Data Engineer (Hybrid)
- Township of Langley, BC
- Hybrid
- Posted Sep 8, 2026
- 1 position
$76,800–$98,400 / year
Opens an external site
- Employment type
- Full-time
- Experience level
- Senior · 5+ years
- Minimum education
- Bachelor’s degree
- Posting language
- English
- Working hours
- 40 hours per week
Job summary
The Data Engineer is responsible for designing, building, and managing scalable data pipelines and ETL processes within Microsoft and Oracle environments. They also ensure data quality, security, and governance while supporting analytics teams with curated datasets and BI reporting.
Job details
The Data Engineer is responsible for designing, building, and managing scalable data pipelines and ETL processes within Microsoft and Oracle environments. They also ensure data quality, security, and governance while supporting analytics teams with curated datasets and BI reporting. Candidates must hold a bachelor's degree in computer science or a related field and possess at least 5 years of professional experience in data engineering or platform management. Proficiency in SQL, Python, and expertise in Microsoft Azure and Oracle cloud technologies are required.
What you’ll do
The Data Engineer is responsible for designing, building, and managing scalable data pipelines and ETL processes within Microsoft and Oracle environments. They also ensure data quality, security, and governance while supporting analytics teams with curated datasets and BI reporting.
Requirements
Candidates must hold a bachelor's degree in computer science or a related field and possess at least 5 years of professional experience in data engineering or platform management. Proficiency in SQL, Python, and expertise in Microsoft Azure and Oracle cloud technologies are required.
Listed skills
- Microsoft Azure · Preferred
- Power BI · Preferred
- SQL · Preferred
- Data analysis · Preferred
- Python · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Data Engineering
- Microsoft Azure
- Oracle Database
- SQL Server
- ETL
- Data Pipelines
- Data Modeling
- Python
- SQL
- Power BI
- Oracle Cloud Infrastructure
- Data Governance
- Data Warehousing
- Database Management
- Data Integration
- Analytics
Job areas
- Data & Analytics
- Technology
- Software
- Engineering
- Finance & Accounting
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