Data Engineer - Analytics Pipelines & Power BI (Hybrid)

Accenture; Toronto; Hybrid; CAD 118,000 - 145,000; Full time

Benefits offered by this job

Comprehensive employee benefits

Competitive compensation package

Job summary

A global technology consulting firm in Toronto is seeking a Data Engineer to support large-scale infrastructure programs. This role involves designing data transformation frameworks for analytics-ready datasets for Power BI reporting. The ideal candidate will have extensive experience with SQL, Snowflake, and Azure Data Factory, and will work collaboratively to manage data ingestion and reporting processes. Competitive salary range from $118,000 to $145,000 annually, with a hybrid work model at downtown Toronto.

Qualifications

• 4+ years of experience in data engineering or analytics engineering roles.
• Advanced skills in Power BI including DAX and data modeling.
• Strong SQL and data transformation skills in Snowflake.

Responsibilities

• Design and implement data transformation logic.
• Deliver Power BI–ready datasets aligned to standardized KPIs.
• Develop and maintain end-to-end ELT pipelines using Azure Data Factory.

Skills

Data transformation

Power BI

SQL

Azure Data Factory

Data modeling

Education

Bachelor’s degree in Computer Science, Engineering, or Data Analytics

Tools

Snowflake

Oracle Primavera P6

Job description

A global technology consulting firm in Toronto is seeking a Data Engineer to support large-scale infrastructure programs. This role involves designing data transformation frameworks for analytics-ready datasets for Power BI reporting. The ideal candidate will have extensive experience with SQL, Snowflake, and Azure Data Factory, and will work collaboratively to manage data ingestion and reporting processes. Competitive salary range from $118,000 to $145,000 annually, with a hybrid work model at downtown Toronto.