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Added 13 mins ago
BG
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Added 42 mins ago
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Arobas Personnel

Business Intelligence Engineer

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 5, 2026
Experience: 3+ years of experience in Business Intelligence, Analytics Engineering, Data Engineering, or a similar role.
Posting language: English
Posted: Oct 6, 2026

Original job description

Arobas Personnel is seeking a Business Intelligence Engineer for a mandate with one of its clients located in Toronto.

This role is ideal for a data-driven professional who enjoys bridging business needs and technical solutions, while building scalable analytics and reporting environments in the cloud.

Remote : Hybrid*

Key Responsibilities

Semantic Layer Design & Data Modeling

Support the design, development, and maintenance of a centralized semantic layer within Google BigQuery, establishing a trusted source of business data.
Translate and consolidate business rules from legacy reports into standardized database logic to ensure consistent KPI definitions and reporting across departments.
Document business metrics, KPIs, dimensions, hierarchies, and calculation methodologies.
Develop reusable data models that support both operational and executive reporting requirements.

Data Engineering Collaboration

Partner with Data Engineering teams to ensure data quality, lineage, governance, and performance standards.
Support the integration and transformation of data from multiple business systems while maintaining clear end-to-end data lineage documentation.
Contribute to the design, documentation, and maintenance of SQL transformations, data models, and business logic supporting enterprise analytics.
Implement automated validation and reconciliation processes to improve data reliability.

Business Intelligence & Self-Service Analytics

Build and maintain semantic models that support enterprise BI and reporting platforms.
Collaborate with BI Developers to enhance reporting usability and performance.
Enable self-service analytics through governed datasets and reusable business metrics.
Support data security standards, including role-based and row-level access controls.

Business Analysis & Stakeholder Engagement

Gather and translate business requirements into functional and technical specifications.
Work closely with stakeholders across Finance, Sales, Revenue Operations, Product Management, and other business functions to understand reporting needs.
Facilitate discussions regarding KPI definitions, business rules, and reporting standards.
Document business processes, data definitions, and technical requirements.
Maintain business glossaries, metadata definitions, and documentation supporting data governance initiatives.

Required Qualifications

Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related discipline.
3+ years of experience in Business Intelligence, Analytics Engineering, Data Engineering, or a similar role.
Advanced SQL skills, including complex joins, aggregations, and performance optimization.
Experience working within large-scale enterprise data environments.
Strong expertise in dimensional modeling and analytics-focused data architectures.
Solid understanding of semantic layer concepts, data marts, and enterprise reporting frameworks.
Knowledge of ETL/ELT processes and data integration methodologies.
Experience with cloud analytics platforms, preferably Google Cloud Platform (GCP).
Experience with enterprise BI tools such as Strategy (formerly MicroStrategy) or comparable reporting platforms.
Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

Hands-on experience with BigQuery, dbt, Dataflow, Airflow, or related cloud data technologies.
Experience designing and maintaining enterprise semantic layers and governed analytics environments.
Background in media, advertising, digital revenue, or high-volume transactional reporting environments is considered an asset.
Experience supporting financial reporting and reconciliation processes.
Knowledge of data governance, metadata management, and master data management (MDM) principles.

Technical Skills

Data & Analytics

Advanced SQL
Dimensional Data Modeling
Fact & Dimension Tables
Star Schema Design
Semantic Layer Architecture
Data Warehousing
ETL / ELT Processes

Cloud & Engineering

Google Cloud Platform (GCP)
BigQuery
Data Pipelines
Data Integration & Transformation

BI & Reporting

Strategy (MicroStrategy) or equivalent BI platforms
Semantic Models
Enterprise Reporting Solutions

Id

10032

Emplacement

Toronto

Durée De L'emploi

Temps Plein

Nombre D'emplois Vacants

1

Date Limite De Dépôt

Dernière mise à jour:

26-10-06 15:13

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More about this job

Responsibilities

Design and maintain a centralized semantic layer, reusable data models, and standardized business metrics to support enterprise reporting and self-service analytics. Partner with data engineering teams and business stakeholders to improve data quality, governance, lineage, security, and reporting requirements.

Requirements

Requires a bachelor’s degree in a relevant discipline and at least three years of experience in business intelligence, analytics engineering, data engineering, or a similar role. Candidates should have advanced SQL, dimensional modeling, semantic layer and data warehousing expertise, knowledge of ETL/ELT and cloud analytics, and experience with enterprise BI platforms.

Skills

Advanced SQL
Dimensional Data Modeling
Semantic Layer Design
BigQuery
Google Cloud Platform
ETL/ELT
Data Integration
Data Warehousing
Data Pipelines
Strategy (MicroStrategy)
Enterprise Reporting
Data Governance
Metadata Management
KPI Definition
Data Quality
Stakeholder Engagement

Visa sponsorship

Not detected in the job text

Keywords

Business Intelligence
Analytics Engineering
Data Engineering
Advanced SQL
Google Cloud Platform
BigQuery
dbt
Dataflow
Airflow
Dimensional Modeling
Fact And Dimension Tables
Star Schema
Semantic Layer
Data Warehousing
ETL/ELT
Data Pipelines
Data Integration
Data Transformation
Strategy (MicroStrategy)
Enterprise Reporting
Self-Service Analytics
Data Governance
Metadata Management
Master Data Management
Data Lineage
Data Quality
Role-Based Access Control
Row-Level Security
Financial Reporting
Reconciliation

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