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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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