Senior BI Engineer building data models, semantic layers, and dashboards for Jobber’s small-business service platform. Driving governed self-service analytics and trusted business metrics.
Responsibilities
Design and develop scalable, efficient data models and governed semantic layers
Translate complex SQL queries into scalable and reusable semantic models
Optimize pipeline performance and queries
Collaborate with the Analytics team to model key business metrics
Create and maintain enterprise reports and dashboards with actionable insights
Develop and maintain reliable data transformation and loading pipelines
Manage and configure the BI platform, including user access, data governance, performance tuning, and security
Champion data literacy, governance, and adoption across the business
Support strategic decisions and operational performance monitoring across Marketing, Sales, Customer Growth & Retention, Product, and other functional areas
Report to the Manager, Business Intelligence
Requirements
Extensive experience in data architecture and dimensional modeling, including star and snowflake schemas
Practical experience or strong familiarity implementing semantic layers for self-service analytics
Expert-level SQL programming skills
Experience building and maintaining data pipelines using DBT
Understanding or experience in data governance, metric standardization, data quality enforcement, and access control
Advanced proficiency designing and constructing dashboards with Tableau or equivalent data visualization tools
Solid understanding of complex relational data structures and modern cloud data platforms such as Snowflake
Ability to champion data literacy and drive adoption of governed self-service analytics
Proactive problem-solving approach and ability to work independently
Strong communication and stakeholder consultation skills
Comfort working in an ambiguous and fast-paced environment
DBT certifications, Tableau certifications, and Data Engineering certifications are highly desired but not dealbreakers
Legally entitled to work in Canada
Successful completion of a background check, including identity verification
Based in Edmonton, Toronto, Vancouver, or Kitchener-Waterloo
Able to attend the office at least 1 day per week according to the department schedule
Benefits
Equity rewards and stock options
Annual stipends for health and wellness
Retirement savings matching in RRSP, TFSA or FHSA
Extended health package with fully paid premiums for body and mind
Dedicated talent development program
Career coaching
Career development opportunities
Coaching, learning, and leadership programs
Fully covered pre-approved travel expenses for one in-person interview
Inclusive work environment and equal opportunity employment
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