Data Engineer

Toronto, ON
On-site
Posted Sep 13, 2026
1 position

Opens an external site

Employment type: Full-time
Experience level: Senior · 5+ years
Posting language: English
Working hours: 40 hours per week

Job summary

The role involves performing data engineering tasks within the IT services industry. The candidate will be responsible for managing and processing data infrastructure.

Job details

Overview We are looking for a hands-on Senior Analytics Engineer to help build and modernise enterprise reporting solutions on Data-bricks and Power BI. The role will support the development of governed reporting datasets, interactive Power BI dashboards, and automated reporting solutions for business users. The ideal candidate should be comfortable working across data engineering, reporting, and analytics layers. Responsibilities • Design and build reporting datasets in Databricks using SQL and Delta tables. • Create reusable reporting views and data models for business consumption. • Develop Power BI dashboards, semantic models, and self-service reporting solutions. • Implement automated report generation and distribution solutions. • Work with business analysts and stakeholders to translate reporting requirements into technical solutions. • Support data reconciliation, testing, and production deployment activities. • Optimize reporting performance and data access patterns. Required Skills Data-bricks • Data-bricks SQL* • Unity Catalogue • SQL Warehouses • Delta Tables • Data modelling Power BI/Data-bricks Dashboard • Power BI Desktop* • Semantic Models • DAX • Power Query • Dashboard development (Power BI & Data-brick) Data Engineering • Advanced SQL • Data Warehousing concepts • ETL / ELT development • Data validation and reconciliation Nice to Have • Python / PySpark • Power BI APIs • Paginated Reports • Report scheduling and distribution • Financial services or investment management experience • Data-bricks reporting architecture experience Azure • Azure Data Factory (ADF) • Azure Storage • Service Principals and security concepts

What you’ll do

The role involves performing data engineering tasks within the IT services industry. The candidate will be responsible for managing and processing data infrastructure.

Requirements

The position requires a minimum of 5 years of professional experience in data engineering. Candidates must demonstrate proficiency in relevant technical domains.