Business Intelligence Engineer (5+ years) to develop semantic layer solutions and analytics-ready datasets using GCP BigQuery and Strategy - 010375

Our TMT client is seeking a Business Intelligence Engineer (5+ years) to develop semantic layer solutions and analytics-ready datasets using GCP BigQuery and Strategy. Join a high-visibility Consolidated Advertising Revenue Reporting initiative supporting enterprise reporting and self-service analytics. This role bridges Data Engineering, Business Intelligence, and Business Analysis to transform complex advertising revenue data into governed datasets and semantic models. The position works closely with Data Engineering teams, Finance stakeholders, and BI developers to support trusted analytics and AI-ready reporting solutions. The engagement supports ongoing enterprise data initiatives with robust potential for continued project work. Contract, Queen Street West, Toronto, Hybrid(3x/week, on Tuesdays, Wednesdays and Thursdays), Working Hours: EST Must Haves

5+ years in

Business Intelligence ,

Data Engineering , or Analytics Engineering roles Advanced

SQL

development using

BigQuery

with complex joins and aggregations Hybrid

BI Developer

and

Data Engineer

experience within large enterprise data environments Design of

dimensional data models ,

semantic layers , and enterprise reporting structures Bachelor's degree in Computer Science, Data Analytics,



Information Systems, Engineering, or a related field Experience with

Strategy

(formerly MicroStrategy) or similar enterprise BI platforms Experience working with cloud-based analytical platforms preferably

Google Cloud Platform (GCP) Nice to Have

Experience with dbt, Dataflow, Airflow, or similar cloud data technologies Background in advertising, media, broadcast, or digital revenue reporting Experience supporting Finance reporting and reconciliation processes Understanding of data governance, metadata management, and master data management concepts Responsibilities

Support the design and maintenance of the enterprise semantic layer within

GCP BigQuery Extract business rules from

legacy reports and centralize KPI definitions

into the database layer Document business metrics, hierarchies, metadata definitions, and calculation logic Collaborate with Data Engineering teams on data quality, lineage, and performance initiatives Develop and maintain

SQL

transformations, data models, and business logic for reporting datasets Gather business requirements and translate them into technical specifications Develop

semantic models

supporting Strategy and enterprise reporting solutions Disclaimer: AI may be used in evaluating candidates. This posting is for an existing vacancy.

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📌 Business Intelligence Engineer (5+ years) to develop semantic layer solutions and analytics-ready da (Winnipeg)
🏢 S.I. Systems
📍 Winnipeg