Data Engineer, Analytics | Ingénieur de données, analytique

Role overview

Responsibilities

• Design and implement scalable ETL and ELT pipelines for analytical data stores.
• Develop logical and physical data models for multiple product and analytics use cases.
• Define data-quality frameworks, validation, monitoring, and upstream logging improvements.
• Establish data-access, privacy, and security models aligned with privacy requirements and governance standards.
• Build data-staging solutions and visualization interfaces that enable self-service exploration.
• Contribute to semantic services and metadata frameworks that standardize definitions and reduce redundancy.
• Write, debug, and optimize complex SQL and programmatic queries on distributed query engines.
• Translate business requirements into robust data infrastructure with cross-functional partners.
• Identify system gaps and propose governance, standards, policy, and metadata improvements.
• Improve shared infrastructure through peer guidance, enhancements, and documentation.

Minimum qualifications

• At least five years of data-engineering experience, including production-grade ETL or ELT pipeline design and implementation.
• At least five years writing and optimizing SQL queries on large-scale distributed data systems.
• Experience designing logical and physical data models for multiple analytical use cases at scale.
• Experience implementing data-quality processes, data-access controls, and privacy-compliant data handling.
• Experience coding in Python, Scala, or a comparable language for maintainable and testable data pipelines.

Preferred qualifications

• Experience with responsible AI practices, upstream data-quality improvements, self-service analytics, or dashboard ecosystems.
• Ongoing AI skill development, including prompt or context engineering and agent orchestration, and awareness of emerging AI technologies.
• Experience with shared data infrastructure, semantic layers, or metadata systems in a large organization.
• Familiarity with stream processing such as Apache Spark, Flink, or equivalent.
• Ability to integrate AI tools to improve workflows and produce measurable efficiency or quality gains.

Compensation

• The stated base salary is CA$131,000 to CA$181,000 per year, plus bonus, equity, and benefits.
• Individual compensation depends on skills, qualifications, experience, and location.

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