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Added 2 mins ago
AG
Kubernetes (K8s) / HPC Engineer
Axiom Global Technologies
Canada
- Contract
Deploy and manage cloud-native infrastructure on platforms such as Azure AKS, AWS EKS, and Google Kubernetes Engine (GKE).
Added 2 mins ago
PL
Infrastructure Engineer – Network, Security & IoT/OT
PineQ Lab Technology
Montreal, QC
- Contract
Cloud (AWS, Azure, GCP vulnerability posture)
Added 31 mins ago
RD
Full Stack Engineer
Randstad Digital
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Cloud & Microservices: Hands-on experience building, migrating, or transforming legacy systems to public or private cloud environments (AWS, Azure, GCP) using RESTful microservices and…
Added 48 mins ago
M
Senior Cloud Engineer -Hybrid
Manulife
Toronto, ON · Waterloo, ON
- Full-time
Are you passionate about building scalable, secure, and modern cloud solutions? We're looking for a Senior Cloud Engineer who can combine deep technical expertise with business insight to…
Added 48 mins ago
L
Database Administrator
LCBO
Toronto, ON
- Full-time
Exposure to cloud database services such as Azure SQL, Amazon Web Services RDS, Google Cloud SQL, or similar managed database platforms.
Added 1 hour ago
E
Azure Cloud Engineer
ELITS
Remote, Canada
- Full-time
- Remote
ELITS Canada is looking for an experienced Azure Cloud Engineer for a remote consulting assignment based in Canada. Candidates must be authorized to work in Canada and able to perform the…
Added 2 hours ago
NS
Senior Applied AI Engineer
Network Solutions
Canada
- Full-time
We are looking for a hands on Senior Applied AI Engineer who combines strong software engineering with practical AI problem solving. You will build production AI experiences across Network…
Added 2 hours ago
SJ
Software Engineer
So Jobs
Toronto, ON
- $202,000 to $231,000 USD / year
- Full-time
Experience with AWS, GCP, Microsoft Azure, or another cloud service
Added 2 hours ago
M
Software Engineer - Front End
Microsoft
Vancouver, BC
- Full-time
The Observability Experiences team is hiring a Software Engineer 2 to build the next generation of tools and technologies for monitoring services and infrastructure in Azure and Microsoft…
Added 8 hours ago
M
AI Engineer
maru.ai
Engineer, BC
- Full-time
Experience with cloud platforms like AWS, GCP or Azure
Added 8 hours ago
A
Intermediate Software Engineer
AltaML
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
Experience with a cloud platform (Azure, AWS, or GCP) is a plus.
Added 12 hours ago
M
Dynamics 365 CRM Solution Engineer
Microsoft
Toronto, ON · Ottawa, ON · Vancouver, BC · Edmonton, AB · Calgary, AB
- Full-time
…experiences. By integrating advanced AI capabilities across devices, cloud platforms, and everyday business applications, we help organizations realize seamless, innovative, and secure…
Added 15 hours ago
AM
AI Fleet Management Solutions
Advanced Micro Devices, Inc
Markham, ON
- Full-time
Proven experience with public cloud platforms (AWS, Azure, or GCP) and/or hybrid or edge infrastructure
Added 16 hours ago
PC
Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
PwC Canada
Ottawa, ON
- Full-time
…of a variety of opportunities including AI to Defend and/or cloud and application security initiatives for our clients. You will architect deeply technical solutions, lead cross-functional…
Added 17 hours ago
G
Senior AI Engineer
Guidepoint
Toronto, ON
- Full-time
Cloud-native production experience: containers, Kubernetes, CI/CD, observability. Azure a plus.
Added 17 hours ago
Senior Platform Engineer, AI & Fabrics
BMO
Toronto, ON · FCP
This is a build-and-run engineering role. You will design, implement, and operate significant components of these platform capabilities; writing production code, building integrations, and…
Added 17 hours ago
B
Senior Manager, Data & AI
BDO
Vancouver, BC
- Full-time
Experience with modern Data & AI technologies such as Microsoft Fabric, Azure Databricks, Snowflake, dbt, Power BI, Microsoft Purview, Azure Data Factory, Azure Synapse, Azure Machine…
Added 17 hours ago
S
Senior DevOps Engineer – AI & Data Platform
Systematix
Canada
- Contract
We are Systematix and we are currently looking for a Senior DevOps Engineer – AI & Data Platform to help modernize and automate the engineering practices supporting a rapidly growing…
Added 17 hours ago
BC
Senior Manager, Data & AI
BDO Canada
Vancouver, BC
- Full-time
Experience with modern Data & AI technologies such as Microsoft Fabric, Azure Databricks, Snowflake, dbt, Power BI, Microsoft Purview, Azure Data Factory, Azure Synapse, Azure Machine…
Added 17 hours ago
K
Senior AI Software Engineer, Agentic Systems & Data Fabric
Kinaxis
Ottawa, ON
- Full-time
The Data Fabric team is a cross-functional team at Kinaxis that builds a multi-tenant, multi-cloud data platform on Databricks (GCP & Azure) to connect, govern, secure, and discover data…
Added 17 hours ago
B
Senior Platform Engineer, AI & Fabrics
BMO
Toronto, ON
- Part-time
This is a build-and-run engineering role. You will design, implement, and operate significant components of these platform capabilities; writing production code, building integrations, and…
Added 17 hours ago
Senior Specialist, Software Engineering (CI/CD & Automation Engineering)
CMHC - SCHL
Ottawa, ON · Montreal, QC
…Automation Engineering) position, where you’ll work closely with the Platform Engineering Practice Lead to help implement a cohesive vision for scalable, secure, and automated software…
Added 17 hours ago
Senior AI Engineer
Guidepoint
Toronto, ON
Cloud-native production experience: containers, Kubernetes, CI/CD, observability. Azure a plus.
Added 17 hours ago
MC
Data Analyst – Power BI Microsoft Fabric (35903)
Myticas Consulting
Ottawa, ON
- Full-time
…analytical solutions using Microsoft Fabric, Power BI and related Azure/cloud analytics…
Added 18 hours ago
TS
Azure Architect
TECONICA SOFTWARES
Toronto, ON
- Contract
Position: Azure Platform Engineer / Microsoft Cloud Platform Engineer

OSI Digital

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

Vancouver, BC, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 4, 2026
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 and maintain scalable data pipelines, BigQuery data warehouse solutions, and reusable dbt transformations, while monitoring pipeline performance and data quality. Develop Power BI semantic models, dashboards, and reports; validate and optimize data; and support testing, deployments, documentation, and production operations.

Requirements

The role requires 2–4 years of experience in data engineering, business intelligence, or analytics engineering, with hands-on skills in BigQuery, Airflow, dbt, SQL, and Power BI. Candidates should understand data warehousing, ETL/ELT, dimensional modeling, data validation, and version control; experience with Snowflake or Databricks is preferred as an advantage.

Skills

Google BigQuery
Apache Airflow
dbt
SQL
Power BI
Data Warehousing
ETL/ELT
Data Modeling
DAX
Power Query
Git
Python
Data Quality
Dimensional Modeling
Query Optimization
Dashboard Development

Visa sponsorship

Not detected in the job text

Keywords

Google Cloud Platform
BigQuery
Apache Airflow
dbt Core
dbt Cloud
Power BI
SQL
Python
Git
Snowflake
Databricks
Apache Spark
Cloud Storage
Cloud Composer
Dataflow
Pub/Sub
ETL/ELT
Data Warehousing
Data Modeling
Star Schema
DAX
Power Query
Power BI Service
Semantic Models
Row-Level Security
Data Quality
Data Reconciliation
CI/CD
Agile/Scrum
Lakehouse Architecture

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