not allow any type of discrimination in our team.

See you in the process!

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