Are you passionate about the design and development of analytical assets and interactive BI solutions to help small businesses thrive? We’re looking for a Senior BI engineer to be part of our Data org. Jobber exists to help people in small businesses be successful.

We work with small home service businesses, like your local plumbers, painters, and landscapers, to transform the way service is delivered through technology. With Jobber they can quote, schedule, invoice, and collect payments from their customers, while providing an easy and professional customer experience. Running a small business today isn’t like it used to be—the way we consume and deliver service is changing rapidly, technology is evolving, and customers expect more.

That’s why we put the power and flexibility in their hands to run their businesses how, where, and when they want! Our culture of transparency, inclusivity, collaboration, and innovation has been recognized by Great Place to Work, Canada’s Most Admired Corporate Cultures, and more. With an Executive team that has over thirty years of industry experience of leading the way, we’ve come a long way from our first customer in 2011—but we’ve just scratched the surface of what we want to accomplish for our customers .

We help employees grow professionally; The Business Intelligence team is responsible for building core data models, governed semantic layers, and data pipelines necessary for enterprise-level reporting and dashboards. This team also provides data support and governance standards for consumers of core data models, ensuring metrics remain accurate, consistent, and trusted across the company. The team takes queries and requirements from stakeholders and transforms them into scalable data models for the pipeline.

This team is on the path to creating a governed, self-serve data environment for Jobberinos and is critical for all strategic business decisions that ultimately support Jobber’s Service Providers (SPs). Reporting to the Manager, Business Intelligence, the Senior Business Intelligence Engineer will champion data literacy, governance, and adoption across the business,



leading the design and development of analytical data assets, centralized semantic layers, and interactive BI solutions (reports, dashboards, and other business decision tools). This role will support strategic decisions and operational performance monitoring across all functional areas (e.g., Marketing, Sales, Customer Growth & Retention, Product).

The purpose of the role is to establish robust data governance and standardized metric definitions so all information stakeholders need is readily available, governed, and easy to consume - driving a trusted, scalable self-service analytics environment. As a Business Intelligence Engineer, you will Design and develop scalable, efficient data models and governed semantic layers that support business requirements and enable accurate, standardized reporting and analysis. Translate complex SQL queries into scalable data models and reusable semantic models with emphasis in pipeline performance and query optimization Work closely with the Analytics team to model key business metrics in the Data Models for consumption into the semantic layer Create and maintain high-quality enterprise reports and dashboards that provide actionable insights to stakeholders.

Develop and maintain data pipelines to ensure reliable and efficient data transformation, and loading processes. Manage and configure our BI platform, including user access, data governance, performance tuning, and security. Extensive experience in data architecture and dimensional modeling (star / snowflake schemas), with practical experience or strong familiarity in implementing semantic layers to support self-service analytics.

Expert-level SQL programming skills Experience in building and maintaining data pipelines using DBT Proven understanding or experience in data governance practices, including metric standardization,



data quality enforcement, and access control. Advanced proficiency in designing and constructing dashboards utilizing data visualization tools like Tableau or equivalent. A solid understanding of complex relational data structures and modern cloud data platforms (e.g., A passionate champion for data who can drive data literacy, advocate for self-service analytics, and influence business teams to adopt governed data solutions.

Tableau certifications Data Engineering certifications This role has a minimum annual salary of $125,800 CAD, a midpoint of $147,900 CAD , and a maximum salary of $170,100 CAD, designed to reflect the progression from learning the ropes to truly excelling. We design our compensation to reflect each new hire's skills, experience, and the complexity of the role, ensuring a fair and competitive salary. Our range is intentionally broad to support growth and long-term impact, with fully established hires typically starting around the midpoint.

Base salary is just one part of a total compensation package that will include equity rewards, annual stipends for health and wellness, retirement savings matching, and an extended health package with fully paid premiums for body and mind. A dedicated Talent Development team and access to coaching, learning, and leadership programs to help you grow your career, reach your goals, and unlock your full potential. To work with a group of people who are humble, supportive, and give a sh*t about our customers.

We are an equal prospect employer, and we are committed to working with applicants requesting accommodation at any stage of the hiring process. Job by job, we’re transforming the way service is delivered. Your lawn care provider, home cleaning service, plumber or painter could use Jobber to better connect with their customers, save time in the office, invoice faster, and get paid!

We’re bringing tens of thousands of people together with technology to deliver billions of dollars a year in services to happy customers. Jobber exists to help make these small businesses successful, and when they’re successful we all win!

📌 Senior Online Engineer (Edmonton)
🏢 Jobber
📍 Edmonton