Senior Data Engineer - Cloud DW, dbt/Snowflake & Governance

Dialogue Technologies Inc.; Montreal (administrative region); Hybrid; CAD 110,000 - 150,000; Full time

Benefits offered by this job

Hybrid work: 3 days/week in Montreal/T

Job summary

Dialogue Technologies Inc. is seeking a product-oriented Senior data developer to deliver more value with our growing data product catalogue.

Specifically, we are looking for candidates with experience in structured data mart modelling in a cloud-based data warehouse. You will collaborate with data analysts, full stack developers, product managers, and software engineers to translate business requirements into robust data product features within an agile framework, emphasizing quality and data

Qualifications

• At least 3 years of experience in data/engineering roles.
• Experience with dimensional modeling and star schemas.
• Knowledge of dbt and Snowflake for data transformation and warehousing.
• Familiarity with BI as code tools and product-oriented thinking.
• Strong communication and teamwork with cross-functional teams.

Responsibilities

• Develop and maintain data warehouse modelling for staging, intermediate, and mart layers.
• Implement data pipelines and observability with data quality checks and alerts.
• Own batch and event-driven pipelines powering eligibility management and reporting.
• Participate in code reviews and design discussions for maintainable data products.
• Champion data governance and privacy practices, including anonymization and access controls.

Skills

Data modeling

Team collaboration

Communication

Data governance

Reliability mindset

Tools

dbt

Snowflake

BI as code tools

Job description

Dialogue Technologies Inc. is seeking a product-oriented Senior data developer to deliver more value with our growing data product catalogue.

Specifically, we are looking for candidates with experience in structured data mart modelling in a cloud-based data warehouse. You will collaborate with data analysts, full stack developers, product managers, and software engineers to translate business requirements into robust data product features within an agile framework, emphasizing quality and data