Who you are

- Extensive experience in data architecture and dimensional modeling (star / snowflake schemas), with practical experience or solid 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., Snowflake)

- A passionate champion for data who can drive data literacy, advocate for self-service analytics, and influence business teams to adopt governed data solutions
- A proactive and relentless approach to problem solving. You are comfortable seeking information independently, solving conceptual problems, corralling resources and delivering results
- A strong and confident communication style. You can listen, empathize and consult with stakeholders actively, and you can take something complex and difficult and make it easy to digest
- A sense of comfort in an ambiguous and fast-paced workplace.

We’re growing fast and things are changing every day - what worked yesterday might not work tomorrow

- DBT certifications

- Tableau certifications

- Data Engineering certifications

What the job involves

- 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

- 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

📌 Senior Business Intelligence Engineer (Vancouver)
🏢 Jobber
📍 Vancouver