Manager of Data Insights at Docebo transforming complex data into clear strategies for a global AI - powered learning platform. Lead a talented analytics team for impactful insights across business functions.
CL
Senior Data Engineer – Corporate Data Analytics
Posted 14 hours ago
About the role
- Senior Data Engineer at Canadian Bank Note Company designing scalable cloud data platforms. Responsibilities include building data pipelines, ensuring data quality, and providing technical mentorship.
Responsibilities
- Design, build, and maintain scalable cloud‑native data pipelines supporting batch and near‑real‑time use cases.
- Engineer and optimize data ingestion, transformation, and orchestration pipelines using Azure Data Factory, Microsoft Fabric, Databricks, and related services.
- Implement and maintain lakehouse and medallion architectures (bronze, silver, gold) to support analytics and AI workloads.
- Develop robust transformation logic using SQL, PySpark, and Python with a focus on performance and maintainability.
- Partner with Analytics/BI Engineers to ensure datasets are optimized for semantic layers and AI consumption.
- Collaborate with data scientists to support feature engineering and model training workloads.
- Implement data quality, validation, lineage, and observability solutions to ensure trust in data assets.
- Design and enforce data security practices including access controls, encryption, and data classification.
- Automate deployment and operations using DataOps and infrastructure‑as‑code practices.
- Create and maintain technical documentation, runbooks, and architecture diagrams.
- Provide technical leadership and mentorship to junior data engineers.
Requirements
- Legally eligible to work in Canada.
- Able to obtain Government of Canada Reliability or Secret security clearance.
- Fluent in English (speak, read, write).
- Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or a related field.
- Strong understanding of lakehouse, data warehouse, and medallion architecture patterns.
- 8+ years of relevant professional experience, including: 5+ years of professional experience in cloud data engineering or data platform roles.
- 5+ years of hands‑on experience with Microsoft Azure data services.
- 5+ years of experience building data pipelines using SQL and Python or PySpark. Working with structured and semi‑structured data.
- Collaborating with analytics, BI, and AI teams.
Benefits
- health, medical and life insurance benefits
- defined contribution pension plan with company matching
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