Data & Analytics Engineer building scalable data platforms for Ledgebrook, an insurance company. Designing pipelines, governance, and cloud data systems while partnering with technical and insurance teams.
About the role
- Data Engineer Consultant building Microsoft Fabric pipelines, lakehouses, and cloud architectures for Keyrus’ client organizations. Delivering scalable, governed data platforms that turn information into actionable business intelligence.
Responsibilities
- 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 focused on scalability, governance, data quality, and performance
- Build and maintain parameterized ingestion frameworks for batch and near real-time data processing
- Develop and operate CI/CD pipelines for 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
- Evaluate emerging cloud technologies and recommend improvements to client data ecosystems and delivery capabilities
Requirements
- 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
- 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 communicate technical concepts to technical and business audiences
- Experience working within Agile and Scrum delivery environments
- Comfortable working directly with clients and contributing to solution design discussions
- Microsoft Fabric, Azure, Databricks, Snowflake, or cloud data certifications are considered an asset
- Experience optimizing Spark workloads and distributed data processing is a nice-to-have
- Familiarity with semantic models, data governance, and modern analytics ecosystems is a nice-to-have
- Exposure to Azure Data Services, Power BI, or Microsoft Fabric analytics capabilities is a nice-to-have
Benefits
- 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
- International mobility opportunities
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