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Added 2 mins ago
QC
Quality Assurance Engineer
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Toronto, ON · Greater Toronto Area, Canada
- Full-time
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AI Engineer Sr
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- Contract
Absolutely. Based on the request in the image, I’d reposition this as a Microsoft Azure Platform Engineer / DevOps Engineer role rather than a Terraform-heavy generic DevOps role.
Added 31 mins ago
A
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- Contract
…pension organization to engage an experienced Senior AI Platform Engineer (MLOps) to support the ongoing growth and operationalization of enterprise AI…
Added 31 mins ago
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- Full-time
We are seeking a talented and experienced System Design Engineer to join our dynamic team at Nokia. In this role, you will play a crucial part in analyzing carrier networking environments…
Added 33 mins ago
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Added 33 mins ago
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Data Engineer II
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…scalable, well‑governed data foundation that enables advanced analytics and supports future growth across Claims and…
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Advanced Analytics & Statistical Modeling: Applying rigorous statistical methods to uncover hidden patterns and insights from vast, complex datasets.
Added 1 hour ago
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Added 1 hour ago
TC
ITSM Transition Anayst, Network Junior Engineer Jr
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Power BI, Tableau, or similar analytics tools
Added 1 hour ago
OD
Data Engineer / BI Developer – GCP, dbt & Power BI
OSI Digital
Toronto, ON
- Full-time
Job Title: Data Engineer / BI Developer – GCP, dbt & Power BI
Added 1 hour ago
S
AI Workflow & Operations Intern
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- Full-time
…and making them work better. You don’t need to be a software engineer - but you do need to be comfortable with data, curious about AI, and motivated by operational impact. If you’ve ever…
Added 1 hour ago
OD
Data Engineer / BI Developer – GCP, dbt & Power BI
OSI Digital
Vancouver, BC
- Full-time
Job Title: Data Engineer / BI Developer – GCP, dbt & Power BI
Added 1 hour ago
SA
Senior Data Engineer, NimbleRx
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Toronto, ON
- $195,000 to $228,000 CAD / year
As a Senior Data Engineer, you will own NimbleRx’s data platform - the layer that every other team builds on to understand the business, ship product features, and meet our compliance…
Added 1 hour ago
ED
Senior Quality Engineer/Lead - EN 323
Export Development Canada | Exportation et développement Canada
Remote, Canada
- Full-time
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Senior Software Engineer 18: Salaries typically range from $96,557 to $128,743 annually, based on qualifications and experience plus a performance-based incentive of 15%
Added 1 hour ago
RB
Staff AI Architect/Engineer
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- Full-time
This is a tremendous opportunity to reinvent architecture in the AI Age. As a Staff AI Architect/Engineer, you will operate at the intersection of hands-on AI building and enterprise…
Added 1 hour ago
Staff Information Security Engineer - Threat Detection & Response
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…the moments that matter most. As the market leader in people analytics, workforce planning, organizational design, and manager effectiveness solutions, we fuel smarter decision-making for…
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AI Engineer
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Toronto, ON
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Added 2 hours ago
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Data Engineer (Databricks / Apache Spark)
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- $65 to $75 CAD / hour
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Added 2 hours ago
GM
Principal Software Engineering - Test System Modernization
General Motors
Markham, ON
- Full-time
General Motors is seeking a Principal/Staff Software Engineer to shape and scale the engineering platforms that build, test, integrate, validate, and deliver embedded software for…
Added 2 hours ago
RB
Lead Data Engineer
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- Full-time
…new Data Foundation Hub to ingest enterprise data and power analytics and controls using a medallion architecture. As a Lead Data Platform Engineer, you will be a senior individual…
Added 2 hours ago
Business Intelligence Engineer, Forecasting & Labs Analytics
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OSI Digital

Data Engineer / BI Developer – GCP, dbt & Power BI

Vancouver, BC, Canada

$40,000 to $90,000 CAD / year · Full-time

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Job details

Pay: $40,000 to $90,000 CAD / year
Job type: Full-time
Apply by: Jan 3, 2027
Posting language: English
Posted: Oct 5, 2026

Original job description

Job Title: Data Engineer / BI Developer – GCP, dbt & Power BI
Experience: 3–5 Years
Employment Type: Full-Time
Location: Vancouver, BC Canada

Job Summary
We are looking for a Data Engineer / BI Developer with 2–4 years of experience in building cloud-based data pipelines, transformation frameworks, and analytical reporting solutions.
The ideal candidate should have hands-on experience with Google BigQuery, Apache Airflow, dbt, SQL, and Power BI, along with a good understanding of data warehousing, ETL/ELT processes, data modeling, and dashboard development.
Key Responsibilities

Design, develop, and maintain scalable data pipelines using Apache Airflow.
Develop and optimize data warehouse solutions using Google BigQuery.
Build reusable and maintainable transformation models using dbt.
Develop interactive reports and dashboards using Power BI.
Write complex and optimized SQL queries for extraction, transformation, validation, and reporting.
Create and maintain dimensional models, fact tables, views, and reporting datasets.
Develop dbt models, tests, documentation, macros, and incremental processing logic.
Monitor Airflow DAGs and troubleshoot pipeline and data-quality issues.
Optimize BigQuery queries for performance and cost efficiency.
Build Power BI semantic models, relationships, measures, calculated columns, and DAX calculations.
Perform source-to-target validation and data reconciliation.
Implement data-quality checks to ensure reliable and consistent reporting.
Participate in code reviews, deployments, testing, and production support.
Maintain technical documentation for pipelines, transformations, datasets, and dashboards.

Required Skills

2–4 years of experience in Data Engineering, Business Intelligence, or Analytics Engineering.
Strong hands-on experience with Google BigQuery.
Hands-on experience developing and maintaining Apache Airflow DAGs.
Good experience with dbt Core or dbt Cloud.
Strong knowledge of SQL and query optimization.
Hands-on experience with Power BI.
Good understanding of:
- Power Query
- DAX
- Data modeling
- Power BI Service
- Dataset / semantic model refresh
- Row-Level Security (RLS)
Understanding of ETL/ELT architecture and data warehousing concepts.
Experience working with fact and dimension models and star-schema-based reporting solutions.
Knowledge of data validation, reconciliation, and troubleshooting techniques.
Experience using Git or similar version-control tools.

Added Advantage / Good to Have

Any hands-on experience with Snowflake will be an added advantage.
Any experience with Databricks, Apache Spark, or Lakehouse architecture will be an added advantage.
Experience with Python for data engineering or automation.
Knowledge of additional GCP services such as:
- Cloud Storage
- Cloud Composer
- IAM
- Dataflow
- Pub/Sub
Exposure to other cloud platforms such as Azure or AWS.
Experience with CI/CD pipelines for dbt, Airflow, or Power BI deployments.
Understanding of data governance, data quality, metadata management, and security concepts.
Experience working in Agile/Scrum delivery environments.

Preferred Candidate Profile
The candidate should be capable of independently developing data pipelines and reporting solutions, troubleshooting technical issues, and working with business and technical stakeholders to translate requirements into scalable data solutions.
Candidates with broader modern data-platform exposure, particularly Snowflake and Databricks, will be preferred.

Primary Technology Stack:
GCP | BigQuery | Airflow | dbt | SQL | Power BI | Git | Python

Additional Advantage:
Snowflake | Databricks | Spark | Azure | AWS

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More about this job

Responsibilities

Design, develop, and maintain scalable data pipelines using Apache Airflow and Google BigQuery. Build reusable transformation models with dbt and create interactive dashboards using Power BI.

Requirements

Requires 2–4 years of experience in Data Engineering or Business Intelligence with strong proficiency in SQL and cloud-based data platforms. Candidates should have hands-on experience with dbt, Airflow, and Power BI, along with a solid understanding of data warehousing concepts.

Skills

Google BigQuery
Apache Airflow
Dbt
SQL
Power BI
Data Engineering
Business Intelligence
Data Modeling
ETL/ELT
Data Warehousing
Python
Git
DAX
Power Query
Cloud Computing
Data Quality

Visa sponsorship

Not detected in the job text

Keywords

GCP
BigQuery
Airflow
Dbt
SQL
Power BI
Data Engineering
Business Intelligence
ETL
ELT
Data Modeling
Data Warehousing
Python
Git
DAX
Power Query
Snowflake
Databricks
Spark
Cloud Composer
Dataflow
Pub/Sub
CI/CD
Agile
Scrum
Data Quality
Metadata Management
Dimensional Modeling
Star Schema
Semantic Models

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