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
- Senior Data Engineer Consultant at Keyrus, focusing on Snowflake and cloud data platforms. Engaging in client-facing consulting and embracing innovative data initiatives.
Responsibilities
- Collaborate with clients to understand business objectives and technical requirements, translating them into scalable, secure, and high-performing data solutions
- Lead end-to-end delivery of data initiatives: design, build, and optimize data pipelines, lakehouse architectures, and analytical data models using Azure and Snowflake as the core platform, alongside Microsoft Fabric and Databricks services
- Develop and maintain robust batch and near real-time data pipelines, supporting analytics, reporting, and advanced data use cases.
- Build data transformation and analytics engineering layers using SQL, Python, Spark, and tools such as dbt, following modern data modeling and testing practices
- Implement and integrate data ingestion solutions using tools such as Fivetran (or equivalent), APIs, file-based ingestion, and cloud-native services
- Contribute to engineering for advanced analytics and ML/AI use cases, including feature pipelines, streaming integrations (Kafka/Kinesis/Event Hubs), and integrations with AI platforms and services
- Contribute technical expertise to solution design, proposals, and pre-sales conversations, adding strategic value in client and partner discussions
- Work closely with data engineers, analysts, architects, and business stakeholders to deliver cohesive, production-ready solutions
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Technology, or equivalent experience.
- 7+ years of experience in data engineering or cloud data roles, delivering end-to-end, production data solutions.
- Experience with 2 or more modern data platforms or ecosystems, such as: Databricks, Snowflake, Microsoft Fabric, Azure.
- Strong hands-on Databricks experience, including Spark (PySpark), Delta Lake, notebooks, workflows, and lakehouse design
- Advanced SQL and Python skills for data transformation, modeling, and pipeline development
- Experience in client-facing consulting roles, including solution design and technical discussions
- Familiarity with Agile/Scrum delivery and collaboration in cross-functional teams
- Familiarity with DBT and data ingestion tools such as Fivetran (or equivalent)
- Strong communication skills, able to explain technical concepts to both technical and non-technical audiences.
Benefits
- A strong culture of innovation and entrepreneurship, occasions to celebrate your success: 5 @ 7, team activities, birthdays, breakfasts and other special events
- Group insurance for you and your family members
- RRSP and DPSP participation plan
- Monthly Wellness Allowance
- Reimbursement of telecommunication costs
- 4 weeks of paid vacation
- Language courses (French & English)
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